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Neuron. 2018 Feb 7;97(3):716-726.e8. doi: 10.1016/j.neuron.2018.01.009. Epub 2018 Jan 27.

Different Levels of Category Abstraction by Different Dynamics in Different Prefrontal Areas.

Author information

1
The Picower Institute for Learning & Memory and Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA.
2
The Picower Institute for Learning & Memory and Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA. Electronic address: ekmiller@mit.edu.

Abstract

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.

KEYWORDS:

abstraction; beta oscillations; bottom-up; category; dorsolateral prefrontal cortex; gamma oscillations; top-down; ventrolateral prefrontal cortex

PMID:
29395915
PMCID:
PMC6091891
DOI:
10.1016/j.neuron.2018.01.009
[Indexed for MEDLINE]
Free PMC Article

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