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.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Research Project (R01)
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Special Emphasis Panel (SPC)
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Rossi, Andrew
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Massachusetts Institute of Technology
Schools of Arts and Sciences
United States
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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
Roy, Jefferson E; Buschman, Timothy J; Miller, Earl K (2014) PFC neurons reflect categorical decisions about ambiguous stimuli. J Cogn Neurosci 26:1283-91
Antzoulatos, Evan G; Miller, Earl K (2014) Increases in functional connectivity between prefrontal cortex and striatum during category learning. Neuron 83:216-25
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
Seger, Carol A; Miller, Earl K (2010) Category learning in the brain. Annu Rev Neurosci 33:203-19
Roy, Jefferson E; Riesenhuber, Maximilian; Poggio, Tomaso et al. (2010) Prefrontal cortex activity during flexible categorization. J Neurosci 30:8519-28
Cromer, Jason A; Roy, Jefferson E; Miller, Earl K (2010) Representation of multiple, independent categories in the primate prefrontal cortex. Neuron 66:796-807

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