5 search results - page 1 / 1 » Spontaneous Dynamics of Asymmetric Random Recurrent Spiking ... |
NECO
2006
13 years 11 months ago
2006
We study in this paper the effect of an unique initial stimulation on random recurrent networks of leaky integrate and fire neurons. Indeed given a stochastic connectivity this so...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
NECO
2010
13 years 9 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
ISCAS
2006
IEEE
14 years 5 months ago
2006
IEEE
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
NC
2007
13 years 10 months ago
2007
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an in...