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   Articles with "neuron models" as a keyword



Pulse-frequency-dependent resonance in a population of pyramidal neuron models.

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recommendations! Published in 2022 at "Biological cybernetics"

DOI: 10.1007/s00422-022-00925-w

Abstract: Stochastic resonance is known as a phenomenon whereby information transmission of weak signal or subthreshold stimuli can be enhanced by additive random noise with a suitable intensity. Another phenomenon induced by applying deterministic pulsatile electric… read more here.

Keywords: neuron models; resonance; frequency; pulse frequency ... See more keywords

P090 Excitation mechanisms of TMS on cortical neuron models

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recommendations! Published in 2017 at "Clinical Neurophysiology"

DOI: 10.1016/j.clinph.2016.10.215

Abstract: Introduction Transcranial Magnetic Stimulation (TMS) is a non-invasive method for neuromodulation, with a range of clinical and research applications including the treatment of depression and functional brain mapping. TMS works by generating a time-varying magnetic… read more here.

Keywords: field; p090 excitation; neuron models; mechanisms tms ... See more keywords

Discrete neuron models and memristive neural network mapping: A comprehensive review

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recommendations! Published in 2025 at "Chinese Physics B"

DOI: 10.1088/1674-1056/ae0a3b

Abstract: In recent years, discrete neuron and discrete neural network models have played an important role in the development of neural dynamics. This paper reviews the theoretical advantages of well-known discrete neuron models, some existing discretized… read more here.

Keywords: neuron models; neural network; neural networks; discrete neuron ... See more keywords

Biophysically realistic neuron models for simulation of cortical stimulation.

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recommendations! Published in 2018 at "Journal of neural engineering"

DOI: 10.1088/1741-2552/aadbb1

Abstract: OBJECTIVE We implemented computational models of human and rat cortical neurons for simulating the neural response to cortical stimulation with electromagnetic fields. APPROACH We adapted model neurons from the library of Blue Brain models to… read more here.

Keywords: stimulation; biophysically realistic; neuron models; cortical stimulation ... See more keywords

Comparison of Genomic Best Linear Unbiased Prediction and Bayesian Regularization Neural Networks for Genomic Selection

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2922006

Abstract: This study assessed the predictive ability of genomic best linear unbiased prediction (GBLUP) and Bayesian regularization for feed-forward neural networks (BRNN-s1-s3-neuron) with one to three neurons using genomic relationship based on single nucleotide polymorphisms markers.… read more here.

Keywords: genomic best; best linear; neuron models; brnn ... See more keywords

Neural Information Processing and Computations of Two-Input Synapses

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recommendations! Published in 2022 at "Neural Computation"

DOI: 10.1162/neco_a_01534

Abstract: Abstract Information processing in artificial neural networks is largely dependent on the nature of neuron models. While commonly used models are designed for linear integration of synaptic inputs, accumulating experimental evidence suggests that biological neurons… read more here.

Keywords: information processing; two input; information; neuron models ... See more keywords

Constructing functional models from biophysically-detailed neurons

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recommendations! Published in 2022 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1010461

Abstract: Improving biological plausibility and functional capacity are two important goals for brain models that connect low-level neural details to high-level behavioral phenomena. We develop a method called “oracle-supervised Neural Engineering Framework” (osNEF) to train biologically-detailed… read more here.

Keywords: functional models; neuron models; models biophysically; constructing functional ... See more keywords

Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms

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recommendations! Published in 2022 at "Frontiers in Neuroinformatics"

DOI: 10.3389/fninf.2022.771730

Abstract: The automatic fitting of spiking neuron models to experimental data is a challenging problem. The integrate and fire model and Hodgkin–Huxley (HH) models represent the two complexity extremes of spiking neural models. Between these two… read more here.

Keywords: spiking neuron; problem; neuron models; algorithms ... See more keywords

Beyond LIF Neurons on Neuromorphic Hardware

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recommendations! Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.881598

Abstract: Neuromorphic systems aim to provide accelerated low-power simulation of Spiking Neural Networks (SNNs), typically featuring simple and efficient neuron models such as the Leaky Integrate-and-Fire (LIF) model. Biologically plausible neuron models developed by neuroscientists are… read more here.

Keywords: neuron; hardware; neuromorphic hardware; neuron models ... See more keywords

Impact of Cultured Neuron Models on α-Herpesvirus Latency Research

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recommendations! Published in 2022 at "Viruses"

DOI: 10.3390/v14061209

Abstract: A signature trait of neurotropic α-herpesviruses (α-HV) is their ability to establish stable non-productive infections of peripheral neurons termed latency. This specialized gene expression program is the foundation of an evolutionarily successful strategy to ensure… read more here.

Keywords: reactivation; neuron models; cultured neuron; latency ... See more keywords

A Raspberry Pi-based Hardware Implementation of Various Neuron Models

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recommendations! Published in 2024 at "Elektronika ir Elektrotechnika"

DOI: 10.5755/j02.eie.38201

Abstract: The implementation of biological neuron models plays an important role in understanding the functionality of the brain. Generally, analog and digital methods are preferred during implementation processes. The Raspberry Pi (RPi) microcontroller has the potential… read more here.

Keywords: hardware implementation; raspberry based; neuron models; based hardware ... See more keywords