Integrate and Fire
Robust Modulation of Integrate-and-Fire Models
... spike and that has a direct physiological inter- ...fast and slow I-V curves can be identified from voltage-clamp experimental data or from a detailed computational conductance- based model, see ...
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An integrate-and-fire model to generate spike trains with long-range dependence
... fractal and/or long-range dependence of the spiking activity of some neurons (see Introduction), we merely identified two streams of papers proposing a model re- flecting these ...) and coworkers), an ...
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Stability of synchronization under stochastic perturbations in leaky integrate and fire neural networks of finite size.
... solutions and more generally phase-locked solutions in integrate and fire networks with delays have also been analyzed in the case of strong or arbitrary intensity coupling, see for instance ...
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Signal Quantization using a Leaky Integrate-and-Fire neuron
... am@i3s.unice.fr R´esum´e – Dans cet article, nous pr´esentons un quantificateur bas´e sur le mod`ele neuronal Leaky-Integrate and Fire (LIF). Le LIF est un mod`ele simplifi´e du fonctionnement des ...
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Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
... encoding and shaping collective dynamics as well as spike train statistics is quite less understood than the role of chemical ...conductance-based Integrate and Fire neural networks was ...
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Spike trains statistics in integrate and fire models: exact results.
... samples, and the duration of the exper- iment (with a possible mathematical extrapolation to infi- nite ...questions and new algorithms for data treatments. Here, we propose a complete and rigor- ous ...
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Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
... Methods and results In [1] we have analyzed mathematically the collective effects of chemical and electric synapses in a conduc- tance-based Integrate-and-Fire neural network, where ...
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Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons
... identify and characterize the mechanisms underlying general dynamical ...numerical and theoretical studies are based on the so-called rate models, where each neuron is characterized by a single ...
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Global solvability of a networked integrate-and-fire model of McKean-Vlasov type
... networked integrate-and- fire model describing an infinite population of neurons which interact with one another through their common statistical ...others fire: precisely, the kick it ...
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The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states
... 0.1 and Poisson rate ...existence and properties of the steady state measure of a PDE that arises for the description of an excitatory network of leaky integrate-and-fire (LIF) ...
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Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal Coding
... Leaky Integrate-and-Fire (LIF), spikes, ...plasticity and its ability to generate a very sparse but informative code of spikes [1] seems to be beneficial to the progress of the ...
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Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity
... words: Integrate and fire models; noise; neural networks; blow-up; spontaneous activity; Mathematics Subject Classification: 35K60, 82C31, 92B20 1 Introduction The Network Noisy Leaky ...
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A Retina-inspired encoder: An innovative step on image coding using Leaky Integrate-and-Fire neurons
... Leaky Integrate-and-Fire (LIF) neural model which encodes intensity values into ...way, and based on previous works on the OPL filtering in [1], we built a quantization system making use of ...
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Image coding using Leaky Integrate-and-Fire neurons
... rectification, and the Ganglionic Layer which is responsible for the encoding of the ...Leaky Integrate-and-Fire (LIF) neural model which encodes intensity values into ...way, and based ...
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A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models
... networks and to simulate the brain at macroscopic ...from Integrate-and-Fire to Hodgkin-Huxley, thus linking population models to neurons ...
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Performance théorique d'un neurone à spikes Integrate-and-Fire
... (anne.savard, laurent.clavier)@imt-lille-douai.fr, (francois.danneville, christophe.loyez)@univ-lille.fr Résumé – Ce papier se concentre sur les performances théoriques d’un détecteur neuro-inspiré pour une communication ...
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Dynamic Image Quantization using Leaky Integrate-and-Fire Neurons
... process and clarify the details of the visual ...leaky integrate- and-fire (LIF) model to transform the visual stimulus into a spike train and then it combines two different kinds of ...
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Derivation of a voltage density equation from a voltage-conductance kinetic model for networks of integrate-and-fire neurons.
... Conclusion and perspectives Neural networks are by nature highly complex systems and mean field models are a way to circumvent the ...potential and the conductance of the ...rich, and exhibit ...
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Clustering behaviors in networks of integrate-and-fire oscillators
... of integrate-and-fire oscillators Alexandre Mauroy a 兲 and Rodolphe Sepulchre b 兲 Department of Electrical Engineering and Computer Science, University of Liège, B-4000 Liège, Belgium ...
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Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
... heading and navigation, but un- til now, the neural mechanisms underlying that ability remained ...beak, and ferrimagnetic particles in the inner ear ...heading and geosurface ...hippocampus, ...
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