Categories are a foundation of cognition. Imagine if we could not abstract the essence of experiences and had to learn anew about every unique object and situation. We would probably have dysfunctions like those seen in neuropsychiatric disorders like autism and schizophrenia, which are marked by an impaired ability to generalize and extract meaning from experience. While a great deal is known about the cortical organization of the processing of bottom-up sensory information, virtually nothing is known about the respective roles of different cortical areas in top-down processing, particularly categorization. This is because few neurophysiological investigations have directly compared neural correlates of categories across brain areas and, importantly, no neurophysiological study has manipulated the attributes that determine the level of categorization. We will do so while directly comparing neural activity in the prefrontal cortex (PFC) and lateral intraparietal area (LIP), two cortical areas that human and monkey studies indicate are engaged during visual categorization. We will test the hypothesis that the PFC plays the central role in extracting learned categories or that either the PFC or LIP will play the leading role in categorization depending on the level of category demand. We will record simultaneously two brain regions known to have neural correlates of categories the PFC and LIP in a task known to activate both areas in humans (dot pattern categorization). Monkeys will classify category exemplars formed by distorting prototypes of arbitrary dot patterns. Because dot patterns can be parametrically varied, we can manipulate fundamental category properties (abstractness, complexity, and number of alternative category decisions). Because virtually nothing is known about the how these manipulations affect the neural correlates of categories, any pattern of results will be informative and provide insight into the fundamental mechanisms by which the brain adds meaning to the world.

Public Health Relevance

This project addresses the neural basis of categorization, a fundamental cognitive ability that is disrupted in neuropsychiatric disorders like autism. Virtuall nothing is known on the neuron level about the cortical organization and respective contributions of different cortical areas because no neurophysiological study has ever manipulated category properties (abstractness, complexity, uncertainty) let alone compared them across brain areas. By doing so, we will answer fundamental and critical questions about the neural mechanisms the brain uses to make sense of the world.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
4R01MH065252-15
Application #
9098835
Study Section
Mechanisms of Sensory, Perceptual, and Cognitive Processes Study Section (SPC)
Program Officer
Rossi, Andrew
Project Start
2002-04-01
Project End
2017-03-31
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
15
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
Stanley, David A; Roy, Jefferson E; Aoi, Mikio C et al. (2018) Low-Beta Oscillations Turn Up the Gain During Category Judgments. Cereb Cortex 28:116-130
Villagrasa, Francesc; Baladron, Javier; Vitay, Julien et al. (2018) On the Role of Cortex-Basal Ganglia Interactions for Category Learning: A Neurocomputational Approach. J Neurosci 38:9551-9562
Wutz, Andreas; Loonis, Roman; Roy, Jefferson E et al. (2018) Different Levels of Category Abstraction by Different Dynamics in Different Prefrontal Areas. Neuron 97:716-726.e8
Loonis, Roman F; Brincat, Scott L; Antzoulatos, Evan G et al. (2017) A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning. Neuron 96:521-534.e7
Antzoulatos, Evan G; Miller, Earl K (2016) Synchronous beta rhythms of frontoparietal networks support only behaviorally relevant representations. Elife 5:
McKee, Jillian L; Riesenhuber, Maximilian; Miller, Earl K et al. (2014) Task dependence of visual and category representations in prefrontal and inferior temporal cortices. J Neurosci 34:16065-75
Antzoulatos, Evan G; Miller, Earl K (2014) Increases in functional connectivity between prefrontal cortex and striatum during category learning. Neuron 83:216-25
Roy, Jefferson E; Buschman, Timothy J; Miller, Earl K (2014) PFC neurons reflect categorical decisions about ambiguous stimuli. J Cogn Neurosci 26:1283-91
Cromer, Jason A; Roy, Jefferson E; Buschman, Timothy J et al. (2011) Comparison of primate prefrontal and premotor cortex neuronal activity during visual categorization. J Cogn Neurosci 23:3355-65
Antzoulatos, Evan G; Miller, Earl K (2011) Differences between neural activity in prefrontal cortex and striatum during learning of novel abstract categories. Neuron 71:243-9

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