A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
about
Inferring cortical function in the mouse visual system through large-scale systems neuroscienceThe effect of surface wave propagation on neural responses to vibration in primate glabrous skinPredicting the timing of spikes evoked by tactile stimulation of the hand.Silicon-Neuron Design: A Dynamical Systems Approach.Neuromorphic silicon neuron circuits.Optimization methods for spiking neurons and networks.Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI.Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.A simple model of mechanotransduction in primate glabrous skin.Parameter estimation of a spiking silicon neuron.Locally Contractive Dynamics in Generalized Integrate-and-Fire NeuronsA mixed-signal implementation of a polychronous spiking neural network with delay adaptation.Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law.Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times.Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms.A general and efficient method for incorporating precise spike times in globally time-driven simulations.Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.Closed-Loop Brain Model of Neocortical Information-Based Exchange.Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons.Consistent recovery of sensory stimuli encoded with MIMO neural circuitsSelf-organized criticality occurs in non-conservative neuronal networks during Up statesReconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals.Fast and exact simulation methods applied on a broad range of neuron models.Toward unified hybrid simulation techniques for spiking neural networks.Generalized leaky integrate-and-fire models classify multiple neuron types.Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
P2860
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P2860
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
description
2009 nî lūn-bûn
@nan
2009年の論文
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2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
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2009年論文
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2009年论文
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2009年论文
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2009年论文
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name
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
@en
type
label
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
@en
prefLabel
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
@en
P2860
P1433
P1476
A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.
@en
P2093
Ernst Niebur
Stefan Mihalaş
P2860
P304
P356
10.1162/NECO.2008.12-07-680
P577
2009-03-01T00:00:00Z