Synchronization in STDP-driven memristive neural networks with time-varying topology

• Published in: Journal of biological physics Vol. 49; no. 4; pp. 483 - 507
• Main Authors: Yamakou, Marius E., Desroches, Mathieu, Rodrigues, Serafim
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2023; Springer Nature B.V; Springer Verlag
• Subjects: Biochemistry; Biological and Medical Physics; Biophysics; Brain - physiology; Complex Fluids and Microfluidics; Complex Systems; Firing pattern; Homeostatic plasticity; Information processing; Life Sciences; Models, Neurological; Neural networks; Neural Networks, Computer; Neuronal Plasticity - physiology; Neurons - physiology; Neurons and Cognition; Neurosciences; Physics; Physics and Astronomy; Soft and Granular Matter; Synapses; Synapses - physiology; Synaptic strength; Synchronization; Memristive neurons; Structural plasticity; STDP; Synchronization; Neural networks; Information processing

Synchronization is a widespread phenomenon in the brain. Despite numerous studies, the specific parameter configurations of the synaptic network structure and learning rules needed to achieve robust and enduring synchronization in neurons driven by spike-timing-dependent plasticity (STDP) and tempor...