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» Spike Sorting: Bayesian Clustering of Non-Stationary Data
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NIPS
2004
9 years 1 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
NIPS
1998
9 years 1 months ago
Multi-Electrode Spike Sorting by Clustering Transfer Functions
A new paradigm is proposed for sorting spikes in multi-electrode data using ratios of transfer functions between cells and electrodes. It is assumed that for every cell and electr...
Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby
NC
2007
129views Neural Networks» more  NC 2007»
8 years 11 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deď...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
TSP
2008
167views more  TSP 2008»
8 years 10 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
IJON
2006
60views more  IJON 2006»
8 years 11 months ago
Spatiotemporal clustering of synchronized bursting events in neuronal networks
in vitro neuronal networks display Synchronized Bursting Events (SBEs), with characteristic temporal width of 100-500 ms and frequency of once every few seconds. We analyze such d...
Uri Barkan, David Horn
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