Even Simpler Real-Time Model of Neuron

Leukhin, Alexey; Talanov, Max; Suleimanova, Alina; Toschev, Alexander; Lavrov, Igor

doi:10.1007/s12668-020-00721-5

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…The ESRN model is more efficient than the LIF (leaky integrate and fire) model but shows a similar low bio-plausibility level. In our comparison (Leukhin et al, 2020), ESRN and LIF fit the real-time requirement.…”

Section: Spiking Neurons and Nnsmentioning

confidence: 97%

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

Talanov¹,

Vallverdú²,

Adamatzky³

et al. 2022

Preprint

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This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic technologies including memristive and bio-plausible simulations, BCI, and neurointerfaces as well as unconventional approaches to AI and computing in general. We present the review of the current state-of-the-art and our vision of near future development of scientific approaches and future technologies. We call the "Neuropunk revolution" the set of trends that in our view provide the necessary background for the new generation of approaches technologies to integrate the cybernetic objects with biological tissues in close loop system as well as robotic systems inspired by the biological processes again integrated with biological objects. We see bio-plausible simulations implemented by digital computers or spiking networks memristive hardware as promising bridge or middleware between digital and [neuro]biological domains.

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Section: Spiking Neurons and Nnsmentioning

confidence: 97%

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

Talanov¹,

Vallverdú²,

Adamatzky³

et al. 2022

Preprint

Self Cite

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“…The applied research of the neuromorphic and neurostimulation technology in the medical domain is at an early stage of development (Mikhaylov et al, 2020), and the topology of the spinal central pattern generator (CPG) itself is still under research (Rybak et al, 2015). 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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Even Simpler Real-Time Model of Neuron

Cited by 5 publications

References 12 publications

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0

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

Neuropunk Revolution: Further Results

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