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October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
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'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Spatiotemporal Dynamics in the Network of Memristive Morris–Lecar Neurons with Chemical Synapses

International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 2026. P. 1–19.
Seralan V., Srinivasan S., Popov V., Karthikeyan R., Anitha K.
In press

The disruption of the human brain’s resting states, which are critical for normal cognitive function and information processing, has been frequently linked to alterations in spatiotemporal coordination. Among the most prominent patterns in such excitable neural media are spiral waves, whose formation and dynamics have been extensively studied across biological and com putational contexts. In this regard, many studies have focused on electrical synapses in the spatially connected neuronal networks. In this study, we investigate the dynamics of a lattice of memristive Morris–Lecar neurons under the influence of chemical synaptic coupling. Specifi cally, we report the distinct wave patterns that emerge when the key chemical synaptic parame ters, such as firing threshold, sigmoidal slope and reversal potential, are varied. Additionally, we investigate the influence of electromagnetic induction, external current, noise effects and other factors that drive the emergence of spiral waves. We have computed the statistical synchroniza tion factor for the key parameter of the chemical synapse. We observe diverse spatiotemporal patterns; notably, the single-core spirals are prominent in the excitable media. Furthermore, these spirals frequently transition into turbulent patterns or vanish altogether. These results advance our understanding of the role of chemical synapses in neuron populations. Our results may offer novel perspectives on spiral wave mechanisms and related neurobiological research.

Research target: Mathematics Computer Science Physics
Language: English
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Keywords: Spiral waveElectromagnetic inductionexcitable mediaspatiotemporal pattern
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