Nonlinear neural networks: Principles, mechanisms, and architectures
S Grossberg - Neural networks, 1988 - Elsevier
An historical discussion is provided of the intellectual trends that caused nineteenth century
interdisciplinary studies of physics and psychobiology by leading scientists such as …
interdisciplinary studies of physics and psychobiology by leading scientists such as …
Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
I Tsuda - Behavioral and Brain Sciences, 2001 - cambridge.org
Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …
[BOOK][B] Neuronal dynamics: From single neurons to networks and models of cognition
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
[BOOK][B] Introduction to the theory of neural computation
JA Hertz - 2018 - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
[BOOK][B] Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial
optimization and neural computing | Guide books skip to main content ACM Digital Library …
optimization and neural computing | Guide books skip to main content ACM Digital Library …
Supervised learning with tensor networks
Tensor networks are approximations of high-order tensors which are efficient to work with
and have been very successful for physics and mathematics applications. We demonstrate …
and have been very successful for physics and mathematics applications. We demonstrate …
[BOOK][B] Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
R O'Reilly - 2000 - books.google.com
This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past
several years, provides an in-depth introduction to the main ideas in the computational …
several years, provides an in-depth introduction to the main ideas in the computational …
Hippocampal conjunctive encoding, storage, and recall: Avoiding a trade‐off
The hippocampus and related structures are thought to be capable of (1) representing
cortical activity in a way that minimizes overlap of the representations assigned to different …
cortical activity in a way that minimizes overlap of the representations assigned to different …
[BOOK][B] Neural networks: an introduction
B Müller, J Reinhardt, MT Strickland - 2012 - books.google.com
Neural Networks presents concepts of neural-network models and techniques of parallel
distributed processing in a three-step approach:-A brief overview of the neural structure of …
distributed processing in a three-step approach:-A brief overview of the neural structure of …
[PDF][PDF] Neural network fundamentals with graphs, algorithms, and applications
P Liang, NK Bose - Mac Graw-Hill, 1996 - ggnindia.dronacharya.info
NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND APPLICATIONS
Page 1 NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND …
Page 1 NEURAL NETWORK FUNDAMENTALS WITH GRAPHS, ALGORITHMS, AND …