An investigation on neuron–astrocyte interaction system: network behavior and synchronization

Haghiri, Saeed; Ahmadi, Arash

doi:10.1007/s10470-020-01735-5

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…( 2016 ) Network 1 & 2: EE(0–1): Network 1: EA(1–4); Network 2: EA(1–2): , Network 1 & 2: AE(1): , , , Network 2: AA(1–2): n/a Haghiri et al. ( 2017 ) Network 1: EE(0–1); Network 2: EE: Network 1: EA(1–2); Network 2: EA(0–2): , Network 1 & 2: AE(1): , , , , None Haghiri and Ahmadi ( 2020 ) EE: EA(1): , AE(1): , , , None Hayati et al. ( 2016 ) EE(0–1): EA(1–4): , AE(2): , , , AA: n/a Kanakov et al.…”

Section: Discussionmentioning

confidence: 97%

“…( 2016 ) HW Generic 2–100 E 1–90 Sync., HW Haghiri et al. ( 2017 ) HW Generic 2–1,000 E 1–500 Sync., HW Haghiri and Ahmadi ( 2020 ) n/a Generic 1,000 E 500 Sync. Hayati et al.…”

Section: Discussionmentioning

confidence: 99%

“…( 2017 ) Network 1: All cells/E/A: 1D, array; Network 2: All cells/E/A: 2D, random placement AA: none; Network 1: EE: one-to-one; EA/AE: explicitly defined; Network 2: EE/EA/AE: random Global: Network 1: feed-forward; Network 2: recurrent. Local: EA(AE): recurrent; AA: none; Network 1: EE: feed-forward; Network 2: EE: recurrent Haghiri and Ahmadi ( 2020 ) All cells/E/A: 2D, multilayer AA:none; Between layers: EE: random; Within layers: EE/EA: one-to-one; AE: explicitly defined Global: feed-forward. Local: EE: feed-forward; EA(AE): recurrent; AA: none Hayati et al.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of Network Models with Neuron-Astrocyte Interactions

2023

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Neural networks, composed of many neurons and governed by complex interactions between them, are a widely accepted formalism for modeling and exploring global dynamics and emergent properties in brain systems. In the past decades, experimental evidence of computationally relevant neuron-astrocyte interactions, as well as the astrocytic modulation of global neural dynamics, have accumulated. These findings motivated advances in computational glioscience and inspired several models integrating mechanisms of neuron-astrocyte interactions into the standard neural network formalism. These models were developed to study, for example, synchronization, information transfer, synaptic plasticity, and hyperexcitability, as well as classification tasks and hardware implementations. We here focus on network models of at least two neurons interacting bidirectionally with at least two astrocytes that include explicitly modeled astrocytic calcium dynamics. In this study, we analyze the evolution of these models and the biophysical, biochemical, cellular, and network mechanisms used to construct them. Based on our analysis, we propose how to systematically describe and categorize interaction schemes between cells in neuron-astrocyte networks. We additionally study the models in view of the existing experimental data and present future perspectives. Our analysis is an important first step towards understanding astrocytic contribution to brain functions. However, more advances are needed to collect comprehensive data about astrocyte morphology and physiology in vivo and to better integrate them in data-driven computational models. Broadening the discussion about theoretical approaches and expanding the computational tools is necessary to better understand astrocytes’ roles in brain functions.

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Section: Discussionmentioning

confidence: 97%

“…( 2016 ) HW Generic 2–100 E 1–90 Sync., HW Haghiri et al. ( 2017 ) HW Generic 2–1,000 E 1–500 Sync., HW Haghiri and Ahmadi ( 2020 ) n/a Generic 1,000 E 500 Sync. Hayati et al.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Analysis of Network Models with Neuron-Astrocyte Interactions

2023

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“…In addition to brain neurons, equations describing the behavior of other organs have also been implemented on FPGA [29]- [30]. Also FPGA board has been used in various cases such as realization of a pseudo-random number generator, implementation of a memcapacitor, and investigation on neuron-astrocyte interaction system [31]- [33].…”

Section: Introductionmentioning

confidence: 99%

Sinoatrial Node Cells Implementation by Low Cost Digital Hardware

Naderi,

Ghanbarpour,

Ghanbarpour

et al. 2024

Preprint

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In mammalian hearts, the Sinoatrial (SA) node cells act as the fundamental pacemaker location. The intricate patterns of SA node activity can be elucidated by a series of differential equations featuring non-linear functions. This study presents a novel approach to improve the digital representation of the SA node cell model. The results consist of reduced hardware requirements, enhanced speed and accuracy, and lowered implementation costs. The proposed method involves converting the non-linear functions found in the original model into exponential functions represented as $2^x$. This conversion gives rise to a set of mathematical equations that eliminate the need for multipliers. These equations are subsequently refined by minimizing the number of $2^x$ terms, leading to a more effective emulation of the SA model's biological characteristics. To validate the concept, the suggested model is successfully synthesized and implemented on an FPGA. The implementation outcomes demonstrate a substantial enhancement in operating frequency, showing a 3.4-fold increase compared to the original model. Moreover, there is a noticeable 47\% reduction in power consumption. The reduced hardware requirements also enable running a significantly larger number of neurons, precisely 12 times more, on a single FPGA board compared to the original model.

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Astrocyte mediated firing activities and synchronization in a heterogeneous neuronal network

Chen,

2024

Chaos, Solitons & Fractals

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An investigation on neuron–astrocyte interaction system: network behavior and synchronization

Cited by 4 publications

References 19 publications

Analysis of Network Models with Neuron-Astrocyte Interactions

Analysis of Network Models with Neuron-Astrocyte Interactions

Sinoatrial Node Cells Implementation by Low Cost Digital Hardware

Astrocyte mediated firing activities and synchronization in a heterogeneous neuronal network

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