Publication

Phase locking and coincidence detection in threshold coupled neural oscillators

Igor Belykh
2003
Conference Papers

Abstract

Small assemblies of Fitzhugh-Nagumo neural oscillators are used to study a type of threshold coupling coming from biology where it is used to model synapses. Phase locking and coincidence detection is modelled in the two most simple coupling configurations. For the threshold coupling Fast Threshold Modulation is used. The mechanism of phase locking for master slave coupling is revealed. A setup for coincidence detection is presented for which also the influence of noise is studied and it is shown that the presence of noise can increase the sensitivity of the detection, a phenomenon that is known is Stochastic Resonance.

Official source

https://infoscience.epfl.ch/entities/publication/9a5e85c4-248e-41b2-a524-feebaeff911f

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Igor Belykh
2003
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/9a5e85c4-248e-41b2-a524-feebaeff911f

About this result

Related concepts (16)

Neural oscillation

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons.

Spiking neural network

Artificial neural network Spiking neural networks (SNNs) are artificial neural networks that more closely mimic natural neural networks. In addition to neuronal and synaptic state, SNNs incorporate the concept of time into their operating model. The idea is that neurons in the SNN do not transmit information at each propagation cycle (as it happens with typical multi-layer perceptron networks), but rather transmit information only when a membrane potential—an intrinsic quality of the neuron related to its membrane electrical charge—reaches a specific value, called the threshold.

Synapse

In the nervous system, a synapse is a structure that permits a neuron (or nerve cell) to pass an electrical or chemical signal to another neuron or to the target effector cell. Synapses are essential to the transmission of nervous impulses from one neuron to another. Neurons are specialized to pass signals to individual target cells, and synapses are the means by which they do so. At a synapse, the plasma membrane of the signal-passing neuron (the presynaptic neuron) comes into close apposition with the membrane of the target (postsynaptic) cell.

Related publications (2)

Phase locking and coincidence detection in threshold coupled neural oscillators

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