Calculus of Thought
Neuromorphic Logistic Regression in Cognitive Machines

A must read for all scientists about a very simple computation method designed to simulate big data neural processing

Daniel M Rice (Author)

9780124104075

Hardback, published 17 December 2013

272 pages, Illustrated
22.9 x 15.1 x 2.2 cm, 0.51 kg

"…Rice argues that cognitive machines will need to be neuromorphic, that is, based upon neuroscience, in order to simulate aspects of human cognition. He sets out the most fundamental and important concepts in modern cognitive neuroscience, including neural dynamics, implicit and explicit learning, neural synchrony, Hebbian spike-timing dependent plasticity, and neural Darwinism." --ProtoView.com, February 2014

Approx.256 pages

Preface: A Personal Perspective1. Calculus Ratiocinator2. Most Likely Inference3. Conditional Probability Learning4. Causal Reasoning5. Neural Calculus6. Oscillating Neural Synchrony7. Neural Natural Selection and Alzheimer’s Disease8. Let Us CalculateAppendix One: The RELR FormulationAppendix Two: The 2004 Election Weekend Survey Model

Subject Areas: Neural networks & fuzzy systems [UYQN], Neurosciences [PSAN], Calculus & mathematical analysis [PBK]