2009 International Joint Conference on Neural Networks (IJCNN) Tutorial.
Plasticity Revisited: Motivating New Algorithms Based On Recent
June 14, 2009, 10:30-12:30, Atlanta, Georgia, USA
Tutorial Page: http://reason.cs.uiuc.edu/tsvi/IJCNN-tutorial-2009.html
Plasticity is a key component of computational algorithms and
neuroscience studies. Neuroscience research reveals a wide variety of
plasticity mechanisms i.e. homeostatic, synaptic (fast, slow, NMDA
dependent etc.), and intrinsic plasticity. However, controversies
still surround plasticity. How is plasticity governed and why is there
so much variability? Can these findings be interpreted differently?
Feedback inhibition, where neurons feed back to their own inputs and
inhibit them, is found throughout the brain including sensory
processing regions. Within feedback networks, mechanisms required for
plasticity are fundamentally different.
We will analyze plasticity from the perspective of feedback
inhibition, review basic assumptions about plasticity, and motivate
new recognition algorithms.
Tsvi Achler studies recognition processing applications from a
multidisciplinary perspective. He received Bachelors degrees from UC
Berkeley in Electrical Engineering and in Computer Science. His
advanced degrees are from the University of Illinois at
Urbana-Champaign in Neuroscience and in Medicine. He is currently a
research associate in the Department Computer Science.
Conference Early Registration deadline: May 12, 2009
Tsvi Achler MD/PhD
Department of Computer Science
University of Illinois at Urbana-Champaign
201 N. Goodwin Ave., Urbana, IL 61801
Office: (217) 244-7118
Fax: (217) 265-6591
Email: achler from uiuc.eduhttp://reason.cs.uiuc.edu/tsvi/