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Topic: PFC

Seminar
3 seminars

In Computational Neuroscience and Neuroscience

Seminar · Neuroscience

Frontal circuit specialisations for information search and decision making

Laurence Hunt · Oxford University

Fri, Jan 28, 2022 · 06:00 UTC

During primate evolution, prefrontal cortex (PFC) expanded substantially relative to other cortical areas. The expansion of PFC circuits likely supported the increased cognitive abilities of humans and anthropoids to sample information about their environment, evaluate that information, plan, and decide between different courses of action. What quantities do these circuits compute as information is being sampled towards and a decision is being made? And how can they be related to anatomical specialisations within and across PFC? To address this, we recorded PFC activity during value-based deci

Seminar · Cognition

Frontal circuit specialisations for decision making

Laurence Hunt · University of Oxford

Thu, May 27, 2021 · 01:00 UTC

During primate evolution, prefrontal cortex (PFC) expanded substantially relative to other cortical areas. The expansion of PFC circuits likely supported the increased cognitive abilities of humans and anthropoids to plan, evaluate, and decide between different courses of action. But what do these circuits compute as a decision is being made, and how can they be related to anatomical specialisations within and across PFC? To address this, we recorded PFC activity during value-based decision making using single unit recording in non-human primates and magnetoencephalography in humans. At a macr

Seminar · Computational Neuroscience

Dimensions of variability in circuit models of cortex

Brent Doiron · The University of Chicago

Mon, Nov 16, 2020 · 17:00 UTC

Cortical circuits receive multiple inputs from upstream populations with non-overlapping stimulus tuning preferences. Both the feedforward and recurrent architectures of the receiving cortical layer will reflect this diverse input tuning. We study how population-wide neuronal variability propagates through a hierarchical cortical network receiving multiple, independent, tuned inputs. We present new analysis of in vivo neural data from the primate visual system showing that the number of latent variables (dimension) needed to describe population shared variability is smaller in V4 populations c