| Gain modulation by an urgency signal controls the speed–accuracy trade-off in a network model of a cortical decision circuit D Standage, H You, DH Wang, MC Dorris Frontiers in computational neuroscience 5, 7, 2011 | 69 | 2011 |
| On the neural implementation of the speed-accuracy trade-off D Standage, G Blohm, MC Dorris Frontiers in neuroscience 8, 236, 2014 | 59 | 2014 |
| Modelling divided visual attention with a winner-take-all network DI Standage, TP Trappenberg, RM Klein Neural Networks 18 (5-6), 620-627, 2005 | 45 | 2005 |
| Computational consequences of experimentally derived spike-time and weight dependent plasticity rules D Standage, S Jalil, T Trappenberg Biological Cybernetics 96 (6), 615-623, 2007 | 31 | 2007 |
| Trading speed and accuracy by coding time: a coupled-circuit cortical model D Standage, H You, DH Wang, MC Dorris PLoS Comput Biol 9 (4), e1003021, 2013 | 26 | 2013 |
| Toward a unified view of the speed-accuracy trade-off D Standage, DH Wang, RP Heitz, P Simen Frontiers in neuroscience 9, 139, 2015 | 22 | 2015 |
| Persistent storage capability impairs decision making in a biophysical network model D Standage, M Paré Neural Networks 24 (10), 1062-1073, 2011 | 21 | 2011 |
| Neural dynamics implement a flexible decision bound with a fixed firing rate for choice: a model-based hypothesis D Standage, DH Wang, G Blohm Frontiers in Neuroscience 8, 318, 2014 | 19 | 2014 |
| Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models DI Standage, TP Trappenberg Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 15 | 2005 |
| Dynamic reconfiguration, fragmentation, and integration of whole-brain modular structure across depths of unconsciousness D Standage, CN Areshenkoff, JY Nashed, RM Hutchison, M Hutchison, ... Cerebral Cortex 30 (10), 5229-5241, 2020 | 12 | 2020 |
| Slot-like capacity and resource-like coding in a neural model of multiple-item working memory D Standage, M Paré Journal of neurophysiology, 2018 | 12 | 2018 |
| Calcium-Dependent Calcium Decay Explains STDP in a Dynamic Model of Hippocampal Synapses D Standage, T Trappenberg, G Blohm PLOS ONE 9 (1), e86248, 2014 | 12 | 2014 |
| Multi-packet regions in stabilized continuous attractor networks TP Trappenberg, DI Standage Neurocomputing 65, 617-622, 2005 | 12 | 2005 |
| The trouble with weight-dependent STDP D Standage, T Trappenberg 2007 International Joint Conference on Neural Networks, 1348-1353, 2007 | 11 | 2007 |
| Ca2+-induced uncoupling of Aplysia bag cell neurons Z Dargaei, D Standage, CJ Groten, G Blohm, NS Magoski Journal of neurophysiology 113 (3), 808-821, 2015 | 10 | 2015 |
| Cognitive neuroscience D Standage, T Trappenberg The Cambridge Handbook of Cognitive Science, 235-256, 2012 | 6 | 2012 |
| Whole-brain dynamics of human sensorimotor adaptation DI Standage, CN Areshenkoff, DJ Gale, JY Nashed, JR Flanagan, ... bioRxiv, 2020 | 4 | 2020 |
| Ionic mechanisms underlying tonic and burst firing behavior in subfornical organ neurons: a combined experimental and modeling study L Medlock, L Shute, M Fry, D Standage, AV Ferguson Journal of neurophysiology 120 (5), 2269-2281, 2018 | 4 | 2018 |
| Probabilistic, weight-dependent STDP leads to rate-dependent synaptic fixed points D Standage, T Trappenberg Extended abstracts from the 15th annual Computational Neuroscience Meeting …, 2006 | 4 | 2006 |
| A continuous attractor neural network model of divided visual attention DI Standage, TP Trappenberg, RM Klein Neural Networks, 2005. IJCNN'05. Proceedings. 2005 IEEE International Joint …, 2005 | 4 | 2005 |
Gunnar BlohmQueen's University, Kingston, ON, CanadaVerified email at queensu.ca
