Intrinsic variability of latency to first-spike

  title={Intrinsic variability of latency to first-spike},
  author={Gilles Wainrib and Mich{\`e}le Thieullen and Khashayar Pakdaman},
  journal={Biological cybernetics},
  volume={103 1},
The assessment of the variability of neuronal spike timing is fundamental to gain understanding of latency coding. Based on recent mathematical results, we investigate theoretically the impact of channel noise on latency variability. For large numbers of ion channels, we derive the asymptotic distribution of latency, together with an explicit expression for its variance. Consequences in terms of information processing are studied with Fisher information in the Morris-Lecar model. A competition… 

Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding

This work investigates the decoding accuracy of the latency code in relation to the level of noise in the form of presynaptic spontaneous activity and argues that this phenomenon results from the influence of the spontaneous activity on the stabilization of the membrane potential in the absence of stimulation.

Identification and Continuity of the Distributions of Burst-Length and Interspike Intervals in the Stochastic Morris-Lecar Neuron

This model is applicable over a much wider range of applied current than has been thought, and the parameter of the exponential tail of the interspike interval distribution is in fact continuous over the entire range of plausible applied current, regardless of the bifurcations in the phase portrait of the model.

Estimating latency from inhibitory input

This work proposes methods for estimation of the latency or the parameters of its distribution in the case of inhibitory stimuli and considers either the latency to be constant across trials or to be a random variable.

Reduction of stochastic conductance-based neuron models with time-scales separation

A method for systematically reducing the dimension of biophysically realistic neuron models with stochastic ion channels exploiting time-scales separation is introduced, showing that reducing the number of channels can enhance discharge time reliability in response to weak inputs and that this phenomenon can be accounted for through the analysis of the reduced model.

arametric inference of neuronal response latency in presence f a background signal

Parametric estimators for the time delay and the response latency are derived and it is shown that the mean of the response Latency is always satisfactorily estimated, even assuming a wrong distribution for the responseLatency.

Metabolic cost of neuronal information in an empirical stimulus-response model

This paper couple information transfer with the metabolic cost of neuronal activity and determine the optimal information-to-metabolic cost ratios and finds that the optimal input distribution is discrete with only six points of support, both with and without a metabolic constraint.

Quantitative ergodicity for some switched dynamical systems

We provide quantitative bounds for the long time behavior of a class of Piecewise Deterministic Markov Processes with state space $\mathbb{R}^d\times E$ where $E$ is a finite set. The continous

Tuning the adhesive geometry of neurons: length and polarity control.

The control of neuronal shapes by adhesive micro-patterns thereby offers a novel paradigm to follow the dynamical process of neurite lengthening and competition through the process of axonal polarization.

Persistence in the Moran model with random switching

The paper is devoted to the study of the asymptotic behaviour of Moran process in random environment, say random selection. In finite population, the Moran process may be degenerate in finite time,

Some simple but challenging Markov processes

In this note, we present few examples of Piecewise Deterministic Markov Processes and their long time behavior. They share two important features: they are related to concrete models (in biology,



First-spike latency of auditory neurons revisited

  • P. Heil
  • Biology
    Current Opinion in Neurobiology
  • 2004

The Transient Precision of Integrate and Fire Neurons: Effect of Background Activity and Noise

Constant intrinsic noise interacts counterintuitively with latency and jitter, and depending on the stimulus strength, noise shifts the tradeoff in either direction, finding that jitter does not increase for larger synaptic amplitudes, instead, jitter is practically independent of synaptic amplitude.

Effects of noise on the spike timing precision of retinal ganglion cells.

The effect of synaptic input noise and voltage-gated channel noise on spike train reliability for a mammalian ganglion cell was studied using physiology and a multicompartment model to study noise from several sources including synapses and membrane channels.

Fluctuations in membrane potential of axons and the problem of coding

Fluctuations in the resting membrane potential of frog nerve fibers were analysed in the frequency range from 1 to 10 000 radians per second and it can be shown for a number of different receptors that this relation is in part linear in part quadratic.

Ion Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing

It is suggested that the noise inherent in the operation of ion channels enables neurons to act as smart encoders and channel stochasticity should be considered in realistic models of neurons.

Spike times make sense

A Unified Mechanism for Spontaneous-Rate and First-Spike Timing in the Auditory Nerve

The results provide a novel, comprehensive and physiologically-based explanation for the range of experimental results on the envelope-dependence of first-spike latency and precision, and its relationship with SR, in the auditory system.

The structure and precision of retinal spike trains.

  • M. BerryD. WarlandM. Meister
  • Biology, Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 1997
The reproducibility of retinal responses to repeated visual stimuli, in both tiger salamander and rabbit, is measured to show that the timing of a firing event conveyed several times more visual information than its spike count.