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ESANN
2006
13 years 9 months ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...
NECO
2007
110views more  NECO 2007»
13 years 7 months ago
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
Romain Brette
NIPS
2008
13 years 9 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
NIPS
2003
13 years 9 months ago
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
Thomas Natschläger, Wolfgang Maass
ASAP
2009
IEEE
182views Hardware» more  ASAP 2009»
14 years 5 months ago
NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
Andreas Fidjeland, Etienne B. Roesch, Murray Shana...