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 xlink "> variational filtering probabilistic models perceptual tasks latent states experimental observations brought together
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