Results 71 to 80 of about 2,017,547 (269)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Autism and mild epilepsy associated with a de novo missense pathogenic variant in the GTPase effector domain of DNM1

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView., 2023
Abstract Dynamin 1 is a GTPase protein involved in synaptic vesicle fission, which facilitates the exocytosis of neurotransmitters necessary for normal signaling. Pathogenic variants in the DNM1 gene are associated with intractable epilepsy, often manifested as infantile spasms at onset, developmental delay, and a movement disorder, and are located in ...
Davide Mei, Elena Parrini, Claudia Bianchini, Maria Luisa Ricci, Renzo Guerrini   +4 more
wiley   +1 more source

Zwitterionic Polymer Coating Enabled Chronic Dopamine Sensing and Electrophysiology Recording in Free‐Moving Mice

Advanced Healthcare Materials, EarlyView.
Application of a zwitterionic poly(sulfobetaine methacrylate) (PSB) coating to microelectrode arrays and Ag/AgCl reference electrodes effectively inhibits biofouling and structural degradation. This strategy successfully enables simultaneous, long‐term electrophysiological recording and dopamine sensing in freely behaving mice, facilitating ...
Bingchen Wu, Cort Thompson, Thomas Deakin, Yan Xu, Colleen A. McClung, Xinyan Tracy Cui   +5 more
wiley   +1 more source

The recurrent temporal restricted Boltzmann machine captures neural assembly dynamics in whole-brain activity

eLife
Animal behaviour alternates between stochastic exploration and goal-directed actions, which are generated by the underlying neural dynamics. Previously, we demonstrated that the compositional Restricted Boltzmann Machine (cRBM) can decompose whole-brain ...
Sebastian Quiroz Monnens, Casper Peters, Luuk Willem Hesselink, Kasper Smeets, Bernhard Englitz   +4 more
doaj   +1 more source

Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures

Frontiers in Neuroinformatics, 2018
The possibility to replicate and reproduce published research results is one of the biggest challenges in all areas of science. In computational neuroscience, there are thousands of models available.
Tiina Manninen, Tiina Manninen, Jugoslava Aćimović, Jugoslava Aćimović, Riikka Havela, Riikka Havela, Heidi Teppola, Heidi Teppola, Marja-Leena Linne, Marja-Leena Linne   +9 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

The history of neuroscience in autobiography /

, 1996
This book is the second volume of autobiographical essays by distinguished senior neuroscientists; it is part of the first collection of neuroscience writing that is primarily autobiographical.
Society for Neuroscience., Squire, Larry R.   +1 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Salience Models: A Computational Cognitive Neuroscience Review

Vision, 2019
The seminal model by Laurent Itti and Cristoph Koch demonstrated that we can compute the entire flow of visual processing from input to resulting fixations. Despite many replications and follow-ups, few have matched the impact of the original model—
Sofia Krasovskaya, W. Joseph MacInnes
doaj   +1 more source

Elastomeric 3D‐Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell‐Derived Neuroepithelial Cells

Advanced Materials, EarlyView.
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena, Lucia Castillo Ransanz, Ruben H. Guis, Giulia Bergamaschi, Nanne J. Paauw, Urs Staufer, Vivi M. Heine, Angelo Accardo   +7 more
wiley   +1 more source