Dopamine role in learning and action inference.
2020. eLife, 9:e53262
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PMC7392608
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Papers
2020
van Swieten MMH, Bogacz R
Modeling the effects of motivation on choice and learning in the basal ganglia.
2020. PLoS Comput. Biol., 16(5):e1007465.
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PMC7274475
Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model.
2020. J. Math. Neurosci., 10(1):4.
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PMC7105566
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, Lindsay GW, Miller KD, Naud R, Pack CC, Poirazi P, Roelfsema P, Sacramento J, Saxe A, Scellier B, Schapiro AC, Senn W, Wayne G, Yamins D, Zenke F, Zylberberg J, Therien D, Kording KP
A deep learning framework for neuroscience.
2019. Nat. Neurosci., 22:1761-1770.
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PMC7115933
Predicting the effects of deep brain stimulation using a reduced coupled oscillator model.
2019. PLoS Comput. Biol., 15(8):e1006575.
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PMC6701819
Möller M, Bogacz R
Learning the payoffs and costs of actions.
2019. PLoS Comput. Biol., 15(2):e1006285.
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PMC6413954
Whittington JCR, Bogacz R
Theories of Error Back-Propagation in the Brain.
2019. Trends Cogn. Sci., 23, 235-250
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PMC6382460
2018
Moraud EM, Tinkhauser G, Agrawal M, Brown P, Bogacz R
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson’s patients
2018. Conf Proc IEEE Eng Med Biol Soc., 2018:3766-3769
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PMC6277014
Cieślak PE, Ahn WY, Bogacz R, Rodriguez Parkitna J
Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making.
2018. eNeuro. 5(4):e0331-18.2018
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PMC6175304
Malhotra G, Leslie DS, Ludwig CJ, Bogacz R
Time-varying decision boundaries: insights from optimality analysis.
2018.Psychon Bull Rev, 25(3):971-996.
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PMC5990589