Individual variability of neural computations underlying flexible decisions

M Pagan, VD Tang, MC Aoi, JW Pillow, V Mante… - Nature, 2024 - nature.com
The ability to flexibly switch our response to external stimuli according to contextual
information is critical for successful interactions with a complex world. Context-dependent …

[HTML][HTML] Flow-field inference from neural data using deep recurrent networks

TD Kim, TZ Luo, T Can, K Krishnamurthy, JW Pillow… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Computations involved in processes such as decision-making, working memory, and motor
control are thought to emerge from the dynamics governing the collective activity of neurons …

A multi-region recurrent circuit for evidence accumulation in rats

D Gupta, CD Kopec, AG Bondy, TZ Luo, VA Elliott… - …, 2024 - pmc.ncbi.nlm.nih.gov
Decision-making based on noisy evidence requires accumulating evidence and
categorizing it to form a choice. Here we evaluate a proposed feedforward and modular …

Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning

SJC Venditto, KJ Miller, CD Brody, ND Daw - bioRxiv, 2024 - biorxiv.org
Different brain systems have been hypothesized to subserve multiple “experts” that compete
to generate behavior. In reinforcement learning, two general processes, one model-free …

Neural circuit models for evidence accumulation through choice-selective sequences

LS Brown, JR Cho, SS Bolkan, EH Nieh, M Schottdorf… - bioRxiv, 2023 - biorxiv.org
Decision making involves accumulating evidence for or against available options.
Traditional circuit models of evidence accumulation generate firing rates that ramp with …

Coordinated cross-brain activity during accumulation of sensory evidence and decision commitment

AG Bondy, JA Charlton, TZ Luo, CD Kopec… - bioRxiv, 2024 - biorxiv.org
Cognition is produced by the continuous interactions between many regions across the
brain, but has typically been studied one brain region at a time. How signals in different …

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics

W Qian, JA Zavatone-Veth, BS Ruben, C Pehlevan - bioRxiv, 2024 - biorxiv.org
One of the central goals of neuroscience is to gain a mechanistic understanding of how the
dynamics of neural circuits give rise to their observed function. A popular approach towards …

Bayesian inference by visuomotor neurons in prefrontal cortex

T Langlois, JA Charlton, RLT Goris - bioRxiv, 2024 - biorxiv.org
Perceptual judgements of the environment emerge from the concerted activity of neural
populations in decision-making areas downstream of sensory cortex [,,]. When the sensory …

TOWARDS THE ESTIMATION OF CAUSAL NETWORKS BY THE INFORMATION IMBALANCE APPROACH

M Allione - 2024 - webthesis.biblio.polito.it
Inferring the presence of causal links from observational data is a challenging task which
typically goes under the name of causal discovery. After reviewing the basic concepts of this …