Examples of spike trains and their ISI histograms for two neurons
Download scientific diagram | Examples of spike trains and their ISI histograms for two neurons recorded by whole-cell patch-clamp technique. a, A spike train recorded from a neuron by the whole-cell patch-clamp technique in response to the fluctuating synaptic input I syn whose parameter set is ( g e0 , V r ) (0.024 S, 44 mV). The fluctuating input I syn was injected for 10 seconds. b, The ISI histogram for the spike train shown in a. The ISI histogram is well fitted by the gamma distribution (bold line) with 1.68. The fact that for the former part of a spike train is almost the same as that for the latter part demonstrates high reproducibility of. c, A spike train recorded from another neuron in response to the fluctuating synaptic input I syn whose parameter is (0.012 S,44 mV). d, The ISI histogram for the spike train shown in c. The ISI histogram is well fitted by the gamma distribution (bold line) with 3.09. from publication: Balanced Excitatory and Inhibitory Inputs to Cortical Neurons Decouple Firing Irregularity from Rate Modulations | In vivo cortical neurons are known to exhibit highly irregular spike patterns. Because the intervals between successive spikes fluctuate greatly, irregular neuronal firing makes it difficult to estimate instantaneous firing rates accurately. If, however, the irregularity of | Fires, Cortical Neurons and Balance | ResearchGate, the professional network for scientists.
The ISI histograms for different firing patterns. (a) Raster plot
Peristimulus time ͑ PST ͒ histograms of the responses to trains of
Examples of spike trains and their ISI histograms for two neurons
Balanced Excitatory and Inhibitory Inputs to Cortical Neurons Decouple Firing Irregularity from Rate Modulations
Balanced Excitatory and Inhibitory Inputs to Cortical Neurons Decouple Firing Irregularity from Rate Modulations
Yasuhiro TSUBO, Ritsumeikan University, Kyoto, Department of Information and Communication Science
Yasuhiro TSUBO, Ritsumeikan University, Kyoto, Department of Information and Communication Science
Yasuhiro TSUBO, Ritsumeikan University, Kyoto, Department of Information and Communication Science
Keiji MIURA, Ph.D, Tohoku University, Sendai, Tohokudai
Keiji MIURA, Ph.D, Tohoku University, Sendai, Tohokudai
Yasuhiro TSUBO, Ritsumeikan University, Kyoto, Department of Information and Communication Science
Neural burst codes disguised as rate codes
