Results 51 to 60 of about 36,804 (240)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

open access: yesAdvanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee   +23 more
wiley   +1 more source

Label-Free Visualization of Ultrastructural Features of Artificial Synapses via Cryo-EM

open access: yes, 2016
The ultrastructural details of presynapses formed between artificial substrates of submicrometer silica beads and hippocampal neurons are visualized via cryo-electron microscopy (cryo-EM).
Isabelle Rouiller (72040)   +6 more
core   +1 more source

Artificial Synapses Based on WSe2 Homojunction via Vacancy Migration

open access: yes, 2022
Artificial synapses based on two-dimensional (2D) transition metal dichalcogenides (TMDs) materials have attracted wide attention to boost the development of neuromorphic computing in recent years.
Ming Xu (151206)   +9 more
core   +1 more source

Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs

open access: yesAdvanced Science, EarlyView.
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou   +22 more
wiley   +1 more source

Enhanced Glycolysis‐Driven Histone H3K18 Lactylation Regulates Epileptogenesis by Modulating the E3 Ubiquitin Ligase COP1

open access: yesAdvanced Science, EarlyView.
Neuronal PKM2‐driven glycolysis generates excess lactate that triggers histone H3K18 lactylation (H3K18la), establishing a pathogenic metabolic‐epigenetic axis in epilepsy. Elevated H3K18la enriches the Cop1 promoter, transcriptionally upregulating the E3 ubiquitin ligase COP1, which subsequently drives proteasomal degradation of GABAARβ2 and impairs ...
Yuan Meng   +8 more
wiley   +1 more source

Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]

open access: yes, 2009
Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J   +8 more
core   +1 more source

A Brain‐Wide Atlas of Astrocytic Oxytocin Receptors Reveals a Glial Basis for Nucleus Accumbens Modulation of Affiliative Behavior

open access: yesAdvanced Science, EarlyView.
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis   +32 more
wiley   +1 more source

Imperfect synapses in artificial spiking neural networks [PDF]

open access: yes, 2016
The human brain is a complex organ containing about 100 billion neurons, connecting to each other by as many as 1000 trillion synaptic connections. In neuroscience and computer science, spiking neural network models are a conventional model that allow
Jackson, Hayden
core   +1 more source

Organic electronic synapses with low energy consumption

open access: yes, 2021
A SUMMARY The von Neumann computing architecture consists of separated processing and memory elements; it is too bulky and energy-intensive to be implemented in the upcoming artificial intelligence age.
Lee, Tae-Woo   +3 more
core   +1 more source

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