Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute
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Neuroscience computing performance and benchmarks Why it matters to neuroscience how fast we can compute
Author | : Felix Schürmann,Omar Awile,James Courtney Knight,Thomas Nowotny,James B. Aimone,Markus Diesmann |
Publsiher | : Frontiers Media SA |
Total Pages | : 431 |
Release | : 2023-04-26 |
Genre | : Science |
ISBN | : 9782832521656 |
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Python in Neuroscience
Author | : Eilif Muller,James A. Bednar,Markus Diesmann,Marc-Oliver Gewaltig,Michael Hines,Andrew P. Davison |
Publsiher | : Frontiers Media SA |
Total Pages | : 275 |
Release | : 2015-07-23 |
Genre | : Electronic book |
ISBN | : 9782889196081 |
Download Python in Neuroscience Book in PDF, Epub and Kindle
Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.
Physical neuromorphic computing and its industrial applications
Author | : Toshiyuki Yamane,Akira Hirose,Bert Offrein |
Publsiher | : Frontiers Media SA |
Total Pages | : 163 |
Release | : 2023-08-02 |
Genre | : Science |
ISBN | : 9782832531280 |
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Brain Inspired Computing
Author | : Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov |
Publsiher | : Springer Nature |
Total Pages | : 159 |
Release | : 2021-07-20 |
Genre | : Computers |
ISBN | : 9783030824273 |
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This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
Hardware for Artificial Intelligence
Author | : Alexantrou Serb,Melika Payvand,Irem Boybat,Oliver Rhodes |
Publsiher | : Frontiers Media SA |
Total Pages | : 229 |
Release | : 2022-09-26 |
Genre | : Science |
ISBN | : 9782889763986 |
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Spiking Neural Network Learning Benchmarking Programming and Executing
Author | : Guoqi Li,Yam Song (Yansong) Chua,Haizhou Li,Peng Li,Emre O. Neftci,Lei Deng |
Publsiher | : Frontiers Media SA |
Total Pages | : 234 |
Release | : 2020-06-05 |
Genre | : Electronic Book |
ISBN | : 9782889637676 |
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Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning
Author | : Lei Deng,Kaushik Roy,Huajin Tang |
Publsiher | : Frontiers Media SA |
Total Pages | : 200 |
Release | : 2021-05-05 |
Genre | : Science |
ISBN | : 9782889667420 |
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Event Based Neuromorphic Systems
Author | : Shih-Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adrian Whatley,Rodney Douglas |
Publsiher | : John Wiley & Sons |
Total Pages | : 440 |
Release | : 2015-02-16 |
Genre | : Technology & Engineering |
ISBN | : 9780470018491 |
Download Event Based Neuromorphic Systems Book in PDF, Epub and Kindle
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.