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Job title: Professor of Neural Computation

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Rod Adams originally trained as a Mathematician and did a PhD in Mathematical Logic, before converting to Computer Science. His main research interests are currently in neural computation and are all of a biologically inspired nature. Such research has been a major area of growth at UH and is now well established. Projects such as the production of a biologically plausible model of neural outgrowth that has giving rise to self-organising, evolving, neural systems for use in computational neuroscience in, for instance, visual processing tasks, and that allows the evaluation of the effects of neurite morphology on neuron physiology.

Other projects include: a) the analysis of connectivity patterns in the high capacity associative memory models which draws on comparisons with small-world models of connectivity and which is inspired by real neuronal connectivity in the mammalian cortex; b) the evolution of neural controllers for robots, with a particular focus on simulating a chemical substrate within the controller that allows us to model hormonal affects in both the behaviour of the robot and the developmental process itself; c) investigating how meta classifiers can be used to improve the algorithmic identification of cis-regulatory binding sites in sequences of DNA; and d) investigating the automatic prediction of drug permeation rates through human skin.

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