The relationship between the firing rate of a single neuron and the level of activity in a population of neurons. Experimental evidence for resonant enhancement in the population response.
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Decorrelation of neural-network activity by inhibitory feedbackA dynamic causal model study of neuronal population dynamicsRepetitive firing: quantitative analysis of encoder behavior of slowly adapting stretch receptor of crayfish and eccentric cell of LimulusDivisive gain modulation with dynamic stimuli in integrate-and-fire neuronsMechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate modelHow noisy adaptation of neurons shapes interspike interval histograms and correlations.Treatment of nerve impulse data for comparison with theory.Representation of dynamical stimuli in populations of threshold neurons.Influence of ionic conductances on spike timing reliability of cortical neurons for suprathreshold rhythmic inputsA small fraction of strongly cooperative sodium channels boosts neuronal encoding of high frequenciesStochastic models of neuronal dynamicsDynamic finite size effects in spiking neural networks.The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitroImproved signaling as a result of randomness in synaptic vesicle release.Dynamics of encoding in a population of neurons.Inhibition in the Limulus lateral eye in situDynamic relationship between the slow potential and spikes in cockroach ocellar neurons.Information filtering by synchronous spikes in a neural population.Cortical Specializations Underlying Fast Computations.Inferring network dynamics and neuron properties from population recordings.Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods.Neuronal spike-train responses in the presence of threshold noise.A stochastic-field description of finite-size spiking neural networks.Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong SynapsesA Markov model for the temporal dynamics of balanced random networks of finite size.Phase-locked responses in the Limulus lateral eye. Theoretical and experimental investigation.Direct connections assist neurons to detect correlation in small amplitude noises.Precision and reliability of periodically and quasiperiodically driven integrate-and-fire neurons.Minimal models of adapted neuronal response to in vivo-like input currents.Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.Population density equations for stochastic processes with memory kernels.The dynamics of integrate-and-fire: mean versus variance modulations and dependence on baseline parameters.Electrical coupling promotes fidelity of responses in the networks of model neurons.Physiological and anatomical properties of mouse medial vestibular nucleus neurons projecting to the oculomotor nucleus.From subthreshold to firing-rate resonance.A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses.Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.Rate models for conductance-based cortical neuronal networks.Dynamics of moment neuronal networks.Dynamics of neural populations: stability and synchrony.
P2860
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P2860
The relationship between the firing rate of a single neuron and the level of activity in a population of neurons. Experimental evidence for resonant enhancement in the population response.
description
1972 nî lūn-bûn
@nan
1972年の論文
@ja
1972年学术文章
@wuu
1972年学术文章
@zh-cn
1972年学术文章
@zh-hans
1972年学术文章
@zh-my
1972年学术文章
@zh-sg
1972年學術文章
@yue
1972年學術文章
@zh
1972年學術文章
@zh-hant
name
The relationship between the f ...... nt in the population response.
@ast
The relationship between the f ...... nt in the population response.
@en
type
label
The relationship between the f ...... nt in the population response.
@ast
The relationship between the f ...... nt in the population response.
@en
prefLabel
The relationship between the f ...... nt in the population response.
@ast
The relationship between the f ...... nt in the population response.
@en
P2860
P356
P1476
The relationship between the f ...... nt in the population response.
@en
P2093
P2860
P304
P356
10.1085/JGP.59.6.767
P577
1972-06-01T00:00:00Z