[HTML][HTML] Brain-inspired computing needs a master plan

A Mehonic, AJ Kenyon - Nature, 2022 - nature.com
New computing technologies inspired by the brain promise fundamentally different ways to
process information with extreme energy efficiency and the ability to handle the avalanche of …

[HTML][HTML] Advances of RRAM devices: Resistive switching mechanisms, materials and bionic synaptic application

Z Shen, C Zhao, Y Qi, W Xu, Y Liu, IZ Mitrovic, L Yang… - Nanomaterials, 2020 - mdpi.com
Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …

[HTML][HTML] 2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

[HTML][HTML] An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing

T Sarkar, K Lieberth, A Pavlou, T Frank… - Nature …, 2022 - nature.com
The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …

A biohybrid synapse with neurotransmitter-mediated plasticity

ST Keene, C Lubrano, S Kazemzadeh, A Melianas… - Nature Materials, 2020 - nature.com
Brain-inspired computing paradigms have led to substantial advances in the automation of
visual and linguistic tasks by emulating the distributed information processing of biological …

[HTML][HTML] Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics

H Wei, R Shi, L Sun, H Yu, J Gong, C Liu, Z Xu… - Nature …, 2021 - nature.com
A graphdiyne-based artificial synapse (GAS), exhibiting intrinsic short-term plasticity, has
been proposed to mimic biological signal transmission behavior. The impulse response of …

[HTML][HTML] Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing

KC Kwon, JH Baek, K Hong, SY Kim, HW Jang - Nano-Micro Letters, 2022 - Springer
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …

BiCoSS: toward large-scale cognition brain with multigranular neuromorphic architecture

S Yang, J Wang, X Hao, H Li, X Wei… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
The further exploration of the neural mechanisms underlying the biological activities of the
human brain depends on the development of large-scale spiking neural networks (SNNs) …

Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges

S Chen, T Zhang, S Tappertzhofen, Y Yang… - Advanced …, 2023 - Wiley Online Library
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

A memristive neuron and its adaptability to external electric field

F Yang, Y Xu, J Ma - Chaos: An Interdisciplinary Journal of Nonlinear …, 2023 - pubs.aip.org
Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …