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Hire Dr. Martin C.

United Kingdom

USD 100 /hr

Freelance scientist and expert science communicator

Profile Summary

I am a computer scientist and computational neuroscientist with a wide range of interests which include modelling, software tools, public engagement and educational work. I have experience of working in research teams, science festivals, the media, museums, and schools on scientific, mathematical and (particularly) transdisciplinary projects at all levels.

Subject Matter Expertise

• ☆ Computer Simulation/Computational Modeling
• ☆ Neural Networks
• ☆ Science Education

Services

• Writing
• Research
• Data & AI

Writing Technical Writing

Research Feasibility Study

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Work Experience

Associate Lecturer

University of Plymouth

July 2010 - Present

External Consultant

Danish Meteorological Institute

June 2021 - October 2021

Senior Research Fellow

University of Lapland

June 2016 - May 2021

Associate Lecturer

University of Plymouth

August 2009 - August 2018

Schools Outreach

Royal Institution of Great Britain

June 2015 - June 2017

Senior Researcher

University of Reading

April 2014 - April 2016

Research Fellow

University of Plymouth

July 2005 - June 2015

Education

Ph.D. (Centre for Neural and Adaptive Systems)

University of Plymouth

August 2001 - June 2005

M.Sc. (Distinction) (Centre for Neural and Adaptive Systems)

Plymouth University

August 2000 - July 2001

B.Sc. Hons (Chemistry)

University of Essex

August 1979 - June 1982

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Martin Coath and Ilona Mettiäinen and Roxana Contreras and Jusu Toivonen and John Moore(2021). Enabling transdisciplinary research: Suggestions for avoiding `road-blocks' based on a case study . Open Research Europe. 1. p. 147. F1000 Research Ltd

Martin Coath, Ilona Mettiäinen, Roxana Contreras, Jusu Toivonen, John Moore (2021). Enabling transdisciplinary research: Suggestions for avoiding `road-blocks' based on a case study . Open Research Europe.

Mettiäinen, Ilona and Contreras, Roxana and Coath, Martin(2018). Model Information Utilization Report, Blue-Action Case Study Nr. 1 (D5.2) . Zenodo. Zenodo

Lesser, Pamela and Toivonen, Jusu and Coath, Martin and Contreras, Roxana(2017). End Users Needs Report: Weather And Climate Data For Northern Finnish Winter Tourism Centers (D5.1) . Zenodo. Zenodo

Coath, Martin(2017). How Scientific Is That? A Practical Guide to Discuss the Power and Limitations of Science in Secondary Schools. School Science Review. 99. (367). p. 34--37. ERIC

Denham SL, Coath M, Háden GP, Murray F, Winkler I, Advances in experimental medicine and biology, 2016, vol. 894, pp. 409-417, 2016 .

Martin Coath, Susan Denham(2015). The role of form in modeling auditory scene analysis . The Journal of the Acoustical Society of America. 137. (4). p. 2249--2249. Acoustical Society of America ({ASA})

Coath, M., Sheik, S., Chicca, E., Indiveri, G., Denham, S.L., Wennekers, T.(2014). A robust sound perception model suitable for neuromorphic implementation . Frontiers in Neuroscience. (8 JAN).

Coath M, Sheik S, Chicca E, Indiveri G, Denham SL, Wennekers T, Frontiers in neuroscience, 2013, vol. 7, pp. 278, 2013 .

Denham S, Bendixen A, Mill R, Tóth D, Wennekers T, Coath M, Bőhm T, Szalardy O, Winkler I, Journal of neuroscience methods, 2012, vol. 210, no. 1, pp. 79-92, 2012 .

Mill R, Coath M, Wennekers T, Denham SL, Brain research, 2012, vol. 1434, pp. 178-188, 2012 .

Denham, S., Bendixen, A., Mill, R., Tóth, D., Wennekers, T., Coath, M., Bohm, T., Szalardy, O., Winkler, I.(2012). Characterising switching behaviour in perceptual multi-stability . Journal of Neuroscience Methods. 210. (1). p. 79-92.

Sheik S, Coath M, Indiveri G, Denham SL, Wennekers T, Chicca E, Frontiers in neuroscience, 2012, vol. 6, pp. 17, 2012 .

Sheik, S., Coath, M., Indiveri, G., Denham, S.L., Wennekers, T., Chicca, E.(2012). Emergent auditory feature tuning in a real-time neuromorphicVLSI system . Frontiers in Neuroscience. (FEB).

Mill, R., Coath, M., Wennekers, T., Denham, S.L.(2012). Characterising stimulus-specific adaptation using a multi-layer field model . Brain Research. 1434. p. 178-188.

Mill R, Coath M, Wennekers T, Denham SL, PLoS computational biology, 2011, vol. 7, no. 8, pp. e1002117, 2011 .

Mill R, Coath M, Wennekers T, Denham SL, Neural computation, 2011, vol. 23, no. 2, pp. 435-476, 2011 .

Mill, R., Coath, M., Wennekers, T., Denham, S.L.(2011). Abstract stimulus-specific adaptation models . Neural Computation. 23. (2). p. 435-476.

Coath M, Mill R, Denham SL, Wennekers T, Advances in experimental medicine and biology, 2011, vol. 718, pp. 7-17, 2011 .

Mill, R., Coath, M., Wennekers, T., Denham, S.L.(2011). A neurocomputational model of stimulus-specific adaptation to oddball and markov sequences . PLoS Computational Biology. 7. (8).

Balaguer-Ballester E, Clark NR, Coath M, Krumbholz K, Denham SL, PLoS computational biology, 2009, vol. 5, no. 3, pp. e1000301, 2009 .

Balaguer-Ballester, E., Clark, N.R., Coath, M., Krumbholz, K., Denham, S.L.(2009). Understanding pitch perception as a hierarchical process with top-down modulation . PLoS Computational Biology. 5. (3).

Coath, M., Denham, S.L., Smith, L.M., Honing, H., Hazan, A., Holonowicz, P., Purwins, H.(2009). Model cortical responses for the detection of perceptual onsets and beat tracking in singing . Connection Science. 21. (2-3). p. 193-205.

Coath M, Balaguer-Ballester E, Denham SL, Denham M, Bio Systems, 2008, vol. 94, no. 1-2, pp. 60-67, 2008 .

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). p. 60-67.

Balaguer-Ballester E, Coath M, Denham SL, Biological cybernetics, 2007, vol. 97, no. 5-6, pp. 479-491, 2007 .

Balaguer-Ballester, E., Coath, M., Denham, S.L.(2007). A model of perceptual segregation based on clustering the time series of the simulated auditory nerve firing probability . Biological Cybernetics. 97. (5-6). p. 479-491.

Coath M, Denham SL, Bio Systems, 2007, vol. 89, no. 1-3, pp. 182-189, 2007 .

Coath, M., Denham, S.L.(2007). The role of transients in auditory processing . BioSystems. 89. (1-3). p. 182-189.

Coath M, Denham SL, Biological cybernetics, 2005, vol. 93, no. 1, pp. 22-30, 2005 .

Coath, M., Denham, S.L.(2005). Robust sound classification through the representation of similarity using response fields derived from stimuli during early experience . Biological Cybernetics. 93. (1). p. 22-30.

Coath, M., Brader, J.M., Fusi, S., Denham, S.L.(2005). Multiple views of the response of an ensemble of spectro-temporal features support concurrent classification of utterance, prosody, sex and speaker identity . Network: Computation in Neural Systems. 16. (2-3). p. 285-300.

BOOK

Billingsley, Berry and Abedin, Manzoorul and Chappell, Keith(2018). A Teacher�s Guide to Science and Religion in the Classroom. Routledge

Denham, S.L., Coath, M., Háden, G.P., Murray, F., Winkler, I.(2016). Relative pitch perception and the detection of deviant tone patterns . Advances in Experimental Medicine and Biology. 894. p. 409-417.

Coath, M., Mill, R., Denham, S.L., Wennekers, T.(2011). Emergent feature sensitivity in a model of the auditory thalamocortical system . Advances in Experimental Medicine and Biology. 718. p. 7-17.

REPORT

Coath, Martin(2016). The SKV Algorithm as a Tool in Image Processing . Plymouth University

CONFERENCE PAPER

Kovacs, A., Kiss, G., Vicsi, K., Winkler, I., Coath, M.(2016). Comparison of skewness-based salient event detector algorithms in speech . 6th IEEE Conference on Cognitive Infocommunications, CogInfoCom 2015 - Proceedings. p. 285-290.

OTHER

Martin Coath, Susan L Denham, Salvador Dura-Bernal, Emili Balaguer-Ballester(2010). 6. Neurocomputational models of perceptual organization . Unconscious Memory Representations in Perception. p. 147--177. John Benjamins Publishing Company

Martin Coath, Emili Balaguer-Ballester, Nicholas R. Clark, Katrin Krumbholz, Susan L. Denham(2010). Understanding Pitch Perception as a Hierarchical Process with Top-Down Modulation . The Neurophysiological Bases of Auditory Perception. p. 201--209. Springer New York