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» A Spiking Neuron as Information Bottleneck
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NECO
2010
48views more  NECO 2010»
13 years 3 months ago
A Spiking Neuron as Information Bottleneck
Lars Buesing, Wolfgang Maass
ICANN
2003
Springer
13 years 10 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
NIPS
2003
13 years 6 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
IJON
2002
130views more  IJON 2002»
13 years 5 months ago
Error-backpropagation in temporally encoded networks of spiking neurons
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
ICA
2010
Springer
13 years 5 months ago
Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments
We describe in this paper an advanced protocol for the discrimination and the classification of neuronal spike waveforms within multichannel electrophysiological recordings. Sparse...
Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi...