Publications
51 results
51 results
2022
Jensen K, Harpaz N, Dhawale A, Wolff S, Ölveczky B. Long-term stability of single neuron activity in the motor system. Nature Neuroscience. 2022;25(12):1664–1674.
Jensen K, Harpaz N, Dhawale A, Wolff S, Ölveczky B. Long-term stability of single neuron activity in the motor system. Nature Neuroscience. 2022;25(12):1664–1674.
2021
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.
Dunn T, Marshall J, Severson K, Aldarondo D, Hildebrand D, Chettih S, Wang W, Gellis A, Carlson D, Aronov D, et al. Geometric deep learning enables 3D kinematic profiling across species and environments. Nature Methods. 2021;18:564–573.
Dunn T, Marshall J, Severson K, Aldarondo D, Hildebrand D, Chettih S, Wang W, Gellis A, Carlson D, Aronov D, et al. Geometric deep learning enables 3D kinematic profiling across species and environments. Nature Methods. 2021;18:564–573.
Dhawale A, Wolff S, Ko R, Ölveczky B. The basal ganglia control the detailed kinematics of learned motor skills. Nature Neuroscience . 2021.
Dhawale A, Wolff S, Ko R, Ölveczky B. The basal ganglia control the detailed kinematics of learned motor skills. Nature Neuroscience . 2021.
Marshall J, Klibaite U, Gellis A, Aldarondo D, Ölveczky B, Dunn T. The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation. NeurIPS. 2021.
Marshall J, Klibaite U, Gellis A, Aldarondo D, Ölveczky B, Dunn T. The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation. NeurIPS. 2021.
2020
Williams A, Poole B, Maheswaranathan N, Dhawale A, Fisher T, Wilson C, Brann D, Trautmann E, Ryu S, Shusterman R, et al. Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time warping. Neuron. 2020;105(2):246–259. e8.
Williams A, Poole B, Maheswaranathan N, Dhawale A, Fisher T, Wilson C, Brann D, Trautmann E, Ryu S, Shusterman R, et al. Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time warping. Neuron. 2020;105(2):246–259. e8.
Gershman S, Ölveczky B. The neurobiology of deep reinforcement learning. Current Biology. 2020;30(11):R629-R632.
Gershman S, Ölveczky B. The neurobiology of deep reinforcement learning. Current Biology. 2020;30(11):R629-R632.
Marshall J, Aldarondo D, Dunn T, Wang W, Berman G, Ölveczky B. Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire. Neuron. 2020;109(3):420–437.e8.
Marshall J, Aldarondo D, Dunn T, Wang W, Berman G, Ölveczky B. Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire. Neuron. 2020;109(3):420–437.e8.
2019
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, 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.
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.
2018
Pehlevan, Ali, Ölveczky. Flexibility in motor timing constrains the topology and dynamics of pattern generator circuits. Nature Communications. 2018;9(977).
Pehlevan, Ali, Ölveczky. Flexibility in motor timing constrains the topology and dynamics of pattern generator circuits. Nature Communications. 2018;9(977).