A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
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The influence of synaptic weight distribution on neuronal population dynamicsSpeed hysteresis and noise shaping of traveling fronts in neural fields: role of local circuitry and nonlocal connectivityThe benefits of noise in neural systems: bridging theory and experimentAdaptive stochastic resonance for unknown and variable input signals.Temporal Considerations for Stimulating Spiral Ganglion Neurons with Cochlear Implants.Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks.The role of inhibition in a computational model of an auditory cortical neuron during the encoding of temporal information.A point process framework for modeling electrical stimulation of the auditory nerve.The role of coincidence-detector neurons in the reliability and precision of subthreshold signal detection in noise.Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods.Desert ants achieve reliable recruitment across noisy interactionsModeling fMRI signals can provide insights into neural processing in the cerebral cortex.Inferring Neuronal Dynamics from Calcium Imaging Data Using Biophysical Models and Bayesian Inference.Rhythms of the brain: an examination of mixed mode oscillation approaches to the analysis of neurophysiological data.Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves.Diversity of intrinsic frequency encoding patterns in rat cortical neurons--mechanisms and possible functions.A Model of Fast Hebbian Spike Latency NormalizationFrom spiking neuron models to linear-nonlinear models.Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactionsAnalysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics.Noise in attractor networks in the brain produced by graded firing rate representationsSpike-interval triggered averaging reveals a quasi-periodic spiking alternative for stochastic resonance in catfish electroreceptors.Impact of network structure and cellular response on spike time correlations.Non-additive coupling enables propagation of synchronous spiking activity in purely random networks.Adaptation in the visual cortex: influence of membrane trajectory and neuronal firing pattern on slow afterpotentials.Optimal balance of the striatal medium spiny neuron networkDynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces.Inhibition and modulation of rhythmic neuronal spiking by noise.Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems.Critical slowing down governs the transition to neuron spikingNeuronal spike timing adaptation described with a fractional leaky integrate-and-fire modelInterplay of intrinsic and synaptic conductances in the generation of high-frequency oscillations in interneuronal networks with irregular spiking.A case for spiking neural network simulation based on configurable multiple-FPGA systemsWhole-field visual motion drives swimming in larval zebrafish via a stochastic processCell Assembly Dynamics of Sparsely-Connected Inhibitory Networks: A Simple Model for the Collective Activity of Striatal Projection Neurons.Identifying Anatomical Origins of Coexisting Oscillations in the Cortical MicrocircuitInformation filtering by synchronous spikes in a neural population.Symmetric spike timing-dependent plasticity at CA3-CA3 synapses optimizes storage and recall in autoassociative networks.Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator.Parameter estimation of a spiking silicon neuron.
P2860
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P2860
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
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2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
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2006年學術文章
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2006年學術文章
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name
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@ast
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@en
type
label
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@ast
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@en
prefLabel
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@ast
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.
@en
P1476
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
@en
P2093
Burkitt AN
P2888
P356
10.1007/S00422-006-0068-6
P577
2006-04-19T00:00:00Z