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Cosyne 2008 Workshops


March 3-4, 2008

Snowbird, Utah


Spiking Networks and Reinforcement Learning (2 day workshop)

Organizers

Botond Szatmary  (The Neurosciences Institute): Botond.Szatmary@nsi.edu
Eugene Izhikevich (The Neurosciences Institute): Eugene.Izhikevich@nsi.edu




Abstract

This workshop will bring together eminent experimental biologists and theoretical scientists to discuss learning in spiking networks.

There have been abundant experimental and theoretical results on the dynamics of spiking neurons and networks, emphasizing the importance of precise firing patterns. Likewise, reinforcement learning (RL) has a long history as a research topic in machine learning. However, there have only been a few attempts to connect this theory to neuroscience and express RL in a framework of spiking neurons.

The goal of this workshop is to enable the participants to catch up on the most recent experimental data, to introduce new theories, and to see if we can bring the theory and experimental data more closely into agreement with each other.


March 3

 
March 3, 08:00 Eugene Izhikevich Solving the Distal Reward Problem through the linkage of Dopamine Signaling and STDP
March 3, 08:45 Razvan Florian Relating reinforcement learning and STDP
March 3, 09:30     Florentin Woergoetter   Neural control and three-factor differential hebbian earning in behaving systems
March 3, 10:15 Mayank Mehta Resonance Learning
Break
March 3, 17:15 Gloster Aaron Searching for organization in the activity of cortical networks
March 3, 18:00 Peter Latham How noisy is the brain? A bottom up approach
March 3, 18:45 Ken Harris Axonal backpropagation in real neuronal networks
 

March 4

 
March 4, 08:00 Harel Shouval Learning Reward Timing using Reinforced Expression of Synaptic Plasticity
March 4, 08:45 Walter Senn Reinforcement learning in populations of spiking neurons
March 4, 09:30 Wulfram Gerstner Spike-based reinforcement learning of navigation
March 4, 10:15 Michael Hasselmo Cortical mechanisms of memory-guided behavior: Oscillations, grid cells, arc length and RL
Break
March 4, 17:15 Maxim Bazhenov Control of sparseness of odor representations in the insect olfactory system
March 4, 18:00 Aristodemos Cleanthous   Can Networks of Leaky Integrate-and-Fire Neurons with Spike-based Reinforcement Learning Play Games?
March 4, 18:45 Robert Legenstein Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity

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