Results 91 to 100 of about 13,938 (239)

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

, 2015
In this article, we propose a novel Winner-Take-All (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it.
Basu, Arindam, Roy, Subhrajit
core   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source

Adaptive self-organization in a realistic neural network model

, 2009
Information processing in complex systems is often found to be maximally efficient close to critical states associated with phase transitions. It is therefore conceivable that also neural information processing operates close to criticality.
A. Mason, B. Barbour, Christian Meisel, E. Kandel, G. Bi, J. Barlow, J. Barrie, J. Beggs, J.-P. Pfister, M. Tsodyks, P. Isope, R. Sayer, Thilo Gross, V. Braitenberg, V. Braitenberg   +14 more
core   +1 more source

Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2‐Based Memristors

Advanced Electronic Materials, EarlyView.
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu, Hao Shen, Richard Schroedter, Chong Peng, Hampus Hoffman, Stefan Slesazeck, Ronald Tetzlaff, Thomas Mikolajick, Benjamin Max   +8 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Variation-resilient spike-timing-dependent plasticity in memristors using bursting neuron circuit

Neuromorphic Computing and Engineering
Spike-timing-dependent plasticity (STDP) is a classic synaptic function that facilitates learning and memory in a biological brain. Hardware implementation of neural circuits supporting dynamical STDP functions offers notable advantages in terms of ...
Yize Liu, Jiayi Zhao, Yu Xiao, Peng Chen, Haisong Chen, Enhui He, Peng Lin, Gang Pan   +7 more
doaj   +1 more source

Generation of STDP With Non-Volatile Tunnel-FET Memory for Large-Scale and Low-Power Spiking Neural Networks

IEEE Journal of the Electron Devices Society, 2020
Spiking neural networks (SNNs) have attracted considerable attention as next-generation neural networks. As SNNs consist of devices that have spike-timing-dependent plasticity (STDP) characteristics, STDP is one of the critical characteristics we need to
Hisashi Kino, Takafumi Fukushima, Tetsu Tanaka   +2 more
doaj   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

The activity requirements for spike timing-dependent plasticity in the hippocampus

Frontiers in Synaptic Neuroscience, 2010
Synaptic plasticity has historically been investigated most intensely in the hippocampus and therefore it is somewhat surprising that the majority of studies on spike timing-dependent plasticity (STDP) have focused not in the hippocampus but on synapses ...
Katherine Buchanan, Jack Mellor
doaj   +1 more source

Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model

, 2019
The occurrence of sleep passed through the evolutionary sieve and is widespread in animal species. Sleep is known to be beneficial to cognitive and mnemonic tasks, while chronic sleep deprivation is detrimental.
Capone, Cristiano, Golosio, Bruno, Paolucci, Pier Stanislao, Pastorelli, Elena   +3 more
core   +1 more source