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» Probabilistic Models of Neuronal Spike Trains
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ICASSP
2008
IEEE
14 years 23 days ago
Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
Ilan N. Goodman, Don H. Johnson
CORR
2007
Springer
140views Education» more  CORR 2007»
13 years 6 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
NIPS
2004
13 years 7 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
ICONIP
2008
13 years 7 months ago
On Similarity Measures for Spike Trains
A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distan...
Justin Dauwels, François B. Vialatte, Theop...
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 6 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter