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Publications from the Ölveczky lab

Bibliographic References tagged with Publications from the Ölveczky lab

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Zhang L, Dunn T, Marshall J, Ölveczky B, Linderman S. Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. Proceedings of Machine Learning Research. 2021;130:2800–2808.
Zhang L, Dunn T, Marshall J, Ölveczky B, Linderman S. Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model. Proceedings of Machine Learning Research. 2021;130:2800–2808.
Merel, Aldarondo, Marshall, Tassa, Wayne, Ölveczky. Deep neuroethology of a virtual rodent. arXiv. 2019.
Merel, Aldarondo, Marshall, Tassa, Wayne, Ölveczky. Deep neuroethology of a virtual rodent. arXiv. 2019.
Dhawale AK, Miyamoto YR, Smith MA, Ölveczky BP. Adaptive Regulation of Motor Variability. Current Biology. 2019;pii: S0960-9822(19):31102–9.
Dhawale AK, Miyamoto YR, Smith MA, Ölveczky BP. Adaptive Regulation of Motor Variability. Current Biology. 2019;pii: S0960-9822(19):31102–9.
Bayne, Brainard, Byrne R, Chittka, Heyes, Mather, Ölveczky BP, Shadlen, Suddendorf, Webb. What is cognition? Current Biology. 2019;29(13):R608-R615.
Bayne, Brainard, Byrne R, Chittka, Heyes, Mather, Ölveczky BP, Shadlen, Suddendorf, Webb. What is cognition? Current Biology. 2019;29(13):R608-R615.
Dhawale AK, Poddar R, Wolff S, Normand V, Kopelowitz, Ölveczky BP. Automated long-term recording and analysis of neural activity in behaving animals. Elife. Sep 8;6. pii: e27702. 2017.
Dhawale AK, Poddar R, Wolff S, Normand V, Kopelowitz, Ölveczky BP. Automated long-term recording and analysis of neural activity in behaving animals. Elife. Sep 8;6. pii: e27702. 2017.
Dhawale AK, Smith MA, Ölveczky BP. The Role of Variability in Motor Learning. Annu Rev Neurosci. 2017 May 10. doi: 10.1146/annurev-neuro-072116-031548. 2017.
Dhawale AK, Smith MA, Ölveczky BP. The Role of Variability in Motor Learning. Annu Rev Neurosci. 2017 May 10. doi: 10.1146/annurev-neuro-072116-031548. 2017.
Teşileanu T, Ölveczky B, Balasubramanian V. Rules and mechanisms for efficient two-stage learning in neural circuits. eLife 2017 April . 2017;6:e20944.
Teşileanu T, Ölveczky B, Balasubramanian V. Rules and mechanisms for efficient two-stage learning in neural circuits. eLife 2017 April . 2017;6:e20944.
Otchy TM, Wolff S, Rhee J, Pehlevan C, Kawai R, Kempf, Gobes S, Ölveczky B. Acute off-target effects of neural circuit manipulations. Nature. 2015:doi:10.1038/nature16442.
Otchy TM, Wolff S, Rhee J, Pehlevan C, Kawai R, Kempf, Gobes S, Ölveczky B. Acute off-target effects of neural circuit manipulations. Nature. 2015:doi:10.1038/nature16442.
Dhawale AK, Poddar R, Kopelowitz, Normand, Wolff, Ölveczky BP. Automated long-term recording and analysis of neural activity in behaving animals. Bioarxiv. 2015;doi: http://dx.doi.org/10.1101/033266.
Dhawale AK, Poddar R, Kopelowitz, Normand, Wolff, Ölveczky BP. Automated long-term recording and analysis of neural activity in behaving animals. Bioarxiv. 2015;doi: http://dx.doi.org/10.1101/033266.
Ali F, Otchy TM, Pehlevan C, Fantana AL, Burak Y, Ölveczky BP. The basal ganglia is necessary for learning spectral, but not temporal, features of birdsong. Neuron. 2013;80:494–506.
Ali F, Otchy TM, Pehlevan C, Fantana AL, Burak Y, Ölveczky BP. The basal ganglia is necessary for learning spectral, but not temporal, features of birdsong. Neuron. 2013;80:494–506.