Prediction on Spike Data Using Kernel Algorithms. - Jan Eichhorn; Andreas S. Tolias; Alexander Zien; Malte Kuss; Carl Edward Rasmussen; Jason Weston; Nikos K. Logothetis; Bernhard Schölkopf (NIPS, 2003)

Modelling Spikes with Mixtures of Factor Analysers. - Dilan Görür; Carl Edward Rasmussen; Andreas S. Tolias; Fabian H. Sinz; Nikos K. Logothetis (DAGM-Symposium, 2004)

fMRI of the temporal lobe of the awake monkey at 7 T. - Jozien B. M. Goense; Shih-Pi Ku; Hellmut Merkle; Andreas S. Tolias; Nikos K. Logothetis (NeuroImage, 2008)

Generating Spike Trains with Specified Correlation Coefficients. - Jakob H. Macke; Philipp Berens; Alexander S. Ecker; Andreas S. Tolias; Matthias Bethge (Neural Comput., 2009)

Improved Estimation and Interpretation of Correlations in Neural Circuits. - Dimitri Yatsenko; Kresimir Josic; Alexander S. Ecker; Emmanouil Froudarakis; R. James Cotton; Andreas S. Tolias (PLoS Comput. Biol., 2015)

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. - 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 (NeurIPS, 2018)

DataJoint: A Simpler Relational Data Model. - Dimitri Yatsenko; Edgar Y. Walker; Andreas S. Tolias (CoRR, 2018)

Generative replay with feedback connections as a general strategy for continual learning. - Michiel van der Ven; Andreas S. Tolias (CoRR, 2018)

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. - Philipp Berens; Jeremy Freeman; Thomas Deneux; Nicolay Chenkov; Thomas McColgan; Artur Speiser; Jakob H. Macke; Srinivas C. Turaga; Patrick J. Mineault; Peter Rupprecht; Stephan Gerhard; Rainer W. Friedrich; et al. (PLoS Comput. Biol., 2018)

A rotation-equivariant convolutional neural network model of primary visual cortex. - 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 (ICLR (Poster), 2019)

Learning from brains how to regularize machines. - Zhe Li 002; Wieland Brendel; Edgar Y. Walker; Erick Cobos; Taliah Muhammad; Jacob Reimer; Matthias Bethge; Fabian H. Sinz; Xaq Pitkow; Andreas S. Tolias (NeurIPS, 2019)

Three scenarios for continual learning. - Gido M. van de Ven; Andreas S. Tolias (CoRR, 2019)

Deep convolutional models improve predictions of macaque V1 responses to natural images. - Santiago A. Cadena; George H. Denfield; Edgar Y. Walker; Leon A. Gatys; Andreas S. Tolias; Matthias Bethge; Alexander S. Ecker (PLoS Comput. Biol., 2019)

Rotation-invariant clustering of neuronal responses in primary visual cortex. - Ivan Ustyuzhaninov; Santiago A. Cadena; Emmanouil Froudarakis; Paul G. Fahey; Edgar Y. Walker; Erick Cobos; Jacob Reimer; Fabian H. Sinz; Andreas S. Tolias; Matthias Bethge; Alexander S. Ecker (ICLR, 2020)

Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses. - R. James Cotton; Fabian H. Sinz; Andreas S. Tolias (NeurIPS, 2020)

Flexible Few-Shot Learning with Contextual Similarity. - Mengye Ren; Eleni Triantafillou; Kuan-Chieh Wang; James Lucas; Jake Snell; Xaq Pitkow; Andreas S. Tolias; Richard S. Zemel (CoRR, 2020)

Inference of synaptic connectivity and external variability in neural microcircuits. - Cody Baker; Emmanouil Froudarakis; Dimitri Yatsenko; Andreas S. Tolias; Robert Rosenbaum (J. Comput. Neurosci., 2020)

Avalanche: An End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CVPR Workshops, 2021)

Class-Incremental Learning With Generative Classifiers. - Gido M. van de Ven; Zhe Li 002; Andreas S. Tolias (CVPR Workshops, 2021)

Generalization in data-driven models of primary visual cortex. - Konstantin-Klemens Lurz; Mohammad Bashiri; Konstantin Willeke; Akshay Kumar Jagadish; Eric Wang; Edgar Y. Walker; Santiago A. Cadena; Taliah Muhammad; Erick Cobos; Andreas S. Tolias; Alexander S. Ecker; Fabian H. Sinz (ICLR, 2021)

AvaTr: One-Shot Speaker Extraction with Transformers. - Shell Xu Hu; Md Rifat Arefin; Viet-Nhat Nguyen; Alish Dipani; Xaq Pitkow; Andreas Savas Tolias (Interspeech, 2021)

A flow-based latent state generative model of neural population responses to natural images. - Mohammad Bashiri; Edgar Y. Walker; Konstantin-Klemens Lurz; Akshay Kumar Jagadish; Taliah Muhammad; Zhiwei Ding; Zhuokun Ding; Andreas S. Tolias; Fabian H. Sinz (NeurIPS, 2021)

Towards robust vision by multi-task learning on monkey visual cortex. - Shahd Safarani; Arne Nix; Konstantin Willeke; Santiago A. Cadena; Kelli Restivo; George H. Denfield; Andreas S. Tolias; Fabian H. Sinz (NeurIPS, 2021)

Retrospective on the SENSORIUM 2022 competition. - 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; et al. (NeurIPS (Competition and Demos), 2021)

Avalanche: an End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CoRR, 2021)

Learning divisive normalization in primary visual cortex. - Max F. Burg; Santiago A. Cadena; George H. Denfield; Edgar Y. Walker; Andreas S. Tolias; Matthias Bethge; Alexander S. Ecker (PLoS Comput. Biol., 2021)

Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks. - Zhe Li 002; Andreas S. Tolias; Xaq Pitkow (CoRR, 2022)

The Sensorium competition on predicting large-scale mouse primary visual cortex activity. - 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; et al. (CoRR, 2022)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)

Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. - Nikos Karantzas; Emma Besier; Josue Ortega Caro; Xaq Pitkow; Andreas S. Tolias; Ankit B. Patel; Fabio Anselmi (Frontiers Artif. Intell., 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Three types of incremental learning. - Gido M. van de Ven; Tinne Tuytelaars; Andreas S. Tolias (Nat. Mac. Intell., 2022)

Energy Guided Diffusion for Generating Neurally Exciting Images. - Pawel A. Pierzchlewicz; Konstantin Willeke; Arne Nix; Pavithra Elumalai; Kelli Restivo; Tori Shinn; Cate Nealley; Gabrielle Rodriguez; Saumil S. Patel; Katrin Franke; Andreas S. Tolias; Fabian H. Sinz (NeurIPS, 2023)

Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system. - Suhas Shrinivasan; Konstantin-Klemens Lurz; Kelli Restivo; George H. Denfield; Andreas S. Tolias; Edgar Y. Walker; Fabian H. Sinz (NeurIPS, 2023)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

Most discriminative stimuli for functional cell type clustering. - Max F. Burg; Thomas Zenkel; Michaela Vystrcilová; Jonathan Oesterle; Larissa Höfling; Konstantin F. Willeke; Jan Lause; Sarah Müller; Paul G. Fahey; Zhiwei Ding; Kelli Restivo; Shashwat Sridhar; et al. (ICLR, 2024)

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos. - Polina Turishcheva; Paul G. Fahey; Michaela Vystrcilová; Laura Hansel; Rachel Froebe; Kayla Ponder; Yongrong Qiu; Konstantin Willeke; Mohammad Bashiri; Ruslan Baikulov; Yu Zhu; Lei Ma 008; et al. (NeurIPS, 2024)

Generalization properties of contrastive world models. - Kandan Ramakrishnan; R. James Cotton; Xaq Pitkow; Andreas S. Tolias (CoRR, 2024)

Most discriminative stimuli for functional cell type identification. - Max F. Burg; Thomas Zenkel; Michaela Vystrcilová; Jonathan Oesterle; Larissa Höfling; Konstantin F. Willeke; Jan Lause; Sarah Müller; Paul G. Fahey; Zhiwei Ding; Kelli Restivo; Shashwat Sridhar; et al. (CoRR, 2024)

NeuroAI for AI Safety. - Patrick J. Mineault; Niccoló Zanichelli; Joanne Zichen Peng; Anton Arkhipov; Eli Bingham; Julian Jara-Ettinger; Emily Mackevicius; Adam H. Marblestone; Marcelo Mattar; Andrew Payne; Sophia Sanborn; Karen Schroeder; et al. (CoRR, 2024)

Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. - Santiago A. Cadena; Konstantin F. Willeke; Kelli Restivo; George H. Denfield; Fabian H. Sinz; Matthias Bethge; Andreas S. Tolias; Alexander S. Ecker (PLoS Comput. Biol., 2024)

Continual Learning: Applications and the Road Forward. - Eli Verwimp; Rahaf Aljundi; Shai Ben-David; Matthias Bethge; Andrea Cossu; Alexander Gepperth; Tyler L. Hayes; Eyke Hüllermeier; Christopher Kanan; Dhireesha Kudithipudi; Christoph H. Lampert; Martin Mundt; et al. (Trans. Mach. Learn. Res., 2024)

Replay Can Provably Increase Forgetting. - Yasaman Mahdaviyeh; James Lucas; Mengye Ren; Andreas S. Tolias; Richard S. Zemel; Toniann Pitassi (CoRR, 2025)