Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
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Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 1U19NS107613-01
Understanding V1 circuit dynamics and computations
National Institutes of Health
Grant: 5R01MH115557-04
CRCNS: Decision Making in Changing Environments
National Institutes of Health
Grant: 5R01EY034723-02
CRCNS: Heterogeneous effects of cognition on perception: unique leverage on circuit mechanisms
National Science Foundation
Grant: 1707400
NeuroNex Theory Team: Inferring interactions between neurons, stimuli, and behavior
National Institutes of Health
Grant: 7R01EB026953-03
Neuronal population dynamics within and across cortical areas
National Science Foundation
Grant: 2207647
Collaborative Research: CRCNS Research Proposal: Adaptive Decision Rules in Dynamic Environments
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