Results 51 to 60 of about 1,601,752 (292)
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 +11 more
wiley +1 more source
Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex [PDF]
, 2013 The information processing abilities of neural circuits arise from their synaptic connection patterns. Understanding the laws governing these connectivity patterns is essential for understanding brain function.
Jochen Triesch (106561) +13 more
core +1 more source
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 +19 more
wiley +1 more source
On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
, 2022 Synaptic memory consolidation has been heralded as one of the key mechanisms for supporting continual learning in neuromorphic Artificial Intelligence (AI) systems.
Rahman, Mustafizur +2 more
core
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Frontiers in Neuroscience, 2014 Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements.
Sukru Burc Eryilmaz +6 more
doaj +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 +13 more
openaire +3 more sources
Entorhinal denervation induces homeostatic synaptic scaling of excitatory postsynapses of dentate granule cells in mouse organotypic slice cultures [PDF]
, 2012 Denervation-induced changes in excitatory synaptic strength were studied following entorhinal deafferentation of hippocampal granule cells in mature (≥3 weeks old) mouse organotypic entorhino-hippocampal slice cultures.
Roeper, Jochen +23 more
core +1 more source
Advanced Functional Materials, EarlyView.Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Synaptic plasticity and learning behaviour in multilevel memristive devices
RSC Advances, 2023 This research explores a novel two-terminal heterostructure of the Pt/Cu 2 Se/Sb 2 Se 3 /FTO memristor, which exhibited essential biological synaptic functions.
M. Asif +4 more
openaire +2 more sources