How Long to Read Space-Time Computing with Temporal Neural Networks

How Long Does it Take to Read Space-Time Computing with Temporal Neural Networks?

It takes the average reader 3 hours and 40 minutes to read Space-Time Computing with Temporal Neural Networks by James E. Smith

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Space-Time Computing with Temporal Neural Networks?

Space-Time Computing with Temporal Neural Networks by James E. Smith is 220 pages long, and a total of 55,000 words.

This makes it 74% the length of the average book. It also has 67% more words than the average book.

How Long Does it Take to Read Space-Time Computing with Temporal Neural Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 5 hours to read Space-Time Computing with Temporal Neural Networks aloud.

What Reading Level is Space-Time Computing with Temporal Neural Networks?

Space-Time Computing with Temporal Neural Networks is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Space-Time Computing with Temporal Neural Networks?

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