Search

Your search keyword '"Michon, Frédéric"' showing total 27 results
Start Over Author "Michon, Frédéric"
27 results on '"Michon, Frédéric"'

6. Can mirror self-recognition in mice unpack the neural underpinnings of self-awareness?

Author

Keysers, Christian, Michon, Frédéric, Keysers, Christian, and Michon, Frédéric

Abstract

In this issue of Neuron, Yokose et al. show that mice groom a mark on their forehead when exposed to a mirror. Comparing this behavior with hominids' helps carve self-awareness into its component parts and explore the neural mechanisms of its shared components.

Published
2024

15. Real-Time Readout of Large-Scale Unsorted Neural Ensemble Place Codes

Author

Picower Institute for Learning and Memory, Hu, Sile, Ciliberti, Davide, Grosmark, Andres D., Michon, Frédéric, Ji, Daoyun, Penagos, Hector L., Buzsáki, György, Wilson, Matthew A., Kloosterman, Fabian, Chen, Zhe, Picower Institute for Learning and Memory, Hu, Sile, Ciliberti, Davide, Grosmark, Andres D., Michon, Frédéric, Ji, Daoyun, Penagos, Hector L., Buzsáki, György, Wilson, Matthew A., Kloosterman, Fabian, and Chen, Zhe

Abstract

Uncovering spatial representations from large-scale ensemble spike activity in specific brain circuits provides valuable feedback in closed-loop experiments. We develop a graphics processing unit (GPU)-powered population-decoding system for ultrafast reconstruction of spatial positions from rodents’ unsorted spatiotemporal spiking patterns, during run behavior or sleep. In comparison with an optimized quad-core central processing unit (CPU) implementation, our approach achieves an ∼20- to 50-fold increase in speed in eight tested rat hippocampal, cortical, and thalamic ensemble recordings, with real-time decoding speed (approximately fraction of a millisecond per spike) and scalability up to thousands of channels. By accommodating parallel shuffling in real time (computation time <15 ms), our approach enables assessment of the statistical significance of online-decoded “memory replay” candidates during quiet wakefulness or sleep. This open-source software toolkit supports the decoding of spatial correlates or content-triggered experimental manipulation in closed-loop neuroscience experiments. The hippocampal and neocortical neuronal ensembles encode rich spatial information in navigation. Hu et al. develop computational techniques that accommodate real-time decoding and assessment of large-scale unsorted neural ensemble place codes during running behavior and sleep. Keywords: neural decoding; population decoding; place codes; GPU; memory replay; spatiotemporal patterns, National Science Foundation (U.S.) (Grant IIS-130764), National Institutes of Health (U.S.) (Grant R01-MH118928), National Institutes of Health (U.S.) (Grant R01-MH092638), National Institutes of Health (U.S.) (Grant TR01-GM104948), National Institutes of Health (U.S.) (Grant R21-EY028381), National Science Foundation (U.S.) (Grant CCF-1231216)

Published
2019

16. Real-time classification of experience-related ensemble spiking patterns for closed-loop applications

Author

Ciliberti, Davide, Michon, Frédéric, and Kloosterman, Fabian

Subjects
Life Sciences & Biomedicine - Other Topics, 0301 basic medicine, Decodes, REVERSE REPLAY, Computer science, Action Potentials, SHARP-WAVE-RIPPLES, Hippocampus, memory, 0302 clinical medicine, VENTRAL STRIATUM, Biology (General), Neurons, education.field_of_study, Millisecond, biology, General Neuroscience, Hippocampal replay, Cognition, General Medicine, neural decoding, Tools and Resources, Brain-Computer Interfaces, Medicine, AWAKE REPLAY, Life Sciences & Biomedicine, Algorithms, OFFLINE REACTIVATION, Neural decoding, QH301-705.5, Science, Population, General Biochemistry, Genetics and Molecular Biology, RAT HIPPOCAMPUS, 03 medical and health sciences, Biological neural network, Animals, Sensitivity (control systems), education, Biology, SPATIAL MEMORY, Science & Technology, General Immunology and Microbiology, business.industry, Pattern recognition, biology.organism_classification, SLEEP, HIPPOCAMPAL PLACE CELLS, Rats, 030104 developmental biology, hippocampal replay, Rat, Artificial intelligence, Nerve Net, business, 030217 neurology & neurosurgery, NEURAL ACTIVITY, Neuroscience
Abstract

Communication in neural circuits across the cortex is thought to be mediated by spontaneous temporally organized patterns of population activity lasting ~50 -200 ms. Closed-loop manipulations have the unique power to reveal direct and causal links between such patterns and their contribution to cognition. Current brain-computer interfaces, however, are not designed to interpret multi-neuronal spiking patterns at the millisecond timescale. To bridge this gap, we developed a system for classifying ensemble patterns in a closed-loop setting and demonstrated its application in the online identification of hippocampal neuronal replay sequences in the rat. Our system decodes multi-neuronal patterns at 10 ms resolution, identifies within 50 ms experience-related patterns with over 70% sensitivity and specificity, and classifies their content with 95% accuracy. This technology scales to high-count electrode arrays and will help to shed new light on the contribution of internally generated neural activity to coordinated neural assembly interactions and cognition. ispartof: ELIFE vol:7 ispartof: location:England status: published

Published
2018

25. Can mirror self-recognition in mice unpack the neural underpinnings of self-awareness?

Author

Keysers C and Michon F

Subjects
Animals, Mice, Visual Perception, Grooming, Behavior, Animal physiology, Recognition, Psychology physiology
Abstract

In this issue of Neuron, Yokose et al. show that mice groom a mark on their forehead when exposed to a mirror. Comparing this behavior with hominids' helps carve self-awareness into its component parts and explore the neural mechanisms of its shared components., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Published
2024
Full Text
View/download PDF

26. AAV2/9-mediated gene transfer into murine lacrimal gland leads to a long-term targeted tear film modification.

Author

Gautier B, Meneux L, Feret N, Audrain C, Hudecek L, Kuony A, Bourdon A, Le Guiner C, Blouin V, Delettre C, and Michon F

Abstract

Corneal blindness is the fourth leading cause of blindness worldwide. Since corneal epithelium is constantly renewed, non-integrative gene transfer cannot be used to treat corneal diseases. In many of these diseases, the tear film is defective. Tears are a complex biological fluid secreted by the lacrimal apparatus. Their composition is modulated according to the context. After a corneal wound, the lacrimal gland secretes reflex tears, which contain growth factors supporting the wound healing process. In various pathological contexts, the tear composition can support neither corneal homeostasis nor wound healing. Here, we propose to use the lacrimal gland as bioreactor to produce and secrete specific factors supporting corneal physiology. In this study, we use an AAV2/9-mediated gene transfer to supplement the tear film. First, we demonstrate that a single injection of AAV2/9 is sufficient to transduce all epithelial cell types of the lacrimal gland efficiently and widely. Second, we detect no adverse effect after AAV2/9-mediated nerve growth factor expression in the lacrimal gland. Only a transitory increase in tear flow is measured. Remarkably, AAV2/9 induces an important and long-lasting secretion of this growth factor in the tear film. Altogether, our findings provide a new clinically applicable approach to tackle corneal blindness., Competing Interests: The authors declare no competing interests., (© 2022 The Author(s).)

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results