spike-trains
A Simple Algorithm for Averaging Spike Trains
... Although spike trains are the principal channel of communication between neurons, a single stimulus will elicit different spike trains from trial to ...both spike timings and ...
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Encoding and processing of sensory information in neuronal spike trains
... afferent spike trains, suggesting that, under our experimental conditions, pyramidal cell spike trains conveyed little information about the detailed time course of the stimulus or of some ...
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An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
... While spike trains can be characterized by stochastic processes dependent on an infinite past (non-Markovian) in mathematical models [23,24], Markov chains are particularly well-suited for modeling data ...
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Transmission of temporally correlated spike trains through synapses with short term depression
... Poissonian spike trains, constructed to reflect experimentally recorded neuronal bursting, finding again that dynamic synapses decorrelate afferent spike trains and so reduce coding redundancy ...
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Statistics of spike trains in conductance-based neural networks: Rigorous results
... analyze spike statistics in the gIF model with noise and with a time- dependent ...characterizing spike trains statistics, for all parameters compatible with physical constraints (finite synaptic ...
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Studying spike trains using a van Rossum metric with a synapse like filter
... Spike trains are unreliable. For example, in the primary sensory ar- eas, spike patterns and precise spike times will vary between responses to the same ...of spike trains. A ...
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Reliable detection of predator cues in afferent spike trains of a katydid under high background noise levels
... in spike discharges at early stages of nervous processing in the auditory pathway by using the temporal details characteristic for responses to echolocation ...sequences. Spike activity was recorded from an ...
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Maximum Likelihood Analysis of Neuronal Spike Trains
... neuronal spike train data set, where we introduce the idea o f a carry-over effect o f the synaptic inputs on the firing o f a ...between spike trains through the threshold, recovery, summation and ...
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Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains
... Abstract: We consider the maximum entropy Markov chain inference approach to characterize the collective statistics of neuronal spike trains, focusing on the statistical properties of the inferred model. We ...
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Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
... one spike 5 ...a spike at time n, and σ k n = 0 otherwise. The spike-state of the entire network at time n is denoted by σ n : = σ k n N k=1 , which we call a spiking ...
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Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses
... extracting spike trains of motor unit populations, including future online EMG decomposition algorithms of surface or intramus- cular EMG [38], as well as spike sorting from other sig- nals such as ...
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Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures
... in spike trains from hippocampal cultures; (2) hippocampal networks have higher correlations and (3) hippocampal networks generate more robust theta-bursting ...
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Reliability and Precision Are Optimal for Non Uniform Distributions of Presynaptic Release Probability
... CA3 spike trains. Each spike train was randomly assigned to one of 500 synapses distributed randomly in the compartments of the CA1 cell within the stratum radiatum ...presynaptic spike time ...
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The Structure of Hippocampal Activity During REM Sleep
... Replication of results Following the methods described by Wilson and Louie, we per- formed the same analysis on our recordings. There were differences with regard to the behavioral paradigm as our animals performed an ...
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Spiking Neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage?
... for spike trains with a constant amplitude response however; the coincidence-factor does not give a proper estimate of similarity between two spike trains with varying ...distinct spike ...
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Measuring flow velocity and flow direction by spatial and temporal analysis of flow fluctuations
... mm s ⫺1 ; water velocity, 11–25 cm s ⫺1 ) (Hanke, 2001). Under nonlaminar conditions, lateral line nerve fibers do respond to unidirectional water flow, but mainly respond to the flow fluctu- ations and not to the DC ...
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Neural spike train synchronization indices: Definitions, interpretations, and applications
... The individual coherence estimates in Fig. 7(a) are estimated from the same data sets as the cumulant density estimates in Fig. 4 (right column). The individual examples in Fig. 4 were chosen to illustrate the two ...
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Frequency Metric in Binary Spaces
... A problem requiring such a norm is described in [1] where cellular activities are analysed using a binary mapping technique that detects difference in spike trains with respect to their frequency and/or ...
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SNIFFING SPERM
... change in the membrane potential of the interneurone (a graded synaptic input). Knowing that interneurones are thought to perform the discrimination between songs, Machens and colleagues suspected that the inputs to ...
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Shifting Spike Times or Adding and Deleting Spikes—How Different Types of Noise Shape Signal Transmission in Neural Populations
... synchronized spike trains, does not resemble the input signal very ...N spike trains, reduces cross-correlations at high frequencies, and thus reduces out- put variability due to the common ...
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