logo
ResearchBunny Logo
Distinct beta frequencies reflect categorical decisions

Psychology

Distinct beta frequencies reflect categorical decisions

E. Rassi, Y. Zhang, et al.

Discover the intriguing insights from the study conducted by Elie Rassi, Yi Zhang, Germán Mendoza, Juan Carlos Méndez, Hugo Merchant, and Saskia Haegens, which delves into how beta oscillations contribute to context-dependent categorization and the formation of neural ensembles in the brain.... show more
Abstract
Based on prior findings of content-specific beta synchronization in working memory and decision making, we hypothesized that beta oscillations support the (re-)activation of cortical representations by mediating neural ensemble formation. We found that beta activity in monkey dorsolateral prefrontal cortex (dIPFC) and pre-supplementary motor area (preSMA) reflects the content of a stimulus in relation to the task context, regardless of its objective properties. In duration- and distance-categorization tasks, we changed the boundary between categories from one block of trials to the next. We found that two distinct beta-band frequencies were consistently associated with the two relative categories, with activity in these bands predicting the animals’ responses. We characterized beta at these frequencies as transient bursts, and showed that dIPFC and preSMA are connected via these distinct frequency channels. These results support the role of beta in forming neural ensembles, and further show that such ensembles synchronize at different beta frequencies.
Publisher
Nature Communications
Published On
May 22, 2023
Authors
Elie Rassi, Yi Zhang, Germán Mendoza, Juan Carlos Méndez, Hugo Merchant, Saskia Haegens
Tags
beta oscillations
context-dependent categorization
neural ensembles
cortical representations
beta-band frequencies
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny