Results 251 to 260 of about 454,876 (378)
This paper presents a dual‐layer device integrating neuronal and synaptic functions using a conductive bottom layer (MXenes or rGO) and a gallium oxide top layer. The device demonstrates distinct switching behaviors—volatile (neuronal) and gradual (synaptic)—depending on the configuration.
Suji Ha+6 more
wiley +1 more source
MicroRNA-138-5p suppresses excitatory synaptic strength at the cerebellar input layer. [PDF]
Delvendahl I+6 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
Inhibitory specificity from a connectomic census of mouse visual cortex. [PDF]
Schneider-Mizell CM+40 more
europepmc +1 more source
Stereotypic morphology of glutamatergic synapses on identified muscle cells of Drosophila larvae [PDF]
Jørgen Johansen+3 more
openalex +1 more source
Tripartite synapses: astrocytes process and control synaptic information
G. Perea, M. Navarrete, A. Araque
semanticscholar +1 more source
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
A multiscale brain emulation-based artificial intelligence framework for dynamic environments. [PDF]
Xie Y.
europepmc +1 more source
The effect of a preceding stimulus on temporal facilitation at corticomotoneuronal synapses
R. B. Muir, R. Porter
openalex +2 more sources