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IJCNN
2006
IEEE
15 years 4 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
Alexei V. Ivanov, Alexander A. Petrovsky
IJCNN
2007
IEEE
15 years 4 months ago
Predicting Spike Activity in Neuronal Cultures
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
Tayfun Gürel, Ulrich Egert, Steffen Kandler, ...
NN
2007
Springer
14 years 10 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
JCNS
1998
65views more  JCNS 1998»
14 years 10 months ago
Synchronization and Oscillatory Dynamics in Heterogeneous, Mutually Inhibited Neurons
Abstract. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiologically relevant frequencies 10-200 Hz in a network of heterogeneous ...
John A. White, Carson C. Chow, Jason Ritt, Cristin...
71
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NIPS
2008
14 years 12 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...