Meghivo
Az MTA Izotopkutato Intezet Adaptiv Rendszerek Osztalya meghivja Ont es
munkatarsait 1996. aprilis 12-en, penteken 9h-kor tartando eloadasara. Az
eloadas cime
>From Physics to Brain and Back
Eloado:
David Horn
Tel Aviv University
Az eloadas kivonata:
One of the paradigms of the field of Neural Computation is the Hopfield model
of associative memory. This model is a generalized Ising model in which the
binary spin variables represent neurons, and the coupling constants stand for
synaptic weights which modulate the signals by which neurons communicate with
one another. I will show how variants of this model can help us understand
general features of the ailing brain, by employing such feedback neural
networks to model memory systems of Alzheimer patients.
A different paradigm is that of feed forward neural networks. I will discuss
an example in which we use some information of how such networks function in
the visual cortex in order to construct a system for particle identification
in High Energy Physics detectors. The advantage of this system is that it
performs parallel computations which may be implemented in hardware.
Az eloadas helye: Konkoly-Thege ut 29-33, XXI/B epulet III. em.
Tanacsterem.
Lorincz Andras
