Professor Sue Denham

Professor Sue Denham


School of Psychology (Faculty of Health and Human Sciences)


Professor in Cognitive and Computational Neuroscience


1995, Ph.D. in Computing, University of Plymouth, Neural Models of Subcortical Auditory Processing

1995, SEDA Teaching in Higher Education

1992, B.Sc. Honours in Computer Science (with distinction), University of South Africa

1980, B.Sc. in Physics (with distinction), University of South Africa

Teaching interests

Neurobiology and Modelling of the Auditory System, Biological Psychology, Brain-inspired Cognitive Systems, Foundations of Theoretical Neuroscience, Sensors and Sensor Systems, Machine Learning, Knowledge Engineering, Artificial Intelligence, Programming for Artificial Intelligence

Programme management:

1997-2000, MSc in Computational Intelligence

1994-1997, MSc in Intelligent Systems

Research interests

Sounds provide us with useful information about our environment which complements that provided by other senses. The sound world is essentially transparent; we can perceive many different sounds simultaneously, and from any direction. Sounds are easy to generate and manipulate, and so provide an excellent means for communication. However, it is the very aspects which make sounds useful that pose difficult problems for auditory processing. How does the auditory system disentangle signals from different sound sources? How does the brain form representations which allow it to link intermittent sounds from the same source through time? How does it deal with ambiguity? And how are our expectations molded both by previous experience and the current listening context? The aims of my research are to understand auditory cognition using perceptual experiments and computational models, and to apply this understanding in the development of computationally efficient implementations for practical technological applications, and in the creation of novel devices.

Research degrees awarded to supervised students



  • Banavas GN (2000). 'Prognosis - Historical pattern matching for economic forecasting and trading'.
  • Khurshid A (2002). 'Pitch estimation for noisy speech'.
  • Packham ISJ (2004). 'An interactive visualisation system for engineering design using evolutionary computing'.
  • Lanyon LJ (2005). 'A biased competition computational model of spatial and object-based attention mediating active visual search'.
  • Coath M (2006). 'A computational model of auditory feature extraction and sound classification'.
  • Turner H (2007). 'The evolution of language universals: Optimal design and adaptation'.
  • Jiang B (2010). 'A biophysical model of the role of the outer hair cell in cochlear nonlinearity'
  • Dura Bernal S (2010). 'A cortical model of object perception based on Bayesian networks and belief propagation'.
  • Davies LA (2011). 'Encoding strategies and mechanisms underpinning adaptation to stimulus statistics in the rat barrel cortex'.
  • Tyagi V (2017). 'The Risky side of Creativity: A Scientific Investigation of Creativity and Domain Specific Risk Taking'
  • Mihaela Taranu (2018). 'Commonalities and differences in visual and auditory perceptual multistability'.

Grants & contracts

  • Denham S (Coordinator + 26 others, Plymouth University), 23 international parners (2013-2017). EU FP7 Marie Curie Initial Training Network (FP7-PEOPLE-2013-ITN-IDP 604764; €4.1m) "CogNovo: Cognitive Innovation". 
  • Denham SL, Andringa T. Auditory Cognition Summer School, EUCogIII 15,000 euro 
  • Cangelosi PI and project coordinator, Wennekers and Denham Co-I, S. Furber (Manchester), F. Pulvermuller (MRC Cambridge and Free University Berlin). With ARM, HONDA HRI and TMSUK Japan as industrial advisors. UK EPSRC-BBSRC, £1,600,000 (£1,200.000 at Plymouth) “BABEL: Bio-inspired Architecture for Brain Embodied Language” (2012-15). 
  • Denham SL, Wennekers T, Winkler I, Indiveri G, Klump G, Andreou A, Giorgiou J. acoustic SCene ANalysis for Detecting Living Entities (SCANDLE); 2009-2012. Cognitive Systems (FP7-ICT-231168), 2,650,000 euro.
  • Crow F, Prior D, Hanscomb L, Denham SL, Watts G, Jouan S. Tranquility is a state of mind; Wellcome Trust’s Engaging Science grants, July 2008 (£30,000).
  • Denham SL, Denham MJ, Miranda ER, Deco G, Serra X, Winkler I, Honing H (2005-2008). 'Emergent Cognition through Active Perception'. Oct 2005-Sept 2008. IST-FET Open (FP6-013123), 1,948,000 euro.
  • Denham MJ (PI), Denham SL, Dudek P, Furber S, Hausser M, Panzeri S, Roth AE, Schnupp JW, Thomson AM, van Rossum M, Wennekers,T, Willshaw DJ (2005-2010). ‘A novel computing architecture for cognitive systems based on the laminar microcircuitry of the neocortex’, EPSRC, £1,812,000.
  • Braun J, Denham SL, Del Guidice P, Deco G, Indeveri G, Fusi S (2002-2005). ‘Attend-to-learn and learn-to-attend with neuromorphic, analogue VLSI, European Commission, Information Societies Technologies Programme, IST-FET Open (RTD), 2,277,158 euro.
  • Denham SL (2000-2001). 'Modelling the recognition of complex sounds', Research Fellowship, The Leverhulme Trust, £16,836.
  • Evans EH, Worsfold PJ, McCabe SL (1997-1999). 'Improved Elemental Assay using Atomic Spectroscopy’. £ 98,919.

Creative practice & artistic projects

Crow F, Prior D, Hanscomb L, Denham SL, Watts G, Jouan S. Tranquility is a state of mind; Wellcome Trust’s Engaging Science grants, July 2008 (£30,000).

Research groups

  • Centre for Research in Brain, Cognition and Behaviour (CBCB)
  • Brain
  • Computer Science and Informatics
  • Theoretical & Computational Neuroscience

Refereed Journal Articles:
  • Tyagi, V., Hanoch, Y., choma, B., Denham, S.L. (2018, accepted). The ‘right’ side of creativity:Creative personality and social risk-taking predict political party affiliation. Creativity research Journal.
  • Singh, R.K., Xu, Y., Wang, R., Hamilton, T.J., Denham, S.L., van Schaik, A. (accepted, 2018). CAR-Lite: A Multi-Rate Cochlear Model on FPGA for Spike-based Sound Encoding. IEEE Transactions on Circuits and Systems I, p 1-13.
  • Denham, S.L., Farkas, D., van Ee, R., Taranu, M., Kocsis, Z., Wimmer, M., Carmel, D., Winkler, I. (2018). Similar but separate systems underlie perceptual bistability in vision and audition. Nature Scientific Reports. doi: 10.1038/s41598-018-25587-2.
  • Melidis C., Denham SL., Hyland, ME. (2018). A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms. Biosystems. pii: S0303-2647(17)30243-5. doi: 10.1016/j.biosystems.2017.12.010.
  • Farkas, D., Denham, S.L., Winkler, I. (2018). Functional brain networks underlying idiosyncratic switching patterns in multistable auditory perception. Neuropsychologia. 2018 Jan 8;108:82-91. doi: 10.1016/j.neuropsychologia.2017.11.032.
  • Denham, S.L., Winkler, I. (2018). Predictive coding in auditory perception: challenges and unresolved questions. European Journal of Neuroscience, doi: 10.1111/ejn.13802.
  • Punt, M., Denham, S.L.(2017). Cognitive Innovation, Irony and Collaboration. AVANT, Vol. VIII, Special Issue, ISBN: 978-83-944622-04-6, DOI: 10.26913/80s02017.0111.0002
  • Wennekers, T., Emmett, M., Denham, S.L. (2017). ConversationPiece II: Displaced and Rehacked. AVANT, Vol. VIII, Special Issue, ISBN: 978-83-944622-04-6, DOI: 10.26913/80s02017.0111.0019
  • Tyagi V, Hanoch Y, Hall SD,Runco M and Denham SL (2017). The Risky Side of Creativity: Domain Specific Risk Taking in Creative Individuals. Front. Psychol. 8:145. doi: 10.3389/fpsyg.2017.00145
  • Kondo HM, Farkas D, Denham SL, Asai T, Winkler I. (2017). Auditory multistability and neurotransmitter concentrations in the human brain. Phil. Trans. R. Soc. B 372: 20160110.
  • Denham, S.L., Punt, M. (2017). Creativity and Cognitive Innovation: A View From the Bridge. Leonardo 50:2
  • Szabo, B.T., Denham, S.L., Winkler, I. (2016). Computational models of auditory scene analysis: A review. Front Neurosci.;10:524
  • Farkas D, Denham SL, Bendixen A, Tóth D, Kondo HM, et al. (2016) Auditory Multi-Stability: Idiosyncratic Perceptual Switching Patterns, Executive Functions and Personality Traits. PLoS ONE 11(5): e0154810. doi: 10.1371/journal.pone.0154810
  • Farkas, Dávid and Denham, Susan L. and Bendixen, Alexandra and Winkler, István (2016). Assessing the validity of subjective reports in the auditory streaming paradigm, J. Acoust. Soc. Am., 139, 1762-1772, DOI:
  • Denham SL,Coath M, Háden GP, Murray F, Winkler I (2016). Relative Pitch Perception and the Detection of Deviant Tone Patterns. Adv Exp Med Biol. ;894:409-17. doi:10.1007/978-3-319-25474-6_43.).
  • Bendixen A., Denham, S.L., Winkler, I. (2014). Feature predictability flexibly supports auditory stream segregation or integration. Acta Acoustica, 100, 888-899. doi 10.3813/AAA.918768
  • Shestopalova L, Bőhm TM , Bendixen A, Andreou AG, GeorgiouJ, Garreau G, Hajdu B, Denham SL, Winkler I (2014). Do audio-visual motion cues promote segregation of auditory streams? Front. Neurosci. March 2014
  • Szalárdy, O.,Bendixen, A., Bőhm, T., Davies, LA., Denham, SL., Winkler, I. (2014). Primitive and higher order cues in auditory stream segregation. J. Acoust. Soc. Am. 135 , 1392 ;
  • Denham S, Bõhm TM, Bendixen A, Szalárdy O, Kocsis Z, Mill R and Winkler I (2014) Stable individual characteristics in the perception of multiple embedded patterns in multistable auditory stimuli. Front. Neurosci. 8:25. doi: 10.3389/fnins.2014.00025 
  • Coath, M., Sheik, S., Chicca, E., Indiveri, G., Denham, S.L., Wennekers, T (2014). A Robust Sound Perception Model Suitable for Neuromorphic Implementation. Front Neurosci. 2014 Jan 17;7:278. doi: 10.3389/fnins.2013.00278
  • Schröger, E., Bendixen, A., Denham, S. L., Mill, R. W., Bőhm, T. M., Winkler, I. (2013). Predictive regularity representations in violation detection and auditory stream segregation: from conceptual to computational models. Brain Topogr. 2014 Jul;27(4):565-77. doi: 10.1007/s10548-013-0334-6. 
  • Rumbell, T., Denham, S.L., Wennekers, T.  (2013, in press). A Spiking Self-Organising Map combining STDP, Oscillations and Continuous Learning of Representations. IEEE Transactions on Neural Networks and Learning Systems 
  • Dura-Bernal S, Garreau G, Georgiou J, Andreou A,  Denham SL, Wennekers T (2013). Multimodal integration of micro-Doppler sonar and auditory signals for behavior classification with convolutional networks. International Journal of Neural Systems. doi:10.1142/S0129065713500214
  • Bőhm, T.M., Shestopalova, L., Bendixen, A., Andreou, A.G., Georgiou, J., Garreau, G., Pouliquen, P., Cassidy, A., Denham, S.L., Winkler, I. (2013 ). Spatial location of sound sources biases auditory stream segregation but their motion does not. J. Learning & Perception, 2, 55-72.  
  • Bendixen, A., Bőhm, T.M., Szalárdy, O., Mill, R., Denham, S.L., Winkler, I. (2013). Different roles of similarity and predictability in auditory stream segregation’. J. Learning & Perception, 2, 37-54. 
  • O. Szalárdy, A. Bendixen, D. Tóth, S. L. Denham & I. Winkler (2013). 'Modulation-frequency acts as a primary cue for auditory stream segregation', Special issue of the Journal Learning & Perception, 2, 149-161.
  • Denham, S.L., Gymesi, K., Stefanics, G., Winkler, I. (2013). 'Multistability in auditory stream segregation: the role of stimulus features in perceptual organisation', Journal Learning & Perception, 2, 73–100. 
  • Adams, S.V., Wennekers, T., Denham, S and Culverhouse, P.F. (2013), ‘Adaptive training of cortical feature maps for a robot sensorimotor controller’, Neural Networks 44:6–21.
  • Mill, R., Bőhm, T., Bendixen, A., Winkler, I., and Denham. S.L. (2013). Modelling the Emergence and Dynamics of Perceptual Organisation in Auditory Streaming. PLoS Comput Biol 9(3): e1002925. doi:10.1371/journal.pcbi.1002925
  • Dura-Bernal S, Wennekers T, Denham SL (2012) Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation. PLoS ONE 7(11): e48216. doi:10.1371/journal.pone.0048216
  • Humble, J., Denham, S.L., Wennekers, T. (2012). Spatio-temporal pattern recognisers using spiking neurons and spike-timing-dependent plasticity. Frontiers in Computational Neuroscience. 6:84. doi: 10.3389/fncom.2012.00084
  • Denham SL, Bendixen A, Mill R, Toth D, Wennekers T, Coath M, Bőhm T, Szalardy O, Winkler I. (2012). 'Characterising Switching Behaviour in Perceptual Multistability', J Neurosci Methods, 210(1):79-92. Epub 2012 Apr 21.
  • Winkler, I., Denham, S.L., Mill, R., Bőhm, T.M., Bendixen, A. (2012). Multistability in auditory stream segregation: A predictive coding view. Proc. Royal Soc. B Biol Sci. 367(1591):1001-12.
  • Davies, L.A., Garcia-Lazaro, J.A., Schnupp, J., Wennekers, T., Denham, S.L. (2012). Tell me something interesting: Context dependent adaptation in somatosensory cortex Journal of Neuroscience Methods, 210(1):35-48. 2011 Dec 13. [Epub ahead of print]
  • Sheik, S., Coath, M., Indiveri, G., Denham, S.L., Wennekers,T., Chicca, E. (2012). Emergent auditory feature tuning in areal-time neuromorphic VLSI system’. Frontiers in NeuromorphicEngineering, 6, 10.3389/fnins.2012.00017 
  • Mill, R., Coath, M., Wennekers, T., Denham, S.L. (2011). 'Characterising Stimulus-Specific Adaptation Using a Multi-Layer Field Model', Brain Res. 2012 Jan 24; 1434:178-88
  • Mill, R., Sheik, S., Indiveri, G., Denham, S.L. (2011). 'A Model of Stimulus-Specific Adaptation in Neuromorphic  Analog VLSI', IEEE Transactions on Biomedical Circuits and Systems; 5(5), 413-419. 
  • Mill, R., Coath, M., Wennekers, T., Denham, S.L. (2011). 'Novelty and rarity responses in a model of stimulus specific adaptation', PLoS Comput Biol. 2011 Aug;7(8):e1002117. Epub 2011 Aug 18. 
  • Coath M, Mill R, Denham SL, Wennekers T. (2011). Emergent feature sensitivity in a model of the auditory thalamocortical system. Adv Exp Med Biol.;718:7-17.
  • Dura-Bernal S, Wennekers T, Denham SL. (2011). The role of feedback in a hierarchical model of object perception. Adv Exp Med Biol.;718:165-79.
  • Humble J, Furber S, Denham SL, Wennekers T. (2011). STDP Pattern Onset Learning Depends on Background Activity. Adv Exp Med Biol.;718:19-31.
  • Rumbell, T., Barnden,J., Denham, S.L.,  Wennekers, T. (2011, in press). Emotions in autonomous agents: comparative analysis of mechanisms and functions.  Autonomous Agents and Multi-Agent Systems.
  • Mill, R., Coath, M., Wennekers,T., Denham, S.L. (2011). 'Abstract Stimulus-Specific Adaptation Models', Neural Computation. 23(2): 435-76
  • Bendixen, A., Denham, S.L., Gymesi,K., Winkler, I. (2010). 'Regular patterns stabilize auditory streams', J.Acoust. Soc. Am. 128(6): 3658-66
  • Lanyon, L.L., Denham, S.L.(2010). ‘Modelling Visual Neglect: Computational Insights into Conscious Perception’, PLoS One, June 2010 | Volume 5 | Issue 6 | e11128. 
  • Winkler I, Denham SL, Nelken I. (2009). Modeling the auditory scene: predictive regularity representations and perceptual objects. Trends Cogn Sci.;13(12):532-40. doi: 10.1016/j.tics.2009.09.003. 
  • Martin D. Vestergaard, Gábor P.Háden, Yury Shtyrov, Roy D. Patterson, Friedemann Pulvermüller, Sue L. Denham,István Sziller, István Winkler (2009). ‘Auditory size-deviant detection in adults and newborn infants’. Biol Psychol 82, 169-175. 
  • Ballaguer-Ballester, E., Clark,N., Coath, M., Krumbholz, K., Denham, S.L. (2009). 'Understanding PitchPerception as a Multi-Scale Hierarchical Generative Process', PLoS Computational Biology, 1009 Mar; 5(3). e1000301 
  • Coath, M., Denham, S.L., Smith,L.M., Honing, H., Hazan, A., Holonowicz, P., Purwins, H. (2009). An auditory model for the detection of perceptual onsets and beat tracking in singing. Connection Science, 21:2, 193-205.
  • Lanyon, L.J. & Denham, S.L.(2009) Modelling attention in individual cells leads to a system with realistic saccade behaviours. Cogn Neurodyn 3, 223-242 
  • Ballaguer-Ballester, E.,Denham, S.L., Meddis, R. (2008), 'A cascade autocorrelation model of pitch perception', J. Acoust. Soc. Am., 124(4), 2186-2195. 
  • Haden, G., Stefanics, G.,Vestergaard, M.D., Denham, S.L., Sziller, I., Winkler, I. (2008).'Timbre-independent extraction of pitch in newborn infants', Psychophysiology,46, 69-74. 
  • Coath, M., Balaguer-Ballester,E., Denham, S.L., Denham M. (2008). The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex. Biosystems, 94(1-2):60-7. 
  • Ballaguer-Ballester, E., Coath,M., Denham, S.L. (2007), 'A model of perceptual segregation based on clustering the time series of simulated auditory nerve activity', Biological Cybernetics,97:479-491. 
  • Coath, M., Denham, S.L. (2007).'The role of onsets in auditory processing', BioSystems, 89(1-3), 182-189.
  • Denham, S.L. & Winkler, I.(2006). 'The role of predictive models in the formation of auditory streams',J. Physiology Paris, 100, 154-170.
  • Rafiq, M.Y., Packham, I.S.J.,Easterbrook, D.J., Denham, S.L. (2006). 'Visualising search and solution spaces in the optimum design of biaxial columns', J. Comp. in Civ. Engrg. 20, 88-98.
  • Coath, M., Brader, J.M., Fusi,S., Denham, S.L. (2005). “Multiple views of the response of an ensemble ofspectrotemporal features support concurrent classification of utterance prosody, sex and speaker identity”, Network: Computation in Neural Systems. Vol16(2/3), p. 285-300.
  • Packham, I.S.J., Rafiq, M.Y.,Borthwick, M.F., Denham, S.L. (2005). "Interactive visualisation for decisionsupport and evaluation of robustness—in theory and in practice", Advanced Engineering Informatics, 19(4), p. 263-280. 
  • Coath, M. & Denham, S.L.(2005). “Robust sound classification through the representation of similarityusing response fields derived from stimuli during early experience”. Biological Cybernetics. 93(1): p. 22-30. 
  • Denham, S.L. (2005)."Dynamic Iterated Ripple Noise: further evidence for the importance oftemporal processing in auditory perception", BioSystems, 79(1-3),199-206.
  • Khurshid A. & Denham, S.L.(2004). "A Temporal Analysis Based Pitch Estimation System for NoisySpeech with a Comparative Study of Performance of Recent Systems" IEEET ransactions on Neural Networks, Vol. 15(5), 1112-1124.
  • Lanyon, L. J. & Denham,S.L. (2004). "A model of active visual search with object-based attentionguiding scan paths". Neural Networks, Vol. 17(5-6), 873-897
  • Lanyon, L. J. & Denham,S.L. (2004). "A biased competition computational model of spatial andobject-based attention mediating active visual search". Neuro Computing,Vol. 58-60C, 655-662. 

Book Chapters and refereed articles:
  • Denham, S.L.(2014). Auditory sensing systems. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference ( Springer-Verlag Berlin Heidelberg, 2014. 
  • Denham, S.L., Winkler, I. (2014). Auditory perceptual organisation. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference ( Springer-Verlag Berlin Heidelberg, 2014. 
  • Winkler I., Denham S., Escera C. (2014). Auditory Event Related Potentials. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference ( Springer-Verlag Berlin Heidelberg, 2014. DOI: 10.1007/SpringerReference_348164 2013-11-20 15:55:36 UTC 
  • Denham, S.L., Winkler, I. (2013). Auditory Perceptual Organization. To appear in: Oxford Handbook of Perceptual Organization, Oxford University Press, Edited by Johan Wagemans
  • Denham, S.L., Dura-Bernal, S., Balaguer-Ballester, E., Coath, M. (2010). Neurocomputational models of perceptual organisation, in Winkler, I. and Czigler, I. (ed.s), 'Unconscious memory representations in perception: Processes and mechanisms in the brain', in the series "Advances in Consciousness", 147-178.
  • Denham, S.L., Gymesi, K., Stefanics, G., Winkler, I. (2009). 'Stability of perceptual organisation in auditory streaming', , in Lopez-Poveda, E.A., Palmer, A.R., Meddis, R. (ed.s) 'The Neurophysiological Bases of Auditory Perception', Springer, 477-488.
  • Ballaguer-Ballester, E., Clark, N., Coath, M., Krumbholz, K., Denham, S.L. (2009). 'Understanding Pitch Perception as a Multi-Scale Hierarchical Generative Process', in Lopez-Poveda, E.A., Palmer, A.R., Meddis, R. (ed.s) 'The Neurophysiological Bases of Auditory Perception', Springer, 201-210.
  • Lanyon, L. J. & Denham, S.L. (2005) A model of spatial & object-based attention for active visual search. Modelling Language, Cognition and Action: Proceedings of the 9th Neural Computation & Psychology Workshop. Eds: A Cangelosi, G Bugmann, R Borisyuk. World Scientific, Progress in Neural Processing, 16, 239-248
  • Lanyon, L.J. & Denham, S.L. (2004) A model of active visual search with object-based attention guiding scan paths'. Grossberg, S, Finkel, L, Field, D (ed.s) Vision and the Brain: How ther brain sees; new approaches to computer vision:873-97.
  • Denham, S.L. (2001). "Cortical synaptic depression and auditory perception". In Computational Models of Auditory Function, Greenberg S, Slaney M (ed.s), NATO ASI Series, IOS Press, Amsterdam, 281-296.
  • Denham, S.L. & Denham, M.J. (2001). "An investigation into the role of cortical synaptic depression in auditory processing". In Emergent Neural Computational Architectures based on Neuroscience, Wermter S, Austin J, Willshaw D (ed.s), Lecture Notes in Artificial Intelligence, Springer, 494-506.

  • Denham, S.L., Gummerum, M. (2014). Cognitive Innovation: From Cell to Society. European Journal of Psychology, 10(4), doi:10.5964/ejop.v10i4.879
  • Deike, S., Denham, S.L., Sussman, E. (2014). Probing Auditory Scene Analysis. Editorial to the Special Issue on Auditory Scene Analysis.Front Neurosci. 2014 Sep 12;8:293. doi: 10.3389
  • Denham, S.L. (2014). Marie meets Leonardo: A perfect match? Leonardo: Journal of the International Society for the Arts, Sciences and Technology 47(3), p202.

  • Denham, S. and Punt, M. eds., (2016). Off the Lip Conference Proceedings 2015. Plymouth: TT OA Papers.
  • Probing auditory scene analysis Edited by: Elyse S Sussman, Susan Denham, Susann Deike. Frontiers Media SA. ISBN: 978-2-88919-371-4. Frontiers Research Topic Ebook

Conference Proceedings: 
  • Bendixen, A., Denham, S. L. & Winkler, I. (2013). Sound predictability as a higher-order cue in auditory scene analysis. In AIA-DAGA 2013, International Conference on Acoustics (pp. 705-708). Berlin: Deutsche Gesellschaft für Akustik.
  • Winkler, I., Bőhm, T.M., Bendixen, A., Mill, R.W., & Denham, S.L. (2012). Modeling auditory stream segregation by predictive processes. Proceedings of the 3rd International Conference on Cognitive Infocommunications (CogInfoCom) (pp. 479-483). Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/CogInfoCom.2012.6422029.
  • Dura-Bernal, S., Garreau, G., Andreou, C., Andreou, A.G., Georgiou, J., Wennekers, T., Denham, S.L. (2011). In Human Behavior Understanding, Salah, A.A., Lepri, B. (eds.), Lecture Notes in computer Science, 7065, 18-28, doi: 10.1007/978-3-642-25446-8
  • Georgiou, J. et al. (2011). A multimodal-corpus data collection system for cognitive acoustic scene analysis, 45th Annual Conference on Information Sciences and Systems, 7-12.
  • Salvador Dura-Bernal, Thomas Wennekers, Susan L. Denham (2011). Modelling object perception in cortex using hierarchical Bayesian networks and belief propagation, 45th International Conference on Information Sciences and Systems, Johns Hopkins University, USA, 23-25 March 2011.
  • Robert Mill, Tamás Bőhm, Alexandra Bendixen, István Winkler, and Susan L. Denham (2011). CHAINS: Competition and Cooperation between Fragmentary Event Predictors in a Model of Auditory Scene Analysis, 45th International Conference on Information Sciences and Systems, Johns Hopkins University, USA, 23-25 March 2011.
  • Susan L. Denham, Kinga Gyimesi, Gábor Stefanics, and István Winkler (2009). Stability of perceptual organisation in streaming.  International Symposium on Hearing, Salamanca,June 2009.
  • Ballaguer-Ballester, E., Clark,N., Coath, M., Krumbholz, K., Denham, S.L., (2009). 'Understanding PitchPerception as a Multi-Scale Hierarchical Generative Process', International Symposium on Hearing, Salamanca, June 2009.
  • Ernest Montbrió, Rita Almeida,Johan Larsson, Sue Denham and Gustavo Deco (2008). 'A model of the primary auditory cortex response to sequences of pure tones', CNS2008, Portland,Oregon, USA, July 19-24 2008.
  • Stefanics G., Háden G., SzillerI., Huotilainen M., Vestergaard M.D., Balázs L., Beke A., Fellman V., DenhamS.L., Winkler I. Higher-level auditory skills in newborn infants. FENS2008 (6th Forum of European Neuroscience Societies), Geneva, Switzerland, July 12-16 2008
  • Cassidy , A. (JHU), Denham,S.L. (UoP), Kanold, P. (UMaryland), Andreou, A. (JHU). FPGA Based SiliconSpiking Neural Array. IEEE BioCAS 2007, Biomedical Circuits and Systems Conference, Montreal, Canada, Nov 2007
  • Coath, M., Denham, S.L., Smith,L.M., Honing, H., Hazan, A., Holonowicz, P., Purwins, H. (2007). An auditory model for the detection of perceptual onsets and beat tracking in singing.Neural Information Processing Systems, Workshop on Music Processing in theBrain, Vanc., Dec  2007.
  • Balaguer-Ballester, E., Coath,M., Denham, S.L. A firing-rate hierarchical model of temporal integration inpitch perception. In: Coherent behavior in neuronal networks, Palma de Mallorca, Spain.  October 17-20 2007.
  • Denham, S.L., Coath, M.,Balaguer-Ballester, E. Sparse Time-Frequency representations in auditory processing, 19th Int. Congress on Acoustics, Madrid, September 2007.
  • Denham, S.L. and M. Coath. A model based upon response fields derived during early experience can account for the interference effects of synthetically degraded speech signals. inPSP2005: ISCA Workshop on Plasticity in Speech Perception. 2005. London.

Reports & invited lectures

  • Keynote talk CNS 2017, Antwerp, July 15-20 2017
  • Invited talk, The Active Auditory System, Bad Honnef, Germany, Feb 19-22, 2017
  • Research Seminar, Bournemouth University, May 2016
  • 'Worlding the Brain', Amsterdam, March 2016
  • 'Closing the Auditory Loop', Hannover October 2015
  • British Aerosol Manufacturer's Forum, The Belfry, October 2015
  • Computational Neuroscience meeting (CNS), Prague, July 2015
  • International Symposium onHearing, Groningen, June 2015
  • 7th Annual School of Psychology Conference, Plymouth, June 2015
  • Auditory scene analysis in the Natural environment. ASA Spring Meeting, Pittsburgh, May 2015
  • “Debrecen University Symposium”, Debrecen, Hungary, October 8-9, 2014. 
  • "Dynamics of Multistable Perception and Decision Making" mini-symposium, SIAM Life Sciences meeting, Charlotte, NC, August 4-7, 2014
  • Workshop and Summer School on "Auditory Attention and Scene Analysis", Hanse-Wissenschaftskolleg, Delmenhorst, Germany July 21-23 2014
  • MRC Institute of Hearing, Nottingham, November 2013
  • 18th Meeting of the European Society for Cognitive Psychology. ESCOP 2013, Budapest Aug/Sept 2013.
  • The MARCS Institute, University of Western Sydney, 17 June 2013.
  • NeuroArts-Noise as glue as bouyancy. International symposium on electronic Arts, Sydney, June 2013
  • From neuromorphic neural systems to cognitive behaving systems. Capo Caccia Neuromorphic Engineering Workshop, Sardinia, April/May 2013.
  • Symposium on Computational Audition, British Neuroscience Association Meeting, London 7-10 April 2013
  • Auditory Scene Analysis : From Sounds to Meaning, International Conference in Psychology, Cape Town, July 22-27 2012.
  • Open challenges in auditory scene analysis, Acoustics 2012, Hong Kong, May 13-18 2012. Highlighted - to appear on the ASA's "World Wide Press Room"
  • 6th conference on Mismatch Negativity, New York, May 1-4 2012.
  • Cooperative Research Center "Active listening", Magdeburg, January 12 2012.
  • Workshop on Mathematical Models of Cognitive Architectures, Marseille 5-9 December 2011.
  • Workshop on Computational Audition, Delmenhorst 24-26 October 2011.
  • School of Informatics, University of Edinburgh. 15 March 2011.
  • Professorial Inaugural Lecture, University of Plymouth, 26 January 2011.
  • Symposium on Perceptual Bistability, Budapest, 15 December 2010
  • Cogsys 2010, 4th International Conference on Cognitive Systems, 27-28 January 2010, Zurich, Switzerland.
  • Workshop on Scene Analysis in Vision and Audition, Wissenschaftskolleg, 23-24 April 2009, Berlin, Germany
  • Fifth Conference on Mismatch Negativity(MMN) and its Clinical and Scientific Applications April 4-7, 2009,Budapest, Hungary 
  • Workshop on Bi-stability in perceptual organisation, CNRS Paris, 5 July 2008.
  • Invited speaker, session on “Integrated approaches to auditory scene analysis”, Joint meeting of Acoustical Society of America, the European Acoustics Association, and the Société Française d'Acoustique, Paris June 29-July 4, 2008.
  • Zoophysiology and Behaviour Group, Dept of Biology and Behavioural Sciences, University of Oldenburg, Germany; 1 Feb 2008.
  • Centre for Computer Music Research, Univ. of Plymouth; 19 Nov 2007.
  • Novartis Foundation discussion meeting on 'Auditory Objects', London, 1-2 October 2007
  • Special session 'Computational models of the auditory system', International Congress on Acoustics, Madrid 2-7 Sept 2007.
  • 2007 Telluride Workshop on Neuromorphic Engineering, Telluride, CO, USA . July, 2007.
  • Neuromorphic Spring Meeting, Sardinia, April12-16, 2007.
  • FP6 coordinating action 'PEACH' workshop, Barcelona, 23 June 2006.
  • Gatsby Institute, UCL, London, 14 June 2006.
  • New Ideas in Hearing, CNRS, Paris, 12/13 May 2006.
  • Making Sense of Sounds, Univ. of Plymouth, 10 May 2006.
  • MRC Institute of Hearing, Nottingham, 14 March 2006.
  • Workshop on Auditory Scene Analysis, 'Computational and Systems Neuroscience (COSYNE)2006' (March 9-10) Utah, USA
  • Dept of Computer Science, University of Sheffield, November 2005.
  • 2005 Telluride Workshop on Neuromorphic Engineering, Telluride, CO, USA . June/July, 2005.
  • Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, January 2004.
  • MRC Centre for the Neural Basis of Hearing, University of Cambridge, May 2002.

Other academic activities

Section Editor: Springer Encyclopedia of Computational Neuroscience

Frontiers in Neuroscience topic: "Probing auditory scene analysis", host editor

Referee for the following journals and research councils:
  • Journal of the Acoustical Society of America
  • PLoS Computational Biology
  • Perception and Psychophysics
  • Psychophysiology
  • Journal of Experimental Psychology: Human Perception and Performance
  • Speech Communication
  • Hearing Research
  • Brain Research
  • NeuroComputing
  • IEEE Transactions on Biomedical Engineering
  • Neural Networks
  • Network: Computation in Neural System
  • IEEE Transactions on Neural Networks
  • IEEE Audio and Media
  • Neurocomputing
  • BioSystems
  • ESRC
  • MRC
  • Wellcome
  • US Air force Office of Scientific Research
  • Israeli Science Foundation
  • Dutch National Science Foundation (NWO)
  • Royal Society
  • Research Council for Natural Sciences and Engineering at the Academy of Finland