Misha B. Ahrens

14 papers A* 3Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior. CoRR Eva Yezerets, En Yang, Misha B. Ahrens, Adam S. Charles
2026	J	`jnl`	Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects. CoRR William E. Bishop, Luuk Willem Hesselink, Bernhard Englitz, Misha B. Ahrens, James E. Fitzgerald
2025	J	`jnl`	Forecasting Whole-Brain Neuronal Activity from Volumetric Video. CoRR Alexander Immer, Jan-Matthis Lueckmann, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff W. Lichtman, Misha B. Ahrens, Viren Jain, Michal Januszewski
2025	J	`jnl`	POCO: Scalable Neural Forecasting through Population Conditioning. CoRR Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D. Harvey, Matthew G. Perich, Karl Deisseroth, Kanaka Rajan
2025	A*	`conf`	ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. ICLR Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Luuk Willem Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff Lichtman, Misha B. Ahrens, Michal Januszewski, Viren Jain
2025	J	`jnl`	ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. CoRR Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Luuk Willem Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff W. Lichtman, Misha B. Ahrens, Michal Januszewski, Viren Jain
2023	J	`jnl`	Dimensionality reduction of calcium-imaged neuronal population activity. Nat. Comput. Sci. Tze Hui Koh, William E. Bishop, Takashi Kawashima, Brian B. Jeon, Ranjani Srinivasan, Yu Mu, Ziqiang Wei, Sandra J. Kuhlman, Misha B. Ahrens, Steven M. Chase, Byron M. Yu
2022	A*	`conf`	BILCO: An Efficient Algorithm for Joint Alignment of Time Series. NeurIPS Xuelong Mi, Mengfan Wang, Alex Bo-Yuan Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu
2022	A*	`conf`	FourierNets enable the design of highly non-local optical encoders for computational imaging. NeurIPS Diptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
2021	J	`jnl`	Programmable 3D snapshot microscopy with Fourier convolutional networks. CoRR Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga
2019	—	`conf`	Deformable Registration of Whole Brain Zebrafish Microscopy Using an Implementation of the Flash Algorithm Within Ants. ISBI Greg M. Fleishman, Miaomiao Zhang, Nicholas J. Tustison, Isabel Espinosa-Medina, Yu Mu, Khaled Khairy, Misha B. Ahrens
2017	J	`jnl`	Multi-scale approaches for high-speed imaging and analysis of large neural populations. PLoS Comput. Biol. Johannes Friedrich, WeiJian Yang, Daniel Soudry, Yu Mu, Misha B. Ahrens, Rafael Yuste, Darcy S. Peterka, Liam Paninski
2007	—	`conf`	Inferring Elapsed Time from Stochastic Neural Processes. NIPS Misha B. Ahrens, Maneesh Sahani
2005	—	`conf`	Large-scale biophysical parameter estimation in single neurons via constrained linear regression. NIPS Misha B. Ahrens, Quentin J. M. Huys, Liam Paninski