| Year |
Citation |
Score |
| 2022 |
Patai EZ, Foltynie T, Limousin P, Akram H, Zrinzo L, Bogacz R, Litvak V. Conflict detection in a sequential decision task is associated with increased cortico-subthalamic coherence and prolonged subthalamic oscillatory response in the beta band. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 35501153 DOI: 10.1523/JNEUROSCI.0572-21.2022 |
0.558 |
|
| 2021 |
van Swieten MMH, Bogacz R, Manohar SG. Hunger improves reinforcement-driven but not planned action. Cognitive, Affective & Behavioral Neuroscience. PMID 34652602 DOI: 10.3758/s13415-021-00921-w |
0.311 |
|
| 2021 |
Oswal A, Cao C, Yeh CH, Neumann WJ, Gratwicke J, Akram H, Horn A, Li D, Zhan S, Zhang C, Wang Q, Zrinzo L, Foltynie T, Limousin P, Bogacz R, et al. Neural signatures of hyperdirect pathway activity in Parkinson's disease. Nature Communications. 12: 5185. PMID 34465771 DOI: 10.1038/s41467-021-25366-0 |
0.469 |
|
| 2020 |
Bogacz R. Dopamine role in learning and action inference. Elife. 9. PMID 32633715 DOI: 10.7554/Elife.53262 |
0.381 |
|
| 2020 |
van Swieten MMH, Bogacz R. Modeling the effects of motivation on choice and learning in the basal ganglia. Plos Computational Biology. 16: e1007465. PMID 32453725 DOI: 10.1371/Journal.Pcbi.1007465 |
0.432 |
|
| 2020 |
Duchet B, Weerasinghe G, Cagnan H, Brown P, Bick C, Bogacz R. Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model. Journal of Mathematical Neuroscience. 10: 4. PMID 32232686 DOI: 10.1186/S13408-020-00081-0 |
0.305 |
|
| 2020 |
Bogacz R. Author response: Dopamine role in learning and action inference Elife. DOI: 10.7554/Elife.53262.Sa2 |
0.304 |
|
| 2019 |
Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, et al. A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770. PMID 31659335 DOI: 10.1038/S41593-019-0520-2 |
0.692 |
|
| 2019 |
Weerasinghe G, Duchet B, Cagnan H, Brown P, Bick C, Bogacz R. Predicting the effects of deep brain stimulation using a reduced coupled oscillator model. Plos Computational Biology. 15: e1006575. PMID 31393880 DOI: 10.1371/Journal.Pcbi.1006575 |
0.328 |
|
| 2019 |
Möller M, Bogacz R. Learning the payoffs and costs of actions. Plos Computational Biology. 15: e1006285. PMID 30818357 DOI: 10.1371/Journal.Pcbi.1006285 |
0.364 |
|
| 2019 |
Whittington JCR, Bogacz R. Theories of Error Back-Propagation in the Brain. Trends in Cognitive Sciences. 23: 235-250. PMID 30704969 DOI: 10.1016/J.Tics.2018.12.005 |
0.399 |
|
| 2018 |
Groschner LN, Chan Wah Hak L, Bogacz R, DasGupta S, Miesenböck G. Dendritic Integration of Sensory Evidence in Perceptual Decision-Making. Cell. PMID 29706545 DOI: 10.1016/J.Cell.2018.03.075 |
0.374 |
|
| 2018 |
Herz DM, Little S, Pedrosa DJ, Tinkhauser G, Cheeran B, Foltynie T, Bogacz R, Brown P. Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease. Current Biology : Cb. PMID 29606416 DOI: 10.1016/J.Cub.2018.02.057 |
0.402 |
|
| 2018 |
Leimbach F, Georgiev D, Litvak V, Antoniades C, Limousin P, Jahanshahi M, Bogacz R. Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward. Journal of Cognitive Neuroscience. 1-9. PMID 29488846 DOI: 10.1162/Jocn_A_01252 |
0.578 |
|
| 2017 |
Malhotra G, Leslie DS, Ludwig CJH, Bogacz R. Time-varying decision boundaries: insights from optimality analysis. Psychonomic Bulletin & Review. PMID 28730465 DOI: 10.3758/S13423-017-1340-6 |
0.374 |
|
| 2017 |
Grogan JP, Tsivos D, Smith L, Knight BE, Bogacz R, Whone A, Coulthard EJ. Effects of dopamine on reinforcement learning and consolidation in Parkinson's disease. Elife. 6. PMID 28691905 DOI: 10.7554/Elife.26801 |
0.319 |
|
| 2017 |
Malhotra G, Leslie DS, Ludwig CJ, Bogacz R. Overcoming Indecision by Changing the Decision Boundary. Journal of Experimental Psychology. General. PMID 28406682 DOI: 10.1037/Xge0000286 |
0.382 |
|
| 2017 |
Whittington JC, Bogacz R. An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity. Neural Computation. 1-34. PMID 28333583 DOI: 10.1162/Neco_A_00949 |
0.328 |
|
| 2017 |
Bogacz R. A tutorial on the free-energy framework for modelling perception and learning. Journal of Mathematical Psychology. 76: 198-211. PMID 28298703 DOI: 10.1016/J.Jmp.2015.11.003 |
0.42 |
|
| 2017 |
Gillies MJ, Hyam JA, Weiss AR, Antoniades CA, Bogacz R, Fitzgerald JJ, Aziz TZ, Whittington MA, Green AL. The Cognitive Role of the Globus Pallidus interna; Insights from Disease States. Experimental Brain Research. PMID 28246967 DOI: 10.1007/S00221-017-4905-8 |
0.365 |
|
| 2017 |
Herz DM, Tan H, Brittain JS, Fischer P, Cheeran B, Green AL, FitzGerald J, Aziz TZ, Ashkan K, Little S, Foltynie T, Limousin P, Zrinzo L, Bogacz R, Brown P. Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks. Elife. 6. PMID 28137358 DOI: 10.7554/Elife.21481 |
0.423 |
|
| 2016 |
Kurzawa N, Summerfield C, Bogacz R. Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making. Neural Computation. 1-26. PMID 27870610 DOI: 10.1162/Neco_A_00917 |
0.463 |
|
| 2016 |
Mikhael JG, Bogacz R. Learning Reward Uncertainty in the Basal Ganglia. Plos Computational Biology. 12: e1005062. PMID 27589489 DOI: 10.1371/Journal.Pcbi.1005062 |
0.407 |
|
| 2016 |
Herz DM, Bogacz R, Brown P. Neuroscience: Impaired Decision-Making in Parkinson's Disease. Current Biology : Cb. 26: R671-3. PMID 27458912 DOI: 10.1016/J.Cub.2016.05.075 |
0.342 |
|
| 2016 |
Bogacz R, Martin Moraud E, Abdi A, Magill PJ, Baufreton J. Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection. Plos Computational Biology. 12: e1005004. PMID 27389780 DOI: 10.1371/Journal.Pcbi.1005004 |
0.37 |
|
| 2016 |
Herz DM, Zavala BA, Bogacz R, Brown P. Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus. Current Biology : Cb. PMID 26996501 DOI: 10.1016/J.Cub.2016.01.051 |
0.394 |
|
| 2015 |
Pavlides A, Hogan SJ, Bogacz R. Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease. Plos Computational Biology. 11: e1004609. PMID 26683341 DOI: 10.1371/Journal.Pcbi.1004609 |
0.358 |
|
| 2015 |
Keuken MC, Van Maanen L, Bogacz R, Schäfer A, Neumann J, Turner R, Forstmann BU. The subthalamic nucleus during decision-making with multiple alternatives. Human Brain Mapping. 36: 4041-52. PMID 26178078 DOI: 10.1002/Hbm.22896 |
0.383 |
|
| 2015 |
Grogan J, Bogacz R, Tsivos D, Whone A, Coulthard E. Dopamine and Consolidation of Episodic Memory: Timing is Everything. Journal of Cognitive Neuroscience. 27: 2035-50. PMID 26102227 DOI: 10.1162/Jocn_A_00840 |
0.303 |
|
| 2015 |
Bogacz R. Optimal decision making in the cortico-basal-ganglia circuit An Introduction to Model-Based Cognitive Neuroscience. 291-302. DOI: 10.1007/978-1-4939-2236-9_14 |
0.403 |
|
| 2014 |
Onslow AC, Jones MW, Bogacz R. A canonical circuit for generating phase-amplitude coupling. Plos One. 9: e102591. PMID 25136855 DOI: 10.1371/Journal.Pone.0102591 |
0.342 |
|
| 2014 |
Antoniades CA, Bogacz R, Kennard C, FitzGerald JJ, Aziz T, Green AL. Deep brain stimulation abolishes slowing of reactions to unlikely stimuli. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 10844-52. PMID 25122887 DOI: 10.1523/Jneurosci.1065-14.2014 |
0.363 |
|
| 2014 |
Jahans-Price T, Gorochowski TE, Wilson MA, Jones MW, Bogacz R. Computational modeling and analysis of hippocampal-prefrontal information coding during a spatial decision-making task. Frontiers in Behavioral Neuroscience. 8: 62. PMID 24624066 DOI: 10.3389/Fnbeh.2014.00062 |
0.447 |
|
| 2014 |
Nevado-Holgado AJ, Mallet N, Magill PJ, Bogacz R. Effective connectivity of the subthalamic nucleus-globus pallidus network during Parkinsonian oscillations. The Journal of Physiology. 592: 1429-55. PMID 24344162 DOI: 10.1113/Jphysiol.2013.259721 |
0.317 |
|
| 2013 |
Cassey TC, Evens DR, Bogacz R, Marshall JA, Ludwig CJ. Adaptive sampling of information in perceptual decision-making. Plos One. 8: e78993. PMID 24312172 DOI: 10.1371/Journal.Pone.0078993 |
0.356 |
|
| 2013 |
Green N, Bogacz R, Huebl J, Beyer AK, Kühn AA, Heekeren HR. Reduction of influence of task difficulty on perceptual decision making by STN deep brain stimulation. Current Biology : Cb. 23: 1681-4. PMID 23932401 DOI: 10.1016/J.Cub.2013.07.001 |
0.419 |
|
| 2012 |
Lloyd K, Becker N, Jones MW, Bogacz R. Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats. Frontiers in Computational Neuroscience. 6: 87. PMID 23115551 DOI: 10.3389/Fncom.2012.00087 |
0.391 |
|
| 2012 |
Coulthard EJ, Bogacz R, Javed S, Mooney LK, Murphy G, Keeley S, Whone AL. Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making. Brain : a Journal of Neurology. 135: 3721-34. PMID 23114368 DOI: 10.1093/Brain/Aws273 |
0.424 |
|
| 2012 |
Marshall JA, Bogacz R, Gilchrist ID. Consistent implementation of decisions in the brain. Plos One. 7: e43443. PMID 22984425 DOI: 10.1371/Journal.Pone.0043443 |
0.389 |
|
| 2012 |
Pavlides A, Hogan SJ, Bogacz R. Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network. The European Journal of Neuroscience. 36: 2229-39. PMID 22805067 DOI: 10.1186/1471-2202-13-S1-P116 |
0.357 |
|
| 2011 |
Kucewicz MT, Tricklebank MD, Bogacz R, Jones MW. Dysfunctional prefrontal cortical network activity and interactions following cannabinoid receptor activation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 15560-8. PMID 22031901 DOI: 10.1523/Jneurosci.2970-11.2011 |
0.381 |
|
| 2011 |
Bogacz R, Larsen T. Integration of reinforcement learning and optimal decision-making theories of the basal ganglia. Neural Computation. 23: 817-51. PMID 21222528 DOI: 10.1162/Neco_A_00103 |
0.436 |
|
| 2011 |
Lulham A, Bogacz R, Vogt S, Brown MW. An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network. Neural Computation. 23: 909-26. PMID 21222523 DOI: 10.1162/Neco_A_00097 |
0.583 |
|
| 2011 |
Onslow AC, Bogacz R, Jones MW. Quantifying phase-amplitude coupling in neuronal network oscillations. Progress in Biophysics and Molecular Biology. 105: 49-57. PMID 20869387 DOI: 10.1016/J.Pbiomolbio.2010.09.007 |
0.333 |
|
| 2011 |
Onslow AC, Jones MW, Bogacz R. Oscillatory mechanisms of selective integration during decision making Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-O16 |
0.441 |
|
| 2011 |
Howard-Jones P, Demetriou S, Bogacz R, Yoo JH, Leonards U. Toward a Science of Learning Games Mind, Brain, and Education. 5: 33-41. DOI: 10.1111/J.1751-228X.2011.01108.X |
0.336 |
|
| 2010 |
Zacksenhouse M, Bogacz R, Holmes P. Robust versus optimal strategies for two-alternative forced choice tasks. Journal of Mathematical Psychology. 54: 230-246. PMID 23180885 DOI: 10.1016/J.Jmp.2009.12.004 |
0.363 |
|
| 2010 |
Holgado AJ, Terry JR, Bogacz R. Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 12340-52. PMID 20844130 DOI: 10.1523/Jneurosci.0817-10.2010 |
0.36 |
|
| 2010 |
Forstmann BU, Anwander A, Schäfer A, Neumann J, Brown S, Wagenmakers EJ, Bogacz R, Turner R. Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Sciences of the United States of America. 107: 15916-20. PMID 20733082 DOI: 10.1073/Pnas.1004932107 |
0.402 |
|
| 2010 |
Howard-Jones PA, Bogacz R, Yoo JH, Leonards U, Demetriou S. The neural mechanisms of learning from competitors. Neuroimage. 53: 790-9. PMID 20600992 DOI: 10.1016/J.Neuroimage.2010.06.027 |
0.387 |
|
| 2010 |
Larsen T, Leslie DS, Collins EJ, Bogacz R. Posterior weighted reinforcement learning with state uncertainty. Neural Computation. 22: 1149-79. PMID 20100078 DOI: 10.1162/Neco.2010.01-09-948 |
0.351 |
|
| 2010 |
Larsen T, Bogacz R. Initiation and termination of integration in a decision process. Neural Networks : the Official Journal of the International Neural Network Society. 23: 322-33. PMID 20080384 DOI: 10.1016/J.Neunet.2009.11.015 |
0.404 |
|
| 2010 |
Zhang J, Bogacz R. Optimal decision making on the basis of evidence represented in spike trains. Neural Computation. 22: 1113-48. PMID 20028228 DOI: 10.1162/Neco.2009.05-09-1025 |
0.63 |
|
| 2010 |
Bogacz R, Wagenmakers EJ, Forstmann BU, Nieuwenhuis S. The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences. 33: 10-6. PMID 19819033 DOI: 10.1016/J.Tins.2009.09.002 |
0.377 |
|
| 2010 |
Bogacz R, Hu PT, Holmes PJ, Cohen JD. Do humans produce the speed-accuracy trade-off that maximizes reward rate? Quarterly Journal of Experimental Psychology (2006). 63: 863-91. PMID 19746300 DOI: 10.1080/17470210903091643 |
0.371 |
|
| 2010 |
Zhang J, Bogacz R. Bounded Ornstein-Uhlenbeck models for two-choice time controlled tasks Journal of Mathematical Psychology. 54: 322-333. DOI: 10.1016/J.Jmp.2010.03.001 |
0.608 |
|
| 2009 |
Zhang J, Bogacz R, Holmes P. A comparison of bounded diffusion models for choice in time controlled tasks. Journal of Mathematical Psychology. 53: 231-241. PMID 19812713 DOI: 10.1016/J.Jmp.2009.03.001 |
0.596 |
|
| 2009 |
Marshall JA, Bogacz R, Dornhaus A, Planqué R, Kovacs T, Franks NR. On optimal decision-making in brains and social insect colonies. Journal of the Royal Society, Interface / the Royal Society. 6: 1065-74. PMID 19324679 DOI: 10.1098/Rsif.2008.0511 |
0.373 |
|
| 2008 |
Androulidakis Z, Lulham A, Bogacz R, Brown MW. Computational models can replicate the capacity of human recognition memory. Network (Bristol, England). 19: 161-82. PMID 18946835 DOI: 10.1080/09548980802412638 |
0.599 |
|
| 2008 |
Trimmer PC, Houston AI, Marshall JA, Bogacz R, Paul ES, Mendl MT, McNamara JM. Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems. Proceedings. Biological Sciences / the Royal Society. 275: 2353-61. PMID 18611852 DOI: 10.1098/Rspb.2008.0417 |
0.393 |
|
| 2007 |
Bogacz R, McClure SM, Li J, Cohen JD, Montague PR. Short-term memory traces for action bias in human reinforcement learning. Brain Research. 1153: 111-21. PMID 17459346 DOI: 10.1016/J.Brainres.2007.03.057 |
0.378 |
|
| 2007 |
Bogacz R, Usher M, Zhang J, McClelland JL. Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 362: 1655-70. PMID 17428774 DOI: 10.1098/Rstb.2007.2059 |
0.605 |
|
| 2007 |
Bogacz R. Optimal decision network with distributed representation. Neural Networks : the Official Journal of the International Neural Network Society. 20: 564-76. PMID 17399947 DOI: 10.1016/J.Neunet.2007.01.003 |
0.439 |
|
| 2007 |
Bogacz R. Optimal decision-making theories: linking neurobiology with behaviour. Trends in Cognitive Sciences. 11: 118-25. PMID 17276130 DOI: 10.1016/J.Tics.2006.12.006 |
0.38 |
|
| 2007 |
Yeung N, Bogacz R, Holroyd CB, Nieuwenhuis S, Cohen JD. Theta phase resetting and the error-related negativity. Psychophysiology. 44: 39-49. PMID 17241139 DOI: 10.1111/J.1469-8986.2006.00482.X |
0.543 |
|
| 2007 |
Bogacz R, Gurney K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Computation. 19: 442-77. PMID 17206871 DOI: 10.1162/Neco.2007.19.2.442 |
0.439 |
|
| 2006 |
Bogacz R, Brown E, Moehlis J, Holmes P, Cohen JD. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review. 113: 700-65. PMID 17014301 DOI: 10.1037/0033-295X.113.4.700 |
0.4 |
|
| 2005 |
Brown E, Gao J, Holmes P, Bogacz R, Gilzenrat M, Cohen JD. Simple neural networks that optimize decisions International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 15: 803-826. DOI: 10.1142/S0218127405012478 |
0.382 |
|
| 2005 |
Holmes P, Shea-Brown E, Moehlis J, Bogacz R, Gao J, Aston-Jones G, Clayton E, Rajkowski J, Cohen JD. Optimal decisions: From neural spikes, through stochastic differential equations, to behavior Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 2496-2502. DOI: 10.1093/Ietfec/E88-A.10.2496 |
0.417 |
|
| 2004 |
Bogacz R, Cohen JD. Parameterization of connectionist models. Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc. 36: 732-41. PMID 15641419 DOI: 10.3758/Bf03206554 |
0.302 |
|
| 2004 |
Yeung N, Bogacz R, Holroyd CB, Cohen JD. Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods. Psychophysiology. 41: 822-32. PMID 15563335 DOI: 10.1111/J.1469-8986.2004.00239.X |
0.556 |
|
| 2003 |
Bogacz R, Brown MW. Comparison of computational models of familiarity discrimination in the perirhinal cortex. Hippocampus. 13: 494-524. PMID 12836918 DOI: 10.1002/Hipo.10093 |
0.644 |
|
| 2003 |
Bogacz R, Brown MW. An anti-Hebbian model of familiarity discrimination in the perirhinal cortex Neurocomputing. 52: 1-6. DOI: 10.1016/S0925-2312(02)00738-5 |
0.432 |
|
| 2002 |
Bogacz R, Brown MW. The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks. Network (Bristol, England). 13: 457-85. PMID 12463340 DOI: 10.1088/0954-898X_13_4_303 |
0.591 |
|
| 2002 |
Bogacz R, Brown MW. Capacity of perirhinal cortex network for recognising frequently repeating stimuli Neurocomputing. 44: 337-342. DOI: 10.1016/S0925-2312(02)00367-3 |
0.595 |
|
| 2001 |
Bogacz R, Brown MW, Giraud-Carrier C. Model of familiarity discrimination in the perirhinal cortex. Journal of Computational Neuroscience. 10: 5-23. PMID 11316340 DOI: 10.1023/A:1008925909305 |
0.647 |
|
| 2001 |
Bogacz R, Brown MW, Giraud-Carrier C. Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex Neurocomputing. 38: 1121-1126. DOI: 10.1016/S0925-2312(01)00472-6 |
0.592 |
|
| 2001 |
Bogacz R, Brown MW, Giraud-Carrier CG. A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex Lecture Notes in Computer Science. 2036: 428-441. DOI: 10.1007/3-540-44597-8_31 |
0.375 |
|
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