Synchronization and metabolic energy consumption in stochastic Hodgkin-Huxley neurons: Patch size and drug blockers

Pal, K.; Ghosh, Dibakar; Gangopadhyay, Gautam

doi:10.1016/j.neucom.2020.10.006

Cited by 16 publications

(1 citation statement)

References 43 publications

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“…Recently, the synchronisation in neuronal networks in presence of both excitatory and inhibitory synapses has been observed using neuronal models (Bera et al, 2019a;Pal et al, 2021) coupled through hypernetworks (Rakshit et al, 2018a;Bera et al, 2019b) and multiplex configurations (Rakshit et al, 2018b). In cortico-cortical communication, one cortical area can interact with other one by means of excitatory and inhibitory connectivities (Roland et al, 2014;Tamioka et al, 2015;Tovete et al, 2015;D'Souza et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Emergence of Neuronal Synchronisation in Coupled Areas

Protachevicz

Hansen

Iarosz

et al. 2021

Front. Comput. Neurosci.

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One of the most fundamental questions in the field of neuroscience is the emergence of synchronous behaviour in the brain, such as phase, anti-phase, and shift-phase synchronisation. In this work, we investigate how the connectivity between brain areas can influence the phase angle and the neuronal synchronisation. To do this, we consider brain areas connected by means of excitatory and inhibitory synapses, in which the neuron dynamics is given by the adaptive exponential integrate-and-fire model. Our simulations suggest that excitatory and inhibitory connections from one area to another play a crucial role in the emergence of these types of synchronisation. Thus, in the case of unidirectional interaction, we observe that the phase angles of the neurons in the receiver area depend on the excitatory and inhibitory synapses which arrive from the sender area. Moreover, when the neurons in the sender area are synchronised, the phase angle variability of the receiver area can be reduced for some conductance values between the areas. For bidirectional interactions, we find that phase and anti-phase synchronisation can emerge due to excitatory and inhibitory connections. We also verify, for a strong inhibitory-to-excitatory interaction, the existence of silent neuronal activities, namely a large number of excitatory neurons that remain in silence for a long time.

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Section: Introductionmentioning

confidence: 99%

Emergence of Neuronal Synchronisation in Coupled Areas

Protachevicz

Hansen

Iarosz

et al. 2021

Front. Comput. Neurosci.

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Synchronization mode transitions induced by chaos in modified Morris–Lecar neural systems with weak coupling

Wang

et al. 2022

Nonlinear Dyn

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Based on a modified Morris-Lecar neural model, the synchronization modes transitions between two coupled neurons or starcoupled neural network connected by weak electrical and chemical coupling are respectively investigated. For the two coupled neurons, by increasing the calcium conductivity, it is found that the period2 synchronization of action potential of neurons is transformed to desynchronization first, and then to period3 synchronization. By increasing the potassium conductivity, however, the synchronization mode transition is a reversal direction process as mentioned above. The bifurcation analysis of interspike interval shows that the synchronization modes transition is induced by the chaos. The stronger the coupling strength is, the smaller the period2 synchronization region in the parameters plane is, while the larger the period3 synchronization region will be. For the starcoupled neural network, in the presence of weak electrical coupling, it can exhibit the complete synchronization, desynchronization, and drum head mode states under different parameter values, respectively. In the presence of chemical synapse, however, the completely synchronized state can not be observed in the starcoupled neural network. Our results might provide novel insights into synchronization modes transition and related biological experiments.

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Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction

Liu²,

Ding³

et al. 2022

Cogn Neurodyn

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Synchronization and metabolic energy consumption in stochastic Hodgkin-Huxley neurons: Patch size and drug blockers

Cited by 16 publications

References 43 publications

Emergence of Neuronal Synchronisation in Coupled Areas

Emergence of Neuronal Synchronisation in Coupled Areas

Synchronization mode transitions induced by chaos in modified Morris–Lecar neural systems with weak coupling

Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction

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