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» Prediction on Spike Data Using Kernel Algorithms
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ICASSP
2007
IEEE
14 years 2 days ago
Fundamental Detection and Estimation Limits in Spike Sorting
Spike sorting refers to the detection and classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neura...
Mona A. Sheikh, Don H. Johnson
TNN
2008
95views more  TNN 2008»
13 years 5 months ago
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation
Abstract--This paper investigates whether spike-timing-dependent plasticity (STDP) can minimize the effect of mismatch within the context of a depth-from-motion algorithm. To impro...
Katherine Cameron, Alan Murray
NIPS
2003
13 years 7 months ago
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
Ryan Kelly, Tai Sing Lee
BMCBI
2008
228views more  BMCBI 2008»
13 years 5 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
IJON
2006
90views more  IJON 2006»
13 years 5 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...