Linear and Symmetric Artificial Synapses Driven by Hydrogen Bonding for Accurate and Reliable Neuromorphic Computing. [PDF]
Lee MJ +10 more
europepmc +1 more source
Thermally Stable Organic Synaptic Transistors Using a High‐Tg Polymer Electret
A high–glass‐transition‐temperature cyclic olefin copolymer (COC) electret enables thermally stable organic synaptic transistors for neuromorphic operation in harsh environments. UV–ozone treatment increases the trap density in COC, providing robust multilevel conductance and key synaptic functions (excitatory postsynaptic current/ inhibitory ...
Hoyoung Cho +9 more
wiley +1 more source
Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor. [PDF]
Ding Y +11 more
europepmc +1 more source
Hardware Implementation of Artificial Synapses
openaire +1 more source
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun +5 more
wiley +1 more source
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
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Polarity-tunable dye-sensitized optoelectronic artificial synapses for physical reservoir computing-based machine vision. [PDF]
Komatsu H, Hosoda N, Ikuno T.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source

