Residual dynamics resolves recurrent contributions to neural computation

Relating neural activity to behavior requires an understanding of how neural computations arise from the coordinated dynamics of distributed, recurrently connected neural populations. However, inferring the nature of recurrent dynamics from partial recordings of a neural circuit presents significant...

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Bibliographic Details
Published in:	bioRxiv
Main Authors:	Galgali, Aniruddh R, Sahani, Maneesh, Mante, Valerio
Format:	Paper
Language:	English
Published:	Cold Spring Harbor Cold Spring Harbor Laboratory Press 16.09.2022 Cold Spring Harbor Laboratory
Edition:	1.2
Subjects:	Cortex (frontal) Decision making Mental task performance Neuroscience Saccadic eye movements
ISSN:	2692-8205, 2692-8205
Online Access:	Get full text
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Summary:	Relating neural activity to behavior requires an understanding of how neural computations arise from the coordinated dynamics of distributed, recurrently connected neural populations. However, inferring the nature of recurrent dynamics from partial recordings of a neural circuit presents significant challenges. Here, we show that some of these challenges can be overcome by a fine-grained analysis of the dynamics of neural residuals, i.e. trial-by-trial variability around the mean neural population trajectory for a given task condition. Residual dynamics in macaque pre-frontal cortex (PFC) in a saccade-based perceptual decision-making task reveals recurrent dynamics that is time-dependent, but consistently stable, and suggests that pronounced rotational structure in PFC trajectories during saccades are driven by inputs from upstream areas. The properties of residual dynamics restrict the possible contributions of PFC to decision-making and saccade generation, and suggest a path towards fully characterizing distributed neural computations with large-scale neural recordings and targeted causal perturbations. Competing Interest Statement The authors have declared no competing interest. Footnotes * Main and supplemental text updated Main figures updated
Bibliography:	SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 Competing Interest Statement: The authors have declared no competing interest.
ISSN:	2692-8205 2692-8205
DOI:	10.1101/2021.07.19.452951