ARC Complex Open Systems Research Network

ARC Complex Open Systems Research Network

Dr Mark McDonnell

Dr Mark McDonnell

 
Research Fellow, University of South Australia

Address: Institute for Telecommunications Research
University of South Australia
Mawson Lakes Campus
SPRI Building, Mawson Lakes Blvd
Mawson Lakes South Australia 5095 AUSTRALIA
Phone: +61 8 83023341
Fax: +61 83023817
Email: mark.mcdonnell@unisa.edu.au
Webpage: http://www.eleceng.adelaide.edu.au/personal/mmcdonne
Research Node: South Australia
 
 

Role in Network


Academic - Researcher


COSNet Research Themes

    2. Turbulence and Coherent Structures, Control and Computation
    4. Network Theory
    5. Cellular Automata, Agent-Based Modelling and Simulation

COSNet Application Areas

    1. Complex Physical Systems
    2. Complex Biological Systems
    3. Complex Computational Systems
 

Research Topics

Biological signal transduction
Biological computation
Stochastic resonance
Suprathreshold stochastic resonance
Analog-to-digital converter circuits
Information theory
Cochlear implant signal processing  

Publications

BOOKS

McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2008) "Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantisation", Accepted by Cambridge University Press (Accepted 2006, In press)

BOOK CHAPTERS

McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2007). “Models of information transfer through neural populations with suprathreshold stochastic resonance,” Book chapter in Emerging Brain-Inspired Nano-Architectures, Eds. V. Beiu & U. Rueckert, Imperial College Press (accepted 14 Jun. 2005)

JOURNAL PUBLICATIONS

McDonnell M D, Stocks N G and Abbott D (2007). “Optimal stimulus and noise distributions for information transmission via suprathreshold stochastic resonance,” Physical Review E 75, Art. No. 061105.

McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2006). “Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance,” Physics Letters A 352, pp. 183-189.


McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2005). “Quantization in the presence of large amplitude threshold noise,” Fluctuation and Noise Letters 5, pp. L457-L468.


McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2003). “Stochastic resonance and data processing inequality,” IEE Electronics Letters 39, pp. 1287-1288.

McDonnell M D, Abbott D and Pearce C E M (2002). “An analysis of noise enhanced information transmission in an array of comparators,” Microelectronics Journal 33, pp. 1079-1089.

McDonnell M D, Abbott D and Pearce C E M (2002) “A Characterization of suprathreshold stochastic resonance in an array of comparators by correlation coefficient,” Fluctuation and Noise Letters 2, pp. L205-L220.

McDonnell M D, Possingham H P, Ball I R and Cousins E A (2002). “Mathematical Methods for Spatially Cohesive Reserve Design,” Journal of Environmental Modelling and Assessment 7, pp. 107-114.

SELECTED CONFERNENCE PAPERS

Stocks N G, Nikitin A P, Shulgin B V, Morse R P, McDonnell M D and Abbott D (2007) “A biomimetic approach to signal coding: suprathreshold stochastic resonance with applications” (Invited Plenary Talk), Proc. SPIE Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems IV, 21-23 May 2007, Florence, Italy.

McDonnell M D and Stocks N G, (2007) “Optimal coding of a random stimulus by a population of parallel neuron models,” Proc. SPIE Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems IV, 21-23 May 2007, Florence, Italy (in press, Invited paper).

Amblard P O, Zozor S, McDonnell M D and Stocks N G (2007). “Pooling networks for a discrimination task: noise-enhanced detection,” Proc. SPIE Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems IV, 21-23 May 2007, Florence, Italy (in press, Invited paper).

Martorell F, McDonnell M D, Abbott D and Rubio A (2007). “SNDR enhancement in noisy sinusoidal signals by non-linear processing elements,” Proc. SPIE Fluctuations and Noise in Noise in Circuits, Devices, and Materials, 21-23 May 2007, Florence, Italy (in press).

McDonnell M D (2007). “Signal Estimation Via Averaging of Coarsely Quantised Signals,” Proc IEEE Information, Decision and Control, 11-14 February 2007, Adelaide, Australia, pp 100-105.

McDonnell M D and Abbott D (2006), “A Biologically Inspired Model for Signal Compression,” Proc. SPIE Biomedical Applications of Micro- and Nanoengineering III, 11-13 December 2006, Adelaide Australia, 6416, Art. No. 64160Q.

McDonnell M D, Amblard P O, Stocks N G, Zozor S and Abbott D, “High-resolution optimal quantization for stochastic pooling networks,” Proc. SPIE Complexity and Nonlinear Dynamics, 11-13 December 2006, Adelaide Australia, 6417, Art. No. 641706 (Invited paper)

McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2005). “How to use noise to reduce complexity in quantization,” Proc. SPIE Complex Systems, 11-14 December 2005, Brisbane, Australia, 6039, pp. 115-126.

McDonnell M D, Stocks N G, Pearce C E M and Abbott D (2004). “Analog to digital conversion using suprathreshold stochastic resonance,” Proc. SPIE Smart Structures, Devices, and Systems II, 12-16 December 2004, Sydney, Australia, vol. 5649, pp 75-84.
 

Grants

2006 ARC Discovery Grant, DP0770747, "A lossy compression paradigm for sensory neural coding", Mark McDonnell, 3 years APD Fellowship, $231,090  

Membership/Fellowship of Key Organisations

IEEE
SPIE
APESMA  

Awards and Distinctions

2006 Postgraduate Alumni University Medallist, The University of Adelaide
2006 The Gertrude Rohan Prize, The University of Adelaide