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Leaky Integrate-and-Fire (LIF) model

Image coding using Leaky Integrate-and-Fire neurons

Image coding using Leaky Integrate-and-Fire neurons

... the model of the mammalian ...eye and it is responsible for ...handles and compresses the visual information and based on previous studies we aim to build and analy- tically study a ...

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Dynamic Image Quantization using Leaky Integrate-and-Fire Neurons

Dynamic Image Quantization using Leaky Integrate-and-Fire Neurons

... process and clarify the details of the visual ...the leaky integrate- and-fire (LIF) model to transform the visual stimulus into a spike train and then it combines two ...

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A Retina-inspired encoder: An innovative step on image coding using Leaky Integrate-and-Fire neurons

A Retina-inspired encoder: An innovative step on image coding using Leaky Integrate-and-Fire neurons

... a model of the mammalian ...eye and it is responsible for ...handles and compresses visual information and based on pre- vious studies we aim to build and analytically study a retinal- ...

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Signal Quantization using a Leaky Integrate-and-Fire neuron

Signal Quantization using a Leaky Integrate-and-Fire neuron

... neural model. After an extended theoretical and experimental study of the model, we observed that according to the absence or not of a refractory period, the model switches from a uniform to a ...

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Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons

Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons

... realistic and meaningful ...avalanches and of the scaling behavior of the fluctuations of the spiking ...the model to test the robustness of the results of our ...a model that has been ...

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Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal Coding

Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal Coding

... LIF model (1) where the first spikes appears always with the same delay determined by the input intensity I and the threshold ...LIF model and the ...d and reconstructs an approximation ...

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The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states

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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Stability of synchronization under stochastic perturbations in leaky integrate and fire neural networks of finite size.

Stability of synchronization under stochastic perturbations in leaky integrate and fire neural networks of finite size.

... neurons and 0 < η ≤ ...the model of Mirollo and Strogatz ( 1990 ), that is, fully-connected and totally excitatory integrate and fire neural network with ...

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Spike trains statistics in integrate and fire models: exact results.

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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Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity

Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity

... Noisy Leaky Integrate and Fire equation is among the simplest model allowing for a self-consistent description of neural networks and gives a rule to determine the probability to ...

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Soil C and N models that integrate microbial diversity

Soil C and N models that integrate microbial diversity

... C and N dynamics by manipulating diversity and mainly by artificially reducing soil microbial diversity (Nielsen et ...biomass, and measured one or several soil functions for each level of ...

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Fire stops and fire blocks

Fire stops and fire blocks

... New Terminology ƒ Fire block – a material, component or system installed in a concealed space in a building to restrict the spread of fire and often smoke in that concealed space a[r] ...

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Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

... datasets and mean of three models for number of fires and mean fire ...size. Model output is adapted so that mean and variance coincide with observations as the total values are not ...

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Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

... synchronization, and genera- tion of neural ...chemical and electric synapses on spike responses is a mandatory step towards a better understanding of spike ...

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Fire Growth Model for Apartment Buildings

Fire Growth Model for Apartment Buildings

... Flexible polyurethane foam is used as the representative fuel for apartment fires. Residential fires almost always involve upholstered furniture or bedding, which is well represented by[r] ...

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Repairing Leaky Masonry Walls

Repairing Leaky Masonry Walls

... These colourless materials show promise when used for this purpose but they will not seal large pores or cracks in masonry and therefore they cannot be considered as substitutes for repo[r] ...

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FIERAsystem Storage Rack Fire Development Model

FIERAsystem Storage Rack Fire Development Model

... While the point source model generally underpredicts heat fluxes relatively close to a fire, it still provides a simple method of ensuring that the nominal diameter is realistic for t[r] ...

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FIERAsystem t2 Fire Development Model Report

FIERAsystem t2 Fire Development Model Report

... The Suppression Effectiveness Model then modifies these temperatures at each time step based on the effect of suppression systems on the flame height, then outputs the modified effecti[r] ...

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Fire-control radar model laboratory work

Fire-control radar model laboratory work

... 2.1. The Sonar subsystem As its name says, a real-life FCR is designed with an electro- magnetic waves transmitter and receiver. In our experiment, the maximum ranging is not a strong constrain so that it is much ...

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Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

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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