Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network

  title={Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network},
  author={Yuliya Tsybina and Innokentiy Kastalskiy and Mikhail I. Krivonosov and Alexey Zaikin and Victor B. Kazantsev and Alexander N Gorban and Susanna Yu. Gordleeva},
  journal={Neural Computing and Applications},
Modeling the neuronal processes underlying short-term working memory remains the focus of many theoretical studies in neuroscience. In this paper, we propose a mathematical model of a spiking neural network (SNN) which simulates the way a fragment of information is maintained as a robust activity pattern for several seconds and the way it completely disappears if no other stimuli are fed to the system. Such short-term memory traces are preserved due to the activation of astrocytes accompanying… 
4 Citations

Impact of Astrocytic Coverage of Synapses on the Short-Term Memory of a Computational Neuron-Astrocyte Network

A computational neuron–astrocyte model is leveraged to study the short-term memory performance subject to various astrocytic coverage and it is demonstrated that theshort- term memory is susceptible to this factor.

Controlling synchronization of gamma oscillations by astrocytic modulation in a model hippocampal neural network

It is shown that the astrocytic regulation of signal transmission between neurons improves the firing synchrony and extends the region of coherent oscillations in the biologically relevant values of synaptic conductance.

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It is discovered that astrocytes operating at a time scale of a dozen of seconds can successfully store traces of neuronal activations corresponding to information patterns, and the proposed WM model agrees with classical concepts and other WM models.

Bi-directional astrocytic regulation of neuronal activity within a network

The analysis of the neuron spiking frequency as an indicator of network activity revealed that tripartite synaptic transmission dramatically changed the local network operation compared to bipartite synapses, and the astrocytes supported homeostatic regulation of the network activity by increasing or decreasing firing of the neurons.

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It is shown that the BSTDP modulates the height of the plasticity window to establish an input–output mapping and also maintains this mapping if synaptic pathways become dysfunctional and underpins how the proposed SANN self-repairs on the fly.

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This model can reproduce human cognitive phenomena and achieve comparable memory performance in both free and cued recall while being simultaneously compatible with experimental data on structure, connectivity, and neurophysiology of the underlying cortical tissue.

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The analysis suggests that astrocytes may carry out canonical computations in a time scale of subseconds to seconds in sensory processing, neuromodulation, brain state, memory formation, fear, and complex homeostatic reflexes.

Short-Term Plasticity Explains Irregular Persistent Activity in Working Memory Tasks

It is argued that in WM the prefrontal cortex (PFC) operates in a regime of balanced excitation and inhibition and that the observed temporal irregularity reflects this regime, which requires that nonlinearities underlying the persistent activity are primarily in the neuronal interactions between PFC neurons.

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Hardware synthesis, physical implementation on FPGA, and theoretical analysis confirm that the proposed neuron astrocyte model can mimic biological behavior such as the regulation of postsynaptic neuron activity and the synaptic transmission mechanisms.

Synaptic Theory of Working Memory

It is proposed that working memory is sustained by calcium-mediated synaptic facilitation in the recurrent connections of neocortical networks by using the presynaptic residual calcium as a buffer that is loaded, refreshed, and read out by spiking activity.

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This work proposes that different mechanisms of WM can be brought forth by astrocyte-mediated modulations of synaptic transmitter release, and suggests that the emergence of different mechanisms depends on the network’s spontaneous activity and the geometry of the connections between synapses and astroCytes.

Integrated Information in the Spiking–Bursting Stochastic Model

The study aims at creating a theoretical framework for using the spiking–bursting model as an analytically tractable reference point for applying integrated information concepts to systems exhibiting similar bursting behavior.