The performance of conventional computer based on von Neumann architecture is limited
due to the physical separation of memory and processor. By synergistically integrating …

Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …

Electronic synaptic devices are important building blocks for neuromorphic computational
systems that can go beyond the constraints of von Neumann architecture. Although two …

We fabricated a nanowire-channel intrinsically stretchable neuromorphic transistor (NISNT)
that perceives both tactile and visual information and emulates neuromorphic processing …

Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …

Synapses are essential to the transmission of nervous signals. Synaptic plasticity allows
changes in synaptic strength that make a brain capable of learning from experience. During …

Memristive devices are among the most emerging electronic elements to realize artificial
synapses for neuromorphic computing (NC) applications and have potential to replace the …

The ability of the brain to store and process information relies on changing the strength of
connections between neurons. Synaptic facilitation is a form of short-term plasticity that …

Emulation of biological synapses is an important step toward construction of large-scale
brain-inspired electronics. Despite remarkable progress in emulating synaptic functions …

Biological synapses store and process information simultaneously by tuning the connection
between two neighboring neurons. Such functionality inspires the task of hardware …