Work

Bayesian Surprise Shapes Neural Responses in Somatosensory Cortical Circuit

Year: 2022

Type: dataset

Abstract: Numerous psychophysical studies demonstrate that Bayesian inference governs sensory decision-making, however the specific neural circuitry underlying this probabilistic mechanism remains unknown. We record extracellular neural activity along the somatosensory pathway of mice while delivering sensory stimulation paradigms designed to isolate the response to the surprise generated by Bayesian inference. Our results demonstrate that laminar cortical circuits in early sensory areas encode Bayesian surprise. Systematic sensitivity to surprise is not identified in the somatosensory thalamus, rather emerging in the primary (S1) and secondary (S2) somatosensory cortices. Multiunit spiking activity and evoked potentials in layer 6 of these regions exhibit the highest sensitivity to surprise. Gamma power in S1 layer 2/3 exhibits an NMDAR-dependent scaling with surprise, as does alpha power in layers 2/3 and 6 of S2. These results demonstrate a precise spatiotemporal neural representation of Bayesian surprise and suggest that Bayesian inference is a fundamental component of cortical proc

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7351494

Authors: English, Gwendolyn, Ghasemi Nejad, Newsha, Sommerfelt, Marcel, Yanik, Mehmet Fatih, von der Behrens, Wolfger

Institutions: University of Zurich, ETH Zurich, Institute of Neuroinformatics

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Award: Deviant Signals in the Thalamocortical Loop: Circuitry and Perception

OpenAlex ID: W4394026143

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