[HTML][HTML] Spike-response model
W Gerstner - Scholarpedia, 2008 - scholarpedia.org
The Spike Response Model is a generalization of the leaky integrate-and-fire model and
gives a simple description of action potential generation in neurons. Just as in the integrate …
gives a simple description of action potential generation in neurons. Just as in the integrate …
Nonlinear dynamics and machine learning of recurrent spiking neural networks
OV Maslennikov, MM Pugavko, DS Shchapin… - Physics-Uspekhi, 2022 - ufn.ru
Major achievements in designing and analyzing recurrent spiking neural networks intended
for modeling functional brain networks are reviewed. Key terms and definitions employed in …
for modeling functional brain networks are reviewed. Key terms and definitions employed in …
Linear-nonlinear cascades capture synaptic dynamics
J Rossbroich, D Trotter, J Beninger… - PLoS computational …, 2021 - journals.plos.org
Short-term synaptic dynamics differ markedly across connections and strongly regulate how
action potentials communicate information. To model the range of synaptic dynamics …
action potentials communicate information. To model the range of synaptic dynamics …
Stimulus-induced sequential activity in supervisely trained recurrent networks of firing rate neurons
OV Maslennikov, VI Nekorkin - Nonlinear Dynamics, 2020 - Springer
In this work, we consider recurrent neural networks of firing rate neurons supervisely trained
to generate multidimensional sequences of given configurations. We study dynamical …
to generate multidimensional sequences of given configurations. We study dynamical …
Anti-hebbian spike-timing-dependent plasticity and adaptive sensory processing
PD Roberts, TK Leen - Frontiers in computational neuroscience, 2010 - frontiersin.org
Adaptive sensory processing influences the central nervous system's interpretation of
incoming sensory information. One of the functions of this adaptive sensory processing is to …
incoming sensory information. One of the functions of this adaptive sensory processing is to …
Dynamical characteristics of recurrent neuronal networks are robust against low synaptic weight resolution
The representation of the natural-density, heterogeneous connectivity of neuronal network
models at relevant spatial scales remains a challenge for Computational Neuroscience and …
models at relevant spatial scales remains a challenge for Computational Neuroscience and …
Time windows and reverberating loops: a reverse-engineering approach to cerebellar function
WM Kistler, CI De Zeeuw - The Cerebellum, 2003 - Springer
We review a reverse-engineering approach to cerebellar function that pays particular
attention to temporal aspects of neuronal interactions. This approach offers new vistas on …
attention to temporal aspects of neuronal interactions. This approach offers new vistas on …
Spike-timing dependent synaptic plasticity: a phenomenological framework
WM Kistler - Biological cybernetics, 2002 - Springer
In this paper a phenomenological model of spike-timing dependent synaptic plasticity
(STDP) is developed that is based on a Volterra series-like expansion. Synaptic weight …
(STDP) is developed that is based on a Volterra series-like expansion. Synaptic weight …
Paradigms for computing with spiking neurons
W Maass - Models of Neural Networks IV: Early Vision and …, 2002 - Springer
In this chapter we define for various neural coding schemes formal models of computation in
networks of spiking neurons. The main results about the computational power of these …
networks of spiking neurons. The main results about the computational power of these …
Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times
S Yamauchi, H Kim, S Shinomoto - Frontiers in computational …, 2011 - frontiersin.org
In simulating realistic neuronal circuitry composed of diverse types of neurons, we need an
elemental spiking neuron model that is capable of not only quantitatively reproducing spike …
elemental spiking neuron model that is capable of not only quantitatively reproducing spike …