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

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Release : 2023-04-26
Genre : Science
Kind : eBook
Book Rating : 657/5 ( reviews)

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Book Synopsis Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute by : Felix Schürmann

Download or read book Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute written by Felix Schürmann. This book was released on 2023-04-26. Available in PDF, EPUB and Kindle. Book excerpt:

Space-Time Computing with Temporal Neural Networks

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Release : 2017-05-18
Genre : Computers
Kind : eBook
Book Rating : 907/5 ( reviews)

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Book Synopsis Space-Time Computing with Temporal Neural Networks by : James E. Smith

Download or read book Space-Time Computing with Temporal Neural Networks written by James E. Smith. This book was released on 2017-05-18. Available in PDF, EPUB and Kindle. Book excerpt: Understanding and implementing the brain's computational paradigm is the one true grand challenge facing computer researchers. Not only are the brain's computational capabilities far beyond those of conventional computers, its energy efficiency is truly remarkable. This book, written from the perspective of a computer designer and targeted at computer researchers, is intended to give both background and lay out a course of action for studying the brain's computational paradigm. It contains a mix of concepts and ideas drawn from computational neuroscience, combined with those of the author. As background, relevant biological features are described in terms of their computational and communication properties. The brain's neocortex is constructed of massively interconnected neurons that compute and communicate via voltage spikes, and a strong argument can be made that precise spike timing is an essential element of the paradigm. Drawing from the biological features, a mathematics-based computational paradigm is constructed. The key feature is spiking neurons that perform communication and processing in space-time, with emphasis on time. In these paradigms, time is used as a freely available resource for both communication and computation. Neuron models are first discussed in general, and one is chosen for detailed development. Using the model, single-neuron computation is first explored. Neuron inputs are encoded as spike patterns, and the neuron is trained to identify input pattern similarities. Individual neurons are building blocks for constructing larger ensembles, referred to as "columns". These columns are trained in an unsupervised manner and operate collectively to perform the basic cognitive function of pattern clustering. Similar input patterns are mapped to a much smaller set of similar output patterns, thereby dividing the input patterns into identifiable clusters. Larger cognitive systems are formed by combining columns into a hierarchical architecture. These higher level architectures are the subject of ongoing study, and progress to date is described in detail in later chapters. Simulation plays a major role in model development, and the simulation infrastructure developed by the author is described.

Of Brains and Computers

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Release : 2022
Genre : TECHNOLOGY & ENGINEERING
Kind : eBook
Book Rating : 214/5 ( reviews)

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Book Synopsis Of Brains and Computers by : Jan M. Rabaey

Download or read book Of Brains and Computers written by Jan M. Rabaey. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: The human brain, which is considered to be the prototypal biological computer, in its current incarnation is the result of more than a billion years of evolution. Its main functions have always been to regulate the internal milieu and to help the organism/being to survive and reproduce. With growing complexity, the brain has adopted a number of design principles that serve to maximize its efficiency in performing a broad range of tasks. The physical computer, on the other hand, has had only 200 years or so to evolve, and its perceived purpose is considerably different and far more constrained - that is, to solve a set of mathematical functions. This picture is rapidly changing however. One may argue that the functions of brains and computers are converging. This transition comes at a critical time when the roadmap for physical computing is becoming murky after a long period of exponential growth. Hence the existential questions arise if the underlying design principles may converge or cross-breed, or if the different mechanisms (physics versus biology) will always translate into radically different solutions. Neuromorphic systems are just one possible form of cross-fertilization between biological and physical computing. Other neural concepts at different levels of abstraction can help inspire us to rethink how to efficiently perform a number of meaningful tasks and functions. This leads to the topic of this monograph. This monograph reviews some of the insights arising from both computational neuroscience and computer engineering, and evaluates how these could combine to help us build a next generation of "computing" systems. To create insights and identify opportunities, this monograph firstly puts neural and physical computing face-to-face, and compares how they arose, how they differ right now with respect to a number of metrics such as computational and power density, and how these metrics may change over the future decades. A similar analysis is performed at the architectural/computational model level. While doing so, ground truths in terms of obtainable performance, bandwidth and power/energy efficiency are established. Thereafter, a number of neural design principles that may translate into design guidelines for future computers are identified. On close examination of these and other observations, it becomes apparent that cross-fertilization between the domains is already happening at multiple levels, albeit in an incremental way. The publication completes with perspectives on where brain-inspired computing may lead us, some speculative bets, and a number of forward-looking reflections.

Python in Neuroscience

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Release : 2015-07-23
Genre : Neurosciences. Biological psychiatry. Neuropsychiatry
Kind : eBook
Book Rating : 089/5 ( reviews)

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Book Synopsis Python in Neuroscience by : Eilif Muller

Download or read book Python in Neuroscience written by Eilif Muller. This book was released on 2015-07-23. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Release : 2023-08-02
Genre : Science
Kind : eBook
Book Rating : 288/5 ( reviews)

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Book Synopsis Physical neuromorphic computing and its industrial applications by : Toshiyuki Yamane

Download or read book Physical neuromorphic computing and its industrial applications written by Toshiyuki Yamane. This book was released on 2023-08-02. Available in PDF, EPUB and Kindle. Book excerpt:

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