Orbán, Gergő (MTA
Wigner Research Centre for Physics)
Discovering the world within
In order
to interpret
environmental stimuli properly and design appropriate actions efficiently the
nervous system needs to learn the structure of the environment. In the case of
mammals both behavioral studies and electrophysiological measurements indicate
that the brain builds an internal model of the environment, which can be used
to make inferences based on the sensory experience. This challenge is
equivalent to that faced by machine learning when designing artificial agents
which can make inferences
to perform tasks efficiently. The tools of machine learning, such
as generative models and Bayesian inference, provide us an opportunity to
quantitatively investigate the internal models and thus to discover the
mathematical principles underlying the computations performed by the brain.
The talk is held in English!
Az előadás nyelve angol!
Date: Oct 16, Tuesday 4:15pm
Place: BME, Building „Q”, Room QBF13