Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment.
It has recently been shown that networks of spiking neurons with noise can emulate simple forms of probabilistic inference through "neural sampling", i.e., by treating spikes as samples from a probability distribution of network states that is encoded in the network. Deficiencies of the ex...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-10-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC4207607?pdf=render |