Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
T Masquelier, SR Kheradpisheh - Frontiers in computational …, 2018 - frontiersin.org
Repeating spatiotemporal spike patterns exist and carry information. Here we investigated
how a single spiking neuron can optimally respond to one given pattern (localist coding), or …
how a single spiking neuron can optimally respond to one given pattern (localist coding), or …
[HTML][HTML] STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons
T Masquelier - Neuroscience, 2018 - Elsevier
Repeating spatiotemporal spike patterns exist and carry information. How this information is
extracted by downstream neurons is unclear. Here we theoretically investigate to what …
extracted by downstream neurons is unclear. Here we theoretically investigate to what …
Competitive STDP-based spike pattern learning
T Masquelier, R Guyonneau, SJ Thorpe - Neural computation, 2009 - direct.mit.edu
Recently it has been shown that a repeating arbitrary spatiotemporal spike pattern hidden in
equally dense distracter spike trains can be robustly detected and learned by a single …
equally dense distracter spike trains can be robustly detected and learned by a single …
Binding sparse spatiotemporal patterns in spiking computation
Imagine a two-dimensional spatial array of detectors temporally driven via an unknown
number of mutually overlapping, unknown patterns. One at a time, these patterns are …
number of mutually overlapping, unknown patterns. One at a time, these patterns are …
STDP allows fast rate-modulated coding with Poisson-like spike trains
M Gilson, T Masquelier, E Hugues - PLoS computational biology, 2011 - journals.plos.org
Spike timing-dependent plasticity (STDP) has been shown to enable single neurons to
detect repeatedly presented spatiotemporal spike patterns. This holds even when such …
detect repeatedly presented spatiotemporal spike patterns. This holds even when such …
Extracting oscillations: Neuronal coincidence detection with noisy periodic spike input
How does a neuron vary its mean output firing rate if the input changes from random to
oscillatory coherent but noisy activity? What are the critical parameters of the neuronal …
oscillatory coherent but noisy activity? What are the critical parameters of the neuronal …
How the threshold of a neuron determines its capacity for coincidence detection
Coherent oscillatory activity of a population of neurons is thought to be a vital feature of
temporal coding in the brain. We focus on the question of whether a single neuron can …
temporal coding in the brain. We focus on the question of whether a single neuron can …
Single neuron firing properties impact correlation-based population coding
Correlated spiking has been widely observed, but its impact on neural coding remains
controversial. Correlation arising from comodulation of rates across neurons has been …
controversial. Correlation arising from comodulation of rates across neurons has been …
Neuronal coupling benefits the encoding of weak periodic signals in symbolic spike patterns
M Masoliver, C Masoller - … in Nonlinear Science and Numerical Simulation, 2020 - Elsevier
The biophysical mechanisms by which an input signal elicits a neuronal response are well
known (sufficiently large inputs change the membrane potential of the neuron and generate …
known (sufficiently large inputs change the membrane potential of the neuron and generate …
Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity
J Humble, S Denham, T Wennekers - Frontiers in computational …, 2012 - frontiersin.org
It has previously been shown that by using spike-timing-dependent plasticity (STDP),
neurons can adapt to the beginning of a repeating spatio-temporal firing pattern in their …
neurons can adapt to the beginning of a repeating spatio-temporal firing pattern in their …