Professor Leslie Smith

Emeritus Professor

Computing Science Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA

Professor Leslie Smith

Contact details

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http://www.stir.ac.uk/people/lesliesmith

About me

B,.Sc. (Mathematics) Glasgow 1973, Ph.D. (Computing Science) Glasgow 1981. Lecturer Glasgow University 1980-83. Lecturer/Senior Lecturer/Reader/Professor Stirling 1984-present. Head of Department 1999-2002 and 2008-2013. Now emeritus (as of 3 October 2018), intent on spending more time on research, particularly on early auditory processing and computational neuroscience.  See the ORCID link https://orcid.org/0000-0002-3716-8013 for publications. Almost all of them are also available through my personal web page, http://www.cs.stir.ac.uk/~lss

Community Contribution

International Neuroinformatics Co-ordinating Facility UK representative

https://www.incf.org
International Neuroinformatics Co-ordinating Facility (INCF) is an international organisation aiming to standardise neuroscience data, and to help researchers internationally to share data and processing techniques. I was the UK node representative from 2014 to 2016

Event / Presentation

A biologically inspired onset and offset speech segmentation approach. International Joint Conference on Neural Networks
IEEE (Institute of Electrical and Electronics Engineers)

A noise robust Arabic speech recognition system based on the echo state network. 167th Meeting of the Acoustical Society of America

http://acousticalsociety.org/meetings/providence

Spectrotemporal Gabor filters for feature detection. 167th Meeting of Acoustical Society of America

http://acousticalsociety.org/meetings/providence

A novel approach combining recurrent neural network and support vector machines for time series classification. 9th International Conference on Innovations in Information Technology (IIT), 2013

http://www.it-innovations.ae/iit2013/index.html

Am I Spiking neurons?. Seminar given at Imperial College, London

Biologically-inspired neural coding of sound onset for a musical sound classification task. The 2011 International Joint Conference on Neural Networks
IEEE (Institute of Electrical and Electronics Engineers)

http://www.ieee.org/…ml?Conf_ID=18284
IJCNN 2011 will include paper presentations, tutorials, workships, panels, special sessions and competitions on topics related to neural networks, including: Neural network theory and models; neural network applications; computational neuroscience; neurocognitive models; neuroengineering; neuroinformatics; neuroevolution; collective intelligence; embodied robotics; artificial life, etc.

Memory Efficient On-Line Streaming for Multichannel Spike Train Analysis. 33rd Annual International IEEE EMBS Conference
IEEE (Institute of Electrical and Electronics Engineers)

http://www.ieee.org/…Conf_ID%3D13666/
The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

Using spiking onset neurons and a recurrent neural network for musical sound classification. 161st Meeting of the Acoustical Society of America

A New Biology: A modern perspective on the challenge of closing the gap between the islands of knowledge. ServiceWave 2010 Workshops

Events, Neural Systems and Time Series. ServiceWave 2010 Workshops

A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data. ICCSDE'09: The 2009 International Conference of Computational Statistics and Data Engineering: London, U.K., 1-3 July, 2009
International Association of Engineers (IAENG)

http://www.iaeng.org/WCE2009/ICCSDE2009.html

Adaptation of barn owl localization system with spike timing dependent plasticity. IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). Hong Kong, 1-8 June 2008
IEEE (Institute of Electrical and Electronics Engineers)

http://www.ieee.org/…ml?Conf_ID=13382

Artificial general intelligence: an organism and level based position statement. The First Conference on Artificial General Intelligence (AGI-08), March 1-3, 2008, University of Memphis
University of Memphis

http://agi-conf.org/2008/

Neuromorphic Systems: past, present and future. Brain Inspired Cognitive Systems 2008, (BICS 2008)

The CARMEN Virtual Laboratory: Web-Based Paradigms for Collaboration in Neurophysiology. 6th International Meeting on Substrate-Integrated Micro Electrode Arrays
University of Tuebingen (Eberhard Karls)

http://www.nmi1.de/meameeting2008/

Onset-based Sound Segmentation. 9th Annual Conference on Neural Information Processing Systems (NIPS)

Professional membership

Life Senior Member of the IEEE (LSMIEEE)
IEEE (Institute of Electrical and Electronics Engineers)

Member of the Acoustical Society of America
Acoustical Society of America

Research (4)

Computational neuroscience (modelling of neural systems), early auditory processing (particularly biologially inspired methods, including neuromorphic approaches, as well as algorithms for hearing aids), neural networks (both in simulation and as  neuromorphic systems). I am a member of the Data Science Research Group. 

Projects

Neuro-network Meeting (May 2016)
PI: Professor Leslie Smith
Funded by: The Wellcome Trust
–

A multichannel adaptive integrated MEMS/CMOS microphone.
PI: Professor Leslie Smith
Funded by: Engineering and Physical Sciences Research Council
–

INBIOSA - INtegral BIOmathics Support Action
PI: Professor Leslie Smith
Funded by: European Commission (Horizon 2020)
–

CARMEN: Code analysis, repository, and modelling for Neuroscience
PI: Professor Leslie Smith
Funded by: Engineering and Physical Sciences Research Council
–

Outputs (158)

Outputs

Showing 100 of 158 — See all 158 outputs

Conference Proceeding

Coding and Decoding Speech using a Biologically Inspired Coding System

Pahar M & Smith LS (2020) Coding and Decoding Speech using a Biologically Inspired Coding System. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australia, 01.12.2020-04.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci47803.2020.9308328

Conference Proceeding

Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features

Abel A, Gao C, Smith L, Watt R & Hussain A (2018) Fast Lip Feature Extraction Using Psychologically Motivated Gabor Features. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, 18.11.2018-21.11.2018. Piscataway, NJ, USA: IEEE, pp. 1033-1040. https://doi.org/10.1109/SSCI.2018.8628931

Conference Proceeding

Comparing hyper-heuristics with blackboard systems

Graham K & Smith L (2017) Comparing hyper-heuristics with blackboard systems. In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017. GECCO 2017: The Genetic and Evolutionary Computation Conference, Berlin, Germany, 15.07.2017-19.07.2017. New York: Association for Computing Machinery, Inc, pp. 1141-1145. https://doi.org/10.1145/3067695.3082055

Conference Proceeding

A biologically inspired onset and offset speech segmentation approach

Abel A, Hunter D & Smith L (2015) A biologically inspired onset and offset speech segmentation approach. In: 2015 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks, Killarney, Ireland, 12.07.2015-17.07.2105. Washington DC, USA: IEEE Computer Society. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7280347&tag=1; https://doi.org/10.1109/IJCNN.2015.7280347

Conference Proceeding

An analysis of the local optima storage capacity of Hopfield network based fitness function models

Swingler K & Smith L (2014) An analysis of the local optima storage capacity of Hopfield network based fitness function models. In: Nguyen N, Kowalczyk R, Fred A & Joaquim F (eds.) Transactions on Computational Collective Intelligence XVII. Lecture Notes in Computer Science, 8790. Berlin Heidelberg: Springer, pp. 248-271. http://link.springer.com/chapter/10.1007/978-3-662-44994-3_13; https://doi.org/10.1007/978-3-662-44994-3_13

Book Chapter

Onset/offset filters for the segmentation of sound

Smith L (2014) Onset/offset filters for the segmentation of sound. In: Levy J, Bairaktaris D, Bullinaria J & Cairns P (eds.) Connectionist Models of Memory and Language. PLE: Memory ed. Psychology Library Editions: Memory. Hove: Psychology Press, pp. 247-268. http://www.routledge.com/books/details/9781848723771/

Meeting Abstract

Spectrotemporal Gabor filters for feature detection

Smith L & Abel A (2014) Spectrotemporal Gabor filters for feature detection. 167th Meeting of Acoustical Society of America, Providence, RI, USA, 05/05/2014 - 09/05/2014. Journal of the Acoustical Society of America, 135 (4), p. 2297. http://scitation.aip.org/content/asa/journal/jasa/135/4/10.1121/1.4877554; https://doi.org/10.1121/1.4877554

Meeting Abstract

A noise robust Arabic speech recognition system based on the echo state network

Alalshekmubarak A & Smith L (2014) A noise robust Arabic speech recognition system based on the echo state network. 167th Meeting of the Acoustical Society of America, Providence, RI, USA, 05/05/2014 - 09/05/2014. Journal of the Acoustical Society of America, 132 (4), p. 2195. http://scitation.aip.org/content/asa/journal/jasa/135/4/10.1121/1.4877154; https://doi.org/10.1121/1.4877154

Conference Proceeding

Mixed order associative networks for function approximation, optimisation and sampling

Swingler K & Smith L (2013) Mixed order associative networks for function approximation, optimisation and sampling. In: ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013, Bruges, Belgium, 24.04.2013-26.04.2013. ESANN, pp. 23-28. http://www.i6doc.com/en/livre/?GCOI=28001100131010

Conference Proceeding

A novel approach combining recurrent neural network and support vector machines for time series classification

Alalshekmubarak A & Smith L (2013) A novel approach combining recurrent neural network and support vector machines for time series classification. In: 2013 9th International Conference on Innovations in Information Technology, IIT 2013. 9th International Conference on Innovations in Information Technology (IIT), 2013, Abu Dhabi, UAE, 17.03.2013-19.03.2013. Piscataway, NJ, USA: IEEE, pp. 42-47. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6544391&abstractAccess=no&userType=inst; https://doi.org/10.1109/Innovations.2013.6544391

Book Chapter

Stepping beyond the Newtonian Paradigm in Biology

Simeonov PL, Brezina EH, Cottam R, Ehresmann AC, Gare A, Goranson T, Gomez Ramirez J, Josephson BD, Marchal B, Matsuno K, Root-Bernstein RS, Rossler OE, Salthe SN, Schroeder MJ, Seaman B, Siregar P & Smith L (2012) Stepping beyond the Newtonian Paradigm in Biology. In: Simeonov P, Smith L & Ehresmann A (eds.) Integral Biomathics: Tracing the Road to Reality. Berlin Heidelberg: Springer, pp. 319-417. http://link.springer.com/chapter/10.1007/978-3-642-28111-2_31#

Conference Proceeding

Perceptual time, perceptual reality, and general intelligence

Smith L (2012) Perceptual time, perceptual reality, and general intelligence. In: Bach J, Goertzel B & Ikle M (eds.) Artificial General Intelligence: 5th International Conference, AGI 2012, Oxford, UK, December 8-11, 2012. Proceedings. Lecture Notes in Computer Science, 7716. 5th International Conference, AGI 2012, Oxford, UK, 08.12.2012-11.12.2012. Berlin Heidelberg: Springer, pp. 292-301. http://link.springer.com/chapter/10.1007/978-3-642-35506-6_30#; https://doi.org/10.1007/978-3-642-35506-6_30

Article

Creating, documenting and sharing network models

Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V & van Albada S (2012) Creating, documenting and sharing network models. Network: Computation in Neural Systems, 23 (4), pp. 131-149. http://informahealthcare.com/doi/abs/10.3109/0954898X.2012.722743; https://doi.org/10.3109/0954898X.2012.722743

Edited Book

From Brains to Systems: Brain-Inspired Cognitive System 2010

Hernandez C, Sanz R, Gomez Ramirez J, Smith L, Hussain A, Chella A & Aleksander I (eds.) (2011) From Brains to Systems: Brain-Inspired Cognitive System 2010. Advances in Experimental Medicine and Biology, 718. New York: Springer. http://link.springer.com/book/10.1007/978-1-4614-0164-3/page/1

Lecture

Am I Spiking neurons?

Smith L (2011) Am I Spiking neurons? (Presentation) Seminar given at Imperial College, London, London, 07.12.2011-07.12.2011.

Conference Proceeding

Memory Efficient On-Line Streaming for Multichannel Spike Train Analysis

Yu B, Mak T, Smith L, Sun Y, Yakovlev A & Poon C (2011) Memory Efficient On-Line Streaming for Multichannel Spike Train Analysis. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 2011. 33rd Annual International IEEE EMBS Conference, Boston, Massachusetts USA, 30.08.2011-01.09.2011. Boston: Institute of Electrical and Electronics Engineers (IEEE), pp. 2315-2318. https://doi.org/10.1109/IEMBS.2011.6090648

Conference Proceeding

Events, Neural Systems and Time Series

Smith L, Metz D, Bao J & Bizarro P (2011) Events, Neural Systems and Time Series. In: Cezon M & Wolfsthal Y (eds.) Towards a Service-Based Internet. ServiceWave 2010 Workshops. Lecture Notes in Computer Science, Volume 6569. ServiceWave 2010 Workshops, Ghent, Belgium, 13.12.2010-15.12.2010. Heidelberg: Springer, pp. 196-202. http://www.springer.com/computer/swe/book/978-3-642-22759-2; https://doi.org/10.1007/978-3-642-22760-8_22

Conference Proceeding

A New Biology: A Modern Perspective on the Challenge of Closing the Gap between the Islands of Knowledge

Simeonov PL, Ehresmann AC, Smith L, Gomez Ramirez J & Repa V (2011) A New Biology: A Modern Perspective on the Challenge of Closing the Gap between the Islands of Knowledge. In: Cezon M & Wolfsthal Y (eds.) Towards a Service-Based Internet. ServiceWave 2010 Workshops. Lecture Notes in Computer Science, volume 6569. ServiceWave 2010 Workshops, Ghent, Belgium, 13.12.2010-15.12.2010. Heidelberg: Springer, pp. 188-195. http://www.springer.com/computer/swe/book/978-3-642-22759-2; https://doi.org/10.1007/978-3-642-22760-8_21

Conference Proceeding

Biologically-inspired neural coding of sound onset for a musical sound classification task

Newton M & Smith L (2011) Biologically-inspired neural coding of sound onset for a musical sound classification task. In: The 2011 International Joint Conference on Neural Networks (IJCNN). The 2011 International Joint Conference on Neural Networks, San Jose, California USA, 31.07.2011-05.08.2011. San Jose, California: Institute of Electrical and Electronics Engineers (IEEE), pp. 1386-1393. https://doi.org/10.1109/IJCNN.2011.6033386

Conference Proceeding

Design of a Spike Event Coded RGT Microphone for Neuromorphic Auditory Systems

Koickal TJ, Latif R, Gouveia L, Mastropaolo E, Wang S, Hamilton A, Cheung R, Newton M & Smith L (2011) Design of a Spike Event Coded RGT Microphone for Neuromorphic Auditory Systems. In: 2011 IEEE International Symposium on Circuits and Systems (ISCAS). 2011 IEEE International Symposium on Circuits and Systems, Rio de Janeiro, Brazil, 15.05.2011-18.05.2011. Hoboken, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 2465-2468. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5938103; https://doi.org/10.1109/ISCAS.2011.5938103

Meeting Abstract

Using spiking onset neurons and a recurrent neural network for musical sound classification

Newton M & Smith L (2011) Using spiking onset neurons and a recurrent neural network for musical sound classification. 161st Meeting of the Acoustical Society of America, Seattle, WA, USA, 23/05/2011 - 27/05/2011. Journal of the Acoustical Society of America, 129 (4 part 2), pp. 2486-2486. http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=JASMAN000129000004002486000003&idtype=cvips&prog=normal

Conference Paper

Neuromorphic Systems: past, present and future

Smith L (2010) Neuromorphic Systems: past, present and future. Hussain A (Editor), Aleksander I (Editor), Smith LS (Editor), Barros AK (Editor), Chrisley R (Editor) & Cutsuridis V (Editor) Brain Inspired Cognitive Systems 2008, (BICS 2008), Sao Luis, Brazil, 24.06.2008-27.06.2008. Advances in Experimental Medicine and Biology, pp. 167-182. Advances in Experimental Medicine and Biology, Volume 657, Part 2, 657, part 2. http://www.icsc-naiso.org/conferences/bics2008/bics_2008.html; https://doi.org/10.1007/978-0-387-79100-5_9

Edited Book

Brain Inspired Cognitive Systems 2008

Hussain A, Aleksander I, Smith L, Barros AK, Chrisley R & Cutsuridis V (eds.) (2010) Brain Inspired Cognitive Systems 2008. Advances in Experimental Medicine and Biology, 657. New York, USA: Springer. http://www.springerlink.com/content/978-0-387-79099-2/#section=640242&page=4&locus=0; https://doi.org/10.1007/978-0-387-79100-5

Conference Proceeding

Reconstruction of Cross-Sectional Missing Data Using Neural Networks

Gheyas IA & Smith L (2009) Reconstruction of Cross-Sectional Missing Data Using Neural Networks. In: Palmer-Brown D, Draganova C, Pimenidis E & Mouratidis H (eds.) Engineering Applications of Neural Networks: 11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings. Communications in Computer and Information Science, 43. 11th International Conference, EANN 2009, London, UK, 27.08.2009-29.08.2009. Berlin Heidelberg: Springer, pp. 28-34. http://link.springer.com/chapter/10.1007/978-3-642-03969-0_3; https://doi.org/10.1007/978-3-642-03969-0_3

Conference Proceeding

A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data

Gheyas IA & Smith L (2009) A Novel Nonparametric Multiple Imputation Algorithm for Estimating Missing Data. In: Ao S, Gelman L, Hukins D, Hunter A & Korsunsky A (eds.) Proceedings of The World Congress on Engineering 2009: Volume 2. ICCSDE'09: The 2009 International Conference of Computational Statistics and Data Engineering: London, U.K., 1-3 July, 2009, London, UK, 01.07.2009-03.07.2009. Hong Kong: Newswood Limited, pp. 1281-1286. http://www.iaeng.org/publication/WCE2009/WCE2009_pp1281-1286.pdf

Conference Proceeding

A Neural Network Approach to Time Series Forecasting

Gheyas IA & Smith L (2009) A Neural Network Approach to Time Series Forecasting. In: Ao S, Gelman L, Hukins D, Hunter A & Korsunsky A (eds.) Proceedings of The World Congress on Engineering 2009: Volume 2. ICCSDE'09: The 2009 International Conference of Computational Statistics and Data Engineering: London, U.K., 1-3 July, 2009, London, UK, 01.07.2009-03.07.2009. Hong Kong: Newswood Limited, pp. 1292-1296. http://www.iaeng.org/publication/WCE2009/WCE2009_pp1292-1296.pdf

Meeting Abstract

Cepstrum of Bispectrum Spike Detection on Extracellular Signals with Concurrent Intracellular Signals

Shahid S & Smith L (2009) Cepstrum of Bispectrum Spike Detection on Extracellular Signals with Concurrent Intracellular Signals. CNS 2009: Annual Meeting of the Organization for Computational Neurosciences, Berlin, Germany, 18/07/2009 - 23/07/2009. BMC Neuroscience, 10 (Supplement 1), p. P59, Art. No.: P59. https://link.springer.com/article/10.1186/1471-2202-10-S1-P59; https://doi.org/10.1186/1471-2202-10-S1-P59

Article

Silicon neurons

Indiveri G, Douglas R & Smith L (2008) Silicon neurons. Scholarpedia, 3 (3), Art. No.: 1887. https://doi.org/10.4249/scholarpedia.1887

Conference Proceeding

Artificial general intelligence: an organism and level based position statement

Smith L (2008) Artificial general intelligence: an organism and level based position statement. In: Wang P, Goertzel B & Franklin S (eds.) Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference. The First Conference on Artificial General Intelligence (AGI-08), March 1-3, 2008, University of Memphis, Memphis, USA, 01.03.2008-03.03.2008. Amsterdam, The Netherlands: IOS Press, pp. 429-433. http://dl.acm.org/citation.cfm?id=1566218

Conference Proceeding

Assessing new techniques for Spike Detection on MEA data

Shahid S & Smith L (2008) Assessing new techniques for Spike Detection on MEA data. In: Conference Proceedings of the 6th International Meeting on Substrate-Integrated Micro Electrode Arrays July 8-11, 2008, Reutlingen, Germany. BIOPRO, 5. 6th International Meeting on Substrate-Integrated Micro Electrode Arrays, Reutlingen, Germany, 08.07.2008-11.07.2008. Stuttgart, Germany: Baden-Württemberg GmbH, pp. 133-134. http://www.nmi1.de/meameeting2008/MEA_2008_3_Signal_analysis.pdf

Conference Proceeding

Adaptation of Barn Owl Localization System with Spike Timing Dependent Plasticity

Huo J, Murray A, Smith L & Yang Z (2008) Adaptation of Barn Owl Localization System with Spike Timing Dependent Plasticity. In: IEEE (ed.) The 2008 IEEE International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). Hong Kong, 1-8 June 2008, Hong Kong, 01.06.2008-08.06.2008. Hong Kong: Institute of Electrical and Electronics Engineers, pp. 155-160. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4633782; https://doi.org/10.1109/IJCNN.2008.4633782

Conference Proceeding

The CARMEN Virtual Laboratory: Web-Based Paradigms for Collaboration in Neurophysiology

Gibson F, Austin J, Ingram C, Fletcher M, Jackson T, Jessop M, Knowles A, Liang B, Lord P, Pitsilis G, Periorellis P, Simonotto J, Watson P & Smith L (2008) The CARMEN Virtual Laboratory: Web-Based Paradigms for Collaboration in Neurophysiology. In: Conference Proceedings of the 6th International Meeting on Substrate-Integrated Micro Electrode Arrays July 8-11, 2008, Reutlingen, Germany. BIOPRO, 5. 6th International Meeting on Substrate-Integrated Micro Electrode Arrays, Reutlingen, Germany, 08.07.2008-11.07.2008. Stuttgart, Germany: Baden-Württemberg GmbH, pp. 117-120. http://www.nmi1.de/meameeting2008/MEA_2008_3_Signal_analysis.pdf

Book Chapter

Artificial general intelligence: an organism and level based position statement

Smith L (2008) Artificial general intelligence: an organism and level based position statement. In: Wang P, Goertzel B & Franklin S (eds.) Artificial General Intelligence, 2008: Proceedings of the First AGI Conference. Frontiers in Artificial Intelligence and Applications, Volume 171. Amsterdam, The Netherlands: IOS Press, pp. 429-433. http://www.iospress.nl/book/artificial-general-intelligence-2008/

Meeting Abstract

Extracellular spike detection using Cepstrum of Bispectrum

Shahid S & Smith L (2008) Extracellular spike detection using Cepstrum of Bispectrum. Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 , Berlin, Germany, 18/07/2009 - 23/07/2009. Journal of Neuroscience, pp. 1-1. http://www.cs.stir.ac.uk/~lss/recentpapers/sfn2008/SFNposter.pdf

Conference Proceeding

A Novel Technique for Spike Detection in Extracellular Neurophysiological Recordings using Cepstrum of Bispectrum

Shahid S & Smith L (2008) A Novel Technique for Spike Detection in Extracellular Neurophysiological Recordings using Cepstrum of Bispectrum. In: 16th European Signal Processing Conference (EUSIPCO 2008), Lausanne, Switzerland, August 25-29, 2008, volume 2008. EUSIPCO 2008, 16th European Signal Processing Conference, Lausanne, Switzerland, 25.08.2008-29.08.2008. EURASIP. http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/papers/1569101689.pdf

Poster

Testing spike detection techniques using synthetic data

Smith L, Shahid S & Vernier A (2007) Testing spike detection techniques using synthetic data. Society for Neuroscience Meeting 2007, San Diego, CA, USA, 03.11.2007-07.11.2007. http://www.sfn.org/Annual-Meeting/Past-and-Future-Annual-Meetings/2007

Conference Proceeding

Finding events in noisy signals

Smith L, Shahid S, Vernier A & Mtetwa N (2007) Finding events in noisy signals. In: The IET Irish Signals and Systems Conference 13-14 September 2007. IET Irish Signals and Systems Conference, Derry, Northern Ireland, 13.09.2007-14.09.2007. Derry: IET, pp. 31-37.

Conference Proceeding

The CARMEN e-Science pilot project: Neuroinformatics work packages

Smith L, Austin J, Baker S, Borisyuk R, Eglen SJ, Feng J, Gurney K, Jackson T, Kaiser M, Overton P, Panzeri S, Quiroga RQ, Schultz SR, Sernagor E & Smith VA (2007) The CARMEN e-Science pilot project: Neuroinformatics work packages. In: Cox S (ed.) Proceedings of the UK e-Science All Hands Meeting 2007, 10-13 September, Nottingham UK. UK e-Science All Hands Meeting 2007, Nottingham, UK, 10.09.2007-13.09.2007. Edinburgh and Glasgow: University of Edinburgh/University of Glasgow, pp. 591-598. http://www.allhands.org.uk/2007/proceedings/author_index.htm

Book Chapter

Implementing Neural Models in Silicon

Smith L (2006) Implementing Neural Models in Silicon. In: Zomaya A (ed.) Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies. New York: Springer, pp. 433-475. http://link.springer.com/chapter/10.1007/0-387-27705-6_13#

Conference Proceeding

Cost minimisation and Reward maximisation. A neuromodulating minimal disturbance system using anti-hebbian spike timing-dependent plasticity

Parussel K & Smith L (2005) Cost minimisation and Reward maximisation. A neuromodulating minimal disturbance system using anti-hebbian spike timing-dependent plasticity. In: Proceedings of the Symposium on Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action. AISB 2005: Social Intelligence and Interaction in Animals, Robots and Agents - Symposium on Agents that Want and Like, Motivational and Emotional Roots of Cognition and Action, Hertfordshire, 12.04.2005-15.04.2005. Hertfordshire: AISB, pp. 98-101. http://www.aisb.org.uk/publications/proceedings/aisb2005/2_Agents_Final.pdf

Conference Proceeding

Towards Robot Audition

Smith L (2004) Towards Robot Audition. In: Ilg U, Bulthoff H & Mallot H (eds.) Dynamic Perception: Workshop of the GI Section "Computer Vision", Eberhard Karls University Tubingen, Max Planck Institute for Biological Cybernetics, Tubingen, November 2004. Dynamic Perception: Workshop of the GI Section "Computer Vision", November 2004, Tubingen, Germany. Berlin: IOS Press, pp. 15-20.

Poster

Sound Signal Statistics

Smith L (2004) Sound Signal Statistics. Gordon Research Conference: Sensory Coding and the Natural Environment, Oxford, 05.09.2004-10.09.2004. https://www.grc.org/programs.aspx?year=2004&program=senscod

Meeting Abstract

Biologically inspired robust onset detection

Smith L (2003) Biologically inspired robust onset detection. The 145th Meeting of the Acoustical Society of America, Nashville, TN, USA, 28/04/2003 - 02/05/2003. Journal of the Acoustical Society of America, 113 (3), p. 2198. http://scitation.aip.org/content/asa/journal/jasa/113/4/10.1121/1.4780176; https://doi.org/10.1121/1.4780176

Lecture

Neuron/Electronic Interfacing

Smith L (2003) Neuron/Electronic Interfacing (Presentation) Seminar at Bioengineering Center, Georgia Institute of Technology, Atlanta, GA, USA, 23.04.2003-23.04.2003.

Book Chapter

Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons

Mtetwa N, Smith L & Hussain A (2002) Stochastic resonance and finite resolution in a network of leaky integrate-and-fire neurons. In: Dorronsoro J (ed.) Artificial Neural Networks — ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 Proceedings. Lecture Notes in Computer Science, 2415. Berlin Heidelberg: Springer, pp. 117-122. http://link.springer.com/chapter/10.1007/3-540-46084-5_20#; https://doi.org/10.1007/3-540-46084-5_20

Conference Proceeding

Adaptive control of non-linear system using a new pole-zero placement generalised minimum-variance technique

Zayed AS, Hussain A & Smith L (2002) Adaptive control of non-linear system using a new pole-zero placement generalised minimum-variance technique. In: EIS'2002: Third International NAISO Symposium on engineering of intelligent systems. Third International NAISO Symposium on engineering of intelligent systems, Malaga, Spain, 24.09.2002-27.09.2002. NAISO, p. 103. http://www.icsc-naiso.org/conferences/eis2002/

Conference Proceeding

A new non-linear self-tuning controller incorporating neural networks

Zayed AS, Hussain A & Smith L (2002) A new non-linear self-tuning controller incorporating neural networks. In: EIS'2002: Third International NAISO Symposium on engineering of intelligent systems. Third International NAISO Symposium on engineering of intelligent systems, Malaga, Spain, 24.09.2002-27.09.2002. NAISO, p. 107. http://www.icsc-naiso.org/conferences/eis2002/

Conference Proceeding

Stochastic Resonance and finite resolutions in a leaky integrate-and-fire neuron

Mtetwa N, Smith L & Hussain A (2002) Stochastic Resonance and finite resolutions in a leaky integrate-and-fire neuron. In: ESANN'2002 proceedings - European Symposium on Artificial Neural Networks. ESANN'2002: European Symposium on Artificial Neural Networks, Bruges, Belgium, 24.04.2002-26.04.2002. Louvain: Catholic University of Louvain.

Conference Proceeding

Using IIDs to estimate sound source direction

Smith L (2002) Using IIDs to estimate sound source direction. In: Hallam B, Floreano D, Hallam J, Hayes G & Meyer J (eds.) From animals to animats 7: Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior. Seventh International Conference on Simulation of Adaptive Behavior, Edinburgh, UK, 05.08.2002-09.08.2002. Cambridge, MA, USA: MIT Press, pp. 60-61. http://mitpress.mit.edu/books/animals-animats-7

Conference Proceeding

A new neural network and pole placement based adaptive composite controller

Hussain A, Zayed AS & Smith L (2001) A new neural network and pole placement based adaptive composite controller. In: IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001: Technology for the 21st Century, Proceedings. IEEE International: Multi Topic Conference, 2001. IEEE INMIC 2001: Technology for the 21st Century, Lahore, Pakistan, 28.12.2001-30.12.2001. Piscataway, NJ, USA: IEEE, pp. 267-271. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=995349&abstractAccess=no&userType=; https://doi.org/10.1109/INMIC.2001.995349

Conference Proceeding

A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement

Zayed AS, Hussain A & Smith L (2001) A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement. In: IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001: Technology for the 21st Century, Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001: Technology for the 21st Century, Lahore, Pakistan, 28.12.2001-30.12.2001. Piscataway, NJ, USA: IEEE, pp. 252-256. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=995346&abstractAccess=no&userType=inst; https://doi.org/10.1109/INMIC.2001.995346

Conference Proceeding

Using depressing synapses for phase locked auditory onset detection

Smith L (2001) Using depressing synapses for phase locked auditory onset detection. In: Dorffner G, Bischof H & Hornik K (eds.) Artificial Neural Networks — ICANN 2001: International Conference Vienna, Austria, August 21–25, 2001 Proceedings. Lecture Notes in Computer Science, 2130. International Conference on Artificial Neural Networks — ICANN 2001, Vienna, Austria, 21.08.2001-25.08.2001. Berlin Heidelberg: Springer, pp. 1103-1108. http://link.springer.com/chapter/10.1007/3-540-44668-0_153#; https://doi.org/10.1007/3-540-44668-0_153

Conference Proceeding

Spike I and Spike II: Experiences with analogue VLSI chips

Smith L, Eriksson BE, Glover MA & Hamilton A (2000) Spike I and Spike II: Experiences with analogue VLSI chips. In: Bothe H & Rojas R (eds.) Proceedings of the 2nd ICSC Symposium on Neural Computation, NC2000, Berlin, May 23-26 2000. 2nd ICSC Symposium on Neural Computation, NC2000, Berlin, Germany, 23.05.2000-26.05.2000. Canada: ICSC Academic Press, pp. 888-894.

Conference Proceeding

Using analogue VLSI leaky integrate-and-fire neurons in a sound analysis system

Glover MA, Hamilton A & Smith L (1999) Using analogue VLSI leaky integrate-and-fire neurons in a sound analysis system. In: Prieto A & Andreou A (eds.) Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99, Granada, 07.04.1999-09.04.1999. Los Alamitos, CA, USA: IEEE Computer Society, pp. 90-95. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=758850&refinements%3D4281615493%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A16401%29; https://doi.org/10.1109/MN.1999.758850

Article

Silicon cellular morphology

Breslin C & Smith L (1999) Silicon cellular morphology. International Journal of Neural Systems, 9 (5), pp. 491-495. https://doi.org/10.1142/S0129065799000538

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