Personal

My name is Robert Mill. Please e-mail me at rob.mill.uk (at) gmail.com. You can also find me on LinkedIn.

CV

2012 — now I currently work at the Institute of Hearing Research, Nottingham University Section supported by a career development fellowship.
2009 — 2012 Postgraduate Research Fellow at the Centre for Robotics and Neural Systems / School of Psychology, Plymouth University, working for the EU FP7-funded project SCANDLE. My principal task was to build computer models of stimulus-specific adaptation (SSA) and auditory perception (with a special emphasis on auditory multistability).
2004 — 2009
 Earned a Ph.D. in Computer Science from the University of Sheffield, under the supervision of Dr. Guy J. Brown. My Ph.D. sought to apply auditory modelling techniques to the analysis of passive sonar signals. I was supported by a studentship funded by the UK Ministry of Defence Research Programme.
2001 — 2004
 B.Sc. (1st, hons.) in Artificial Intelligence and Computer Science from the University of Sheffield, under the supervision of Guy Brown. My dissertation was about Java and genetic programming.

Journal Publications

I. Winkler, S. L. Denham, R. Mill, T. M. Bőhm, and A. Bendixen (2012, in press)
Multistability in auditory stream segregation: A predictive coding view.
Phil. Trans. Roy. Soc. Lond. B.

A. Bendixen, T. M. Bőhm, O. Szalardy, R. Mill, S. L. Denham, and I. Winkler (in press)
Different roles of similarity and predictability in auditory stream segregation.
Learning and Perception  [abstract]

R. Mill, M. Coath, T. Wennekers, and S. L. Denham (2012)
Characterising Stimulus-Specific Adaptation Using a Multi-Layer Field Model.
Brain Research, 1434, 178–188

R. Mill, M. Coath, T. Wennekers, and S. L. Denham (2011)
A Neurocomputational Model of Stimulus-Specific Adaptation to Oddball and Markov Sequences.
PLoS Computational Biology, 7(8): e1002117 [pdf]

R. Mill, S. Sheik, G. Indiveri and S. L. Denham (2011)
A Model of Stimulus-Specific Adaptation in Neuromorphic Analog VLSI.
IEEE Transactions on Biomedical Circuits and Systems, , 5(5), 413-419

R. Mill, M. Coath, T. Wennekers and S. L. Denham (2011)
Abstract stimulus-specific adaptation models.
Neural Computation, 23, 435-476

Dissertations

R. Mill, The Application of Auditory Signal Processing Principles to the Detection, Tracking and Association of Tonal Components in Sonar.
Ph.D. Thesis, University of Sheffield, 2008.

R. Mill, A Java API for Genetic Programming.
Undergraduate Dissertation, University of Sheffield, 2004.

Conference Publications and Abstracts

R. Mill, T. Bőhm, A. Bendixen, I. Winkler, S. L. Denham,
Chains: Competition and Cooperation between Fragmentary Event Predictors in a Model of Auditory Scene Analysis.
CISS, Johns Hopkins University, Baltimore, March 2011 (proceedings, oral presentation)

R. Mill, T. Bőhm, A. Bendixen, I. Winkler, S. L. Denham,
Cognitive-Level Modelling of Auditory Scene Analysis.
Cognition at Christmas X Symposium on Perceptual Bistability, Budapest, December 2010 (oral presentation).

R. Mill, S. Sheik, G. Indiveri and S. L. Denham
A Model of Stimulus-Specific Adaptation in Neuromorphic aVLSI
BioCAS, Paphos, November 2010 (proceedings, poster)

R. Mill, M. Coath, T. Wennekers and S. L. Denham, A Spiking-Neuron Model of Rarity and Novelty Detection in Stimulus-Specific Adaptation.
Neural Coding, Limassol, October 2010 (abstract, poster)

M. Coath, R. Mill, S. L. Denham and T. Wennekers
The emergence of feature sensitivity in a recurrent model of auditory cortex with spike timing dependent plasticity.
Proceedings of BICS, Madrid, 2010 (proceedings, work presented by M. Coath)

R. Mill and G. J. Brown
Auditory-motivated techniques for detection and classification of passive sonar signals.
JASA (abstract), 123 (5), p. 3344, 2008.

R. Mill and G. J. Brown
Auditory-inspired interval statistic receivers for passive sonar signal detection.
IEEE Oceans, Aberdeen, June 2007 (proceedings, oral presentation)