Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute PDF Author: Felix Schürmann
Publisher: Frontiers Media SA
ISBN: 2832521657
Category : Science
Languages : en
Pages : 431

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Book Description

Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute

Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute PDF Author: Felix Schürmann
Publisher: Frontiers Media SA
ISBN: 2832521657
Category : Science
Languages : en
Pages : 431

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Book Description


Python in Neuroscience

Python in Neuroscience PDF Author: Eilif Muller
Publisher: Frontiers Media SA
ISBN: 2889196089
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
Languages : en
Pages : 275

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Book Description
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.

Brain-Inspired Computing

Brain-Inspired Computing PDF Author: Katrin Amunts
Publisher: Springer Nature
ISBN: 3030824276
Category : Computers
Languages : en
Pages : 159

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Book Description
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.

Spiking Neural Network Learning, Benchmarking, Programming and Executing

Spiking Neural Network Learning, Benchmarking, Programming and Executing PDF Author: Guoqi Li
Publisher: Frontiers Media SA
ISBN: 2889637670
Category :
Languages : en
Pages : 234

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Book Description


Event-Based Neuromorphic Systems

Event-Based Neuromorphic Systems PDF Author: Shih-Chii Liu
Publisher: John Wiley & Sons
ISBN: 0470018496
Category : Technology & Engineering
Languages : en
Pages : 440

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Book Description
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.

Bio-inspired Audio Processing, Models and Systems

Bio-inspired Audio Processing, Models and Systems PDF Author: Shih-Chii Liu
Publisher: Frontiers Media SA
ISBN: 2889632326
Category :
Languages : en
Pages : 200

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Book Description
Neurophysiology and biology provide useful starting points to help us understand and build better audio processing systems. The papers in this special issue address hardware implementations, spiking networks, sound identification, and attention decoding.

Introduction to High Performance Computing for Scientists and Engineers

Introduction to High Performance Computing for Scientists and Engineers PDF Author: Georg Hager
Publisher: CRC Press
ISBN: 1439811938
Category : Computers
Languages : en
Pages : 350

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Book Description
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

TinyML

TinyML PDF Author: Pete Warden
Publisher: O'Reilly Media
ISBN: 1492052019
Category : Computers
Languages : en
Pages : 504

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Book Description
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Cortex: Statistics and Geometry of Neuronal Connectivity

Cortex: Statistics and Geometry of Neuronal Connectivity PDF Author: Valentino Braitenberg
Publisher: Springer Science & Business Media
ISBN: 3662037335
Category : Medical
Languages : en
Pages : 243

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Book Description
By means of quantitative analysis of the tissue components in the cortex of the mouse, this book presents an overall picture of the cortical network which is then related to various theories on cortical function. Centering around the idea of a diffuse network in a fairly homogeneous population of excitatory neurons, that of the pyramidal cells, it shows that the whole organisation in the cortical skeleton of pryramidal cells corresponds well with the idea of an associative memory and with the theory of cell assemblies. Provides the reader with information on quantitative neuroanatomy and also on the methods used, in particular those that vary from the norm.

The Cambridge Handbook of Research Methods in Clinical Psychology

The Cambridge Handbook of Research Methods in Clinical Psychology PDF Author: Aidan G. C. Wright
Publisher: Cambridge University Press
ISBN: 9781316639528
Category : Psychology
Languages : en
Pages : 600

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Book Description
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.