@article {68938, title = {Learning produces an orthogonalized state machine in the hippocampus.}, journal = {Nature}, volume = {640}, year = {2025}, month = {2025 February 12}, abstract = {

Cognitive maps confer animals with flexible intelligence by representing spatial, temporal and abstract relationships that can be used to shape thought, planning and behaviour. Cognitive maps have been observed in the hippocampus1, but their algorithmic form and learning mechanisms remain obscure. Here we used large-scale, longitudinal two-photon calcium imaging to record activity from thousands of neurons in the CA1 region of the hippocampus while mice learned to efficiently collect rewards from two subtly different linear tracks in virtual reality. Throughout learning, both animal behaviour and hippocampal neural activity progressed through multiple stages, gradually revealing improved task representation that mirrored improved behavioural efficiency. The learning process involved progressive decorrelations in initially similar hippocampal neural activity within and across tracks, ultimately resulting in orthogonalized representations resembling a state machine capturing the inherent structure of the task. This decorrelation process was driven by individual neurons acquiring task-state-specific responses (that is, {\textquoteright}state cells{\textquoteright}). Although various standard artificial neural networks did not naturally capture these dynamics, the clone-structured causal graph, a hidden Markov model variant, uniquely reproduced both the final orthogonalized states and the learning trajectory seen in animals. The observed cellular and population dynamics constrain the mechanisms underlying cognitive map formation in the hippocampus, pointing to hidden state inference as a fundamental computational principle, with implications for both biological and artificial intelligence.

}, doi = {10.1038/s41586-024-08548-w}, url = {https://doi.org/10.1038/s41586-024-08548-w}, author = {Sun, Weinan and Winnubst, Johan and Natrajan, Maanasa and Lai, Chongxi and Kajikawa, Koichiro and Michaelos, Michalis and Gattoni, Rachel and Stringer, Carsen and Flickinger, Daniel and Fitzgerald, James E and Spruston, Nelson} } @article {65824, title = {Linking axon morphology to gene expression: a strategy for neuronal cell-type classification.}, journal = {Current Opinion in Neurobiology}, volume = {65}, year = {2020}, month = {2020 Dec 01}, pages = {70-76}, abstract = {

To study how the brain drives cognition and behavior we need to understand its cellular composition. Advances in single-cell transcriptomics have revolutionized our ability to characterize neuronal diversity. To arrive at meaningful descriptions of cell types, however, gene expression must be linked to structural and functional properties. Axonal projection patterns are an appropriate measure, as they are diverse, change only gradually over time, and they influence and constrain circuit function. Here, we consider how efforts to map transcriptional and morphological diversity in the mouse brain could be linked to generate a modern taxonomy of the mouse brain.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2020.10.006}, author = {Winnubst, Johan and Spruston, Nelson and Harris, Julie A} } @article {65908, title = {Linking axon morphology to gene expression: a strategy for neuronal cell-type classification.}, journal = {Current Opinion in Neurobiology}, volume = {65}, year = {2020}, month = {2020 Dec 01}, pages = {70-76}, abstract = {

To study how the brain drives cognition and behavior we need to understand its cellular composition. Advances in single-cell transcriptomics have revolutionized our ability to characterize neuronal diversity. To arrive at meaningful descriptions of cell types, however, gene expression must be linked to structural and functional properties. Axonal projection patterns are an appropriate measure, as they are diverse, change only gradually over time, and they influence and constrain circuit function. Here, we consider how efforts to map transcriptional and morphological diversity in the mouse brain could be linked to generate a modern taxonomy of the mouse brain.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2020.10.006}, author = {Winnubst, Johan and Spruston, Nelson and Harris, Julie A} } @article {65138, title = {Reconstruction of 1,000 projection neurons reveals new cell types and organization of long-range connectivity in the mouse brain.}, journal = {Cell}, volume = {179}, year = {2019}, month = {2019 Sep 19}, pages = {268-81}, abstract = {

Neuronal\ cell\ types\ are the nodes of neural circuits that determine the flow of information within the\ brain. Neuronal morphology, especially the shape of the axonal arbor, provides an essential descriptor of\ cell\ type and\ reveals\ how individual\ neurons\ route their output across the\ brain. Despite the importance of morphology, few\ projection\ neurons\ in the\ mouse\ brain\ have been reconstructed in their entirety. Here we present a robust and efficient platform for imaging and reconstructing complete neuronal morphologies, including axonal arbors that span substantial portions of the\ brain. We used this platform to reconstruct more than\ 1,000\ projection\ neurons\ in the motor cortex, thalamus, subiculum, and hypothalamus. Together, the reconstructed\ neurons\ constitute more than 85\ meters of axonal length and are available in a searchable online database. Axonal shapes revealed previously unknown subtypes of\ projection\ neurons\ and suggest organizational principles of\ long-range\ connectivity.

}, issn = {00928674}, doi = {10.1016/j.cell.2019.07.042}, author = {Winnubst, Johan and Bas, Erhan and Ferreira, Tiago A. and Wu, Zhuhao and Economo, Michael N. and Edson, Patrick and Arthur, Ben J. and Bruns, Christopher and Rokicki, Konrad and Schauder, David and Olbris, Donald J. and Murphy, Sean D. and Ackerman, David G. and Arshadi, Cameron and Baldwin, Perry and Blake, Regina and Elsayed, Ahmad and Hasan, Mashtura and Ramirez, Daniel and Dos Santos, Bruno and Weldon, Monet and Zafar, Amina and Dudman, Joshua T. and Gerfen, Charles R. and Hantman, Adam W. and Korff, Wyatt and Sternson, Scott M. and Spruston, Nelson and Svoboda, Karel and Chandrashekar, Jayaram} } @article {65159, title = {A repeated molecular architecture across thalamic pathways.}, journal = {Nature Neuroscience}, volume = {22}, year = {2019}, month = {2019 Sep 16}, pages = {1925-35}, abstract = {

The thalamus is the central communication hub of the forebrain and provides the cerebral cortex with inputs from sensory organs, subcortical systems and the cortex itself. Multiple thalamic regions send convergent information to each cortical region, but the organizational logic of thalamic projections has remained elusive. Through comprehensive transcriptional analyses of retrogradely labeled thalamic neurons in adult mice, we identify three major profiles of thalamic pathways. These profiles exist along a continuum that is repeated across all major projection systems, such as those for vision, motor control and cognition. The largest component of gene expression variation in the mouse thalamus is topographically organized, with features conserved in humans. Transcriptional differences between these thalamic neuronal identities are tied to cellular features that are critical for function, such as axonal morphology and membrane properties. Molecular profiling therefore reveals covariation in the properties of thalamic pathways serving all major input modalities and output targets, thus establishing a molecular framework for understanding the thalamus.

}, issn = {1546-1726}, doi = {10.1038/s41593-019-0483-3}, author = {Phillips, James W and Schulmann, Anton and Hara, Erina and Winnubst, Johan and Liu, Chenghao and Valakh, Vera and Wang, Lihua and Shields, Brenda C and Korff, Wyatt and Chandrashekar, Jayaram and Lemire, Andrew L and Mensh, Brett and Dudman, Joshua T and Nelson, Sacha B and Hantman, Adam W} } @article {64830, title = {Single-neuron axonal reconstruction: The search for a wiring diagram of the brain.}, journal = {The Journal of Comparative Neurology}, year = {2019}, month = {2019 Mar 12}, abstract = {

Reconstruction of the axonal projection patterns of single neurons has been an important tool for understanding both the diversity of cell types in the brain and the logic of information flow between brain regions. Innovative approaches now enable the complete reconstruction of axonal projection patterns of individual neurons with vastly increased throughput. Here we review how advances in genetic, imaging, and computational techniques have been exploited for axonal reconstruction. We also discuss how new innovations could enable the integration of genetic and physiological information with axonal morphology for producing a census of cell types in the mammalian brain at scale. This article is protected by copyright. All rights reserved.

}, issn = {1096-9861}, doi = {10.1002/cne.24674}, author = {Economo, Michael N and Winnubst, Johan and Bas, Erhan and Ferreira, Tiago A and Chandrashekar, Jayaram} } @article {49061, title = {Cell type-specific variation of somatotopic precision across corticostriatal projections. }, journal = {bioRxiv}, year = {2018}, month = {2018 Feb 7}, abstract = {

The striatum shows general topographic organization and regional differences in behavioral functions. How corticostriatal topography differs across cortical areas and cell types to support these distinct functions is unclear. This study contrasted corticostriatal projections from two layer 5 cell types, intratelencephalic (IT-type) and pyramidal tract (PT-type) neurons, using viral vectors expressing fluorescent reporters in Cre-driver mice. Long-range corticostriatal projections from sensory and motor cortex are somatotopic, with a decreasing somatotopic specificity as injections move from sensory to motor and frontal areas. Somatotopic organization differs between IT-type and PT-type neurons, including injections in the same site, with IT-type neurons having higher somatotopic stereotypy than PT-type neurons. Furthermore, IT-type projections from interconnected cortical areas have stronger correlations in corticostriatal targeting than PT-type projections do. Thus, as predicted by a long-standing basal ganglia model, corticostriatal projections of interconnected cortical areas form parallel circuits in basal ganglia-thalamus-cortex loops.

}, doi = {10.1101/261446}, author = {Hooks, Bryan M and Papale, Andrew E and Paletzki, Ronald and Feroze, Muhammad and Eastwood, Brian S and Couey, Jonathan J and Winnubst, Johan and Chandrashekar, Jayaram and Gerfen, Charles R} } @article {49174, title = {Dissociable structural and functional hippocampal outputs via distinct subiculum cell classes.}, journal = {Cell}, volume = {173}, year = {2018}, month = {2018 Apr 10}, pages = {1280-92}, abstract = {

The mammalian hippocampus, comprised of serially connected subfields, participates in diverse behavioral and cognitive functions. It has been postulated that parallel circuitry embedded within hippocampal subfields may underlie such functional diversity. We sought to identify, delineate, and manipulate this putatively parallel architecture in the dorsal subiculum, the primary output subfield of the dorsal hippocampus. Population and single-cell RNA-seq revealed that the subiculum can be divided into two spatially adjacent subregions associated with prominent differences in pyramidal cell gene expression. Pyramidal cells occupying these two regions differed in their long-range inputs, local wiring, projection targets, and electrophysiological properties. Leveraging gene-expression differences across these regions, we use genetically restricted neuronal silencing to show that\ these regions differentially contribute to spatial working memory. This work provides a coherent molecular-, cellular-, circuit-, and behavioral-level demonstration that the hippocampus embeds structurally and functionally dissociable streams within its serial architecture.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2018.03.031}, author = {Cembrowski, Mark S and Phillips, Matthew G and DiLisio, Salvatore F and Shields, Brenda C and Winnubst, Johan and Chandrashekar, Jayaram and Bas, Erhan and Spruston, Nelson} } @article {49496, title = {Distinct descending motor cortex pathways and their roles in movement.}, journal = {Nature}, volume = {563}, year = {2018}, month = {2018 Nov}, pages = {79-84}, abstract = {

Activity in the motor cortex predicts movements, seconds before they are initiated. This preparatory activity has been observed across cortical layers, including in descending pyramidal tract neurons in layer 5. A key question is how preparatory activity is maintained without causing movement, and is ultimately converted to a motor command to trigger appropriate movements. Here, using single-cell transcriptional profiling and axonal reconstructions, we identify two types of pyramidal tract neuron. Both types project to several targets in the basal ganglia and brainstem. One type projects to thalamic regions that connect back to motor cortex; populations of these neurons produced early preparatory activity that persisted until the movement was initiated. The second type projects to motor centres in the medulla and mainly\ produced late preparatory activity and motor commands. These results indicate that two types of motor cortex output neurons have specialized roles in motor control.

}, issn = {1476-4687}, doi = {10.1038/s41586-018-0642-9}, author = {Economo, Michael N and Viswanathan, Sarada and Tasic, Bosiljka and Bas, Erhan and Winnubst, Johan and Menon, Vilas and Graybuck, Lucas T and Nguyen, Thuc Nghi and Smith, Kimberly A and Yao, Zizhen and Wang, Lihua and Gerfen, Charles R and Chandrashekar, Jayaram and Zeng, Hongkui and Looger, Loren L and Svoboda, Karel} } @article {49413, title = {Topographic precision in sensory and motor corticostriatal projections varies across cell type and cortical area.}, journal = {Nature Communications}, volume = {9}, year = {2018}, month = {2018 Sep 03}, pages = {3549}, abstract = {

The striatum shows general topographic organization and regional differences in behavioral functions. How corticostriatal topography differs across cortical areas and cell types to support these distinct functions is unclear. This study contrasted corticostriatal projections from two layer 5 cell types, intratelencephalic (IT-type) and pyramidal tract (PT-type) neurons, using viral vectors expressing fluorescent reporters in Cre-driver mice. Corticostriatal projections from sensory and motor cortex are somatotopic, with a decreasing topographic specificity as injection sites move from sensory to motor and frontal areas. Topographic organization differs between IT-type and PT-type neurons, including injections in the same site, with IT-type neurons having higher topographic stereotypy than PT-type neurons. Furthermore, IT-type projections from interconnected cortical areas have stronger correlations in corticostriatal targeting than PT-type projections do. As predicted by a longstanding model, corticostriatal projections of interconnected cortical areas form parallel circuits in the basal ganglia.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05780-7}, author = {Hooks, Bryan M and Papale, Andrew E and Paletzki, Ronald F and Feroze, Muhammad W and Eastwood, Brian S and Couey, Jonathan J and Winnubst, Johan and Chandrashekar, Jayaram and Gerfen, Charles R} }