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SummaryModels of the cerebral cortex propose a canonical columnar architecture preserved across the brain. Evidence for this model primarily stems from observations in primary sensory areas, such as the visual cortex, where neurons in an anatomical column respond preferentially to the same stimulus features. Similar columnar feature selectivity has been described for visual area V2, visual area V3 [9, 10], the middle temporal visual area (area V5), and inferotemporal cortex. The fourth visual area (V4) features color selective neurons, organized in clusters across its surface. However, whether these color-sensitive neurons are organized in a columnar fashion is debated and uncertain due to technical limitations. Here, we utilize laminar multielectrode recordings along V4 columns to resolve rival hypotheses. Linear electrode arrays were introduced orthogonally into area V4, spanning all cortical layers. Monkeys viewed color stimuli presented to the visual receptive field of the column of neurons. We found that preference for a specific color was conserved along depth but varied across columns. Interestingly, while color preference (e.g. red or green) was consistent along depth, color selectivity was significantly greater in upper layers relative to the input layer and was weakest in the lower layers. These findings demonstrate that area V4 is organized in functional columns like other visual areas.

The objective of the present study was to compare two components of executive functioning, response monitoring and inhibition, in bipolar disorder (BP) and schizophrenia (SZ). The saccadic countermanding task is a translational paradigm optimized for detecting subtle abnormalities in response monitoring and response inhibition. We have previously reported countermanding performance abnormalities in SZ, but the degree to which these impairments are shared by other psychotic disorders is unknown. 18 BP, 17 SZ, and 16 demographically matched healthy controls (HC) participated in a saccadic countermanding task. Performance on the countermanding task is approximated as a race between movement generation and inhibition processes; this model provides an estimate of the time needed to cancel a planned movement. Response monitoring was assessed by the reaction time (RT) adjustments based on trial history. Like SZ patients, BP patients needed more time to cancel a planned movement. The two patient groups had equivalent inhibition efficiency. On trial history-based RT adjustments, however, we found a trend towards exaggerated trial history-based slowing in SZ compared to BP. Findings have implications for understanding the neurobiology of cognitive control, for defining the etiological overlap between schizophrenia and bipolar disorder, and for developing pharmacological treatments of cognitive impairments.

SummaryIntelligent agents balance speed of responding with accuracy of deciding. Stochastic accumulator models commonly explain this speed-accuracy tradeoff by strategic adjustment of response threshold. Several laboratories identify specific neurons in prefrontal and parietal cortex with this accumulation process, yet no neurophysiological correlates of speed-accuracy tradeoff have been described. We trained macaque monkeys to trade speed for accuracy on cue during visual search and recorded the activity of neurons in the frontal eye field. Unpredicted by any model, we discovered that speed-accuracy tradeoff is accomplished through several distinct adjustments. Visually responsive neurons modulated baseline firing rate, sensory gain, and the duration of perceptual processing. Movement neurons triggered responses with activity modulated in a direction opposite of model predictions. Thus, current stochastic accumulator models provide an incomplete description of the neural processes accomplishing speed-accuracy tradeoffs. The diversity of neural mechanisms was reconciled with the accumulator framework through an integrated accumulator model constrained by requirements of the motor system.

Background Cognitive control deficits are pervasive in individuals with schizophrenia (SZ) and are reliable predictors of functional outcome, but the specificity of these deficits and their underlying neural mechanisms have not been fully elucidated. The objective of the present study was to determine the nature of response inhibition and response monitoring deficits in SZ and their relationship to symptoms and social and occupational functioning with a behavioral paradigm that provides a translational approach to investigating cognitive control. Methods Seventeen patients with SZ and 16 demographically matched healthy control subjects participated in a saccadic countermanding task. Performance on this task is approximated as a race between movement generation and inhibition processes; this race model provides an estimate of the time needed to cancel a planned movement. Response monitoring can be assessed by reaction time adjustments on the basis of trial history. Results Saccadic reaction time was normal, but patients required more time to inhibit a planned saccade. The latency of the inhibitory process was associated with the severity of negative symptoms and poorer occupational functioning. Both groups slowed down significantly after correctly cancelled and erroneously noncancelled stop signal trials, but patients slowed down more than control subjects after correctly inhibited saccades. Conclusions These results suggest that SZ is associated with a difficulty in inhibiting planned movements and an inflated response adjustment effect after inhibiting a saccade. Furthermore, behavioral results are consistent with potential abnormalities in frontal and supplementary eye fields in patients with SZ.

We investigated the neural basis of visual and saccade selection in the frontal eye field of macaque monkeys using a singleton search task with prosaccade or antisaccade responses. Two types of neurons were distinguished. The first initially selected the singleton even in antisaccade trials, although most subsequently selected the endpoint of the saccade. The time the singleton was located was not affected by stimulus-response compatibility and did not vary with reaction time across trials. The second type of neuron selected only the endpoint of the saccade. The time of endpoint selection by these neurons accounted for most of the effect of stimulus-response compatibility on reaction time. These results indicate that visual selection and saccade selection are different processes.

Success requires deciding among alternatives, controlling the initiation of movements, and judging the consequences of actions. When alternatives are difficult to distinguish, habitual responses must be overcome, or consequences are uncertain, deliberation is necessary and a supervisory system exerts control over the processes that produce sensory-guided movements. We have investigated these processes by recording neural activity in the frontal lobe of macaque monkeys performing a countermanding task. Distinct neurons in the frontal eye field respond to visual stimuli or control the production of the movements. In the supplementary eye field and anterior cingulate cortex, neurons appear not to control directly movement initiation but instead signal the production of errors, the anticipation and delivery of reinforcement, and the presence of processing conflict. These signals form the core of current models of supervisory control of sensorimotor processes.

A central issue in mental chronometry is whether information is transferred between processing stages such as stimulus evaluation and response preparation in a continuous or discrete manner. We tested whether partial information about a stimulus influences the response stage by recording the activity of movement-related neurons in the frontal eye field of macaque monkeys performing a conjunction visual search and a feature visual search with a singleton distractor. While movement-related neurons were activated maximally when the target of the search array was in their movement field, they were also activated for distractors even though a saccade was successfully made to the target outside the movement field. Most importantly, the level of activation depended on the properties of the distractor, with greater activation for distractors that shared a target feature or were the target during the previous session during conjunction search, and for the singleton distractor during feature search. These results support the model of continuous information processing and argue against a strictly discrete model.

Recent research has clarified and revealed characteristics of perceptual and motor decision processes in the brain. A democracy of sensory neurons discriminate the properties of a stimulus, while competition contrasts the attributes of stimuli across the visual field to locate conspicuous stimuli. Salience and significance are weighted to select an object on which to focus attention and action. Experimentally combining neural and mental chronometry has determined the contribution of perceptual and motor processes to the duration and variability of behavioral reaction time. Whereas perceptual processing occupies a relatively constant amount of time for a given stimulus condition, the processes of mapping particular stimuli onto the appropriate behavior and preparing the motor response provide flexibility but introduce delay and variability in reaction time.

It is known that the prestriate cortical regions that project to area LIP in parietal cortex and to areas TEO and TE in temporal cortex are mostly separated. Two separate streams of information transfer from occipital cortex can thus be distinguished. We wished to determine whether the parietal and temporal streams remain segregated in their projections to frontal cortex. Paired injections of retrograde fluorescent tracers were placed in parietal and temporal cortex, or in the lateral and medial parts of the frontal eye field (FEF). The cortical regions containing retrogradely labeled cells were reconstructed in two-dimensional maps. The results show that temporal cortex mainly projects to lateral FEF (area 45). Parietal cortex sends projections to medial FEF (area 8a) and to lateral FEF, as well as to area 46. Thus, the parietal and temporal streams converge in lateral FEF. Most of the occipital regions projecting to medial FEF are the same as those projecting to parietal cortex, whereas lateral FEF receives afferents from the same occipital regions as those sending projections to temporal cortex. Thus, one can distinguish two interconnected networks. One is associated with the inferotemporal cortex and includes areas of the ventral bank and fundus of the superior temporal sulcus (STS), lateral FEF and ventral prestriate cortex. This network emphasizes central vision, small saccades and form recognition. The other network is linked to cortex of the intraparietal sulcus. It consists of areas of the upper bank and fundus of STS, medial FEF and dorsal prestriate cortex. These areas encode peripheral visual field and are active during large saccades.

The ability to voluntarily shift the focus of visual attention away from the focus of gaze was investigated in a novel paradigm designed to elaborate the stages of processing underlying this ability. A basic experimental method used to investigate guided visual attention involves measuring response times to targets presented at positions of which the observer has been informed by an orienting cue. Binocular rivalry was utilized to dissociate presentation of the orienting cue from visual awareness of that cue. The findings indicated that when an informative cue was presented to an eye during the dominance phase, thus reaching visual awareness, manual response times were significantly affected by cue validity. In contrast, when the same cue was presented to an eye during suppression, and thus was not seen by observers, response times were not influenced by cue validity. We conclude that to guide attention, neural signals registering informative visual cues must be processed at stages lying beyond the site of rivalry suppression. Implications for investigating the neural basis of visual attention are discussed.

New insight into how the brain makes a decision has come from a study of the effects of the decision-making process on an eye movement evoked by electrical stimulation of the frontal cortex. The accumulation of sensory evidence was found to cause a gradual commitment toward a choice.

Because of known abnormalities in both the visual and auditory pathways of tyrosinase-negative albino cats, we mapped the primary somatosensory cortex (SI) in one such cat electrophysiologically. We detected absolutely no sign of abnormality in terms of somatotopy, and conclude that if anomalies do exist in the albino somatosensory system, they are either very subtle or lie outside SI.

We analyzed the dendritic field morphology of 297 ganglion cells from peripheral regions of monkey retina. Most of the dendritic fields were elongated, and there was a significant tendency for the dendritic fields to be oriented radially, i.e., like the spokes of a wheel with the fovea at the hub. An overrepresentation of radial orientations in the peripheral retina of primates might explain why humans are best able to detect stimuli which are oriented radially using peripheral vision.