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Dan Goodman is an Associate Professor in the Department of Electrical and Electronic Engineering at Imperial College London. His research focuses on uncovering the principles underlying neural computation, particularly exploring how timed spikes contribute to brain function. He has significantly contributed to the development of software tools for modeling spiking neurons, notably the 'Brian' spiking neural network simulator. His research interests include sensory processing through complex and realistic stimuli, with a primary emphasis on the auditory system. Goodman actively leads the Neural Reckoning Group, examining information processing in neural networks and their implications for understanding cognition.
Imperial College London • London, United Kingdom
Teaching and research in the Department of Electrical and Electronic Engineering, with a focus on neural computation and spiking neural networks.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.