An investigation on neuroglial interaction effect on Izhikevich neuron behaviour

Haghiri, Saeed; Ahmadi, Majid; Nouri, Moslem; Heidarpur, Moslem

doi:10.1109/iraniancee.2014.6999509

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…Considering a tripartite synapse, namely a synapse involving two neurons and an astrocyte, when the presynaptic neuron fires it induces the release of neurotransmitter, such as glutamate, in the synaptic cleft. The glutamate binding to astrocyte receptors triggers astrocyte activity, by increasing 1,4,5-trisphosphate (IP3) intracellular concentration [19], [28]. As a consequence, IP3 binds the receptors placed on the astrocyte endoplasmic reticulum (ER), and Ca 2+ is realised from ER to the cytoplasm.…”

Section: Neuro-astrocyte Logic Gates a Neuro-astrocyte Modelmentioning

confidence: 99%

“…We consider the tripartite synapse model defined by Postnov et al [21] coupled with the Izhikevich model, as proposed in [28]. Defining the state variables z as the synaptic activation variable [31], I syn as the synaptic current, and I glion as the astrocyte-induced current, the synaptic coupling is described by the following equations:…”

Section: Neuro-astrocyte Logic Gates a Neuro-astrocyte Modelmentioning

confidence: 99%

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Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating With Spike Pattern Diversity

Basso

Barros

2023

IEEE Trans.on Nanobioscience

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Biocomputing technologies exploit biological communication mechanisms involving cell-cell signal propagation to perform computations. Researchers recently worked toward realising logic gates made by neurons to develop novel devices such as organic neuroprostheses or brain implants made by cells, herein termed living implants. Several challenges arise from this approach, mainly associated with the stochastic nature and noise of neuronal communication. Since astrocytes play a crucial role in the regulation of neurons activity, there is a possibility whereby astrocytes can be engineered to control synapses favouring reliable biocomputing. This work proposes a mathematical model of neuronal logic gates involving neurons and astrocytes, realising OR and AND gating. We use a shallow coupling of both the Izhikevich and Postnov models to characterise gating responses with spike pattern variability and astrocyte synaptic regulation. Logic operation error ratio and accuracy assess the AND and OR gates' performances at different synaptic Gaussian noise levels. Our results demonstrate that the astrocyte regulating activity can effectively be used as a denoising mechanism, paving the way for highly reliable biocomputing implementations.

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Section: Neuro-astrocyte Logic Gates a Neuro-astrocyte Modelmentioning

confidence: 99%

Section: Neuro-astrocyte Logic Gates a Neuro-astrocyte Modelmentioning

confidence: 99%

Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating With Spike Pattern Diversity

Basso

Barros

2023

IEEE Trans.on Nanobioscience

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“…For example, some existing models are not presenting a linear I–V curve in astrocytes [ 30 , 31 ]. As a result, astrocytes spike in the model proposed by Haghiri et al [ 32 ]. Other models focus on the tripartite synapse and are not capturing the intercellular characteristics of astrocytes [ 24 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks

Sajedinia

Hélie

2018

Computational Intelligence and Neuroscience

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Recent studies in neuroscience show that astrocytes alongside neurons participate in modulating synapses. It led to the new concept of “tripartite synapse”, which means that a synapse consists of three parts: presynaptic neuron, postsynaptic neuron, and neighboring astrocytes. However, it is still unclear what role is played by the astrocytes in the tripartite synapse. Detailed biocomputational modeling may help generate testable hypotheses. In this article, we aim to study the role of astrocytes in synaptic plasticity by exploring whether tripartite synapses are capable of improving the performance of a neural network. To achieve this goal, we developed a computational model of astrocytes based on the Izhikevich simple model of neurons. Next, two neural networks were implemented. The first network was only composed of neurons and had standard bipartite synapses. The second network included both neurons and astrocytes and had tripartite synapses. We used reinforcement learning and tested the networks on categorizing random stimuli. The results show that tripartite synapses are able to improve the performance of a neural network and lead to higher accuracy in a classification task. However, the bipartite network was more robust to noise. This research provides computational evidence to begin elucidating the possible beneficial role of astrocytes in synaptic plasticity and performance of a neural network.

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Simulating Cognitive Deficits in Parkinson’s Disease

Hélie

Sajedinia

2019

Springer Series in Cognitive and Neural Systems

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An investigation on neuroglial interaction effect on Izhikevich neuron behaviour

Cited by 11 publications

References 16 publications

Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating With Spike Pattern Diversity

Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating With Spike Pattern Diversity

A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks

Simulating Cognitive Deficits in Parkinson’s Disease

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