| An introduction to neural networks K Gurney CRC press, 2018 | 3182 | 2018 |
| Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence MD Humphries, K Gurney PloS one 3 (4), e0002051, 2008 | 1570 | 2008 |
| The basal ganglia: a vertebrate solution to the selection problem? P Redgrave, TJ Prescott, K Gurney Neuroscience 89 (4), 1009-1023, 1999 | 1522 | 1999 |
| The short-latency dopamine signal: a role in discovering novel actions? P Redgrave, K Gurney Nature reviews neuroscience 7 (12), 967-975, 2006 | 860 | 2006 |
| A computational model of action selection in the basal ganglia. I. A new functional anatomy K Gurney, TJ Prescott, P Redgrave Biological cybernetics 84, 401-410, 2001 | 819 | 2001 |
| The brainstem reticular formation is a small-world, not scale-free, network MD Humphries, K Gurney, TJ Prescott Proceedings of the Royal Society B: Biological Sciences 273 (1585), 503-511, 2006 | 739 | 2006 |
| Is the short-latency dopamine response too short to signal reward error? P Redgrave, TJ Prescott, K Gurney Trends in neurosciences 22 (4), 146-151, 1999 | 706 | 1999 |
| The basal ganglia and cortex implement optimal decision making between alternative actions R Bogacz, K Gurney Neural computation 19 (2), 442-477, 2007 | 465 | 2007 |
| A physiologically plausible model of action selection and oscillatory activity in the basal ganglia MD Humphries, RD Stewart, KN Gurney Journal of Neuroscience 26 (50), 12921-12942, 2006 | 420 | 2006 |
| A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour K Gurney, TJ Prescott, P Redgrave Biological cybernetics 84, 411-423, 2001 | 400 | 2001 |
| What is reinforced by phasic dopamine signals? P Redgrave, K Gurney, J Reynolds Brain research reviews 58 (2), 322-339, 2008 | 327 | 2008 |
| Layered control architectures in robots and vertebrates TJ Prescott, P Redgrave, K Gurney Adaptive Behavior 7 (1), 99-127, 1999 | 290 | 1999 |
| A robot model of the basal ganglia: behavior and intrinsic processing TJ Prescott, FMM González, K Gurney, MD Humphries, P Redgrave Neural networks 19 (1), 31-61, 2006 | 244 | 2006 |
| Computational models of the basal ganglia: from robots to membranes K Gurney, TJ Prescott, JR Wickens, P Redgrave Trends in neurosciences 27 (8), 453-459, 2004 | 220 | 2004 |
| Dopaminergic control of the exploration-exploitation trade-off via the basal ganglia MD Humphries, M Khamassi, K Gurney Frontiers in neuroscience 6, 16922, 2012 | 202 | 2012 |
| The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis F Mannella, K Gurney, G Baldassarre Frontiers in behavioral neuroscience 7, 135, 2013 | 197 | 2013 |
| Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit MD Humphries, R Wood, K Gurney Neural networks 22 (8), 1174-1188, 2009 | 153 | 2009 |
| Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach MJ Pearson, AG Pipe, B Mitchinson, K Gurney, C Melhuish, I Gilhespy, ... IEEE Transactions on Neural Networks 18 (5), 1472-1487, 2007 | 147 | 2007 |
| A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface KN Gurney, MD Humphries, P Redgrave PLoS biology 13 (1), e1002034, 2015 | 129 | 2015 |
| The role of intra-thalamic and thalamocortical circuits in action selection MD Humphries, KN Gurney Network: Computation in Neural Systems 13 (1), 131-156, 2002 | 107 | 2002 |
