Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity

Nicholas L. Turner; Thomas Macrina; J. Alexander Bae; Runzhe Yang; Alyssa M. Wilson; Casey Schneider-Mizell; Kisuk Lee; Ran Lu; Jingpeng Wu; Agnes L. Bodor; Adam A. Bleckert; Derrick Brittain; Emmanouil Froudarakis; Sven Dorkenwald; Forrest Collman; Nico Kemnitz; Dodam Ih; William M. Silversmith; Jonathan Zung; Aleksandar Zlateski; Ignacio Tartavull; Szi chieh Yu; Sergiy Popovych; Shang Mu; William Wong; Chris S. Jordan; Manuel Castro; Jo Ann Buchanan; Daniel J. Bumbarger; Marc Takeno; Russel Torres; Gayathri Mahalingam; Leila Elabbady; Yang Li; Erick Cobos; Pengcheng Zhou; Shelby Suckow; Lynne Becker; Liam Paninski; Franck Polleux; Jacob Reimer; Andreas S. Tolias; R. Clay Reid; Nuno Maçarico da Costa; H. Sebastian Seung

doi:10.1016/j.cell.2022.01.023

Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity

Nicholas L. Turner, Thomas Macrina, J. Alexander Bae, Runzhe Yang, Alyssa M. Wilson, Casey Schneider-Mizell, Kisuk Lee, Ran Lu, Jingpeng Wu, Agnes L. Bodor, Adam A. Bleckert, Derrick Brittain, Emmanouil Froudarakis, Sven Dorkenwald, Forrest Collman, Nico Kemnitz, Dodam Ih, William M. Silversmith, Jonathan Zung, Aleksandar ZlateskiIgnacio Tartavull, Szi chieh Yu, Sergiy Popovych, Shang Mu, William Wong, Chris S. Jordan, Manuel Castro, Jo Ann Buchanan, Daniel J. Bumbarger, Marc Takeno, Russel Torres, Gayathri Mahalingam, Leila Elabbady, Yang Li, Erick Cobos, Pengcheng Zhou, Shelby Suckow, Lynne Becker, Liam Paninski, Franck Polleux, Jacob Reimer, Andreas S. Tolias, R. Clay Reid, Nuno Maçarico da Costa, H. Sebastian Seung

Computer Science

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm³ of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.

Original language	English (US)
Pages (from-to)	1082-1100.e24
Journal	Cell
Volume	185
Issue number	6
DOIs	https://doi.org/10.1016/j.cell.2022.01.023
State	Published - Mar 17 2022

All Science Journal Classification (ASJC) codes

Biochemistry, Genetics and Molecular Biology(all)

Keywords

mouse, cortex, 3D reconstruction, electron microscopy, calcium imaging, pyramidal cell, mitochondria, synaptic connectivity, inhibitory cell, visual cortex

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10.1016/j.cell.2022.01.023

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Turner, N. L., Macrina, T., Bae, J. A., Yang, R., Wilson, A. M., Schneider-Mizell, C., Lee, K., Lu, R., Wu, J., Bodor, A. L., Bleckert, A. A., Brittain, D., Froudarakis, E., Dorkenwald, S., Collman, F., Kemnitz, N., Ih, D., Silversmith, W. M., Zung, J., ... Seung, H. S. (2022). Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity. Cell, 185(6), 1082-1100.e24. https://doi.org/10.1016/j.cell.2022.01.023

@article{7e0a0a065a4647fa8620cfa1c65a6e93,

title = "Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity",

abstract = "We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.",

keywords = "mouse, cortex, 3D reconstruction, electron microscopy, calcium imaging, pyramidal cell, mitochondria, synaptic connectivity, inhibitory cell, visual cortex",

author = "Turner, {Nicholas L.} and Thomas Macrina and Bae, {J. Alexander} and Runzhe Yang and Wilson, {Alyssa M.} and Casey Schneider-Mizell and Kisuk Lee and Ran Lu and Jingpeng Wu and Bodor, {Agnes L.} and Bleckert, {Adam A.} and Derrick Brittain and Emmanouil Froudarakis and Sven Dorkenwald and Forrest Collman and Nico Kemnitz and Dodam Ih and Silversmith, {William M.} and Jonathan Zung and Aleksandar Zlateski and Ignacio Tartavull and Yu, {Szi chieh} and Sergiy Popovych and Shang Mu and William Wong and Jordan, {Chris S.} and Manuel Castro and Buchanan, {Jo Ann} and Bumbarger, {Daniel J.} and Marc Takeno and Russel Torres and Gayathri Mahalingam and Leila Elabbady and Yang Li and Erick Cobos and Pengcheng Zhou and Shelby Suckow and Lynne Becker and Liam Paninski and Franck Polleux and Jacob Reimer and Tolias, {Andreas S.} and Reid, {R. Clay} and {da Costa}, {Nuno Ma{\c c}arico} and Seung, {H. Sebastian}",

note = "Funding Information: Research was supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/Interior Business Center (DoI/IBC) contract numbers D16PC00003 , D16PC00004 , and D16PC0005 . The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. H.S.S. acknowledges support from NIH/NINDS U19 NS104648 , NIH/NEI R01 EY027036 , NIH/NIMH U01 MH114824 , NIH/NINDS R01NS104926 , NIH/NIMH RF1MH117815 , NIH/NIMH RF1MH123400 , and the Mathers Foundation , as well as assistance from Google, Amazon, and Intel. F.P. acknowledges support from NIH/NINDS R01 NS107483 . We thank S. Koolman, M. Moore, S. Morejohn, B. Silverman, K. Willie, and R. Willie for their image analyses; G. McGrath for computer system administration; and M. Husseini and L. and J. Jackel for project administration. We are grateful to J. Maitin-Shepard for making Neuroglancer freely available. We thank R. Yuste, M. Hausser, I. Segev, M. Tsodyks, D. Chklovskii, D. Tank, C. Brody, V. Hewitt, A. Wanner, and S. Papadopoulos for helpful discussions and feedback; A. Foryciarz for preliminary mitochondria analysis; and Z. Ashwood for preliminary nucleus detection data and experiments. We thank the Allen Institute for Brain Science founder, Paul G. Allen, for his vision, encouragement, and support. Disclaimer: the views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. Funding Information: Research was supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/Interior Business Center (DoI/IBC) contract numbers D16PC00003, D16PC00004, and D16PC0005. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. H.S.S. acknowledges support from NIH/NINDS U19 NS104648, NIH/NEI R01 EY027036, NIH/NIMH U01 MH114824, NIH/NINDS R01NS104926, NIH/NIMH RF1MH117815, NIH/NIMH RF1MH123400, and the Mathers Foundation, as well as assistance from Google, Amazon, and Intel. F.P. acknowledges support from NIH/NINDS R01 NS107483. We thank S. Koolman, M. Moore, S. Morejohn, B. Silverman, K. Willie, and R. Willie for their image analyses; G. McGrath for computer system administration; and M. Husseini and L. and J. Jackel for project administration. We are grateful to J. Maitin-Shepard for making Neuroglancer freely available. We thank R. Yuste, M. Hausser, I. Segev, M. Tsodyks, D. Chklovskii, D. Tank, C. Brody, V. Hewitt, A. Wanner, and S. Papadopoulos for helpful discussions and feedback; A. Foryciarz for preliminary mitochondria analysis; and Z. Ashwood for preliminary nucleus detection data and experiments. We thank the Allen Institute for Brain Science founder, Paul G. Allen, for his vision, encouragement, and support. Disclaimer: the views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. E.C. built the calcium imaging pipeline, and E.F. J.R. and A.S.T. performed and oversaw surgery and calcium imaging. A.L.B. A.A.B. D.B. D.J.B. J.B. and N.M.d.C. generated the EM dataset after sample preparation by J.B. M.T. and N.M.d.C. R.T. G.M. and Y.L. stitched and rough aligned block one of the EM images. D.I. and T.M. stitched and rough, coarse, and fine aligned block two of the images. T.M. coarse and fine aligned all sections. W.W. built the task manager for distributed alignment. W.M.S. wrote the software for reading and writing cloud data, initially with I.T. T.M. supervised ground truth annotations. S.P. implemented a framework for 3D convolutional net CPU inference with help from A.Z. The net for boundary detection was trained by K.L. with help from J.Z. applied by J.W. and segmented by R.L. with help from A.Z. The nets for synapses and mitochondria were trained by N.L.T. applied by J.W. and segmented by N.L.T. The net for synaptic partner assignment was trained and applied by N.L.T. S.M. trained and applied the net for nucleus detection with ground truth partly generated by L.E. and F.C. S.D. N.K. and J.Z. created the proofreading system. S.-c.Y. T.M. S.D. and A.M.W. supervised proofreading and annotation. F.C. A.L.B. N.M.d.C. S.-c.Y. S.D. A.M.W. and C.S.-M. contributed proofreading and annotations. A.M.W. manually verified nucleus detections in the volume and performed cell typing with J.B. N.M.d.C. and A.L.B. N.K. and M.C. built the front end for proofreading and annotations and generated neuron meshes with W.M.S. C.S.J. built the early data-sharing system. S.D. F.C. and C.S.-M. created the connectome versioning system. F.C. W.M.S. and C.S.-M. skeletonized cells with help from J.A.B. N.L.T. and J.W. N.K. and A.M.W. rendered example cells. A.M.W. N.L.T. and J.A.B. compiled resource statistics. C.S.-M. analyzed synapses onto inhibitory cells with input from F.C. L.E. and N.M.d.C. N.L.T. analyzed mitochondria with help from A.M.W. F.P. C.S.-M. F.C. and R.Y. T.M. and R.Y. analyzed motifs in the PyC graph with input from N.L.T. J.A.B. co-registered calcium and EM images using correspondences annotated by N.M.d.C. A.A.B. and J.R. J.A.B. extracted activity traces using the approach of P.Z. and L.P. and related them to in-degree with input from J.R. A.S.T. F.C. and N.M.d.C. F.C. created the microns-explorer website with contributions from C.S.-M. and N.M.d.C. H.S.S. N.L.T. A.M.W. J.A.B. C.S.-M. and R.Y. wrote the paper with contributions from F.C. N.K. M.T. N.M.d.C. F.P. and L.P. S.S. and L.B. managed the project at the Allen Institute. T.M. managed the reconstruction team. N.L.T. and H.S.S. managed the analysis and writing. H.S.S. R.C.R. N.M.d.C. J.R. and A.S.T. managed the multi-institution collaboration. T.M. and H.S.S. disclose financial interests in Zetta Ai LLC. J.R. and A.S.T. disclose financial interests in Vathes LLC. One or more of the authors of this paper self-identifies as living with a disability. Publisher Copyright: {\textcopyright} 2022 Elsevier Inc.",

year = "2022",

month = mar,

day = "17",

doi = "10.1016/j.cell.2022.01.023",

language = "English (US)",

volume = "185",

pages = "1082--1100.e24",

journal = "Cell",

issn = "0092-8674",

publisher = "Cell Press",

number = "6",

}

Turner, NL, Macrina, T, Bae, JA, Yang, R, Wilson, AM, Schneider-Mizell, C, Lee, K, Lu, R, Wu, J, Bodor, AL, Bleckert, AA, Brittain, D, Froudarakis, E, Dorkenwald, S, Collman, F, Kemnitz, N, Ih, D, Silversmith, WM, Zung, J, Zlateski, A, Tartavull, I, Yu, SC, Popovych, S, Mu, S, Wong, W, Jordan, CS, Castro, M, Buchanan, JA, Bumbarger, DJ, Takeno, M, Torres, R, Mahalingam, G, Elabbady, L, Li, Y, Cobos, E, Zhou, P, Suckow, S, Becker, L, Paninski, L, Polleux, F, Reimer, J, Tolias, AS, Reid, RC, da Costa, NM & Seung, HS 2022, 'Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity', Cell, vol. 185, no. 6, pp. 1082-1100.e24. https://doi.org/10.1016/j.cell.2022.01.023

TY - JOUR

T1 - Reconstruction of neocortex

T2 - Organelles, compartments, cells, circuits, and activity

AU - Turner, Nicholas L.

AU - Macrina, Thomas

AU - Bae, J. Alexander

AU - Yang, Runzhe

AU - Wilson, Alyssa M.

AU - Schneider-Mizell, Casey

AU - Lee, Kisuk

AU - Lu, Ran

AU - Wu, Jingpeng

AU - Bodor, Agnes L.

AU - Bleckert, Adam A.

AU - Brittain, Derrick

AU - Froudarakis, Emmanouil

AU - Dorkenwald, Sven

AU - Collman, Forrest

AU - Kemnitz, Nico

AU - Ih, Dodam

AU - Silversmith, William M.

AU - Zung, Jonathan

AU - Zlateski, Aleksandar

AU - Tartavull, Ignacio

AU - Yu, Szi chieh

AU - Popovych, Sergiy

AU - Mu, Shang

AU - Wong, William

AU - Jordan, Chris S.

AU - Castro, Manuel

AU - Buchanan, Jo Ann

AU - Bumbarger, Daniel J.

AU - Takeno, Marc

AU - Torres, Russel

AU - Mahalingam, Gayathri

AU - Elabbady, Leila

AU - Li, Yang

AU - Cobos, Erick

AU - Zhou, Pengcheng

AU - Suckow, Shelby

AU - Becker, Lynne

AU - Paninski, Liam

AU - Polleux, Franck

AU - Reimer, Jacob

AU - Tolias, Andreas S.

AU - Reid, R. Clay

AU - da Costa, Nuno Maçarico

AU - Seung, H. Sebastian

N1 - Funding Information: Research was supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/Interior Business Center (DoI/IBC) contract numbers D16PC00003 , D16PC00004 , and D16PC0005 . The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. H.S.S. acknowledges support from NIH/NINDS U19 NS104648 , NIH/NEI R01 EY027036 , NIH/NIMH U01 MH114824 , NIH/NINDS R01NS104926 , NIH/NIMH RF1MH117815 , NIH/NIMH RF1MH123400 , and the Mathers Foundation , as well as assistance from Google, Amazon, and Intel. F.P. acknowledges support from NIH/NINDS R01 NS107483 . We thank S. Koolman, M. Moore, S. Morejohn, B. Silverman, K. Willie, and R. Willie for their image analyses; G. McGrath for computer system administration; and M. Husseini and L. and J. Jackel for project administration. We are grateful to J. Maitin-Shepard for making Neuroglancer freely available. We thank R. Yuste, M. Hausser, I. Segev, M. Tsodyks, D. Chklovskii, D. Tank, C. Brody, V. Hewitt, A. Wanner, and S. Papadopoulos for helpful discussions and feedback; A. Foryciarz for preliminary mitochondria analysis; and Z. Ashwood for preliminary nucleus detection data and experiments. We thank the Allen Institute for Brain Science founder, Paul G. Allen, for his vision, encouragement, and support. Disclaimer: the views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. Funding Information: Research was supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/Interior Business Center (DoI/IBC) contract numbers D16PC00003, D16PC00004, and D16PC0005. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation thereon. H.S.S. acknowledges support from NIH/NINDS U19 NS104648, NIH/NEI R01 EY027036, NIH/NIMH U01 MH114824, NIH/NINDS R01NS104926, NIH/NIMH RF1MH117815, NIH/NIMH RF1MH123400, and the Mathers Foundation, as well as assistance from Google, Amazon, and Intel. F.P. acknowledges support from NIH/NINDS R01 NS107483. We thank S. Koolman, M. Moore, S. Morejohn, B. Silverman, K. Willie, and R. Willie for their image analyses; G. McGrath for computer system administration; and M. Husseini and L. and J. Jackel for project administration. We are grateful to J. Maitin-Shepard for making Neuroglancer freely available. We thank R. Yuste, M. Hausser, I. Segev, M. Tsodyks, D. Chklovskii, D. Tank, C. Brody, V. Hewitt, A. Wanner, and S. Papadopoulos for helpful discussions and feedback; A. Foryciarz for preliminary mitochondria analysis; and Z. Ashwood for preliminary nucleus detection data and experiments. We thank the Allen Institute for Brain Science founder, Paul G. Allen, for his vision, encouragement, and support. Disclaimer: the views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. E.C. built the calcium imaging pipeline, and E.F. J.R. and A.S.T. performed and oversaw surgery and calcium imaging. A.L.B. A.A.B. D.B. D.J.B. J.B. and N.M.d.C. generated the EM dataset after sample preparation by J.B. M.T. and N.M.d.C. R.T. G.M. and Y.L. stitched and rough aligned block one of the EM images. D.I. and T.M. stitched and rough, coarse, and fine aligned block two of the images. T.M. coarse and fine aligned all sections. W.W. built the task manager for distributed alignment. W.M.S. wrote the software for reading and writing cloud data, initially with I.T. T.M. supervised ground truth annotations. S.P. implemented a framework for 3D convolutional net CPU inference with help from A.Z. The net for boundary detection was trained by K.L. with help from J.Z. applied by J.W. and segmented by R.L. with help from A.Z. The nets for synapses and mitochondria were trained by N.L.T. applied by J.W. and segmented by N.L.T. The net for synaptic partner assignment was trained and applied by N.L.T. S.M. trained and applied the net for nucleus detection with ground truth partly generated by L.E. and F.C. S.D. N.K. and J.Z. created the proofreading system. S.-c.Y. T.M. S.D. and A.M.W. supervised proofreading and annotation. F.C. A.L.B. N.M.d.C. S.-c.Y. S.D. A.M.W. and C.S.-M. contributed proofreading and annotations. A.M.W. manually verified nucleus detections in the volume and performed cell typing with J.B. N.M.d.C. and A.L.B. N.K. and M.C. built the front end for proofreading and annotations and generated neuron meshes with W.M.S. C.S.J. built the early data-sharing system. S.D. F.C. and C.S.-M. created the connectome versioning system. F.C. W.M.S. and C.S.-M. skeletonized cells with help from J.A.B. N.L.T. and J.W. N.K. and A.M.W. rendered example cells. A.M.W. N.L.T. and J.A.B. compiled resource statistics. C.S.-M. analyzed synapses onto inhibitory cells with input from F.C. L.E. and N.M.d.C. N.L.T. analyzed mitochondria with help from A.M.W. F.P. C.S.-M. F.C. and R.Y. T.M. and R.Y. analyzed motifs in the PyC graph with input from N.L.T. J.A.B. co-registered calcium and EM images using correspondences annotated by N.M.d.C. A.A.B. and J.R. J.A.B. extracted activity traces using the approach of P.Z. and L.P. and related them to in-degree with input from J.R. A.S.T. F.C. and N.M.d.C. F.C. created the microns-explorer website with contributions from C.S.-M. and N.M.d.C. H.S.S. N.L.T. A.M.W. J.A.B. C.S.-M. and R.Y. wrote the paper with contributions from F.C. N.K. M.T. N.M.d.C. F.P. and L.P. S.S. and L.B. managed the project at the Allen Institute. T.M. managed the reconstruction team. N.L.T. and H.S.S. managed the analysis and writing. H.S.S. R.C.R. N.M.d.C. J.R. and A.S.T. managed the multi-institution collaboration. T.M. and H.S.S. disclose financial interests in Zetta Ai LLC. J.R. and A.S.T. disclose financial interests in Vathes LLC. One or more of the authors of this paper self-identifies as living with a disability. Publisher Copyright: © 2022 Elsevier Inc.

PY - 2022/3/17

Y1 - 2022/3/17

N2 - We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.

AB - We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ∼250 × 140 × 90 μm3 of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.

KW - mouse, cortex, 3D reconstruction, electron microscopy, calcium imaging, pyramidal cell, mitochondria, synaptic connectivity, inhibitory cell, visual cortex

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UR - http://www.scopus.com/inward/citedby.url?scp=85126290259&partnerID=8YFLogxK

U2 - 10.1016/j.cell.2022.01.023

DO - 10.1016/j.cell.2022.01.023

M3 - Article

C2 - 35216674

AN - SCOPUS:85126290259

SN - 0092-8674

VL - 185

SP - 1082-1100.e24

JO - Cell

JF - Cell

IS - 6

ER -

Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity

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