Journal
NEURON
Volume 97, Issue 3, Pages 716-+Publisher
CELL PRESS
DOI: 10.1016/j.neuron.2018.01.009
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Funding
- MIT Picower Institute Innovation Fund
- National Institute of Mental Health (NIMH) [NIMH R01MH065252, NIMH R37MH087027]
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Categories can be grouped by shared sensory attributes (i.e., cats) or a more abstract rule (i.e., animals). We explored the neural basis of abstraction by recording from multi-electrode arrays in prefrontal cortex (PFC) while monkeys performed a dot-pattern categorization task. Category abstraction was varied by the degree of exemplar distortion from the prototype pattern. Different dynamics in different PFC regions processed different levels of category abstraction. Bottom-up dynamics (stimulus-locked gamma power and spiking) in the ventral PFC processed more low-level abstractions, whereas top-down dynamics (beta power and beta spike-LFP coherence) in the dorsal PFC processed more high-level abstractions. Our results suggest a two-stage, rhythm-based model for abstracting categories.
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