Professor Kevin N Gurney
BSc, MSc, PhD
Department of Psychology
Professor of Computational Neuroscience
+44 114 222 6566
Full contact details
Department of Psychology
1 Vicar Lane
- PHD Neural Networks, Dept of Electronic Engineering (Brunel)
- MSc Digital Systems (Brunel)
- BSc Mathematical Physics (Sussex)
- Research interests
I am co-leader of the Adaptive Behaviour Research Group, where I focus on computational modeling but interact with, and support, experimental work in human psychophysics, neuroscience and robotics.
One of the hallmarks of my research is building models at different levels of description: from individual conductance-based neurons, through microcircuits of reduced neuron models and large scale spiking networks, to population-based (rate-coded) models with robotic embodiment, and abstract mathematical descriptions.
Specific areas of interest include:
This has been my main focus for over a decade. I am seeking to answer question such as: how do we ‘decide what to do next’, given the plethora of behavioural demands at any moment, and how do we make perceptual decisions when confronted with noisy, ambiguous stimuli. This work is predicated on the hypothesis that the basal ganglia (BG) play a key role in these processes and my lab has developed several models at many scales of description including: population level models of BG and its loops with cortex – a compartmental model of individual neurons in striatum , a spiking model of the BG , and models of the striatal microcircuit , . The models have also been subject to Bayesian analysis , .
Closely linked with action selection, this work seeks to answer the question: how do we learn new skills and actions and how can we use the resulting knowledge in goal-directed behaviour? The initial focus here was a critique of the role of phasic dopamine in learning . The main ideas have been tested in a large scale model  and a simulated autonomous robot .
This work grew out of work to test our models of action selection in complete, biologically grounded sensorimotor loops – in this case visual perception and gaze control –. I am also interested in understanding the minimal substrate required for aspects of cognitive vision as demonstrated in the honeybee - a topic within the recently awarded Green Brain project.
What principled approaches should we use in building computational models of the brain? How should we integrate models at different scales of description? These are questions addressed in , .
Neuroinformatics and software tool development
Science has often made step changes when the appropriate tools have been invented. I am interested in developing high throughput parameter fitting techniques for conductance-based models , , ) and model description languages .
- 2013-2016 EPSRC “Green Brain”; CI
- 2011-2014, EPSRC “Dual Process Control Models in the Brain and Machines with Application to Autonomous Vehicle Control”; CI.
- 2011-2012 EPSRC Delivery Plan ‘Kickstart’ funding. A neural microcircuit in silico: biologically realistic neuromorphic engineering at Sheffield; PI.
- 2009 – 2013, EU-FP7 “IM-CLeVeR: Intrinsically Motivated Cumulative Learning Versatile Robots”; Ci.
- 2007-2009 EPSRC "CARMEN: Code analysis, repository, and modelling for e-Neuroscience." CI
- 2005-2010 EPSRC "REVERB: Computation for Autonomous Agents: A Novel Approach based on the Vertebrate Brain”; PI
- 2005-2009 EU FP6 "ICEA: Integrating Emotion, Cognition and Autonomy"; CI
- Teaching activities
I am a Director of the MSc in Cognitive and Computational Neuroscience (CCN) MSc, sit on the Postgraduate Studies Committee, and chair the Computing Committee.
At postgraduate level I teach the entirety of PSY6307 (computational neuroscience I) on CCN and contribute to the modules on neuroscience and cognitive neuroscience.
- Professional activities
- Elected as Fellow of the Society of Biology
- Editorial panel: Journal of Intelligent Systems
- Editorial panel: Journal of Cognitive Computation
- Selected speaking invitations: International Basal Ganglia Society (IBAGS) meeting, 2010, British Neuroscience Association 2009, International symposium on motivation, learning and memory, Lund, Sweden, 2005.
- IBAGS symposium organizer 2007
- National policy and practice. Neuroinformatics Network Inaugural Workshop 2005.
- Invited articles: include the keynote introduction “Neural networks for perceptual processing: from simulation tools to theories” Philosophical Transactions of the Royal Society London B special issue on 'Use of Neural Networks to Studying Perception in Animals' (2007)
- Public engagement with science: InsideTrak exhibit; see this YouTube clip
- Member of the Sheffield Centre for Robotics (SCentRo)
- Member of Sheffield Institute for in silico medicine (INSIGNEO)