@article {69783, title = {Cortical control of innate behavior from subcortical demonstration}, journal = {bioRxiv}, year = {2025}, month = {2025 Feb 13}, abstract = {

Motor control in mammals is traditionally viewed as a hierarchy of descending spinal-targeting pathways, with frontal cortex at the top 1{\textendash}3. Many redundant muscle patterns can solve a given task, and this high dimensionality allows flexibility but poses a problem for efficient learning 4. Although a feasible solution invokes subcortical innate motor patterns, or primitives, to reduce the dimensionality of the control problem, how cortex learns to utilize such primitives remains an open question 5{\textendash}7. To address this, we studied cortical and subcortical interactions as head-fixed mice learned contextual control of innate hindlimb extension behavior. Na{\"\i}ve mice performed reactive extensions to turn off a cold air stimulus within seconds and, using predictive cues, learned to avoid the stimulus altogether in tens of trials. Optogenetic inhibition of large areas of rostral cortex completely prevented avoidance behavior, but did not impair hindlimb extensions in reaction to the cold air stimulus. Remarkably, mice covertly learned to avoid the cold stimulus even without any prior experience of successful, cortically-mediated avoidance. These findings support a dynamic, heterarchical model in which the dominant locus of control can change, on the order of seconds, between cortical and subcortical brain areas. We propose that cortex can leverage periods when subcortex predominates as demonstrations, to learn parameterized control of innate behavioral primitives.

}, doi = {10.1101/2025.02.12.637930}, url = {https://www.biorxiv.org/content/early/2025/02/13/2025.02.12.637930}, author = {Keller, Jason A. and Kwak, Iljung S. and Stark, Alyssa K. and Pachitariu, Marius and Branson, Kristin and Dudman, Joshua T.} } @article {69710, title = {Discovery of neuronal cell types by pairing whole cell reconstructions with RNA expression profiles}, journal = {bioRxiv}, year = {2024}, month = {12/2024}, abstract = {

Effective classification of neuronal cell types requires both molecular and morphological descriptors to be collected in situ at single cell resolution. However, current spatial transcriptomics techniques are not compatible with imaging workflows that successfully reconstruct the morphology of complete axonal projections. Here, we introduce a new methodology that combines tissue clearing, submicron whole-brain two photon imaging, and Expansion-Assisted Iterative Fluorescence In Situ Hybridization (EASI-FISH) to assign molecular identities to fully reconstructed neurons in the mouse brain, which we call morphoFISH. We used morphoFISH to molecularly identify a previously unknown population of cingulate neurons projecting ipsilaterally to the dorsal striatum and contralaterally to higher-order thalamus. By pairing whole-brain morphometry, improved techniques for nucleic acid preservation and spatial gene expression, morphoFISH offers a quantitative solution for discovery of multimodal cell types and complements existing techniques for characterization of increasingly fine-grained cellular heterogeneity in brain circuits.Competing Interest StatementThe authors have declared no competing interest.

}, doi = {10.1101/2024.12.30.630829}, url = {https://www.biorxiv.org/content/early/2024/12/31/2024.12.30.630829}, author = {The MouseLight Project Team and Ferreira, Tiago A. and Eddison, Mark and Copeland, Monique and Lay, Mary and Tenshaw, Emily and Weldon, Monet and Schauder, David and Olbris, Donald J. and Rokicki, Konrad and Spruston, Nelson and Tillberg, Paul W. and Korff, Wyatt and Dudman, Joshua T.} } @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} }