Richard E. Turner
Affiliations: | University of Cambridge, Cambridge, England, United Kingdom |
Area:
auditory and visual sensory processing, Bayesian brain, unsupervised learningGoogle:
"Richard Turner"Mean distance: 14.04 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Roy Patterson | research assistant | Cambridge | |
| Maneesh Sahani | grad student | 2004-2008 | UCL |
| Eero P. Simoncelli | post-doc | 2012-2012 | NYU, University of Cambridge |
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Publications
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| Schlittenlacher J, Turner RE, Moore BC. (2017) A fast test for determining the edge frequency of a dead region The Journal of the Acoustical Society of America. 141: 3635-3635 |
| Gomersall PA, Turner RE, Baguley DM, et al. (2015) Perception of stochastic envelopes by normal-hearing and cochlear-implant listeners. Hearing Research |
| Turner RE, Sahani M. (2014) Time-frequency analysis as probabilistic inference Ieee Transactions On Signal Processing. 62 |
| Henniges M, Turner RE, Sahani M, et al. (2014) Efficient occlusive components analysis Journal of Machine Learning Research. 15 |
| Turner RE, Sahani M. (2012) Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings |
| Turner RE, Sahani M. (2011) Demodulation as probabilistic inference Ieee Transactions On Audio, Speech and Language Processing. 19 |
| Turner RE, Sahani M. (2011) Two problems with variational expectation maximisation for time series models Bayesian Time Series Models |
| Turner RE, Sahani M. (2011) Probabilistic amplitude and frequency demodulation Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 |
| Turner RE, Sahani M. (2010) Statistical inference for single- and multi-band probabilistic amplitude demodulation Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings |
| Berkes P, Turner RE, Sahani M. (2009) A structured model of video reproduces primary visual cortical organisation. Plos Computational Biology. 5: e1000495 |