Results 41 to 50 of about 1,500,046 (301)

Postnatal development of intrinsic and synaptic properties transforms signaling in the Layer 5 excitatory neural network of the visual cortex [PDF]

, 2011
Information flow in neocortical circuits is regulated by two key parameters: intrinsic neuronal properties and the short-term activity-dependent plasticity of synaptic transmission.
Etherington, Sarah J., S. J. Etherington, S. R. Williams, Etherington, S.J., Williams, S.R., Williams, Stephen R.   +5 more
core   +1 more source

Perovskite photoelectric memristors with biological synaptic properties for neuromorphic computing

Advanced Sensor and Energy Materials
The “Von Neumann bottleneck” of traditional computing architecture limits the speed of information processing and the physical size limit indicates the end of “More's Law”.
Dong-Liang Li, Jia-Ying Chen, Yang Xiao, Wen-Min Zhong, Yan-Ping Jiang, Qiu-Xiang Liu, Xin-Gui Tang   +6 more
doaj   +1 more source

Morphologic and functional correlates of synaptic pathology in the cathepsin D knockout mouse model of congenital neuronal ceroid lipofuscinosis [PDF]

, 2011
Mutations in the cathepsin D (CTSD) gene cause an aggressive neurodegenerative disease (congenital neuronal ceroid lipofuscinosis) that leads to early death. Recent evidence suggests that presynaptic abnormalities play a major role in the pathogenesis of
Koch, Sabine, Cooper, Jonathan D, Svetlana M. Molchanova, Taira, Tomi, Tyynelä, Jaana, Jonathan D. Cooper, Ann K. Wright, Thomas H. Gillingwater, Sabine Koch, Andrew Edwards, Wright, Ann K, Gillingwater, Thomas H, Molchanova, Svetlana M, Jaana Tyynelä, Edwards, Andrew, Tomi Taira   +15 more
core   +1 more source

Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering [PDF]

IEEE Access, 2020
Neuromorphic computing offers parallel data processing and low energy consumption and can be useful to replace conventional von Neumann computing. Memristors are two-terminal devices with varying conductance that can be used as synaptic arrays in hardware-based neuromorphic devices.
Ji-Ho Ryu, Boram Kim, Fayyaz Hussain, Muhammad Ismail, Chandreswar Mahata, Teresa Oh, Muhammad Imran, Kyung Kyu Min, Tae-Hyeon Kim, Byung-Do Yang, Seongjae Cho, Byung-Gook Park, Yoon Kim, Sungjun Kim   +13 more
openaire   +3 more sources

A synaptic nidogen: developmental regulation and role of nidogen-2 at the neuromuscular junction [PDF]

, 2008
Background: The skeletal neuromuscular junction is a useful model for elucidating mechanisms that regulate synaptogenesis. Developmentally important intercellular interactions at the neuromuscular junction are mediated by the synaptic portion of a basal ...
Fox Michael A, Ho Matthew SP, Fox, Michael, Sanes Joshua R, Sanes, Joshua R, Ho, Matthew S. P., Smyth, Neil, Sanes, Joshua, Smyth Neil, Fox, Michael A., Sanes, Joshua R., Ho, Matthew S.P., Ho, Matthew SP   +12 more
core   +1 more source

Two‐Terminal MoS2‐Based Retinomorphic Devices with Enhanced Synaptic Plasticity

Advanced Electronic Materials
Neuromorphic visual systems mimicking biological retina functionalities are emerging as next‐generation retinomorphic devices for consolidating sensing and memorizing systems.
Younghoon Lim, Taehun Kim, Jaesik Eom, Onsik Harm, Junsung Byeon, Jungmoon Lim, Juwon Lee, Sangyeon Pak, SeungNam Cha   +8 more
doaj   +1 more source

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays [PDF]

, 2012
Axonal delays are used in neural computation to implement faithful models of biological neural systems, and in spiking neural networks models to solve computationally demanding tasks. While there is an increasing number of software simulations of spiking
Sadique Sheik, Sheik, S., Sheik, Sadique, Indiveri, G., Giacomo Indiveri, Elisabetta Chicca, Chicca, Elisabetta, Indiveri, Giacomo, Chicca, Elisabetta ; https://orcid.org/   +8 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons [PDF]

, 2001
Chicca E, Fusi S. Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In: Rattay F, ed. Proceedings of the World Congress on Neuroinformatics.
Fusi, S., Chicca, Elisabetta ; https://orcid.org/, Rattay, Frank   +2 more
core  

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source