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   Articles with "first spike" as a keyword



Spatial separation between two sounds affects first-spike latencies of responses elicited by the sounds in the rat’s auditory midbrain neurons

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-03633-0

Abstract: The first-spike latency (FSL) is an important temporal characteristic of a neurophysiological response. We study the FSLs of sound-driven responses in individual neurons in the rat’s auditory midbrain. Responses were elicited by a train of… read more here.

Keywords: rat auditory; responses elicited; sound; auditory midbrain ... See more keywords

Channel noise effects on first spike latency of a stochastic Hodgkin-Huxley neuron.

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recommendations! Published in 2017 at "Physical Review E"

DOI: 10.1103/physreve.95.022414

Abstract: While it is widely accepted that information is encoded in neurons via action potentials or spikes, it is far less understood what specific features of spiking contain encoded information. Experimental evidence has suggested that the… read more here.

Keywords: hodgkin huxley; latency; spike latency; first spike ... See more keywords

First spike latency of ON/OFF neurons in the optic tectum of pigeons.

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recommendations! Published in 2018 at "Integrative zoology"

DOI: 10.1111/1749-4877.12368

Abstract: Some shallow and middle optic tectum (OT) neurons have stable, asymmetric full-screen ON and OFF stimulus response properties, which makes them candidates for delay encoding. In this paper, we investigated the delay encoding mechanism for… read more here.

Keywords: latency neurons; optic tectum; spike latency; first spike ... See more keywords

Iteration over Event Space in Time-to-First-Spike Spiking Neural Networks for Twitter (X) Bot Classification

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recommendations! Published in 2024 at "International Journal of Applied Mathematics and Computer Science"

DOI: 10.48550/arxiv.2407.08746

Abstract: Abstract This study proposes a variant of a time-coding time-to-first-spike spiking neural network (SNN) model with its neurons capable of generating spike trains in response to observed event sequences. This extends an existing model that… read more here.

Keywords: time; time first; spike spiking; event ... See more keywords