Computational neuroscience
Dynamic neural modeling for patient-specific recovery trajectories.
Scientific Foundation
Research-led neural digital twin development
NeuroTwin is grounded in computational neuroscience, neuromorphic computing, synaptic plasticity research, and clinical rehabilitation collaboration.
Research areas
Post-stroke rehabilitation modeling
Motor recovery prediction, trajectory assessment, and risk identification.
Neuromorphic computing
Event-driven, memory-compute-oriented architectures for scalable neural simulation.
Organic memristive devices
Synapse-like adaptive devices for bio-inspired learning and memory-like behavior.
Neurointerfaces and future prosthetic directions
Long-term research into adaptive interfaces between biological and artificial neural systems.
Selected references
Critical Analysis of Energy Consumption in Neuro-Computational Systems
Ivan Kipelkin, Ilija Kamenko, Jovan Ivošević, Alina Fedorova, Grigory Zharkov, Jovana Maricic, Stojanka Bratic, Nebojša Pilipović, Natasa Samardzic, Staniša Dautović, Milovan Medojević, Branimir Bajac, Jordi Vallverdú, Dragiša Žunić, Francesco Restuccia, Vincenzo Alessio, Francesco Longo, Giovanni Merlino, Dario Bruneo, Salvatore Distefano, Alexander Toschev, Alexey Mikhaylov, Victor Erokhin, Max Talanov
IEEE Access, 2026
A unified benchmark of energy consumption per synaptic event across GPUs, NPUs, FPGAs, digital spiking processors, memristive devices, and biological reference ranges.
Read the articleMemristive Devices for Neuromorphic Applications: Comparative Analysis
Victor Erokhin
BioNanoScience, 2020
A comparative review of organic and inorganic memristive devices for neuromorphic applications, including memory-processing integration, sensors, oscillators, bio-mimicking circuits, and living-system coupling.
Read the articleMaterial Memristive Device Circuits with Synaptic Plasticity: Learning and Memory
Victor Erokhin, Tatiana Berzina, Paolo Camorani, Anteo Smerieri, Dimitris Vavoulis, Jianfeng Feng, Marco P. Fontana
BioNanoScience, 2011
An experimental demonstration of organic memristive device circuits showing adaptive behavior inspired by synaptic plasticity and learning in a biological neural reference system.
Read the articleEuropean brain research ecosystem
Our research direction is aligned with the broader European brain research ecosystem, including EBRAINS, which provides data, tools, models, and services for brain-related research.
Interested in validating patient-specific neural digital twins in rehabilitation?
We are inviting neurorehabilitation clinics and research partners to explore retrospective and prospective collaboration opportunities.