Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.

• 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.

Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.

• 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.

Dr. James Peterson is an Associate Professor in Mathematical Sciences and Biological Sciences at Clemson University, USA. His formal training is in mathematics but he has worked as an aerospace engineer and a software engineer also. He enjoys working on very hard problems that require multiple disciplines to make sense out of and he reads, studies and plays in cutting edge areas a lot as part of his interests.

• 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.