Neural Twins
We develop deep learning models that predict the responses of neural populations to arbitrary sensory inputs. Starting from convolutional and recurrent architectures for mouse and primate visual cortex, our work has scaled to multi-modal foundation models trained on hundreds of billions of neural tokens (OmniMouse), latent-variable models that capture stimulus-independent neural dynamics, and probabilistic approaches that quantify uncertainty over neural responses. Through the Sensorium competition series, we also curate large-scale benchmark datasets and challenges that drive methodological progress across the community. These models are not endpoints — they are the substrate on which all downstream scientific analyses in the lab are built.
Contributors
Publications
2026
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Yongrong Qiu*, Lisa Schmors*, Na Zhou*, Mels Akhmetali†, Dominic Gonschorek†, Cameron Smith, Anton Sumser, Marie Vallens, Cathryn R. Cadwell, Fabrizio Gabbiani, Maximilian Joesch, Andreas Tolias, Philipp Berens, Thomas Euler, Fabian Sinz1, Jacob Reimer1, Katrin Franke1
The functional organization of retinal input to the mouse superior colliculus
bioRxiv
, equal contribution: *, †, 1
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Konstantin F. Willeke1, Kelli Restivo1, Katrin Franke, Arne F. Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabby Rodriguez, Saumil Patel, Alexander S. Ecker, Fabian H. Sinz2, Andreas S. Tolias2
Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization
eLife
, equal contribution: 1, 2
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Konstantin Friedrich Willeke1, Polina Turishcheva1, Alex Gilbert1, Goirik Chakrabarty, Hasan Atakan Bedel, Paul G. Fahey, Yongrong Qiu, Marissa A. Weis, Michaela Vystrčilová, Taliah Muhammad, Lydia Ntanavara, Rachel E Froebe, Kayla Ponder, Zheng Huan Tan, Emin Orhan, Erick Cobos, Sophia Sanborn, Katrin Franke, Fabian H. Sinz2, Alexander S. Ecker2, Andreas S. Tolias2
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
ICLR 2026
, equal contribution: 1, 2
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2025
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Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas Tolias, Fabian H. Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens
TRACE: Contrastive learning for multi-trial time-series data in neuroscience
NeurIPS
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Finn Schmidt, Polina Turishcheva, Suhas Shrinivasan, Fabian Sinz
Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
NeurIPS
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Zhuokun Ding, Paul G. Fahey, Stelios Papadopoulos, Eric Y. Wang, Brendan Celii, Christos Papadopoulos, Andersen Chang, Alexander B. Kunin, Dat Tran, Jiakun Fu, Zhiwei Ding, Saumil Patel, Lydia Ntanavara, Rachel Froebe, Kayla Ponder, Taliah Muhammad, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris A. Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc M. Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Dimitri Yatsenko, Emmanouil Froudarakis, Fabian H. Sinz, Krešimir Josić, Robert Rosenbaum, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Edgar Y. Walker, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
Functional connectomics reveals general wiring rule in mouse visual cortex
Nature
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Eric Y. Wang, Paul G. Fahey, Zhuokun Ding, Stelios Papadopoulos, Kayla Ponder, Marissa A. Weis, Andersen Chang, Taliah Muhammad, Saumil Patel, Zhiwei Ding, Dat Tran, Jiakun Fu, Casey M. Schneider-Mizell, R. Clay Reid, Forrest Collman, Nuno Maçarico da Costa, Katrin Franke, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Fabian H. Sinz, Andreas S. Tolias
Foundation model of neural activity predicts response to new stimulus types
Nature
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Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey, Eric Wang, Christos Papadopoulos, Alexander Kunin, Saumil Patel, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Erick Cobos, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, Casey M. Schneider-Mizell, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Szi-chieh Yu, Wenjing Yin, Daniel Xenes, Lindsey M. Kitchell, Patricia K. Rivlin, Victoria A. Rose, Caitlyn A. Bishop, Brock Wester, Emmanouil Froudarakis, Edgar Y. Walker, Fabian H. Sinz, H. Sebastian Seung, Forrest Collman, Nuno Maçarico da Costa, R. Clay Reid, Xaq Pitkow, Andreas S. Tolias, Jacob Reimer
NEURD offers automated proofreading and feature extraction for connectomics
Nature
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MICrONS Consortium, J. Alexander Bae, Mahaly Baptiste, Maya R. Baptiste, Caitlyn A. Bishop, Agnes L. Bodor, Derrick Brittain, Victoria Brooks, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Brendan Celii, Erick Cobos, Forrest Collman, Nuno Maçarico da Costa, Bethanny P. Danskin, Sven Dorkenwald, Leila Elabbady, Paul G. Fahey, Tim P. Fliss, Emmanouil Froudarakis, Jay Gager, Clare Ruth Gamlin, William Gray-Roncal, Akhilesh Halageri, James Hebditch, Zhen Jia, Emily Joyce, Justin Ellis-Joyce, Chris A. Jordan, Daniel Kapner, Nico Kemnitz, Sam Kinn, Lindsey M. Kitchell, Selden Koolman, Kai Kuehner, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Jordan Matelsky, Sarah McReynolds, Elanine Miranda, Eric Mitchell, Shanka Subhra Mondal, Merlin Moore, Shang Mu, Taliah Muhammad, Barak Nehoran, Erika R. Neace, Oluwaseun Ogedengbe, Christos Papadopoulos, Stelios Papadopoulos, Saumil Patel, Guadalupe Jovita Yasmin Perez Vega, Xaq Pitkow, Sergiy Popovych, Anthony Ramos, R. Clay Reid, Jacob Reimer, Patricia K. Rivlin, Victoria A. Rose, Zachary M. Sauter, Casey M. Schneider-Mizell, H. Sebastian Seung, Ben Silverman, William Silversmith, Amy Robinson Sterling, Fabian H. Sinz, Cameron L. Smith, Rachael Swanstrom, Shelby K. Suckow, Marc M. Takeno, Zheng Huan Tan, Andreas S. Tolias, Russel Torres, Nicholas L. Turner, Edgar Y. Walker, Tianyu Wang, Adrian Wanner, Brock A. Wester, Grace Williams, Sarah Williams, Kyle Patrick Willie, Ryan Willie, William Wong, Jingpeng Wu, Chris Xu, Runzhe Yang, Dimitri Yatsenko, Fei Ye, Wenjing Yin, Rob Young, Szi-chieh Yu, Daniel Xenes, Chi Zhang
Functional connectomics spanning multiple areas of mouse visual cortex
Nature
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2024
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Finn Schmidt, Suhas Shrinivasan1, Polina Turishcheva1, Fabian Sinz
Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
NeuReps @ NeurIPS 2024
, equal contribution: 1
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Polina Turishcheva, Max Burg, Fabian H. Sinz, Alexander Ecker
Reproducibility of predictive networks for mouse visual cortex
NeurIPS
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Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel E Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Friedrich Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S Ecker
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NeurIPS 2024
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Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander Ecker, Thomas Euler, Yongrong Qiu
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification
PLoS CB
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Taesung Jung, Nanyu Zeng, Jason D. Fabbri, Guy Eichler, Zhe Li, Konstantin Willeke, Katie E. Wingel, Agrita Dubey, Rizwan Huq, Mohit Sharma, Yaoxing Hu, Girish Ramakrishnan, Kevin Tien, Paolo Mantovani, Abhinav Parihar, Heyu Yin, Denise Oswalt, Alexander Misdorp, Ilke Uguz, Tori Shinn, Gabrielle J. Rodriguez, Cate Nealley, Ian Gonzales, Michael Roukes, Jeffrey Knecht, Daniel Yoshor, Peter Canoll, Eleonora Spinazzi, Luca P. Carloni, Bijan Pesaran, Saumil Patel, Brett Youngerman, R. James Cotton, Andreas Tolias, Kenneth L. Shepard
Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device
bioRxiv
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2023
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Pawel A. Pierzchlewicz, Konstantin F. Willeke, Arne F. Nix, Pavithra Elumalai, Kelli Restivo, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Patel, Katrin Franke, Andreas S. Tolias, Fabian H. Sinz
Energy Guided Diffusion for Generating Neurally Exciting Images
NeurIPS
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Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz
Retrospective on the SENSORIUM 2022 competition
Proceedings of Machine Learning Research
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Polina Turishcheva, Paul G. Fahey, Laura Hansel, Rachel Froebe, Kayla Ponder, Michaela Vystrčilová, Konstantin F. Willeke, Mohammad Bashiri, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker
The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos
arXiv
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Konstantin-Klemens Lurz1, Mohammad Bashiri1, Edgar Y. Walker, Fabian H. Sinz
Bayesian Oracle for bounding information gain in neural encoding models
ICLR 2023
, equal contribution: 1
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2022
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Erick Cobos, Taliah Muhammad, Paul G Fahey, Zhiwei Ding, Zhuokun Ding, Jacob Reimer, Fabian H. Sinz, Andreas Tolias
It takes neurons to understand neurons: Digital twins of visual cortex synthesize neural metamers
biorXiv
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Konstantin Lurz, Mohammad Bashiri, Fabian Sinz
Bayesian Oracle for bounding information gain in neural encoding models
Neurips 2022 Workshop InfoCog
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Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
arXiv
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2021
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Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz
A flow-based latent state generative model of neural population responses to natural images
NeurIPS (spotlight)
conference paper
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neural twins
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openreview
twitter
teaser-youtube
talk-youtube
github
simulation demo
biorXiv
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Max F. Burg, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker
Learning Divisive Normalization in Primary Visual Cortex
PLoS Computational Biology
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Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Friedrich Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y Walker, Santiago Cadena, Taliah Muhammad, Eric Cobos, Andreas Tolias, Alexander Ecker, Fabian Sinz
Generalization in data-driven models of primary visual cortex
ICLR (spotlight)
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2020
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James R. Cotton, Fabian H. Sinz, Andreas S. Tolias
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
NeurIPS
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2019
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Edgar Y. Walker1, Fabian H. Sinz1, Erick Cobos, Taliah Muhammad, Emmanouil Froudarakis, Paul G. Fahey, Alexander S. Ecker, Jacob Reimer, Xaq Pitkow, Andreas S. Tolias
Inception loops discover what excites neurons most using deep predictive models
Nature Neuroscience
, equal contribution: 1
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Santiago A. Cadena, Fabian H. Sinz, Taliah Muhammad, Emmanouil Froudarakis, Erick Cobos, Edgar Y. Walker, Jake Reimer, Matthias Bethge, Andreas Tolias, Alexander S. Ecker
How well do deep neural networks trained on object recognition characterize the mouse visual system?
NeurIPS workshop on Real Neurons & Hidden Units
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Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge
A rotation-equivariant convolutional neural network model of primary visual cortex
ICLR 2019
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S. A. Cadena, G. H. Denfield, E. Y. Walker, L. A. Gatys, A. S. Tolias, M. Bethge, and A. S. Ecker
Deep convolutional models improve predictions of macaque V1 responses to natural images
PLoS Computational Biology
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2018
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Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
NeurIPS
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