Spike train
Spike train analysis
... e spike th e n can be rep resented i^y choosing a ])articu lar j)oint of th e ty pical actio n p o te n tia ...e spike train can th e n b e expressed m atliem atically ...
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Distortion distribution of neural spike train sequence matching with optogenetics
... a spike train sequence, we are interested in studying different types of distortion ...target spike train is a memoryless process, ...time. Spike trains have been modeled as or compared ...
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Causal pattern inference from neural spike train data
... of spike train data, but LIF-neurons are generally not capable of generating reasonable sub-threshold dynamics; these are the domain of the more powerful ...
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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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Biological Neural Network Structure and Spike Activity Prediction Based on Multi Neuron Spike Train Data
... multi-neuron spike train data can be used as an alternative source to pre- dict the neural network ...the spike co-occurrence ...a spike prediction ...
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Spike train characterization and decoding for neural prosthetic devices
... the spike trains and estimating or predicting behavioral parameters from neural ...whether spike trains are rate coded or time coded: the former refers to the assumption that the only informative feature in ...
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Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis
... On some simulated data and on some real data sets, we have shown that our method performs very well. However, there are still two main directions in which our work need to be pursued in order to provide a more complete ...
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Neuronal spike train responses in the presence of threshold noise
... A vast body of work has been devoted to understand- ing the variability of single neuron response to repeated stimuli, especially as regards the consequences for neu- ral coding (Mainen and Sejnowski 1995; Nowak et al. ...
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A geometrical approach to spike train noise
... That is not to say a metric space approach does not provide useful insights into the neuronal system; given a tuned metric, spike trains can be clustered according to stimulus, and dista[r] ...
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Conditional plots For nonrenewal neural spike train data
... AUD20: Scatterplot with overlaying contours (upper plot) and perspective (lower plot) for cuberoot transformation of consecutive interval pairs (Tn,T n+l)'.. Fig.[r] ...
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Learning with precise spike times : a new decoding algorithm for liquid state machines
... the spike train outputs of the Liquid converted to continuous signals with exponential filters (Maass et ...exact spike times generated by the Liquid ...
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Nonparametric directionality measures for time series and point process data
... (spike train) data or mixtures of the two (hybrid ...to spike train data using simulated cortical neurone networks and application to experimental data from isolated muscle spindle sensory ...
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Effect of Neuromodulation of Short-term Plasticity on Information Processing in Hippocampal Interneuron Synapses
... We then took these calculations a step further by attempting to determine how far back in a spike train the synapses “remembers”, in that information from previous ISIs is carried forward into a certain ...
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Stochastic Synchronization in Purkinje Cells with Feedforward Inhibition Could Be Studied with Equivalent Phase-Response Curves
... output spike trains of the oscillators with feedforward inhibition and with the third equivalent ...normalized spike count. Normalization was done by dividing the bin spike counts between the total ...
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Firing Patterns of Cerebellar Purkinje Cells During Locomotion and Sleep
... complex spike rates between SWS and REM; increases in the rate of simple and complex spikes have been doc- umented during REM in cats (Hobson and McCarley, 1972; Marchesi and Strata, 1970), though a suppression of ...
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Stabilization of Memory States by Stochastic Facilitating Synapses
... of spike times, and increases exponentially with the number of equivalent neurons in the ...Poisson spike train have a coefficient of variation greater than one when synapses are probabilistic and ...
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Two Methods to Improve the Efficacy of ReSuMe
... Apparently the length of desired output spike train could be the main reason for the failure of learning. That can also be explained from the weights adjustment process of ReSuMe. As we know, ReSuMe is a ...
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A comment on "A fast L p spike alignment metric" by A J Dubbs, B A Seiler and M O Magnasco [arXiv:0907 3137]
... here, spike trains were recorded from field L of the auditory fore-brain of anesthetized zebra finch during playback of 20 con-specific songs with each song repeated ten times, to give a total of 200 spike ...
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Non parametric directionality analysis - extension for removal of a single common predictor and application to time series
... of spike train data using up to 7 predictors, and of human EEG using up to 8 predictors is presented in Halliday (2005) and Medkour et ...neural spike trains can distin- guish between direct and ...
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An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
... Abstract: Although most biological processes are characterized by a strong temporal asymmetry, several popular mathematical models neglect this issue. Maximum entropy methods provide a principled way of addressing time ...
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