Leaky-Integrate and Fire Model
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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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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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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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.
... 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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A Retina-inspired encoder: An innovative step on image coding using Leaky Integrate-and-Fire neurons
... the 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 ...
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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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Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal Coding
... (NQ) and we have shown that this pure neuro-mimetic and “dynamic” model is much more efficient than the “static” conventional signal processing ...promising and flexible to obtain a better ...
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Signal Quantization using a Leaky Integrate-and-Fire neuron
... quantizer and present the analytical theoretical study of the model and its ex- perimental testing according to the variation of the values of the model’s ...particular model encodes input ...
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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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Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project
... Modern-day model performance: burnt area and fire emissions The simulated modern (2002–2012) total global annual burnt area is between 39 and 536 Mha (Table ...LPJ–GUESS–GlobFIRM and ...
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Soil C and N models that integrate microbial diversity
... C and N dynamics models (Schimel 2001 ; Neill and Gignoux 2006 ...McGuire and Treseder 2010 ; Nielsen et ...species and rela- tive contribution of each species to the community com- position, ...
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Fire stops and fire blocks
... New Terminology 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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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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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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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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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
... 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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A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models
... predictions and spontaneous activity: AdEx, HH and ML Top pan- els show raster plots for excitatory (green dots) and inhibitory (red dots) neurons, ...(green) and inhibitory (red) ...rate ...
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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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