Telcs, András (BME SZIT)
Modelling
stochastic neural learning
After a short introduction of the brain structure and built and main functional description of neurons we give a cursory review of present theory of Bayesian neural learning. A theory supported by strong evidences, how neurons communicate, encode , represent and decode stimuli, how probability distributions are learned, stored and sampled.
Date: Sep. 15, Tuesday 4:15pm
Place: BME, Building „Q”, Room QBF13