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Prof. Tony J. Prescott

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Dept Psychology, Univ of Sheffield, UK

In development

     * [5]Skin Mechanics involved in Dynamic Touch
     * [6]Benoit Delhaye

Curator and author

     * [7]The World of Touch
     * (2015) Tony J. Prescott, [8]Volker Dürr

     * [9]Vibrissal behavior and function
     * (2011) Tony J. Prescott, [10]Ben Mitchinson, [11]Robyn Anne Grant

     * [12]Encyclopedia of touch
     * (2012) Tony J. Prescott

     * [13]Action selection
     * (2008) Tony J. Prescott

Articles sponsored or reviewed

     * [14]Schematic framework for theories of perception
     * (2019) [15]Ehud Ahissar, [16]Guy Nelinger, [17]Liron Z Gruber

     * [18]Systems Neuroscience of Touch
     * (2015) [19]Ehud Ahissar, [20]Namrata Shinde, [21]Sebastian Haidarliu

     * [22]Haptic saliency
     * (2015) [23]Astrid M.L. Kappers, [24]Wouter M. Bergmann Tiest

     * [25]Haptic perception of force
     * (2015) [26]Wouter M. Bergmann Tiest, [27]Astrid M.L. Kappers

     * [28]Aftereffects in touch
     * (2015) [29]Astrid M.L. Kappers, [30]Wouter M. Bergmann Tiest

     * [31]See all 58 articles

Recognized contributor

     * [32]Mechanoreceptors and stochastic resonance
     * (2008) [33]Lon A. Wilkens, [34]Frank Moss

     * [35]Vibrissal thalamic modes
     * (2010) [36]Manuel Castro-Alamancos

   Current Appointments
     * Professor of Cognitive Neuroscience in the [37]Department of Psychology,
       University of Sheffield, UK.
     * Director of [38]Sheffield Robotics
     * Co-Director of the University of Sheffield's [39]Adaptive Behaviour Research
       Group
     * Director of the [40]Active Touch Laboratory at Sheffield (ATL@S)
     * Visiting Fellow at [41]Bristol Robotics Laboratory

   Education
     * MA Psychology (honours), University of Edinburgh, 1984.
     * MSc Applied Artificial Intelligence, University of Aberdeen, 1989.
     * PhD, University of Sheffield, 1994.

   [42]Homepage

   Research Interests
   My research is concerned with understanding brain function using methods in the
   computational, neural, and behavioural sciences. An important focus is on
   comparing the control problems faced by animals and robots: (i) using insights
   from robotics and artificial intelligence to understand the control architecture
   of the brain (e.g. 10), (ii) using evidence from brain evolution to inspire the
   design of robot control systems (6), and (iii) using robots to evaluate
   computational models of neural systems and to test hypotheses that are difficult
   to investigate in vivo (4, 8). A key focus of this work has been to understand
   the neural substrates of action selection in the vertebrate brain, particularly
   the basal ganglia (1, 8, 9, 11) and the reticular formation (7). I have also
   applied this general approach to the understanding of active sensing in mammals,
   particularly in the context of vibrissal (whisker) sensing in rats (2, 4, 5). I
   co-cofounded the conference series "Living Machines" which focuses on research in
   biomimetic and biohybrid systems (1), and currently direct the Sheffield Centre
   for Robotics.

   Selected Bibliography
    1. Arkley, K., Grant, R. A., Mitchinson, B. and Prescott, T. J. (2014). Strategy
       change in vibrissal active sensing during rat locomotion. Current Biology.
    2. Grant, R. A., Sharp, P. S., Kennerley, A. J.,, Berwick, J., Grierson, A.,
       Ramesh, T., Prescott, T. J. (2014). Abnormalities in whisking behaviour are
       associated with lesions in brain stem nuclei in a mouse model of amyotrophic
       lateral sclerosis. Behavioural Brain Research. 259, 274-283.
    3. Mitchinson, B., Pearson, M. J., Pipe, A. G., Prescott, T. J. (2014).
       Biomimetic tactile target acquisition, tracking and capture, Robotics and
       Autonomous Systems.
    4. Mitchinson, B., Prescott T. J. (2013). Whisker Movements Reveal Spatial
       Attention: A Unified Computational Model of Active Sensing Control in the
       Rat. PLoS Comput Biol 9(9): e1003236. doi:10.1371/journal.pcbi.1003236
    5. Grant, R. A., Haidarliu, S., Kennerley, N. J., Prescott, T. J. (2013). The
       evolution of active vibrissal sensing in mammals: evidence from vibrissal
       musculature and function in the marsupial opossum Monodelphis domestica.
       Journal of Experimental Biology. doi: 10.1242/jeb.087452
    6. Prescott, T. J., Lepora, N., Mura, A. and Verschure, P. M. J. (2012)
       [43]Biomimetic and Biohybrid Systems, LNAI vol. 7375.
    7. Prescott, T. J., Diamond, M. E. and Wing, A. M. (2011) [44]Theme issue on
       Active Touch Sensing. Philosophical Transactions of the Royal Society B:
       Biological Sciences.
    8. Prescott, T. J., Bryson, J. J., Seth, A. (2007). [45]Theme issue on modelling
       natural action selection. Philosophical Transactions of the Royal Society B:
       Biological Sciences.
    9. Pearson, M. J., Mitchinson, B., Pipe, A. G., Melhuish, C., and Prescott, T.
       J. (2007). [46]Whiskerbot: A robotic active touch system modelled on the rat
       whisker sensory system. Adaptive Behavior, 15:223-240.
   10. Mitchinson, B., Martin, C. J., Grant, R., and Prescott (2007). [47]Feedback
       control in active sensing: Tactile exploration in the rat is modulated by
       environmental contact. Proceedings of the Royal Society. B: Biological
       Sciences, 274(1613), 1035-41.
   11. Prescott, T. J. (2007). [48]Forced moves or good tricks in design space?
       Landmarks in the evolution of neural mechanisms for action selection.
       Adaptive Behavior. 15: 9-31.
   12. Humphries, M. D., Gurney, K. & Prescott, T. J. (2006). [49]The brainstem
       reticular formation is a small-world, not scale-free, network. Proceedings of
       the Royal Society B. 273, 503-511.
   13. Prescott, T. J., Gonzalez, F. M., Gurney, K., Humphries, M. D., & Redgrave,
       P. (2006). [50]A robot model of the basal ganglia: behavior and intrinsic
       processing. Neural Networks, 19, 31-61.
   14. Gurney, K., Prescott, T. J., Wickens, J., and Redgrave, P. (2004).
       [51]Computational models of the basal ganglia: from membranes to robots.
       Trends in Neurosciences, 27, 453-459.
   15. Prescott, T.J., Redgrave, P., & Gurney, K. (1999). [52]Layered control
       architectures in robots and vertebrates, Adaptive Behavior, 7, 99-127.
   16. Redgrave, P., Prescott, T.J. and Gurney, K. (1999). The basal ganglia: a
       vertebrate solution to the selection problem?, Neuroscience, 89, 1009-1023.

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