Conor Houghton
Affiliations: | TCD, Dallas, TX, United States |
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| Burroughs A, Wise AK, Xiao J, et al. (2016) The dynamic relationship between cerebellar Purkinje cell simple spikes and complex spike spikelet number. The Journal of Physiology |
| Hales CA, Robinson ES, Houghton CJ. (2016) Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats. Plos One. 11: e0152592 |
| Houghton C. (2015) Calculating mutual information for spike trains and other data with distances but no coordinates. Royal Society Open Science. 2: 140391 |
| Lynch EP, Houghton CJ. (2015) Parameter estimation of neuron models using in-vitro and in-vivo electrophysiological data. Frontiers in Neuroinformatics. 9: 10 |
| Houghton C. (2014) Supervised learning with complex spikes and spike-timing-dependent plasticity. Plos One. 9: e99635 |
| Pearlmutter BA, Houghton CJ. (2013) Dreams, mnemonics, and tuning for criticality. The Behavioral and Brain Sciences. 36: 625-6; discussion 63 |
| Julienne H, Houghton C. (2013) A simple algorithm for averaging spike trains. Journal of Mathematical Neuroscience. 3: 3 |
| Kreuz T, Chicharro D, Houghton C, et al. (2013) Monitoring spike train synchrony. Journal of Neurophysiology. 109: 1457-72 |
| Houghton C, Kreuz T. (2012) On the efficient calculation of van Rossum distances. Network (Bristol, England). 23: 48-58 |
| Gillespie JB, Houghton CJ. (2011) A metric space approach to the information channel capacity of spike trains. Journal of Computational Neuroscience. 30: 201-9 |