@article {69984, title = {Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex}, journal = {Nat Neurosci}, volume = {28}, year = {2025}, month = {2025 Jun 06}, pages = {1293-1299}, abstract = {

From visual perception to language, sensory stimuli change their meaning depending on previous experience. Recurrent neural dynamics can interpret stimuli based on externally cued context, but it is unknown whether they can compute and employ internal hypotheses to resolve ambiguities. Here we show that mouse retrosplenial cortex (RSC) can form several hypotheses over time and perform spatial reasoning through recurrent dynamics. In our task, mice navigated using ambiguous landmarks that are identified through their mutual spatial relationship, requiring sequential refinement of hypotheses. Neurons in RSC and in artificial neural networks encoded mixtures of hypotheses, location and sensory information, and were constrained by robust low-dimensional dynamics. RSC encoded hypotheses as locations in activity space with divergent trajectories for identical sensory inputs, enabling their correct interpretation. Our results indicate that interactions between internal hypotheses and external sensory data in recurrent circuits can provide a substrate for complex sequential cognitive reasoning.

Preprint: https://doi.org/10.1101/2022.04.12.488024v1

}, keywords = {Animals, Cerebral Cortex, Gyrus Cinguli, Male, Mice, Mice, Inbred C57BL, Models, Neurological, Neural Networks, Computer, Neurons, Photic Stimulation, Space Perception}, issn = {1546-1726}, doi = {10.1038/s41593-025-01944-z}, url = {https://doi.org/10.1038/s41593-025-01944-z}, author = {Voigts, Jakob and Kanitscheider, Ingmar and Miller, Nicholas J and Toloza, Enrique H S and Newman, Jonathan P and Fiete, Ila R and Harnett, Mark T} } @article {69669, title = {ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.}, journal = {Nat Methods}, year = {2024}, month = {2024 Nov 11}, abstract = {

Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge we developed ONIX, an open-source data acquisition system with high data throughput (2 GB s) and low closed-loop latencies (\<1 ms) that uses a 0.3-mm thin tether to minimize behavioral impact. Head position and rotation are tracked in three dimensions and used to drive active commutation without torque measurements. ONIX can acquire data from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, three-dimensional trackers and other data sources. We performed uninterrupted, long (~7 h) neural recordings in mice as they traversed complex three-dimensional terrain, and multiday sleep-tracking recordings (~55 h). ONIX enabled exploration with similar mobility as nonimplanted animals, in contrast to conventional tethered systems, which have restricted movement. By combining long recordings with full mobility, our technology will enable progress on questions that require high-quality neural recordings during ethologically grounded behaviors.

}, issn = {1548-7105}, doi = {10.1038/s41592-024-02521-1}, url = {https://doi.org/10.1038/s41592-024-02521-1}, author = {Newman, Jonathan P and Zhang, Jie and Cuevas-L{\'o}pez, Aar{\'o}n and Miller, Nicholas J and Honda, Takato and van der Goes, Marie-Sophie H and Leighton, Alexandra H and Carvalho, Filipe and Lopes, Gon{\c c}alo and Lakunina, Anna and Siegle, Joshua H and Harnett, Mark T and Wilson, Matthew A and Voigts, Jakob} }