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Topic: Network Models

Seminar
2 seminars

In Computational Neuroscience and Electrophysiology

Seminar · Computational Neuroscience

Cellular mechanisms behind stimulus evoked quenching of variability

Brent Doiron · University of Chicago

Wed, Jan 27, 2021 · 05:00 UTC

A wealth of experimental studies show that the trial-to-trial variability of neuronal activity is quenched during stimulus evoked responses. This fact has helped ground a popular view that the variability of spiking activity can be decomposed into two components. The first is due to irregular spike timing conditioned on the firing rate of a neuron (i.e. a Poisson process), and the second is the trial-to-trial variability of the firing rate itself. Quenching of the variability of the overall response is assumed to be a reflection of a suppression of firing rate variability. Network models have

Seminar · Neuroscience

Motor Cortex in Theory and Practice

Mark Churchland · Columbia University, New York

Mon, Nov 30, 2020 · 17:00 UTC

A central question in motor physiology has been whether motor cortex activity resembles muscle activity, and if not, why not? Over fifty years, extensive observations have failed to provide a concise answer, and the topic remains much debated. To provide a different perspective, we employed a novel behavioral paradigm that affords extensive comparison between time-evolving neural and muscle activity. Single motor-cortex neurons displayed many muscle-like properties, but the structure of population activity was not muscle-like. Unlike muscle activity, neural activity was structured to avoid ’tr