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ICASSP
2011
IEEE
12 years 11 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
NECO
2007
150views more  NECO 2007»
13 years 7 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
IJON
2007
83views more  IJON 2007»
13 years 7 months ago
Phase synchronization between LFP and spiking activity in motor cortex during movement preparation
A common approach to measure and assess cortical dynamics focuses on the analysis of mass signals, such as the local field potential (LFP), as an indicator for the underlying net...
Michael Denker, Sébastien Roux, Marc Timme,...
NIPS
2004
13 years 8 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
BC
2004
114views more  BC 2004»
13 years 7 months ago
Spike timing and synaptic plasticity in the premotor pathway of birdsong
Abstract. The neural circuits of birdsong appear to utilize specific time delays in their operation. In particular, the anterior forebrain pathway (AFP) is implicated in an approxi...
Henry D. I. Abarbanel, Leif Gibb, Gabriel B. Mindl...