UV-Enhanced Artificial Synapses Based on WSe<sub>2</sub>-SrAl<sub>2</sub>O<sub>4</sub> Composites. [PDF]
Sun Q, Long X, Chen C, Zhang N, Chen P.
europepmc +1 more source
The noncentrosymmetric trilayer rhombohedral‐stacked MoS2 nanoflakes with enhanced sliding ferroelectric properties are synthesized via a molecular sieve‐assisted chemical vapor deposition process. The switchable polarization states, combined with the exceptional light/gate voltage modulated electrical properties of these nanoflakes, enable broadband ...
Qichao Xue +11 more
wiley +1 more source
Protein synthesis blockade prevents fear memory reactivation via inhibition of engram synapse strengthening. [PDF]
Hong I +5 more
europepmc +1 more source
Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu +4 more
wiley +1 more source
Organic Phototransistor Photonic Synapses for Artificial Vision. [PDF]
Ding F, Xue D, Chi L, Huang L.
europepmc +1 more source
All Organic Fully Integrated Neuromorphic Crossbar Array
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh +2 more
wiley +1 more source
Defect-Driven Neuromorphic Plasticity in Planar ZnO Optoelectronic Synapses. [PDF]
Ren Z +6 more
europepmc +1 more source
Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár +12 more
wiley +1 more source
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
Bio-Inspired Neural Network Dynamics-Aware Reinforcement Learning for Spiking Neural Network. [PDF]
Zheng Y, Xue J, Yang J, Zhang Y.
europepmc +1 more source

