Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …

Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

Brain-inspired neuromorphic computing emulates the biological functions of the human
brain to achieve highly intensive data processing with low power consumption. In particular …

Developing devices with a wide-temperature range persistent photoconductivity (PPC) and
ultra-low power consumption remains a significant challenge for optical synaptic devices …

Conventional computing based on von Neumann architecture cannot satisfy the demands of
artificial intelligence (AI) applications anymore. Neuromorphic computing, emulating …

Here, various synaptic functions and neural network simulation based pattern-recognition
using novel, solution-processed organic memtransistors (mem Ts) with an unconventional …

The coming of the big-data era brought a need for power-efficient computing that cannot be
realized in the Von Neumann architecture. Neuromorphic computing which is motivated by …

Synaptic transistors require sufficient retention (memory) performances of current signals to
exactly mimic biological synapses. Ion migration has been proposed to achieve high …

Facing the explosive growth of data, a number of new micro-nano devices with simple
structure, low power consumption, and size scalability have emerged in recent years, such …

Synaptic transistors have been proposed to implement neuron activation functions of neural
networks (NNs). While promising to enable compact, fast, inexpensive, and energy-efficient …