Neurointerface implemented with Oscillator Motifs

Talanov, Max; Suleimanova, Alina; Leukhin, Alexey; Mikhailova, Yulia; Toschev, Alexander; Militskova, Alena; Lavrov, Igor; Magid, Evgeni

doi:10.1109/iros51168.2021.9636089

Cited by 8 publications

(10 citation statements)

References 28 publications

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“…More than that, attempts to compensate for spastic syndrome led to several devices developments [18], [19]. In this work we used the previously proposed approach for the neurointerface [14] using Oscillator Motifs to generate bio-plausible neural activity [20].…”

Section: A the Study Setupmentioning

confidence: 99%

“…1b. The hardware devices to stimulate muscle or nerve are neuroports where software that implements a spiking neural network is a neuroterminal [14]. The one-board computer generates the neuronal activity in real-time simulation.…”

Section: A the Study Setupmentioning

confidence: 99%

“…We used the neuronal circuit with 3 OMs (Fig. 2b) for the stimulation since previously we have indicated that the 3 OMs circuit is most comfortable for the participating volunteer [14]. This circuit was activated by stimulus with 40 Hz frequency.…”

Section: A the Study Setupmentioning

confidence: 99%

“…In this work we use our presented earlier approach of the neurointerface [14] to compensate for the spastic syndrome. We used the bio-plausible pattern generated with the set of with oscillator motifs (OMs) to trigger the antagonist (to spasticial muscle) nerve that stimulates the inhibitory projection of agonist (spastical) muscle Ia nuclei to test the hypothesis of effective inhibition of neuronal activity thus muscle activity.…”

Section: Introductionmentioning

confidence: 99%

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Neurointerface with Oscillator Motifs for inhibitory effect over antagonist muscles for compensation of spastical syndrome

Mikhaïlova

Pozdeeva

Suleimanova

et al. 2022

Preprint

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The inhibitory management effect is usually un- derestimated in artificial control systems, using biological anal- ogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio plausible patterns. We proposed the approach for the compensatory stimulation device in development of previously presented archi- tecture of neurointerface, where (1) neuroport is implemented as DAC and stimulator, (2) neuroterminal – as neurosimulation of a set of oscillator motifs on one-board computer. In the set of experiments with 5 volunteers we measured the efficacy of motor neuron inhibition via antagonist muscle or nerve stim- ulation registering muscle force with and without antagonist stimulation. For the agonist activation, we used both voluntary activity and electrical stimulation. In the case of stimulation of both agonist and antagonist muscles and nerves, we exper- imented with delays between muscles stimulation starts in the range 0...20 ms. We registered the subjective discomfort rate. We didn’t identify a significant difference between antagonist muscle and nerve stimulation in both voluntary and stimulation of agonist activity. We determined the most effective delay between stimulation of agonist and antagonist muscle/nerve as 10–20 ms.

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Section: A the Study Setupmentioning

confidence: 99%

Section: A the Study Setupmentioning

confidence: 99%

Section: A the Study Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neurointerface with Oscillator Motifs for inhibitory effect over antagonist muscles for compensation of spastical syndrome

Mikhaïlova

Pozdeeva

Suleimanova

et al. 2022

Preprint

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“…Recently, we published works introducing a computational bio-compatible approach incorporating Oscillator Motif (OM)-the basic neuronal generator (Leukhin et al, 2020;Talanov et al, 2020). Later, we extended the use of OMs for the neurointerfaces (Talanov et al, 2021) and spasticity compensating devices (Mikhailova et al, 2022).…”

mentioning

confidence: 99%

Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern

Masaev

Suleimanova²,

Прудников³

et al. 2023

Front. Neurosci.

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Existing methods of neurorehabilitation include invasive or non-invasive stimulators that are usually simple digital generators with manually set parameters like pulse width, period, burst duration, and frequency of stimulation series. An obvious lack of adaptation capability of stimulators, as well as poor biocompatibility and high power consumption of prosthetic devices, highlights the need for medical usage of neuromorphic systems including memristive devices. The latter are electrical devices providing a wide range of complex synaptic functionality within a single element. In this study, we propose the memristive schematic capable of self-learning according to bio-plausible spike-timing-dependant plasticity to organize the electrical activity of the walking pattern generated by the central pattern generator.

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Neuropunk Revolution: Further Results

Talanov

2024

Studies in Computational Intelligence

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Neurointerface implemented with Oscillator Motifs

Cited by 8 publications

References 28 publications

Neurointerface with Oscillator Motifs for inhibitory effect over antagonist muscles for compensation of spastical syndrome

Neurointerface with Oscillator Motifs for inhibitory effect over antagonist muscles for compensation of spastical syndrome

Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern

Neuropunk Revolution: Further Results

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