Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines
| Author | : | |
| Rating | : | 4.95 (920 Votes) |
| Asin | : | 012410407X |
| Format Type | : | paperback |
| Number of Pages | : | 272 Pages |
| Publish Date | : | 2016-11-20 |
| Language | : | English |
DESCRIPTION:
Dan is a previous recipient of an Individual National Research Service Award from the National Institutes of Health and is author of more than 20 publications, many of which are in conference proceedings and peer-reviewed journals in cognitive neuroscience and statistics. He has a Ph.D. He founded the business in early 1996 as a sole proprietorsh
Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. It emphasizes the fact that RELR is really just a simple adjustment to already widely used logistic regression, along with RELR's new applications that go well beyond standard logistic regression in prediction and explanation. The reduced error logistic regression (RELR) method is proposed as such a "Calculus of Thought." This book reviews how RELR's completely automated processing may parallel important aspects of explicit and implicit learning in neural processes. Readers will learn how RELR solves s
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, February 2014. "…Rice argues that cognitive machines will need to be neuromorphic, that is, based upon neuroscience, in order to simulate aspects of human cognition
Jeff Schwartz said Ups the Ante on Cognitive Modeling. It is difficult enough for authors to integrate diverse subject matter. Doing so while advancing the state-of-the-art is something else altogether. Daniel Rice's book Calculus of Thought achieves both goals in sparkling fashion. The reader is taken on a tour of machine learning, cognitive science, neural science, an. Amazon Customer said Good book with some provacative ideas - feels like this. Good book with some provacative ideas - feels like this was a formal articulation of a doctoral dissertation. Wish there were some very practical examples so the reader could see how the new formulation worked, so it could be used. Glad I read it. My interest is in cognitive computing.