Group photo

The Neural Reckoning Group is led by Dan Goodman. It is part of the Intelligent Systems and Networks group in the Department of Electrical and Electronic Engineering at Imperial College London. Follow us on Twitter @neuralreckoning.

We aim to understand the brain, and intelligent behaviour more widely, via theoretical and computational models.

We are particularly interested in sensory processing, primarily the auditory system, where our goal is to understand how we make sense of complex, natural environments.

One of the most striking operating principles of the brain is the use of highly connected, parallel networks of neurons communicating via precisely timed, discrete neural impulses (called "spikes"). This spike-based form of computation is specific to the brain, being radically different to conventional digital and analogue computation. We wish to uncover the principles underlying spike-based neuronal computation, both as a fundamental research problem and with an eye to wider applications in intelligent systems.

Underlying much of our work is neuroinformatics, or the application of computational methods in neuroscience. We are particularly interested in the simulation of spiking neural networks and the analysis of experimentally recorded spiking data (see Software).

You can see a complete list of our publications, take a look at some visualisations of our research themes or look at our recent and selected publications below.

We maintain a short list of resources for learning computational neuroscience that might be useful to students and people new to the field.