Results 251 to 260 of about 187,009 (324)

High Linearity and Symmetry Ferroelectric Artificial Neuromorphic Devices Based on Ultrathin Indium‐Tin‐Oxide Channels

open access: yesAdvanced Electronic Materials, EarlyView.
Ultrathin ITO and ferroelectric HZO are used to fabricate synaptic transistors. The device has a great on/off ratio ≈108 with a memory window of 1.73 V, successfully simulates the characteristics of the human brain, and achieves good linearity of 0.45 for potential and 0.73 for depression and low asymmetry of 0.89.
Siwei Wang   +8 more
wiley   +1 more source

Designed Biomaterial‐Enhanced Cell Transplantation for Neural Tissue Engineering

open access: yesAggregate, EarlyView.
Biomaterials offer a promising solution for cell transplantation in the central nervous system by creating a protective environment that enhances cell survival, integration, and functional recovery in preclinical models of neurological disorders. ABSTRACT Cell transplantation therapy in the central nervous system is hindered by limited survival and ...
Yun Tang   +3 more
wiley   +1 more source

Early-life stress differentially affects CA3 synaptic inputs converging on apical and basal dendrites of CA1 pyramidal neurons. [PDF]

open access: yesFront Neural Circuits
Jappy D   +7 more
europepmc   +1 more source

Energy‐Efficient Hardware Implementation of Spiking‐Restricted Boltzmann Machines Using Pseudo‐Synaptic Sampling

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, an energy‐efficient hardware implementation of spiking‐restricted Boltzmann machines using the pseudo‐synaptic sampling (PS2) method is presented. In the PS2 method, superior area and energy efficiency over previous approaches, such as the random walk method, are demonstrated, achieving a 94.94% reduction in power consumption during on‐
Hyunwoo Kim   +10 more
wiley   +1 more source

Multistable Physical Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran   +3 more
wiley   +1 more source

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