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» Smoothing and thresholding in neuronal spike detection
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IJON
2006
63views more  IJON 2006»
13 years 4 months ago
Smoothing and thresholding in neuronal spike detection
We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that cannot be independe...
Nhamo Mtetwa, Leslie S. Smith
IJON
2007
73views more  IJON 2007»
13 years 4 months ago
Improvement of spike coincidence detection with facilitating synapses
A realistic model of activity dependent dynamical synapses is used to study the conditions in which a postsynaptic neuron detects temporal coincidences of spikes arriving from N d...
Jorge F. Mejías, Joaquín J. Torres
ICASSP
2011
IEEE
12 years 8 months ago
Wavelet footprints for detection and sorting of extracellular neural action potentials
Spike detection and sorting is a fundamental step in the analysis of extracellular neural recording. Here, we propose a combined spike detection-feature extraction algorithm that ...
Ki Yong Kwon, Karim G. Oweiss
ICASSP
2009
IEEE
13 years 11 months ago
Consistent recovery of stimuli encoded with a neural ensemble
We consider the problem of reconstructing finite energy stimuli from a finite number of contiguous spikes. The reconstructed signal satisfies a consistency condition: when pass...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
JCNS
2008
58views more  JCNS 2008»
13 years 4 months ago
The role of synaptic facilitation in spike coincidence detection
Using a realistic model of activity dependent dynamical synapse, which includes both depressing and facilitating mechanisms, we study the conditions in which a postsynaptic neuron...
Jorge F. Mejías, Joaquín J. Torres