Simbrain Workshop on July, 04. - 06.
- 04.07. (WED) 09:00 - 15:00 (in 3220)
- 05.07. (THU) 09:00 - 15:00 (in 3220)
- 06.07. (FRI) 09:00 - 15:00 (in RL13a-CIP Personalmensa)
Topics to be covered: bui lding neural networks, plot ting network activity, studying network dynamics, associative memory, recurrent networks, supervised learning and back-propagation, unsupervised learning, memories as attractors of a dynamical system, using a network to control an agent in an environment using a neural network. Advanced topics to be covered, time permitting: spiking networks, genetic algorithms, reinforcement learning, echo state networks.
Jeff Yoshimi is an Associate Professor of phi losophy and cognitive science at the University of California, Merced, a new university which opened in 2005, and the f irst new campus of the University of California System bui lt since the 1960's. His research is interdiscipl inary, integrating methods from philosophy, cognitive science, and computational modeling. He received his BA in philosophy from UC Berkeley, his Ph.D. in philosophy from UC Irvine, and was a Postdoctoral Fellow at UC San Diego, before he joined and helped to found UC Merced in 2004.