Summary
The aim of my research is to uncover the principles underlying neural computation with precisely timed spikes. This is a form of computation specific to the brain, being radically different to both digital and analogue computation. I have developed several software tools for working with spiking neurons, notably the "Brian" spiking neural network simulator. My focus is on sensory processing of complex, realistic stimuli, primarily in the auditory system.
For more information, see my group webpage, the Neural Reckoning Group.
Publications
Journals
Su Y, Chung Y, Goodman DFM, et al., 2021, Rate and Temporal Coding of Regular and Irregular Pulse Trains in Auditory Midbrain of Normal-Hearing and Cochlear-Implanted Rabbits, Jaro-journal of the Association for Research in Otolaryngology, Vol:22, ISSN:1525-3961, Pages:319-347
Achakulvisut T, Ruangrong T, Mineault P, et al., 2021, Towards democratizing and automating online conferences: lessons from the neuromatch conferences, Trends in Cognitive Sciences, Vol:25, ISSN:1364-6613, Pages:265-268
Zheng JX, Pawar S, Goodman DFM, 2021, Further towards unambiguous edge bundling: Investigating power-confluentdrawings for network visualization, Ieee Transactions on Visualization and Computer Graphics, Vol:27, ISSN:1077-2626, Pages:2244-2249
Zenke F, Bohté SM, Clopath C, et al., 2021, Visualizing a joint future of neuroscience and neuromorphic engineering, Neuron, Vol:109, ISSN:0896-6273, Pages:571-575
Perez-Nieves N, Leung VCH, Dragotti PL, et al., 2020, Neural heterogeneity promotes robust learning