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» A Spiking Neuron as Information Bottleneck
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NECO
2002
53views more  NECO 2002»
13 years 7 months ago
Information-Geometric Measure for Neural Spikes
The present study introduces information-geometricmeasures to analyze neural ring patterns by taking not only the secondorder but also higher-order interactions among neurons into...
Hiroyuki Nakahara, Shun-ichi Amari
NIPS
2004
13 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
FGCN
2008
IEEE
153views Communications» more  FGCN 2008»
14 years 1 months ago
Experimental Study on Neuronal Spike Sorting Methods
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Jianhua Dai, Xiaochun Liu, Yu Yi, Huaijian Zhang, ...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 2 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
ESANN
2007
13 years 9 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
Bertrand Fontaine, Herbert Peremans, Benjamin Schr...