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Journal article

Dependent Dirichlet process spike sorting

Abstract:

In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can handle "appearance" and "disappearance" of neurons. Our approach is to augment a known time-varying Dirichlet process that ties together a sequence of infinite Gaussian mixture models, one per action potential waveform observation, with an interspike-interval-dependent likelihood that prohibits refractory period violat...

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Authors


Gasthaus, J More by this author
Görür, D More by this author
Journal:
Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
Pages:
497-504
Publication date:
2009
URN:
uuid:d934f04c-31c1-4811-9ad2-17253c13c7f2
Source identifiers:
353234
Local pid:
pubs:353234
Language:
English

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