[HTML][HTML] Eligibility traces and plasticity on behavioral time scales: experimental support of neohebbian three-factor learning rules

W Gerstner, M Lehmann, V Liakoni… - Frontiers in neural …, 2018 - frontiersin.org
Most elementary behaviors such as moving the arm to grasp an object or walking into the
next room to explore a museum evolve on the time scale of seconds; in contrast, neuronal …

Synaptic electronics: materials, devices and applications

D Kuzum, S Yu, HSP Wong - Nanotechnology, 2013 - iopscience.iop.org
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Based Memristor for Low‐Power Neuromorphic Computing

X Yan, Q Zhao, AP Chen, J Zhao, Z Zhou, J Wang… - Small, 2019 - Wiley Online Library
Memristors with nonvolatile memory characteristics have been expected to open a new era
for neuromorphic computing and digital logic. However, existing memristor devices based …

[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Ultrafast and Low-Power 2D Bi2O2Se Memristors for Neuromorphic Computing Applications

Z Dong, Q Hua, J Xi, Y Shi, T Huang, X Dai, J Niu… - Nano Letters, 2023 - ACS Publications
Memristors that emulate synaptic plasticity are building blocks for opening a new era of
energy-efficient neuromorphic computing architecture, which will overcome the limitation of …

Exploring low power and ultrafast memristor on p-type van der Waals SnS

XF Lu, Y Zhang, N Wang, S Luo, K Peng, L Wang… - Nano …, 2021 - ACS Publications
Memristor devices that exhibit high integration density, fast speed, and low power
consumption are candidates for neuromorphic devices. Here, we demonstrate a filament …

Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications

Z Wang, M Rao, R Midya, S Joshi… - Advanced Functional …, 2018 - Wiley Online Library
Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …

[HTML][HTML] What is memory? The present state of the engram

M Poo, M Pignatelli, TJ Ryan, S Tonegawa… - BMC biology, 2016 - Springer
The mechanism of memory remains one of the great unsolved problems of biology.
Grappling with the question more than a hundred years ago, the German zoologist Richard …

[HTML][HTML] The spike-timing dependence of plasticity

DE Feldman - Neuron, 2012 - cell.com
In spike-timing-dependent plasticity (STDP), the order and precise temporal interval
between presynaptic and postsynaptic spikes determine the sign and magnitude of long …

Oxide-based RRAM materials for neuromorphic computing

XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …