Results 41 to 50 of about 328,871 (251)
Advanced Functional Materials, EarlyView.This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang +3 more
wiley +1 more source
Emulating long-term synaptic dynamics with memristive devices [PDF]
, 2016 The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu +5 more
core +2 more sources
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
C-Terminal truncation of NR2A subunits impairs synaptic but not extrasynaptic localization of NMDA receptors [PDF]
, 2000 NMDA receptors interact via the extended intracellular C-terminal domain of the NR2 subunits with constituents of the postsynaptic density for purposes of retention, clustering, and functional regulation at central excitatory synapses.
Kennedy, Mary B. +5 more
core +1 more source
Advanced Functional Materials, EarlyView.A fully transparent, all‐metal‐oxide neuromorphic transistor using a sodium‐embedded alumina (SEA) electrolyte is demonstrated. By precisely tuning the thermal annealing process, the chemical composition of the SEA layer is controlled, allowing for the deterministic realization of both short‐term and long‐term synaptic plasticity within the same device
Yonghyun Albert Kwon +7 more
wiley +1 more source
Spiking Neural P Systems with Addition/Subtraction Computing on Synapses [PDF]
, 2018 Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computing models inspired from biological spiking neurons.
Chen, Zhiqiang, Jiang, Yun
core
RNA, 2015 One reason we learn and remember is because synapses, the places where axons and dendrites meet, undergo experience-dependent changes whose long-lasting nature may underlie the formation and persistence of memory. Indeed, neurons use these morphological and biochemical alterations to distinguish experienced (i.e., stimulated) from naive (unstimulated ...
openaire +2 more sources
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
Optimal percentage of inhibitory synapses in multi-task learning
, 2015 Performing more tasks in parallel is a typical feature of complex brains. These are characterized by the coexistence of excitatory and inhibitory synapses, whose percentage in mammals is measured to have a typical value of 20-30\%.
Capano, Vittorio +2 more
core +1 more source
Nature Neuroscience, 2018 While the role of protein synthesis in synaptic plasticity and memory is well-established, protein degradation processes have been less studied. A seminal 2003 Nature Neuroscience paper showed that ubiquitin-dependent degradation of synaptic proteins is engaged during activity-regulated synaptic remodeling.
openaire +3 more sources