scispace - formally typeset
A

Anthony C. C. Coolen

Researcher at King's College London

Publications -  174
Citations -  2633

Anthony C. C. Coolen is an academic researcher from King's College London. The author has contributed to research in topics: Artificial neural network & Random graph. The author has an hindex of 31, co-authored 170 publications receiving 2447 citations. Previous affiliations of Anthony C. C. Coolen include Radboud University Nijmegen & Utrecht University.

Papers
More filters
Book

Theory of Neural Information Processing Systems

TL;DR: This chapter discusses neural networks, Shannon's information theory, and applications to neural networks in the context of unsupervised and supervised learning.
Book

The mathematical theory of minority games : statistical mechanics of interacting agents

TL;DR: In this paper, the authors present a pseudo-equilibrium replica analysis of a batch MG with fake memory and an online MG with real market history, as well as the overall bid distribution.
Journal ArticleDOI

Acute Immune Signatures and Their Legacies in Severe Acute Respiratory Syndrome Coronavirus-2 Infected Cancer Patients.

TL;DR: In this paper, the authors investigated how the immune system may be affected by SARS-CoV-2 infection of cancer patients, including those with advanced disease, and showed that recovered solid cancer patients' immunophenotypes resemble those of non-virus-exposed cancer patients.
Journal ArticleDOI

Dynamics of fully connected attractor neural networks near saturation.

TL;DR: An exact dynamical theory is presented, valid on finite time scales, to describe the fully connected Hopfield model near saturation in terms of deterministic flow equations for order parameters and reproduces the saddle-point equations obtained in the thermodynamic analysis.
Journal ArticleDOI

Coupled dynamics of fast spins and slow interactions in neural networks and spin systems

TL;DR: In this paper, the authors examined an Ising spin system in which both spins and the interactions between them may evolve in time, although on disparate timescales, such that the couplings change adiabatically.