@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 {69286, title = {Coordinated head direction representations in mouse anterodorsal thalamic nucleus and retrosplenial cortex.}, journal = {Elife}, volume = {13}, year = {2024}, month = {2024 Mar 12}, abstract = {

The sense of direction is critical for survival in changing environments and relies on flexibly integrating self-motion signals with external sensory cues. While the anatomical substrates involved in head direction (HD) coding are well known, the mechanisms by which visual information updates HD representations remain poorly understood. Retrosplenial cortex (RSC) plays a key role in forming coherent representations of space in mammals and it encodes a variety of navigational variables, including HD. Here, we use simultaneous two-area tetrode recording to show that RSC HD representation is nearly synchronous with that of the anterodorsal nucleus of thalamus (ADn), the obligatory thalamic relay of HD to cortex, during rotation of a prominent visual cue. Moreover, coordination of HD representations in the two regions is maintained during darkness. We further show that anatomical and functional connectivity are consistent with a strong feedforward drive of HD information from ADn to RSC, with anatomically restricted corticothalamic feedback. Together, our results indicate a concerted global HD reference update across cortex and thalamus.

}, keywords = {Animals, Anterior Thalamic Nuclei, Cerebral Cortex, Cues, Gyrus Cinguli, Mammals, Mice, Rotation}, issn = {2050-084X}, doi = {10.7554/eLife.82952}, author = {van der Goes, Marie-Sophie H and Voigts, Jakob and Newman, Jonathan P and Toloza, Enrique H S and Brown, Norma J and Murugan, Pranav and Harnett, Mark T} } @article {69510, title = {Neocortical inhibitory imbalance predicts successful sensory detection.}, journal = {Cell Rep}, volume = {43}, year = {2024}, month = {2024 Jun 20}, pages = {114233}, abstract = {

Perceptual success depends on fast-spiking, parvalbumin-positive interneurons (FS/PVs). However, competing theories of optimal rate and correlation in pyramidal (PYR) firing make opposing predictions regarding the underlying FS/PV dynamics. We addressed this with population calcium imaging of FS/PVs and putative PYR neurons during threshold detection. In primary somatosensory and visual neocortex, a distinct PYR subset shows increased rate and spike-count correlations on detected trials ("hits"), while most show no rate change and decreased correlations. A larger fraction of FS/PVs predicts hits with either rate increases or decreases. Using computational modeling, we found that inhibitory imbalance, created by excitatory "feedback" and interactions between FS/PV pools, can account for the data. Rate-decreasing FS/PVs increase rate and correlation in a PYR subset, while rate-increasing FS/PVs reduce correlations and offset enhanced excitation in PYR neurons. These findings indicate that selection of informative PYR ensembles, through transient inhibitory imbalance, is a common motif of optimal neocortical processing.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2024.114233}, author = {Deister, Christopher A and Moore, Alexander I and Voigts, Jakob and Bechek, Sophia and Lichtin, Rebecca and Brown, Tyler C and Moore, Christopher I} } @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} } @article {66001, title = {Systems Neuroscience of Natural Behaviors in Rodents.}, journal = {Journal of Neuroscience}, volume = {41}, year = {2021}, month = {2021 Feb 03}, pages = {911-1}, abstract = {

Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in more natural conditions while applying systems techniques: performing temporally specific perturbations, modeling behavioral strategies, and recording from large numbers of neurons while animals are freely moving. The authors of this review are a group of scientists with deep appreciation for the common aims of systems neuroscience, ecology, and ethology. We believe it is an extremely exciting time to be a neuroscientist, as we have an opportunity to grow as a field, to embrace interdisciplinary, open, collaborative research to provide new insights and allow researchers to link knowledge across disciplines, species, and scales. Here we discuss the origins of ethology, ecology, and systems neuroscience in the context of our own work and highlight how combining approaches across these fields has provided fresh insights into our research. We hope this review facilitates some of these interactions and alliances and helps us all do even better science, together.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.1877-20.2020}, author = {Dennis, Emily Jane and El Hady, Ahmed and Michaiel, Angie and Clemens, Ann and Gowan Tervo, Dougal R and Voigts, Jakob and Datta, Sandeep Robert} } @article {67853, title = {Systems Neuroscience of Natural Behaviors in Rodents}, journal = {Journal of Neuroscience}, volume = {41}, year = {2021}, month = {02/2021}, pages = {911{\textendash}919}, abstract = {

Animals evolved in complex environments, producing a wide range of behaviors, including navigation, foraging, prey capture, and conspecific interactions, which vary over timescales ranging from milliseconds to days. Historically, these behaviors have been the focus of study for ecology and ethology, while systems neuroscience has largely focused on short timescale behaviors that can be repeated thousands of times and occur in highly artificial environments. Thanks to recent advances in machine learning, miniaturization, and computation, it is newly possible to study freely moving animals in more natural conditions while applying systems techniques: performing temporally specific perturbations, modeling behavioral strategies, and recording from large numbers of neurons while animals are freely moving. The authors of this review are a group of scientists with deep appreciation for the common aims of systems neuroscience, ecology, and ethology. We believe it is an extremely exciting time to be a neuroscientist, as we have an opportunity to grow as a field, to embrace interdisciplinary, open, collaborative research to provide new insights and allow researchers to link knowledge across disciplines, species, and scales. Here we discuss the origins of ethology, ecology, and systems neuroscience in the context of our own work and highlight how combining approaches across these fields has provided fresh insights into our research. We hope this review facilitates some of these interactions and alliances and helps us all do even better science, together.

}, issn = {0270-6474}, doi = {10.1523/JNEUROSCI.1877-20.2020}, url = {https://www.jneurosci.org/content/41/5/911}, author = {Dennis, Emily Jane and El Hady, Ahmed and Michaiel, Angie and Clemens, Ann and Tervo, Dougal R. Gowan and Voigts, Jakob and Datta, Sandeep Robert} }