Results 31 to 40 of about 40,549 (223)
Spike sorting of synchronous spikes from local neuron ensembles [PDF]
Journal of Neurophysiology, 2015 Synchronous spike discharge of cortical neurons is thought to be a fingerprint of neuronal cooperativity. Because neighboring neurons are more densely connected to one another than neurons that are located further apart, near-synchronous spike discharge can be expected to be prevalent and it might provide an important basis for cortical computations ...
Felix Franke +6 more
openaire +3 more sources
Volatile Memory Motifs: Minimal Spiking Neural Networks
IEEE Access, 2023 How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering.
Fabio Schittler Neves, Marc Timme
doaj +1 more source
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
core +2 more sources
Nanophotonics, 2022 Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems.
Hejda Matěj +11 more
doaj +1 more source
Effects of direct current stimulation on synaptic plasticity in a single neuron
Brain Stimulation, 2021 Background: Transcranial direct current stimulation (DCS) has lasting effects that may be explained by a boost in synaptic long-term potentiation (LTP). We hypothesized that this boost is the result of a modulation of somatic spiking in the postsynaptic ...
Forouzan Farahani +4 more
doaj +1 more source
Comparing Offline Decoding Performance in Physiologically Defined Neuronal Classes [PDF]
, 2016 Objective: Recently, several studies have documented the presence of a bimodal distribution of spike waveform widths in primary motor cortex. Although narrow and wide spiking neurons, corresponding to the two modes of the distribution, exhibit different ...
Best, Matthew D. +5 more
core +2 more sources
Memristive LIF Spiking Neuron Model and Its Application in Morse Code
Frontiers in Neuroscience, 2022 The leaky integrate-and-fire (LIF) spiking model can successively mimic the firing patterns and information propagation of a biological neuron. It has been applied in neural networks, cognitive computing, and brain-inspired computing.
Xiaoyan Fang +3 more
doaj +1 more source
A compact aVLSI conductance-based silicon neuron
, 2015 We present an analogue Very Large Scale Integration (aVLSI) implementation that uses first-order lowpass filters to implement a conductance-based silicon neuron for high-speed neuromorphic systems.
Hamilton, Tara Julia +4 more
core +1 more source
Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration [PDF]
, 2019 To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather dif cult. This paper proposes a new framework for the fault propagation path modeling method of power systems based ...
Huang, Tao +6 more
core +2 more sources
, 2011 A simple threshold model of neuron firing (with the neuron membrane electrochemical potential governed by the chaotic Rossler attractor) has been analyzed by mapping the generated irregular spiking time-series into telegraph signals.
Bershadskii, A., Ikegaya, Y.
core +1 more source