Stochastic representations in the nervous system

Rövid cím: 
Stochastic representations in the nervous system
2017. 03. 10. 10:15
BME Fizikai Intézet, Elméleti Fizika Tanszék, Budafoki út 8. F-épület, III lépcsőház, szemináriumi szoba
Gergely Orbán (Wigner Res. Inst.)

The brain is constantly making inferences about environmental variables in order to interpret stimuli and plan actions. In order to do so, it needs to maintain a model of the environment in which inferences on not directly observable quantities can be accomplished. We argue that the noisy and incomplete data received through the senses motivates a probabilistic representation. This approach enables us to build ideal observer models to establish optimal performance. We will discuss why sensory cortex cares little about what the senses communicate, how a noisy nervous system can be a design that seeks to achieve optimal performance, and why the processing pipeline is two-directional in a hierarchical model of the environment?