Towards a Neural-Based Theory of Emotional Dispositions (2009)
J. G. Taylor, W. A. Fellenz, R. Cowie, E. Douglas-cowie
Abstract: We present underpinning neural structures to represent various components of emotional dispositions. After a description of simple models of the dynamics, an even simpler multi-layer...
Functional Bootstrap: a hardware constrained implementation of on-line bootstrap. (2008)
B. Apolloni, D. Malchiodi, J. G. Taylor
simulator ABSTRACT: We cope with the key step of bootstrap methods of generating a possibly infinite sequence of random data preserving properties of the distribution law, starting from a primary...
2007 Special Issue Resolving some confusions over attention and consciousness (2008)
www.elsevier.com/locate/neunet There is presently an ongoing debate about the relation between attention and consciousness. Thus debate is being fuelled by results from experimental paradigms which...
A1.1 The historical background (2008)
Neural Computation: The Background The brief history of neural network research presented in this section indicates that, although the initial revolution in neural networks lost its early momentum,...
Attention-based Learning (2008)
Abstract-We apply an attention-based framework in the creation of an autonomous robot control system. We use a specific task, that of route planning for a robot in a dynamic environment, to present...
Using features for the storage of patterns in a fully connected net (2007)
One of the many possible conditions for pattern storage in a Hopfield net is to demand that the local field vector be a pattern reconstruction. We use this criterion to derive a set of weights for...
A Pulse-Based Reinforcement Algorithm For Learning Continuous Functions (2007)
D Gorse, J G Taylor, T G Clarkson
Introduction Reinforcement learning [1] has many attractions for neural networks; it is more widely applicable than supervised techniques (since target values are not needed for any of the processing...
B. Apolloni, D. De Falco, S. Iamundo, G. Biella, M. L. Sotgiu, T. Clarkson, ...
We study the functional connections between neurons of thalamo-cortical circuits of the albino rat brain through their spiking time correlation in normal and neuropathic animals. These correlations...
Simulation and bootstrap on a pRAM architecture (2007)
B. Apolloni, A. Brenna, D. De Falco, J. G. Taylor
Abstract We discuss the task of interpolating discrete probability densities resulting from the truncation of the binary representation of continuous random variables. We consider both the case in...
The Storage and Stabilization of Patterns in a Hopfield Net (2007)
Abstract. A set of weight connections called inverse-Hebb couplings have previously been demonstrated by simulation to be capable of storing N patterns in a Hopfield net of N spins. This rule...
W. A. Fellenz, J. G. Taylor, N. Tsapatsoulis, S. Kollias
We compare the performance and generalization capabilities of different low-dimensional representations for facial emotion classification from static face images showing happy, angry, sad, and...
Modelling Consciousness (1996)
The relational mind" approach to the inner content of consciousness is developed in terms of various control structures and processing strategies, and their possible neurobiological...
Density Estimation as a Preprocessing Step for Constructive Algorithms (1995)
J. C. Lemm, V. Beiu, J. G. Taylor
The aim of the paper is to combine the generalization power of classical density estimation techniques with the efficiency of VLSI--friendly, constructive algorithms. This is important for...
Tabu Search for the Radio Links Frequency Assignment Problem (1995)
A. Bouju, J.F. Boyce, Dr. A. Bouju, Dr. J. F. Boyce, J.G. Taylor, ...
. In this paper Tabu Search has been compared with random search on solving a constraint satisfaction problem, namely the Radio Links Frequency Assignment Problem (RLFAP). The effect of...
Noisy reinforcement training for pRAM nets (1994)
Y Guan, T G Clarkson, J G Taylor, D Gorse
The use of additional noise in reinforcement training of probabilistic RAMS (pRAMs) is analysed in the context of pattern recognition. Both simulations and analysis indicate the effectiveness of the...
A Classical Algorithm For Avoiding Local Minima (1994)
D. Gorse, A. Shepherd, J.G. Taylor
This paper has presented results which violate the widespread belief that the only way to avoid local minima in supervised learning problems with complex error-weight surfaces is to use...
We present tentative answers to three questions: firstly, what is to be assumed about the structure of the brain in attacking the problem of modeling consciousness; secondly, what is it about...