Peterson, James K. <br/><br/>
BioInformation Processing  A Primer on Computational Cognitive Science /  [electronic resource] : 
by James K. Peterson. 
 - 1st ed. 2016. 
 - XXXV, 570 p. 165 illus. in color.  online resource. 
 - Cognitive Science and Technology,  2195-3988 .
 - Cognitive Science and Technology, .
<br/><br/>BioInformation Processing -- The Diffusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diffusion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. Peterson and L. Dzuris -- Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson -- Modeling Compositional Design -- Networks Of Excitable Neurons -- Training The Model -- Matrix Feed Forward Networks -- Chained Feed Forward Architectures -- Graph Models -- Address Based Graphs -- Building Brain Models -- Models of Cognitive Dysfunction -- Conclusions -- Background Reading. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9789812878717 
<br/><br/><label>Standard No.: </label>10.1007/978-981-287-871-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Computer graphics.<br/>Neural networks (Computer science).<br/>Physics.<br/>Computational intelligence.<br/>Engineering.<br/>Computational Intelligence.<br/>Theoretical, Mathematical and Computational Physics.<br/>Mathematical Models of Cognitive Processes and Neural Networks.<br/>Artificial Intelligence (incl. Robotics).<br/>Computer Imaging, Vision, Pattern Recognition and Graphics.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3