Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| author | Aizenbud, Ido Audette, Nicholas Auksztulewicz, Ryszard Basiński, Krzysztof Bastos, André M. Berry, Michael Canales-Johnson, Andres Choi, Hannah Clopath, Claudia Cohen, Uri Costa, Rui Ponte De Filippo, Roberto Doronin, Roman Durand, Séverine Errington, Steven P. Gavornik, Jeffrey P. Gillon, Colleen J. Granier, Arno Hamm, Jordan P. Hertäg, Loreen Kennedy, Henry Kumar, Sandeep Ladd, Alexander Ladret, Hugo Lecoq, Jérôme A. Maier, Alexander McCarthy, Patrick Mei, Jie Mejias, Jorge Meng, John Hongyu Mikulasch, Fabian Mudrik, Noga Najafi, Farzaneh Nejad, Kevin Nejat, Hamed Oweiss, Karim Petrovici, Mihai A. Priesemann, Viola Rudelt, Lucas Ruediger, Sarah Russo, Simone Salatiello, Alessandro Senn, Walter Sennesh, Eli Sima, Sepehr Uran, Cem Vasilevskaya, Anna Vezoli, Julien Vinck, Martin Wang, Xiao-Jing Westerberg, Jacob A. Wilmes, Katharina Xiong, Yihan Sophy |
| author_facet | Aizenbud, Ido Audette, Nicholas Auksztulewicz, Ryszard Basiński, Krzysztof Bastos, André M. Berry, Michael Canales-Johnson, Andres Choi, Hannah Clopath, Claudia Cohen, Uri Costa, Rui Ponte De Filippo, Roberto Doronin, Roman Durand, Séverine Errington, Steven P. Gavornik, Jeffrey P. Gillon, Colleen J. Granier, Arno Hamm, Jordan P. Hertäg, Loreen Kennedy, Henry Kumar, Sandeep Ladd, Alexander Ladret, Hugo Lecoq, Jérôme A. Maier, Alexander McCarthy, Patrick Mei, Jie Mejias, Jorge Meng, John Hongyu Mikulasch, Fabian Mudrik, Noga Najafi, Farzaneh Nejad, Kevin Nejat, Hamed Oweiss, Karim Petrovici, Mihai A. Priesemann, Viola Rudelt, Lucas Ruediger, Sarah Russo, Simone Salatiello, Alessandro Senn, Walter Sennesh, Eli Sima, Sepehr Uran, Cem Vasilevskaya, Anna Vezoli, Julien Vinck, Martin Wang, Xiao-Jing Westerberg, Jacob A. Wilmes, Katharina Xiong, Yihan Sophy |
| contents | This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining neuronal responses by highlighting prediction errors. We identify key computational primitives, such as stimulus adaptation, dendritic computation, excitatory/inhibitory balance and hierarchical processing, as central to this framework. Our review highlights convergences, such as top-down inputs and inhibitory interneurons shaping mismatch signals, and divergences, including species-specific hierarchies and modality-dependent layer roles. To address these conflicts, we propose experiments in mice and primates using in-vivo two-photon imaging and electrophysiological recordings to test whether temporal, motor, and omission mismatch stimuli engage shared or distinct mechanisms. The resulting dataset, collected and shared via the OpenScope program, will enable model validation and community analysis, fostering iterative refinement and refutability to decode the neural circuits of predictive processing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09614 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program Aizenbud, Ido Audette, Nicholas Auksztulewicz, Ryszard Basiński, Krzysztof Bastos, André M. Berry, Michael Canales-Johnson, Andres Choi, Hannah Clopath, Claudia Cohen, Uri Costa, Rui Ponte De Filippo, Roberto Doronin, Roman Durand, Séverine Errington, Steven P. Gavornik, Jeffrey P. Gillon, Colleen J. Granier, Arno Hamm, Jordan P. Hertäg, Loreen Kennedy, Henry Kumar, Sandeep Ladd, Alexander Ladret, Hugo Lecoq, Jérôme A. Maier, Alexander McCarthy, Patrick Mei, Jie Mejias, Jorge Meng, John Hongyu Mikulasch, Fabian Mudrik, Noga Najafi, Farzaneh Nejad, Kevin Nejat, Hamed Oweiss, Karim Petrovici, Mihai A. Priesemann, Viola Rudelt, Lucas Ruediger, Sarah Russo, Simone Salatiello, Alessandro Senn, Walter Sennesh, Eli Sima, Sepehr Uran, Cem Vasilevskaya, Anna Vezoli, Julien Vinck, Martin Wang, Xiao-Jing Westerberg, Jacob A. Wilmes, Katharina Xiong, Yihan Sophy Neurons and Cognition This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining neuronal responses by highlighting prediction errors. We identify key computational primitives, such as stimulus adaptation, dendritic computation, excitatory/inhibitory balance and hierarchical processing, as central to this framework. Our review highlights convergences, such as top-down inputs and inhibitory interneurons shaping mismatch signals, and divergences, including species-specific hierarchies and modality-dependent layer roles. To address these conflicts, we propose experiments in mice and primates using in-vivo two-photon imaging and electrophysiological recordings to test whether temporal, motor, and omission mismatch stimuli engage shared or distinct mechanisms. The resulting dataset, collected and shared via the OpenScope program, will enable model validation and community analysis, fostering iterative refinement and refutability to decode the neural circuits of predictive processing. |
| title | Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2504.09614 |