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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Bibliographic Details
- Journal:
- Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference
- Pages:
- 497-504
- Publication date:
- 2009-01-01
- Source identifiers:
-
353234
Item Description
- Language:
- English
- Pubs id:
-
pubs:353234
- UUID:
-
uuid:d934f04c-31c1-4811-9ad2-17253c13c7f2
- Local pid:
- pubs:353234
- Deposit date:
- 2013-11-16
Terms of use
- Copyright date:
- 2009
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