https://doi.org/10.1140/epjs/s11734-024-01342-9
Regular Article
Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application
1
School of Advanced Sciences, VIT-AP University, Amaravati, Andhra Pradesh, India
2
MLR Institute of Technology, Hyderabad, Telangana, India
Received:
6
August
2024
Accepted:
16
September
2024
Published online:
26
September
2024
In this study to repeal the potential of the non-linear memristor, a novel type II non-linear memristor is proposed. First, this memristor is utilized as an autapse in a Hindmarsh–Rose (HR) neural model. Here, the memristive neural system exhibits several discharge oscillations and transient chaotic behaviour for variation of external current stimuli. Secondly, the memristor is utilized as a synaptic coupling in a bi-HR neural network presenting bioelectric signal propagation between two neurons. The phase synchronization and corresponding energy evolution of the coupled neurons are explored under different parametric conditions. Time waveform of membrane potential, Hamiltonian energy, phase difference, Hamiltonian energy error, and synchronization factor are studied to display neuronal behaviours of the magnetic field coupled neural models. This study confirms the significance of Hamiltonian energy for neuronal synchronization. Finally, the proposed memristor-based crossbar array is utilized as a kernel of convolutional neural network (CNN) for application in image recognition. The simulation results depict 99.12% accuracy on the Modified National Institute of Standards and Technology (MNIST) handwritten digit dataset.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
