Results 161 to 170 of about 68,095 (317)
Morphine activates the excitatory cingulate cortex–intermediate rostrocaudal division of zona incerta (Cg‐ZIm) pathway to drive hyperlocomotion in mice. Inhibiting the Cg‐ZIm pathway attenuates both acute and chronic morphine‐induced hyperlocomotion, while its activation mimics morphine's motor effects.
Chun‐Yue Li +13 more
wiley +1 more source
Rethinking adversarial attacks on neuromorphic models
Spiking neural networks (SNN) are biologically inspired artificial neural networks that emulate the behaviour of biological neurons in spiking-based computational units.
Soukaina Aji +3 more
doaj +1 more source
Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity
В. А. Демин, Dmitry Nekhaev
openalex +1 more source
Self-organized noise resistance of oscillatory neural networks with spike timing-dependent plasticity [PDF]
Oleksandr V. Popovych +2 more
openalex +1 more source
This study establishes a robust and reproducible protocol for generating human otic neuronal spheroids (hONS) from cryopreserved hPSC‐derived pre‐placodal ectoderm cells. These hONS further differentiate into functional SGN‐like neurons, which extend neurite projections toward both murine hair cells and human cortical organoids, thereby forming ...
Gaoying Sun +15 more
wiley +1 more source
Unsupervised learning in hexagonal boron nitride memristor-based spiking neural networks [PDF]
Sahra Afshari +4 more
openalex +1 more source
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
On the Algorithmic Power of Spiking Neural Networks
Chi-Ning Chou, Kai-Min Chung, Chi-Jen Lu
openalex +2 more sources
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking\n Neural Networks [PDF]
Yingyezhe Jin, Wenrui Zhang, Peng Li
openalex +1 more source

