Results 91 to 100 of about 77,137 (273)

The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity

, 2018
Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics.
Collins, Logan Thrasher
core   +1 more source

Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs

Advanced 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, Sisi Luo, Binliang Tang, Zhiqiang Liu, Yuchuan Zhou, Yicong Meng, Zhengmu Wu, Zheng Sun, Weihui Shi, Jianzhong Sheng, Chuanjin Yu, Zhenhua Li, Siyi Wei, Mo Zhang, Yujie Luo, Jing Yan, Xueyun Qin, Jiahang Mo, Chengliang Zhou, Jinsong Li, Hefeng Huang, Yifu Ding, Guolian Ding   +22 more
wiley   +1 more source

Modulating short-term and long-term plasticity of polymer-based artificial synapses for neuromorphic computing and beyond

Neuromorphic Computing and Engineering
Neuromorphic devices that emulate biological neural systems have been actively studied to overcome the limitations of conventional von Neumann computing structure.
Ui-Chan Jeong, Jun-Seok Ro, Hea-Lim Park, Tae-Woo Lee   +3 more
doaj   +1 more source

Neuid: A Novel Neuron‐Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease

Advanced Science, EarlyView.
ABSTRACT The increasing evidence that non‐coding RNAs can become deregulated during pathogenesis is dramatically expanding the space for drug discovery beyond the protein‐coding genome. Long noncoding RNAs (lncRNAs) are emerging as key regulators of cellular function, yet most remain uncharacterized.
Ranjit Pradhan, Zorica Petrovic, M. Sadman Sakib, Sophie Schröder, Dennis Manfred Krüger, Tonatiuh Pena, Eren Diniz, Susanne Burkhardt, Anna‐Lena Schütz, Verena Gisa, Iga Grzadzielewska, Karl Toischer, Thor D. Stein, Jan Krzysztof Blusztajn, Ivana Delalle, Jelena Radulovic, Farahnaz Sananbenesi, Andre Fischer   +17 more
wiley   +1 more source

2D Copper MOF Membranes with Precise Pores for Ionic Memory

Advanced Science, EarlyView.
 . ABSTRACT Biological ion channels play a critical role in the complex physiological processes of living organisms. Inspired by these natural systems, we demonstrate the fabrication of ultrathin 2D copper‐based metal‐organic framework (CuMOF) films and their application to mimic key functionalities of biological membranes. Using a liquid–air interface
Hiran Jyothilal, Raj Kumar Gogoi, Yuchen Liu, Vikas Sharma, Solleti Goutham, Michael Hutton, Rachel C. Kilbride, Daniel T.W. Toolan, Ashok Keerthi, Boya Radha   +9 more
wiley   +1 more source

All‐Ferroelectric Spiking Neural Networks via Morphotropic Phase Boundary Neurons

Advanced Science
Artificial neurons and synapses are crucial for efficiently implementing spiking neural networks (SNNs) in hardware. The distinct functional requirements of artificial neurons and synapses present significant challenges in the implementation of area‐ and
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, Ryun‐Han Koo, Jiseong Im, Chang‐Hyeon Han, Jong‐Ho Lee, Daewoong Kwon   +7 more
doaj   +1 more source

Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses

Advanced Intelligent Systems, 2020
In biological synapses, short‐term plasticity is important for computation and signal transmission, whereas long‐term plasticity is essential for memory formation.
Hong Han, Zhipeng Xu, Kexin Guo, Yao Ni, Mingxue Ma, Haiyang Yu, Huanhuan Wei, Jiangdong Gong, Shuo Zhang, Wentao Xu   +9 more
doaj   +1 more source

Pulse Coded Neural Network Implementation In VLSI [PDF]

, 2000
A neural network that encodes signals in terms of pulses has been designed and fabricated. The neural network components are described in detail. As a test case, a two-layer network is implemented.
Chang, Wooi Po, Shaikh-Husin, Nasir
core  

Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface

, 2016
Experiments show that spike-triggered stimulation performed with Bidirectional Brain-Computer-Interfaces (BBCI) can artificially strengthen connections between separate neural sites in motor cortex (MC).
Fairhall, Adrienne L., Fetz, Eberhard E., Kalaska, John F., Krouchev, Nedialko I., Lajoie, Guillaume   +4 more
core   +6 more sources

ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW

Mokslas - Lietuvos ateitis, 2023
Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, face and emotion recognition, game strategy development ...
openaire   +3 more sources