Rafal Bogacz, Ph.D. - Publications

computer science University of Bristol, Bristol, England, United Kingdom 
Computational neuroscience

78 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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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