Burst firing improves the detection of weak signals in spike trains
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
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1. A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains;Biological Cybernetics;2022-10-16
2. Open-loop organization of thalamic reticular nucleus and dorsal thalamus: a computational model;Journal of Neurophysiology;2015-10
3. Maximum decoding abilities of temporal patterns and synchronized firings: application to auditory neurons responding to click trains and amplitude modulated white noise;Journal of Computational Neuroscience;2009-04-17
4. Continuous detection of weak sensory signals in afferent spike trains: the role of anti-correlated interspike intervals in detection performance;Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology;2003-10-01
5. Change-point detection in neuronal spike train activity;Neurocomputing;2003-06
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