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» Polychronization: Computation with Spikes
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ICAISC
2010
Springer
14 years 12 days ago
Persistent Activation Blobs in Spiking Neural Networks with Mexican Hat Connectivity
Abstract. Short range excitation, long range inhibition sometimes referred to as mexican hat connectivity seems to play important role in organization of the cortex, leading to fai...
Filip Piekniewski
NECO
2008
156views more  NECO 2008»
13 years 7 months ago
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks
ns. We have previously developed an abstract dynamical system for networks of spiking neurons that has allowed us to identify the criterion for the stationary dynamics of a network...
Arunava Banerjee, Peggy Seriès, Alexandre P...
AGI
2011
12 years 11 months ago
What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
Abstract. Recurrent connectivity, balanced between excitation and inhibition, is a general principle of cortical connectivity. We propose that balanced recurrence can be achieved b...
Janelle Szary, Bryan Kerster, Christopher T. Kello
ICCS
2004
Springer
14 years 1 months ago
Developing a Data Driven System for Computational Neuroscience
Abstract. A data driven system implies the need to integrate data acquisition and signal processing into the same system that will interact with this information. This can be done ...
Ross Snider, Yongming Zhu
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 8 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee