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 | 73 | 2011 |
On the neural implementation of the speed-accuracy trade-off D Standage, G Blohm, MC Dorris Frontiers in neuroscience 8, 236, 2014 | 66 | 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 | 46 | 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 | 34 | 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 | 25 | 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 | 23 | 2015 |
Persistent storage capability impairs decision making in a biophysical network model D Standage, M Paré Neural Networks 24 (10), 1062-1073, 2011 | 22 | 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 | 21 | 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 | 16 | 2005 |
Multi-packet regions in stabilized continuous attractor networks TP Trappenberg, DI Standage Neurocomputing 65, 617-622, 2005 | 14 | 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 | 13 | 2020 |
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 | 13 | 2014 |
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 |
Whole-brain dynamics of human sensorimotor adaptation DI Standage, CN Areshenkoff, DJ Gale, JY Nashed, JR Flanagan, ... Cerebral Cortex 33 (8), 4761-4778, 2023 | 11 | 2023 |
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 | 11 | 2015 |
The trouble with weight-dependent STDP D Standage, T Trappenberg 2007 International Joint Conference on Neural Networks, 1348-1353, 2007 | 11 | 2007 |
Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation C Areshenkoff, DJ Gale, D Standage, JY Nashed, JR Flanagan, ... Elife 11, e74591, 2022 | 8 | 2022 |
Cognitive neuroscience D Standage, T Trappenberg The Cambridge Handbook of Cognitive Science, 235-256, 2012 | 6 | 2012 |
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 | 5 | 2005 |
Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation DJ Gale, CN Areshenkoff, DI Standage, JY Nashed, RD Markello, ... Proceedings of the National Academy of Sciences 119 (52), e2209960119, 2022 | 4 | 2022 |