Neural activity in the primate prefrontal cortex during associative learning (original) (raw)
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From Rule to Response: Neuronal Processes in the Premotor and Prefrontal Cortex
Journal of Neurophysiology, 2003
The ability to use abstract rules or principles allows behavior to generalize from specific circumstances (e.g., rules learned in a specific restaurant can subsequently be applied to any dining experience). Neurons in the prefrontal cortex (PFC) encode such rules. However, to guide behavior, rules must be linked to motor responses. We investigated the neuronal mechanisms underlying this process by recording from the PFC and the premotor cortex (PMC) of monkeys trained to use two abstract rules: “same” or “different.” The monkeys had to either hold or release a lever, depending on whether two successively presented pictures were the same or different, and depending on which rule was in effect. The abstract rules were represented in both regions, although they were more prevalent and were encoded earlier and more strongly in the PMC. There was a perceptual bias in the PFC, relative to the PMC, with more PFC neurons encoding the presented pictures. In contrast, neurons encoding the beh...
Response selection versus feedback analysis in conditional visuo-motor learning
NeuroImage, 2012
Conditional associative sensori-motor learning (i.e. the acquisition of specific arbitrary sensori-motor mappings) involves several processes that depend upon the integrity of the fronto-striatal system. The specific role of the different components of the fronto-striatal system in this type of learning is still unclear and was examined in the present functional Magnetic Resonance Imaging (fMRI) study in humans. The subjects had to learn by trial and error arbitrary associations between visual stimuli and motor responses in an experimental paradigm designed to dissociate between the neuronal substrates specifically involved in the selection of the appropriate response and in the analysis of the feedback obtained during the learning and post-learning periods. First, the results demonstrate that the dorsal premotor (PMd) cortex is the critical structure for the acquisition and execution of arbitrary mappings of visual stimuli to motor responses. Second, they reveal an important shift in activation from the cognitive fronto-striatal network (involving the caudate nucleus, the dorsolateral prefrontal cortex, and the PMd) to the motor fronto-striatal network (involving the putamen and the PMd) as we move from initial learning of sensori-motor relations to the post-learning selection of the responses. Finally, they show that feedback processing, but not response selection, increased activity in the anterior cingulate and orbitofrontal cortical regions, demonstrating the selective involvement of these limbic frontal regions in the processing of the consequences of a given action. Altogether our data suggest that, in conditional visuo-motor learning, the associations are critically regulated by the dorsal premotor cortex and the striatum, with additional brain areas contributing to specific aspects of the learning and performance of such associations.
Rapid Association Learning in the Primate Prefrontal Cortex in the Absence of Behavioral Reversals
Journal of Cognitive Neuroscience, 2011
The PFC plays a central role in our ability to learn arbitrary rules, such as “green means go.” Previous experiments from our laboratory have used conditional association learning to show that slow, gradual changes in PFC neural activity mirror monkeys' slow acquisition of associations. These previous experiments required monkeys to repeatedly reverse the cue–saccade associations, an ability known to be PFC-dependent. We aimed to test whether the relationship between PFC neural activity and behavior was due to the reversal requirement, so monkeys were trained to learn several new conditional cue–saccade associations without reversing them. Learning-related changes in PFC activity now appeared earlier and more suddenly in correspondence with similar changes in behavioral improvement. This suggests that learning of conditional associations is linked to PFC activity regardless of whether reversals are required. However, when previous learning does not need to be suppressed, PFC acq...
Specialisation within the prefrontal cortex: the ventral prefrontal cortex and associative learning
Experimental Brain Research, 2000
This paper provides evidence that the ventral prefrontal cortex plays a role in the learning of tasks in which subjects must learn to associate visual cues and responses. Imaging with both positron-emission tomography (PET) and functional magnetic-resonance imaging (fMRI) reveals learning-related increases in activity when normal subjects learn visual associative tasks. Evidence is also presented from an event-related fMRI study that activity in this area is time-locked both to the presentation of the visual stimuli and also to the time of the motor response. Finally, it is shown in a study of monkeys that removal of the ventral prefrontal area 12 (including 45 A) impairs the ability of monkeys to relearn a visual associative task (visual matching), even though there were no demands on working memory. It is, therefore, proposed that the ventral prefrontal cortex constitutes part of the circuitry via which associations are formed between visual cues and the actions or choices that they specify. On the basis of the existing anatomical and electrophysiological data, it is argued that the prefrontal cortex is the only area that can represent cues, responses and outcomes.
Neurodynamics of the prefrontal cortex during conditional visuomotor associations
2008
Abstract The prefrontal cortex is believed to be important for cognitive control, working memory, and learning. It is known to play an important role in the learning and execution of conditional visuomotor associations, a cognitive task in which stimuli have to be associated with actions by trial-and-error learning. In our modeling study, we sought to integrate several hypotheses on the function of the prefrontal cortex using a computational model, and compare the results to experimental data.
Cerebral changes during performance of overlearned arbitrary visuomotor associations
The Journal of …, 2006
The posterior parietal cortex (PPC) is known to be involved in the control of automatic movements that are spatially guided, such as grasping an apple. We considered whether the PPC might also contribute to the performance of visuomotor associations in which stimuli and responses are linked arbitrarily, such as producing a certain sound for a typographical character when reading aloud or pressing pedals according to the color of a traffic light when driving a motor vehicle. The PPC does not appear to be necessary for learning new arbitrary visuomotor associations, but with extensive training, the PPC can encode nonspatial sensory features of task-relevant cues. Accordingly, we have tested whether the contributions of the PPC might become apparent once arbitrary sensorimotor mappings are overlearned.
Cerebral Cortex, 2007
Associative theory postulates that learning the consequences of our actions in a given context is represented in the brain as stimulus-response--outcome associations that evolve according to predictionerror signals (the discrepancy between the observed and predicted outcome). We tested the theory on brain functional magnetic resonance imaging data acquired from human participants learning arbitrary visuomotor associations. We developed a novel task that systematically manipulated learning and induced highly reproducible performances. This granted the validation of the model-based results and an in-depth analysis of the brain signals in representative single trials. Consistent with the Rescorla--Wagner model, prediction-error signals are computed in the human brain and selectively engage the ventral striatum. In addition, we found evidence of computations not formally predicted by the Rescorla--Wagner model. The dorsal fronto-parietal network, the dorsal striatum, and the ventrolateral prefrontal cortex are activated both on the incorrect and first correct trials and may reflect the processing of relevant visuomotor mappings during the early phases of learning. The left dorsolateral prefrontal cortex is selectively activated on the first correct outcome. The results provide quantitative evidence of the neural computations mediating arbitrary visuomotor learning and suggest new directions for future computational models.