23 results on '"James D. Howard"'
Search Results
2. Converging prefrontal pathways support associative and perceptual features of conditioned stimuli
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James D. Howard, Thorsten Kahnt, and Jay A. Gottfried
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Science - Abstract
Animals often need to form specific associations between perceptually similar stimuli and the different outcomes they may predict. Howard et al. find that the human brain accomplishes this via enhanced coupling between stable codes of sensory features and flexible codes of stimulus reward value.
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- 2016
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3. Dopamine neuron ensembles signal the content of sensory prediction errors
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Thomas A Stalnaker, James D Howard, Yuji K Takahashi, Samuel J Gershman, Thorsten Kahnt, and Geoffrey Schoenbaum
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dopamine ,prediction error ,learning ,rat ,human ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Dopamine neurons respond to errors in predicting value-neutral sensory information. These data, combined with causal evidence that dopamine transients support sensory-based associative learning, suggest that the dopamine system signals a multidimensional prediction error. Yet such complexity is not evident in the activity of individual neurons or population averages. How then do downstream areas know what to learn in response to these signals? One possibility is that information about content is contained in the pattern of firing across many dopamine neurons. Consistent with this, here we show that the pattern of firing across a small group of dopamine neurons recorded in rats signals the identity of a mis-predicted sensory event. Further, this same information is reflected in the BOLD response elicited by sensory prediction errors in human midbrain. These data provide evidence that ensembles of dopamine neurons provide highly specific teaching signals, opening new possibilities for how this system might contribute to learning.
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- 2019
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4. Olfactory connectivity mediates sleep-dependent food choices in humans
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Surabhi Bhutani, James D Howard, Rachel Reynolds, Phyllis C Zee, Jay Gottfried, and Thorsten Kahnt
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sleep deprivation ,food intake ,olfaction ,fMRI ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Sleep deprivation has marked effects on food intake, shifting food choices toward energy-dense options. Here we test the hypothesis that neural processing in central olfactory circuits, in tandem with the endocannabinoid system (ECS), plays a key role in mediating this relationship. We combined a partial sleep-deprivation protocol, pattern-based olfactory neuroimaging, and ad libitum food intake to test how central olfactory mechanisms alter food intake after sleep deprivation. We found that sleep restriction increased levels of the ECS compound 2-oleoylglycerol (2-OG), enhanced encoding of food odors in piriform cortex, and shifted food choices toward energy-dense food items. Importantly, the relationship between changes in 2-OG and food choices was formally mediated by odor-evoked connectivity between the piriform cortex and insula, a region involved in integrating feeding-related signals. These findings describe a potential neurobiological pathway by which state-dependent changes in the ECS may modulate chemosensory processing to regulate food choices.
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- 2019
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5. Sensory prediction errors in the human midbrain signal identity violations independent of perceptual distance
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Javier A Suarez, James D Howard, Geoffrey Schoenbaum, and Thorsten Kahnt
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associative learning ,midbrain ,fMRI ,sensory prediction error ,dopamine ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
The firing of dopaminergic midbrain neurons is thought to reflect prediction errors (PE) that depend on the difference between the value of expected and received rewards. However, recent work has demonstrated that unexpected changes in value-neutral outcome features, such as identity, can evoke similar responses. It remains unclear whether the magnitude of these identity PEs scales with the perceptual dissimilarity of expected and received rewards, or whether they are independent of perceptual similarity. We used a Pavlovian transreinforcer reversal task to elicit identity PEs for value-matched food odor rewards, drawn from two perceptual categories (sweet, savory). Replicating previous findings, identity PEs were correlated with fMRI activity in midbrain, OFC, piriform cortex, and amygdala. However, the magnitude of identity PE responses was independent of the perceptual distance between expected and received outcomes, suggesting that identity comparisons underlying sensory PEs may occur in an abstract state space independent of straightforward sensory percepts.
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- 2019
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6. To be specific: The role of orbitofrontal cortex in signaling reward identity
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James D. Howard and Thorsten Kahnt
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Value (ethics) ,Cognitive map ,Dopamine ,Reward value ,Dopaminergic ,Prefrontal Cortex ,Identity (social science) ,behavioral disciplines and activities ,Article ,Behavioral Neuroscience ,Reward ,nervous system ,mental disorders ,Animals ,Learning ,Orbitofrontal cortex ,Animal behavior ,Psychology ,Neuroscience ,psychological phenomena and processes ,Signal Transduction - Abstract
The orbitofrontal cortex (OFC) plays a prominent role in signaling reward expectations. Two important features of rewards are their value (how good they are) and their specific identity (what they are). Whereas research on OFC has traditionally focused on reward value, recent findings point toward a pivotal role of reward identity in understanding OFC signaling and its contribution to behavior. Here, we review work in rodents, nonhuman primates, and humans on how the OFC represents expectations about the identity of rewards, and how these signals contribute to outcome-guided behavior. Moreover, we summarize recent findings suggesting that specific reward expectations in OFC are learned and updated by means of identity errors in the dopaminergic midbrain. We conclude by discussing how OFC encoding of specific rewards complements recent proposals that this region represents a cognitive map of relevant task states, which forms the basis for model-based behavior. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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- 2021
7. The role of piriform associative connections in odor categorization
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Xiaojun Bao, Louise LG Raguet, Sydni M Cole, James D Howard, and Jay A Gottfried
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functional MRI ,multivariate pattern analysis ,piriform cortex ,GABA(B) receptor ,baclofen ,perceptual categorization ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Distributed neural activity patterns are widely proposed to underlie object identification and categorization in the brain. In the olfactory domain, pattern-based representations of odor objects are encoded in piriform cortex. This region receives both afferent and associative inputs, though their relative contributions to odor perception are poorly understood. Here, we combined a placebo-controlled pharmacological fMRI paradigm with multivariate pattern analyses to test the role of associative connections in sustaining olfactory categorical representations. Administration of baclofen, a GABA(B) agonist known to attenuate piriform associative inputs, interfered with within-category pattern separation in piriform cortex, and the magnitude of this drug-induced change predicted perceptual alterations in fine-odor discrimination performance. Comparatively, baclofen reduced pattern separation between odor categories in orbitofrontal cortex, and impeded within-category generalization in hippocampus. Our findings suggest that odor categorization is a dynamic process concurrently engaging stimulus discrimination and generalization at different stages of olfactory information processing, and highlight the importance of associative networks in maintaining categorical boundaries.
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- 2016
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8. Targeted Stimulation of an Orbitofrontal Network Disrupts Decisions Based on Inferred, Not Experienced Outcomes
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Fang Wang, Thorsten Kahnt, Geoffrey Schoenbaum, Joel L. Voss, and James D. Howard
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0301 basic medicine ,Sensory preconditioning ,Adult ,Male ,medicine.medical_treatment ,Behavioral/Cognitive ,CTBS ,Decision Making ,Sensation ,Inference ,Prefrontal Cortex ,Stimulation ,Context (language use) ,Affect (psychology) ,Task (project management) ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Reward ,transcranial magnetic stimulation ,Conditioning, Psychological ,medicine ,Humans ,Theta Rhythm ,model based ,Research Articles ,030304 developmental biology ,0303 health sciences ,General Neuroscience ,decision-making ,Anticipation, Psychological ,Magnetic Resonance Imaging ,Transcranial magnetic stimulation ,030104 developmental biology ,Odorants ,Orbitofrontal cortex ,Female ,model free ,Direct experience ,Cues ,Nerve Net ,Psychology ,orbitofrontal cortex ,Neuroscience ,030217 neurology & neurosurgery ,psychological phenomena and processes ,sensory preconditioning ,Photic Stimulation - Abstract
When direct experience is unavailable, animals and humans can imagine or infer the future to guide decisions. Behavior based on direct experience versus inference may recruit partially distinct brain circuits. In rodents, the orbitofrontal cortex (OFC) contains neural signatures of inferred outcomes, and OFC is necessary for behavior that requires inference but not for responding driven by direct experience. In humans, OFC activity is also correlated with inferred outcomes, but it is unclear whether OFC activity is required for inference-based behavior. To test this, we used noninvasive network-based continuous theta burst stimulation (cTBS) in human subjects (male and female) to target lateral OFC networks in the context of a sensory preconditioning task that was designed to isolate inference-based behavior from responding that can be based on direct experience alone. We show that, relative to sham, cTBS targeting this network impairs reward-related behavior in conditions in which outcome expectations have to be mentally inferred. In contrast, OFC-targeted stimulation does not impair behavior that can be based on previously experienced stimulus–outcome associations. These findings suggest that activity in the targeted OFC network supports decision-making when outcomes have to be mentally simulated, providing converging cross-species evidence for a critical role of OFC in model-based but not model-free control of behavior.SIGNIFICANCE STATEMENTIt is widely accepted that the orbitofrontal cortex (OFC) is important for decision-making. However, it is less clear how exactly this region contributes to behavior. Here we test the hypothesis that the human OFC is only required for decision-making when future outcomes have to be mentally simulated, but not when direct experience with stimulus–outcome associations is available. We show that targeting OFC network activity in humans using network-based continuous theta burst stimulation selectively impairs behavior that requires inference but does not affect responding that can be based solely on direct experience. These results are in line with previous findings in animals and suggest a critical role for human OFC in model-based but not model-free behavior.
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- 2020
9. Primary mirror aluminizing operations at the Large Binocular Telescope
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J. Riedl, John M. Hill, B. A. Sabol, Daniel Pappalardo, M. Gardiner, Bruce Atwood, J-P. Haddad, Michelle L. Edwards, Joseph T. Williams, and James D. Howard
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Binocular telescope ,Computer science ,Mechanical engineering ,Large Binocular Telescope ,Overhead crane ,engineering.material ,law.invention ,Primary mirror ,Deposition rate ,Telescope ,Coating ,law ,Coating system ,engineering - Abstract
We summarize the operational realities of re-aluminizing 8.4-meter primary mirrors in-situ on the Large Binocular Telescope. We review the evaporative coating system design, and summarize its performance in the 16 coatings since 2005. A mostly manual system with long-handled mops and traditional chemicals is used to remove the old coating and to clean the glass surface. After cleaning, the telescope is moved to horizon-pointing orientation and the aluminizing belljar is mounted to the primary mirror cell using the overhead crane internal to the enclosure. We report on the multi-year struggle to understand variations in deposition rate among the 28 crucibles that evaporate the aluminum. We describe the challenges of making operational improvements to a system that must reliably coat one of the two primary mirrors every year, and we report on some lessons learned along the way.
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- 2020
10. Causal investigations into orbitofrontal control of human decision making
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Thorsten Kahnt and James D. Howard
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Cognitive map ,Cognitive Neuroscience ,media_common.quotation_subject ,05 social sciences ,Inference ,behavioral disciplines and activities ,050105 experimental psychology ,Article ,03 medical and health sciences ,Behavioral Neuroscience ,Psychiatry and Mental health ,0302 clinical medicine ,Brain stimulation ,0501 psychology and cognitive sciences ,Orbitofrontal cortex ,Function (engineering) ,Human decision ,Control (linguistics) ,Psychology ,030217 neurology & neurosurgery ,Loss function ,psychological phenomena and processes ,Cognitive psychology ,media_common - Abstract
Although it is widely accepted that the orbitofrontal cortex (OFC) is important for decision making, its precise contribution to behavior remains a topic of debate. While many loss of function experiments have been conducted in animals, causal studies of human OFC function are relatively scarce. This review discusses recent causal investigations into the human OFC, with an emphasis on advances in network-based brain stimulation approaches to indirectly perturb OFC function. Findings show that disruption of human OFC impairs decisions that require mental simulation of outcomes. Taken together, these results support the idea that human OFC contributes to decision making by representing a cognitive map of the task environment, facilitating inference of outcomes not yet experienced. Future work may utilize similar non-invasive approaches in clinical settings to mitigate decision making deficits in neuropsychiatric disorders.
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- 2020
11. Identity-Specific Reward Representations in Orbitofrontal Cortex Are Modulated by Selective Devaluation
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Thorsten Kahnt and James D. Howard
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Adult ,Male ,0301 basic medicine ,Ventromedial prefrontal cortex ,Prefrontal Cortex ,Olfaction ,Choice Behavior ,Identity (music) ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Reward ,Neuroimaging ,Task Performance and Analysis ,medicine ,Humans ,Research Articles ,Feedback, Physiological ,Cognitive map ,Appetite Regulation ,General Neuroscience ,Human brain ,Anticipation, Psychological ,030104 developmental biology ,medicine.anatomical_structure ,Odor ,Female ,Orbitofrontal cortex ,Psychology ,psychological phenomena and processes ,030217 neurology & neurosurgery ,Cognitive psychology - Abstract
Goal-directed behavior is sensitive to the current value of expected outcomes. This requires independent representations of specific rewards, which have been linked to orbitofrontal cortex (OFC) function. However, the mechanisms by which the human brain updates specific goals on the fly, and translates those updates into choices, have remained unknown. Here we implemented selective devaluation of appetizing food odors in combination with pattern-based neuroimaging and a decision-making task. We found that in a hungry state, participants chose to smell high-intensity versions of two value-matched food odor rewards. After eating a meal corresponding to one of the two odors, participants switched choices toward the low intensity of the sated odor but continued to choose the high intensity of the nonsated odor. This sensory-specific behavioral effect was mirrored by pattern-based changes in fMRI signal in lateral posterior OFC, where specific reward identity representations were altered after the meal for the sated food odor but retained for the nonsated counterpart. In addition, changes in functional connectivity between the OFC and general value coding in ventromedial prefrontal cortex (vmPFC) predicted individual differences in satiety-related choice behavior. These findings demonstrate how flexible representations of specific rewards in the OFC are updated by devaluation, and how functional connections to vmPFC reflect the current value of outcomes and guide goal-directed behavior.SIGNIFICANCE STATEMENTThe orbitofrontal cortex (OFC) is critical for goal-directed behavior. A recent proposal is that OFC fulfills this function by representing a variety of state and task variables (“cognitive maps”), including a conjunction of expected reward identity and value. Here we tested how identity-specific representations of food odor reward are updated by satiety. We found that fMRI pattern-based signatures of reward identity in lateral posterior OFC were modulated after selective devaluation, and that connectivity between this region and general value coding ventromedial prefrontal cortex (vmPFC) predicted choice behavior. These results provide evidence for a mechanism by which devaluation modulates a cognitive map of expected reward in OFC and thereby alters general value signals in vmPFC to guide goal-directed behavior.
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- 2017
12. Author response: Dopamine neuron ensembles signal the content of sensory prediction errors
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Samuel J. Gershman, Geoffrey Schoenbaum, Thorsten Kahnt, Yuji K. Takahashi, Thomas A. Stalnaker, and James D. Howard
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medicine.anatomical_structure ,Computer science ,Dopamine ,Content (measure theory) ,medicine ,Sensory system ,Neuron ,Signal ,Neuroscience ,medicine.drug - Published
- 2019
13. Author response: Olfactory connectivity mediates sleep-dependent food choices in humans
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James D. Howard, Rachel Reynolds, Thorsten Kahnt, Phyllis C. Zee, Surabhi Bhutani, and Jay A. Gottfried
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Food choice ,Psychology ,Sleep in non-human animals ,Neuroscience - Published
- 2019
14. Author response: Sensory prediction errors in the human midbrain signal identity violations independent of perceptual distance
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James D. Howard, Thorsten Kahnt, Javier A Suarez, and Geoffrey Schoenbaum
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Midbrain ,Communication ,business.industry ,Perception ,media_common.quotation_subject ,Identity (social science) ,Sensory system ,business ,Psychology ,Signal ,media_common - Published
- 2019
15. LSST: from Science Drivers to Reference Design and Anticipated Data Products
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Željko Ivezić, Steven M. Kahn, J. Anthony Tyson, Bob Abel, Emily Acosta, Robyn Allsman, David Alonso, Yusra AlSayyad, Scott F. Anderson, John Andrew, James Roger P. Angel, George Z. Angeli, Reza Ansari, Pierre Antilogus, Constanza Araujo, Robert Armstrong, Kirk T. Arndt, Pierre Astier, Éric Aubourg, Nicole Auza, Tim S. Axelrod, Deborah J. Bard, Jeff D. Barr, Aurelian Barrau, James G. Bartlett, Amanda E. Bauer, Brian J. Bauman, Sylvain Baumont, Ellen Bechtol, Keith Bechtol, Andrew C. Becker, Jacek Becla, Cristina Beldica, Steve Bellavia, Federica B. Bianco, Rahul Biswas, Guillaume Blanc, Jonathan Blazek, Roger D. Blandford, Josh S. Bloom, Joanne Bogart, Tim W. Bond, Michael T. Booth, Anders W. Borgland, Kirk Borne, James F. Bosch, Dominique Boutigny, Craig A. Brackett, Andrew Bradshaw, William Nielsen Brandt, Michael E. Brown, James S. Bullock, Patricia Burchat, David L. Burke, Gianpietro Cagnoli, Daniel Calabrese, Shawn Callahan, Alice L. Callen, Jeffrey L. Carlin, Erin L. Carlson, Srinivasan Chandrasekharan, Glenaver Charles-Emerson, Steve Chesley, Elliott C. Cheu, Hsin-Fang Chiang, James Chiang, Carol Chirino, Derek Chow, David R. Ciardi, Charles F. Claver, Johann Cohen-Tanugi, Joseph J. Cockrum, Rebecca Coles, Andrew J. Connolly, Kem H. Cook, Asantha Cooray, Kevin R. Covey, Chris Cribbs, Wei Cui, Roc Cutri, Philip N. Daly, Scott F. Daniel, Felipe Daruich, Guillaume Daubard, Greg Daues, William Dawson, Francisco Delgado, Alfred Dellapenna, Robert de Peyster, Miguel de Val-Borro, Seth W. Digel, Peter Doherty, Richard Dubois, Gregory P. Dubois-Felsmann, Josef Durech, Frossie Economou, Tim Eifler, Michael Eracleous, Benjamin L. Emmons, Angelo Fausti Neto, Henry Ferguson, Enrique Figueroa, Merlin Fisher-Levine, Warren Focke, Michael D. Foss, James Frank, Michael D. Freemon, Emmanuel Gangler, Eric Gawiser, John C. Geary, Perry Gee, Marla Geha, Charles J. B. Gessner, Robert R. Gibson, D. Kirk Gilmore, Thomas Glanzman, William Glick, Tatiana Goldina, Daniel A. Goldstein, Iain Goodenow, Melissa L. Graham, William J. Gressler, Philippe Gris, Leanne P. Guy, Augustin Guyonnet, Gunther Haller, Ron Harris, Patrick A. Hascall, Justine Haupt, Fabio Hernandez, Sven Herrmann, Edward Hileman, Joshua Hoblitt, John A. Hodgson, Craig Hogan, James D. Howard, Dajun Huang, Michael E. Huffer, Patrick Ingraham, Walter R. Innes, Suzanne H. Jacoby, Bhuvnesh Jain, Fabrice Jammes, James Jee, Tim Jenness, Garrett Jernigan, Darko Jevremović, Kenneth Johns, Anthony S. Johnson, Margaret W. G. Johnson, R. Lynne Jones, Claire Juramy-Gilles, Mario Jurić, Jason S. Kalirai, Nitya J. Kallivayalil, Bryce Kalmbach, Jeffrey P. Kantor, Pierre Karst, Mansi M. Kasliwal, Heather Kelly, Richard Kessler, Veronica Kinnison, David Kirkby, Lloyd Knox, Ivan V. Kotov, Victor L. Krabbendam, K. Simon Krughoff, Petr Kubánek, John Kuczewski, Shri Kulkarni, John Ku, Nadine R. Kurita, Craig S. Lage, Ron Lambert, Travis Lange, J. Brian Langton, Laurent Le Guillou, Deborah Levine, Ming Liang, Kian-Tat Lim, Chris J. Lintott, Kevin E. Long, Margaux Lopez, Paul J. Lotz, Robert H. Lupton, Nate B. Lust, Lauren A. MacArthur, Ashish Mahabal, Rachel Mandelbaum, Thomas W. Markiewicz, Darren S. Marsh, Philip J. Marshall, Stuart Marshall, Morgan May, Robert McKercher, Michelle McQueen, Joshua Meyers, Myriam Migliore, Michelle Miller, David J. Mills, Connor Miraval, Joachim Moeyens, Fred E. Moolekamp, David G. Monet, Marc Moniez, Serge Monkewitz, Christopher Montgomery, Christopher B. Morrison, Fritz Mueller, Gary P. Muller, Freddy Muñoz Arancibia, Douglas R. Neill, Scott P. Newbry, Jean-Yves Nief, Andrei Nomerotski, Martin Nordby, Paul O’Connor, John Oliver, Scot S. Olivier, Knut Olsen, William O’Mullane, Sandra Ortiz, Shawn Osier, Russell E. Owen, Reynald Pain, Paul E. Palecek, John K. Parejko, James B. Parsons, Nathan M. Pease, J. Matt Peterson, John R. Peterson, Donald L. Petravick, M. E. Libby Petrick, Cathy E. Petry, Francesco Pierfederici, Stephen Pietrowicz, Rob Pike, Philip A. Pinto, Raymond Plante, Stephen Plate, Joel P. Plutchak, Paul A. Price, Michael Prouza, Veljko Radeka, Jayadev Rajagopal, Andrew P. Rasmussen, Nicolas Regnault, Kevin A. Reil, David J. Reiss, Michael A. Reuter, Stephen T. Ridgway, Vincent J. Riot, Steve Ritz, Sean Robinson, William Roby, Aaron Roodman, Wayne Rosing, Cecille Roucelle, Matthew R. Rumore, Stefano Russo, Abhijit Saha, Benoit Sassolas, Terry L. Schalk, Pim Schellart, Rafe H. Schindler, Samuel Schmidt, Donald P. Schneider, Michael D. Schneider, William Schoening, German Schumacher, Megan E. Schwamb, Jacques Sebag, Brian Selvy, Glenn H. Sembroski, Lynn G. Seppala, Andrew Serio, Eduardo Serrano, Richard A. Shaw, Ian Shipsey, Jonathan Sick, Nicole Silvestri, Colin T. Slater, J. Allyn Smith, R. Chris Smith, Shahram Sobhani, Christine Soldahl, Lisa Storrie-Lombardi, Edward Stover, Michael A. Strauss, Rachel A. Street, Christopher W. Stubbs, Ian S. Sullivan, Donald Sweeney, John D. Swinbank, Alexander Szalay, Peter Takacs, Stephen A. Tether, Jon J. Thaler, John Gregg Thayer, Sandrine Thomas, Adam J. Thornton, Vaikunth Thukral, Jeffrey Tice, David E. Trilling, Max Turri, Richard Van Berg, Daniel Vanden Berk, Kurt Vetter, Francoise Virieux, Tomislav Vucina, William Wahl, Lucianne Walkowicz, Brian Walsh, Christopher W. Walter, Daniel L. Wang, Shin-Yawn Wang, Michael Warner, Oliver Wiecha, Beth Willman, Scott E. Winters, David Wittman, Sidney C. Wolff, W. Michael Wood-Vasey, Xiuqin Wu, Bo Xin, Peter Yoachim, Hu Zhan, Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire des matériaux avancés (LMA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Univers et Particules de Montpellier (LUPM), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Instituto de RadioAstronomía Milimétrica (IRAM), Centre National de la Recherche Scientifique (CNRS), LSST, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Montpellier 2 - Sciences et Techniques (UM2)
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010504 meteorology & atmospheric sciences ,Astronomy ,observational [methods] ,Field of view ,Astrophysics ,7. Clean energy ,01 natural sciences ,law.invention ,law ,size distribution ,sagittarius dwarf galaxy ,010303 astronomy & astrophysics ,stars: general ,media_common ,Physics ,Reference design ,general [stars] ,gamma-ray bursts ,Astrophysics (astro-ph) ,observations [cosmology] ,proper motion stars ,ia supernovae ,astrometry ,methods: observational ,Astronomical and Space Sciences ,Physical Chemistry (incl. Structural) ,Milky Way ,media_common.quotation_subject ,Dark matter ,FOS: Physical sciences ,Large Synoptic Survey Telescope ,Astronomy & Astrophysics ,milky-way tomography ,Primary mirror ,Telescope ,surveys ,astro-ph ,0103 physical sciences ,Galaxy: general ,general [Galaxy] ,0105 earth and related environmental sciences ,dark-energy constraints ,Organic Chemistry ,Astronomy and Astrophysics ,Space and Planetary Science ,Sky ,tidal disruption events ,cosmology: observations ,digital sky survey ,lensing power spectrum ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] - Abstract
(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a single wide-deep-fast sky survey, and LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. LSST will be a wide-field ground-based system sited at Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg$^2$ field of view, and a 3.2 Gigapixel camera. The standard observing sequence will consist of pairs of 15-second exposures in a given field, with two such visits in each pointing in a given night. With these repeats, the LSST system is capable of imaging about 10,000 square degrees of sky in a single filter in three nights. The typical 5$\sigma$ point-source depth in a single visit in $r$ will be $\sim 24.5$ (AB). The project is in the construction phase and will begin regular survey operations by 2022. The survey area will be contained within 30,000 deg$^2$ with $\delta, Comment: 57 pages, 32 color figures, version with high-resolution figures available from https://www.lsst.org/overview
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- 2019
16. Targeted Stimulation of Human Orbitofrontal Networks Disrupts Outcome-Guided Behavior
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Thorsten Kahnt, James D. Howard, Geoffrey Schoenbaum, Joel L. Voss, Rachel Reynolds, and Devyn E. Smith
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Male ,0301 basic medicine ,medicine.medical_treatment ,CTBS ,Devaluation ,Prefrontal Cortex ,Stimulation ,Biology ,behavioral disciplines and activities ,Article ,General Biochemistry, Genetics and Molecular Biology ,Sham group ,03 medical and health sciences ,0302 clinical medicine ,Reward ,medicine ,Humans ,Reinforcement ,030304 developmental biology ,0303 health sciences ,medicine.diagnostic_test ,Network activity ,Smell ,Transcranial magnetic stimulation ,030104 developmental biology ,Food ,Odorants ,Conditioning, Operant ,Female ,Orbitofrontal cortex ,Cues ,Psychology ,General Agricultural and Biological Sciences ,Lateral prefrontal cortex ,Functional magnetic resonance imaging ,Reinforcement, Psychology ,Neuroscience ,psychological phenomena and processes ,030217 neurology & neurosurgery - Abstract
Outcome-guided behavior requires knowledge about the current value of expected outcomes. Such behavior can be isolated in the reinforcer devaluation task, which assesses the ability to infer the current value of specific rewards after devaluation. Animal lesion studies demonstrate that orbitofrontal cortex (OFC) is necessary for normal behavior in this task, but a causal role for human OFC in outcome-guided behavior has not been established. Here, we used sham-controlled, non-invasive, continuous theta-burst stimulation (cTBS) to temporarily disrupt human OFC network activity by stimulating a site in the lateral prefrontal cortex that is strongly connected to OFC prior to devaluation of food odor rewards. Subjects in the sham group appropriately avoided Pavlovian cues associated with devalued food odors. However, subjects in the stimulation group persistently chose those cues, even though devaluation of food odors themselves was unaffected by cTBS. This behavioral impairment was mirrored in changes in resting-state functional magnetic resonance imaging (rs-fMRI) activity such that subjects in the stimulation group exhibited reduced OFC network connectivity after cTBS, and the magnitude of this reduction was correlated with choices after devaluation. These findings demonstrate the feasibility of indirectly targeting the human OFC with non-invasive cTBS and indicate that OFC is specifically required for inferring the value of expected outcomes.
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- 2020
17. The Persian Wars, 602-628
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James D. Howard-Johnston
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History ,language ,Ancient history ,Christianity ,language.human_language ,Persian - Published
- 2017
18. Islamic Conquests, 622-645
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James D. Howard-Johnston
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- 2017
19. Configural and Elemental Coding of Natural Odor Mixture Components in the Human Brain
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James D. Howard and Jay A. Gottfried
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Olfactory system ,Neuroscience(all) ,media_common.quotation_subject ,Article ,Gas Chromatography-Mass Spectrometry ,03 medical and health sciences ,0302 clinical medicine ,Functional neuroimaging ,Salience (neuroscience) ,Perception ,Image Processing, Computer-Assisted ,medicine ,Humans ,030304 developmental biology ,media_common ,0303 health sciences ,Functional Neuroimaging ,General Neuroscience ,Brain ,Human brain ,Olfactory Perception ,Magnetic Resonance Imaging ,Smell ,medicine.anatomical_structure ,Odor ,Embodied cognition ,Odorants ,Orbitofrontal cortex ,Psychology ,psychological phenomena and processes ,030217 neurology & neurosurgery ,Cognitive psychology - Abstract
SummaryMost real-world odors are complex mixtures of distinct molecular components. Olfactory systems can adopt different strategies to contend with this stimulus complexity. In elemental processing, odor perception is derived from the sum of its parts; in configural processing, the parts are integrated into unique perceptual wholes. Here we used gas-chromatography/mass-spectrometry techniques to deconstruct a complex natural food smell and assess whether olfactory salience is confined to the whole odor or is also embodied in its parts. By implementing an fMRI sensory-specific satiety paradigm, we identified reward-based changes in orbitofrontal cortex (OFC) for the whole odor and for a small subset of components. Moreover, component-specific changes in OFC-amygdala connectivity correlated with perceived value. Our findings imply that the human brain has direct access to the elemental content of a natural food odor, and highlight the dynamic capacity of the olfactory system to engage both object-level and component-level mechanisms to subserve behavior.
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- 2014
20. Grid-like Neural Representations Support Olfactory Navigation of a Two-Dimensional Odor Space
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Xiaojun Bao, Thorsten Kahnt, James D. Howard, Eva Gjorgieva, Laura K. Shanahan, and Jay A. Gottfried
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Adult ,Male ,0301 basic medicine ,Adolescent ,Computer science ,Ventromedial prefrontal cortex ,Prefrontal Cortex ,Space (commercial competition) ,Article ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Neural Pathways ,medicine ,Entorhinal Cortex ,Grid Cells ,Humans ,Olfactory navigation ,Prefrontal cortex ,Cognitive map ,Orientation (computer vision) ,business.industry ,Functional Neuroimaging ,General Neuroscience ,Pattern recognition ,Olfactory Perception ,Entorhinal cortex ,Magnetic Resonance Imaging ,030104 developmental biology ,medicine.anatomical_structure ,Odor ,Female ,Artificial intelligence ,business ,psychological phenomena and processes ,030217 neurology & neurosurgery ,Spatial Navigation - Abstract
Searching for food, friends, and mates often begins with an airborne scent. Importantly, odor concentration rises with physical proximity to an odorous source, suggesting a framework for orienting within olfactory landscapes to optimize behavior. Here, we created a two-dimensional odor space composed purely of odor stimuli to model how a navigator encounters smells in a natural environment. We show that human subjects can learn to navigate in olfactory space and form predictions of to-be-encountered smells. During navigation, fMRI responses in entorhinal cortex and ventromedial prefrontal cortex take the form of grid-like representations with hexagonal periodicity and entorhinal grid strength scaled with behavioral performance across subjects. The identification of olfactory grid-like codes with 6-fold symmetry highlights a unique neural mechanism by which odor information can be assembled into spatially navigable cognitive maps, optimizing orientation, and path finding toward an odor source.
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- 2019
21. Converging prefrontal pathways support associative and perceptual features of conditioned stimuli
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Jay A. Gottfried, James D. Howard, and Thorsten Kahnt
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0301 basic medicine ,Adult ,Male ,media_common.quotation_subject ,Science ,Conditioning, Classical ,General Physics and Astronomy ,Prefrontal Cortex ,Sensory system ,Stimulus (physiology) ,Brain mapping ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Perception ,Neural Pathways ,Humans ,Associative property ,media_common ,Brain Mapping ,Multidisciplinary ,Extramural ,Classical conditioning ,Brain ,General Chemistry ,Ambiguity ,Magnetic Resonance Imaging ,030104 developmental biology ,Odorants ,Female ,sense organs ,Psychology ,Neuroscience ,030217 neurology & neurosurgery ,psychological phenomena and processes - Abstract
Perceptually similar stimuli often predict vastly different outcomes, requiring the brain to maintain specific associations in the face of potential ambiguity. This could be achieved either through local changes in stimulus representations, or through modulation of functional connections between stimulus-coding and outcome-coding regions. Here we test these competing hypotheses using classical conditioning of perceptually similar odours in the context of human fMRI. Pattern-based analyses of odour-evoked fMRI activity reveal that odour category, identity and value are coded in piriform (PC), orbitofrontal (OFC) and ventromedial prefrontal (vmPFC) cortices, respectively. However, we observe no learning-related reorganization of category or identity representations. Instead, changes in connectivity between vmPFC and OFC are correlated with learning-related changes in value, whereas connectivity changes between vmPFC and PC predict changes in perceived odour similarity. These results demonstrate that dissociable neural pathways support associative and perceptual representations of sensory stimuli., Animals often need to form specific associations between perceptually similar stimuli and the different outcomes they may predict. Howard et al. find that the human brain accomplishes this via enhanced coupling between stable codes of sensory features and flexible codes of stimulus reward value.
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- 2016
22. Author response: The role of piriform associative connections in odor categorization
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Xiaojun Bao, Jay A. Gottfried, Louise Lg Raguet, Sydni M Cole, and James D. Howard
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0301 basic medicine ,Cognitive science ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Categorization ,Odor ,Psychology ,030217 neurology & neurosurgery ,Associative property - Published
- 2016
23. Identity-specific coding of future rewards in the human orbitofrontal cortex
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Jay A. Gottfried, Thorsten Kahnt, James D. Howard, Philippe N. Tobler, University of Zurich, and Kahnt, Thorsten
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Adult ,Male ,Ventromedial prefrontal cortex ,Prefrontal Cortex ,Olfaction ,Amygdala ,Young Adult ,Reward ,10007 Department of Economics ,Cortex (anatomy) ,Physical Stimulation ,medicine ,Humans ,Prefrontal cortex ,1000 Multidisciplinary ,Behavior ,Multidisciplinary ,Respiration ,Classical conditioning ,Biological Sciences ,330 Economics ,Associative learning ,medicine.anatomical_structure ,Odorants ,Orbitofrontal cortex ,Female ,Perception ,Nerve Net ,Psychology ,Neuroscience ,Orbit ,psychological phenomena and processes - Abstract
Nervous systems must encode information about the identity of expected outcomes to make adaptive decisions. However, the neural mechanisms underlying identity-specific value signaling remain poorly understood. By manipulating the value and identity of appetizing food odors in a pattern-based imaging paradigm of human classical conditioning, we were able to identify dissociable predictive representations of identity-specific reward in orbitofrontal cortex (OFC) and identity-general reward in ventromedial prefrontal cortex (vmPFC). Reward-related functional coupling between OFC and olfactory (piriform) cortex and between vmPFC and amygdala revealed parallel pathways that support identity-specific and -general predictive signaling. The demonstration of identity-specific value representations in OFC highlights a role for this region in model-based behavior and reveals mechanisms by which appetitive behavior can go awry.
- Published
- 2015
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