Misha B. Ahrens

According to our database, Misha B. Ahrens authored at least 13 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects.

William E. Bishop, Luuk Willem Hesselink, Bernhard Englitz, Misha B. Ahrens, James E. Fitzgerald

CoRR, March, 2026

Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior.

Eva Yezerets, En Yang, Misha B. Ahrens, Adam S. Charles

CoRR, March, 2026

2025

POCO: Scalable Neural Forecasting through Population Conditioning.

Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D. Harvey, Matthew G. Perich, Karl Deisseroth, Kanaka Rajan

CoRR, June, 2025

Forecasting Whole-Brain Neuronal Activity from Volumetric Video.

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

CoRR, March, 2025

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Dimensionality reduction of calcium-imaged neuronal population activity.

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

Nat. Comput. Sci., 2023

2022

BILCO: An Efficient Algorithm for Joint Alignment of Time Series.

Xuelong Mi, Mengfan Wang, Alex Bo-Yuan Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FourierNets enable the design of highly non-local optical encoders for computational imaging.

Diptodip Deb, Zhenfei Jiao, Ruth R. Sims, Alex B. Chen, Michael Broxton, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Programmable 3D snapshot microscopy with Fourier convolutional networks.

Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga

CoRR, 2021

2019

Deformable Registration of Whole Brain Zebrafish Microscopy Using an Implementation of the Flash Algorithm Within Ants.

Greg M. Fleishman, Miaomiao Zhang, Nicholas J. Tustison, Isabel Espinosa-Medina, Yu Mu, Khaled Khairy, Misha B. Ahrens

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017

Multi-scale approaches for high-speed imaging and analysis of large neural populations.

Johannes Friedrich, Weijian Yang, Daniel Soudry, Yu Mu, Misha B. Ahrens, Rafael Yuste, Darcy S. Peterka, Liam Paninski

PLoS Comput. Biol., 2017

2007

Inferring Elapsed Time from Stochastic Neural Processes.

Misha B. Ahrens, Maneesh Sahani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2005

Large-scale biophysical parameter estimation in single neurons via constrained linear regression.

Misha B. Ahrens, Quentin J. M. Huys, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005