Neural activity of MCPC samples its generative model in the absence of inputs.

Neural activity of MCPC samples its generative model in the absence of inputs.

<p><b>a</b>, Histogram of the MCPC activity of the unclamped input neuron <i>x</i><sub>0</sub> in the linear model given in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012532#pcbi.1012532.g001" target="_blank...

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Bibliographic Details
Main Author: Gaspard Oliviers (19976466) (author)
Other Authors: Rafal Bogacz (307953) (author), Alexander Meulemans (19976469) (author)
Published: 2024
Subjects:
Neuroscience
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
explaining separate phenomena
learning probability distributions
generate likely inputs
neural sampling theories
neural sampling results
introduced neural sampling
combining predictive coding
neural sampling
predictive coding
posterior distributions
neural network
neural dynamics
neural data
neural activity
static inputs
sensory inputs
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variational filtering
probabilistic models
perceptual tasks
latent states
experimental observations
brought together
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