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{ "item_title" : "Bioinformation Processing", "item_author" : [" James K. Peterson "], "item_description" : "This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/135/718/9811357188_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Bioinformation Processing|James K. Peterson

Bioinformation Processing : A Primer on Computational Cognitive Science

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Overview

This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It begins with a general model of cognitive processes in a network of computational nodes, such as neurons, using a variety of tools from mathematics, computational science and neurobiology. It then moves on to solve the diffusion model from a low-level random walk point of view. It also demonstrates how this idea can be used in a new approach to solving the cable equation, in order to better understand the neural computation approximations. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.

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Details

  • ISBN-13: 9789811357183
  • ISBN-10: 9811357188
  • Publisher: Springer
  • Publish Date: December 2018
  • Dimensions: 9.21 x 6.14 x 1.23 inches
  • Shipping Weight: 1.85 pounds
  • Page Count: 570

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