As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …

Synchronization plays a key role in learning and memory by facilitating the communication
between neurons promoted by synaptic plasticity. Spike-timing-dependent plasticity (STDP) …

Introduction Neural interactions in the brain are affected by transmission delays which may
critically alter signal propagation across different brain regions in both normal and …

Enhancing the thermoelectric performance in engineered graphene nanoribbons is used to
produce thermoelectric nanodevices, which are important in many applications. By using a …

Synchronization is a key feature of the brain dynamics and is necessary for information
transmission across brain regions and in higher brain functions like cognition, learning and …

Nonvolatile resistive switching based memristor and memtransistor devices have emerged
as a leading platform in neuromorphic computing. In this work, we have fabricated a …

Parkinson's disease (PD) is a neurodegenerative brain disorder associated with dysfunction
of the basal ganglia (BG) circuitry. Dopamine (DA) depletion in experimental PD models …

The thermoelectric properties of zigzag graphene nanoribbons (ZGNRs) are sensitive to
chemical modification. In this study, we employed density functional theory (DFT) combined …

Synaptic plasticity can greatly affect the firing behavior of neural networks, and it specifically
refers to changes in the strength, morphology, and function of synaptic connections. In this …