On the separation of signals from neighboring cells in tetrode recordings.
In: Jordan, MI and Kearns, MJ and Solla, SA, (eds.)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 10.
(pp. 222 - 228).
M I T PRESS
We discuss a solution to the problem of separating waveforms produced by multiple cells in an extracellular neural recording. We take an explicitly probabilistic approach, using latent-variable models of varying sophistication to describe the distribution of waveforms produced by a single cell. The models range from a single Gaussian distribution of waveforms for each cell to a mixture of hidden Markov models. We stress the overall statistical structure of the approach, allowing the details of the generative model chosen to depend on the specific neural preparation.
|Title:||On the separation of signals from neighboring cells in tetrode recordings|
|Event:||11th Annual Conference on Neural Information Processing Systems (NIPS)|
|Dates:||1997-12-01 - 1997-12-06|
|UCL classification:||UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neuroscience Unit|
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