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» Experimental Study on Neuronal Spike Sorting Methods
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NC
2007
129views Neural Networks» more  NC 2007»
13 years 4 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 deļ...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
NIPS
2004
13 years 6 months ago
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly before a postsynaptic neuron, and synaptic depression when the presynaptic neuron ...
Sander M. Bohte, Michael C. Mozer
BC
1998
118views more  BC 1998»
13 years 4 months ago
A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets
Abstract. A stochastic spike train analysis technique is introduced to reveal the correlation between the ļ¬ring of the next spike and the temporal integration period of two conse...
David C. Tam
ICASSP
2010
IEEE
13 years 5 months ago
Graph-spectrum-based neural spike features for stereotrodes and tetrodes
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
Yasser Ghanbari, Panos Papamichalis, Larry Spence
NIPS
2004
13 years 6 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