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Published in 2018 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2017.10.008
Abstract: We investigate an integrate and fire model for two cardiomyocytes interacting with each other. A feature of the model is to incorporate the refractory periods of the cardiomyocytes as well as the influence of firing…
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Keywords:
refractory periods;
fire model;
model;
two cardiomyocytes ... See more keywords
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Published in 2018 at "Journal of Applied Physics"
DOI: 10.1063/1.5042756
Abstract: A major challenge in the field of neurocomputing is to mimic the brain's behavior by implementing artificial synapses and neurons directly in hardware. Toward that purpose, many researchers are exploring the potential of new materials…
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Keywords:
mott;
fire lif;
leaky integrate;
lif artificial ... See more keywords
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Published in 2019 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2019.0246
Abstract: In order to understand how olfactory stimuli are encoded and processed in the brain, it is important to build a computational model for olfactory receptor neurons (ORNs). Here, we present a simple and reliable mathematical…
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Keywords:
olfactory receptor;
model;
model reproduces;
integrate fire ... See more keywords
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Published in 2019 at "Physical Review E"
DOI: 10.1103/physreve.100.052211
Abstract: We consider the effect of small independent local noise on a network of quadratic integrate-and-fire neurons, globally coupled via synaptic pulses of finite width. The Fokker-Planck equation for a network of infinite size is reduced…
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Keywords:
network;
oscillations network;
fire neurons;
integrate fire ... See more keywords
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Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.96.042212
Abstract: We analyze the dynamics of two coupled identical populations of quadratic integrate-and-fire neurons, which represent the canonical model for class I neurons near the spiking threshold. The populations are heterogeneous; they include both inherently spiking…
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Keywords:
populations quadratic;
fire neurons;
quadratic integrate;
integrate fire ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3281502
Abstract: In this study, a compact CMOS integrate-and-fire (I&F) neuron circuit embedding an operational transconductance amplifier (OTA) has been designed for enhancing the fidelity in output generation. The OTA block in the neuron circuit allows for…
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Keywords:
circuit;
fidelity;
integrate fire;
fire neuron ... See more keywords
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Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/isit.2014.6875041
Abstract: The connectivity structure between neurons is useful for determining how groups of neurons perform tasks. Directed information is a measure that can be used to infer connectivity between neurons using their recorded time series. In…
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Keywords:
information;
spike train;
leaky integrate;
model ... See more keywords
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Published in 2019 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2018.2882164
Abstract: Although an average human brain might not be able to compete with modern day computers in performing arithmetic operations, when it comes to recognition and classification tasks, biological systems are clear winners in terms of…
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Keywords:
integrate fire;
leaky integrate;
neuron using;
automotion ... See more keywords
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Published in 2018 at "eNeuro"
DOI: 10.1523/eneuro.0112-18.2018
Abstract: Abstract Modeling is a useful tool for investigating various biophysical characteristics of neurons. Recent simulation studies of propagating action potentials (spike conduction) along axons include the investigation of neuronal activity evoked by electrical stimulation from…
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Keywords:
spike conduction;
fire model;
model;
integrate fire ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.857513
Abstract: Spiking neural networks (SNNs) are brain-inspired machine learning algorithms with merits such as biological plausibility and unsupervised learning capability. Previous works have shown that converting Artificial Neural Networks (ANNs) into SNNs is a practical and…
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Keywords:
linear leaky;
neural networks;
integrate fire;
spiking neural ... See more keywords