Artificial Neuron Devices

Abstract

Efforts to design devices emulating complex cognitive abilities and response processes of biological systems have long been a coveted goal. Recent advancements in flexible electronics, mirroring human tissue’s mechanical properties, hold significant promise. Artificial neuron devices, hinging on flexible artificial synapses, bioinspired sensors, and actuators, are meticulously engineered to mimic the biological systems. However, this field is in its infancy, requiring substantial groundwork to achieve autonomous systems with intelligent feedback, adaptability, and tangible problem-solving capabilities. This review provides a comprehensive overview of recent advancements in artificial neuron devices. It starts with fundamental principles of artificial synaptic devices and explores artificial sensory systems, integrating artificial synapses and bioinspired sensors to replicate all five human senses. A systematic presentation of artificial nervous systems follows, designed to emulate fundamental human nervous system functions. The review also discusses potential applications and outlines existing challenges, offering insights into future prospects. We aim for this review to illuminate the burgeoning field of artificial neuron devices, inspiring further innovation in this captivating area of research.

Skin‐Inspired Multi‐Modal Mechanoreceptors for Dynamic Haptic Exploration

“…Electronic skin has emerged as a pivotal component for the perception and sophisticated applications of robotics, such as prosthetics, surgical robots, advanced manufacturing, and autonomous environmental exploration. [1][2][3][4][5][6][7][8][9] Over the years, myriads of tactile sensors have been proposed for robots based on capacitive, [10,11] piezoresistive, [12,13] optical, [14,15] magnetic, [16] ionic, [17] and other sensing mechanisms. [4] These tactile sensors have been successfully proven beneficial for robots by providing feedback signals to them for object recognition and manipulation.…”

An organized view of reservoir computing: a perspective on theory and technology development

“…There are, however, many successful constructs mimicking neutrons and synapses, and processes like sensory integration and nociception. [47][48][49][50][51][52][53][54][55] Physical neuromorphic computing is slowly coming into reality. 56,57) Furthermore, RC seems to be a perfect tool to understand the relation between the connectome (the connectivity map between all neurons in the nervous system) and the cognitive abilities of the neural system.…”

An Enhanced Synaptic Plasticity of Electrolyte-Gated Transistors through the Tungsten Doping of an Oxide Semiconductor

“…The electrolyte-gated transistor has been a promising candidate for neuromorphic computing due to its ability to simulate various synaptic behaviors, including short-term plasticity and long-term plasticity [1,2]. Under the stimulation of the gate bias, the ions can be adsorbed at the interface between the electrolyte and semiconductor causing the variation in channel conductance.…”