Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception
Abstract The robust estimation of dynamical hidden features, such as the position of prey, based on sensory inputs is one of the hallmarks of perception. This dynamical estimation can be rigorously formulated by nonlinear Bayesian filtering theory. Recent experimental and behavioral studies have sho...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-06519-y |