Local connectivity and synaptic dynamics in mouse and human neocortex

• Published in: Science (American Association for the Advancement of Science) Vol. 375; no. 6585; p. eabj5861
• Main Authors: Campagnola, Luke, Seeman, Stephanie C, Chartrand, Thomas, Kim, Lisa, Hoggarth, Alex, Gamlin, Clare, Ito, Shinya, Trinh, Jessica, Davoudian, Pasha, Radaelli, Cristina, Kim, Mean-Hwan, Hage, Travis, Braun, Thomas, Alfiler, Lauren, Andrade, Julia, Bohn, Phillip, Dalley, Rachel, Henry, Alex, Kebede, Sara, Alice, Mukora, Sandman, David, Williams, Grace, Larsen, Rachael, Teeter, Corinne, Daigle, Tanya L, Berry, Kyla, Dotson, Nadia, Enstrom, Rachel, Gorham, Melissa, Hupp, Madie, Dingman Lee, Samuel, Ngo, Kiet, Nicovich, Philip R, Potekhina, Lydia, Ransford, Shea, Gary, Amanda, Goldy, Jeff, McMillen, Delissa, Pham, Trangthanh, Tieu, Michael, Siverts, La'Akea, Walker, Miranda, Farrell, Colin, Schroedter, Martin, Slaughterbeck, Cliff, Cobb, Charles, Ellenbogen, Richard, Gwinn, Ryder P, Keene, C Dirk, Ko, Andrew L, Ojemann, Jeffrey G, Silbergeld, Daniel L, Carey, Daniel, Casper, Tamara, Crichton, Kirsten, Clark, Michael, Dee, Nick, Ellingwood, Lauren, Gloe, Jessica, Kroll, Matthew, Sulc, Josef, Tung, Herman, Wadhwani, Katherine, Brouner, Krissy, Egdorf, Tom, Maxwell, Michelle, McGraw, Medea, Pom, Christina Alice, Ruiz, Augustin, Bomben, Jasmine, Feng, David, Hejazinia, Nika, Shi, Shu, Szafer, Aaron, Wakeman, Wayne, Phillips, John, Bernard, Amy, Esposito, Luke, D'Orazi, Florence D, Sunkin, Susan, Smith, Kimberly, Tasic, Bosiljka, Arkhipov, Anton, Sorensen, Staci, Lein, Ed, Koch, Christof, Murphy, Gabe, Zeng, Hongkui, Jarsky, Tim
• Format: Journal Article
• Language: English
• Published: United States The American Association for the Advancement of Science 11-03-2022
• Subjects: Adult; Animal tissues; Animals; Brain; Cerebral cortex; Circuits; Cognition; Cognitive ability; Computational neuroscience; Computer architecture; Cytology; Data analysis; Datasets; Datasets as Topic; Dynamics; Electrophysiology; Excitatory Postsynaptic Potentials; Female; Historical account; Humans; Inhibitory Postsynaptic Potentials; Latency; Learning algorithms; Machine learning; Male; Mice; Mice, Transgenic; Microelectrodes; Models, Neurological; Neocortex; Neocortex - cytology; Neocortex - physiology; Nervous system; Network latency; Neural networks; Neural Pathways; Neurons; Neurons - physiology; Neurosciences; Quantal release; Species; Stochasticity; Substrates; Synapses; Synapses - physiology; Synaptic plasticity; Synaptic Transmission; Temporal Lobe - cytology; Temporal Lobe - physiology; Tissues; Visual Cortex - cytology; Visual Cortex - physiology
• ISSN: 0036-8075; 1095-9203
• DOI: 10.1126/science.abj5861

We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap. Synaptic properties are heterogeneous in most subclass-to-subclass connections. The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass. In the human cortex, excitatory-to-excitatory synaptic dynamics are distinct from those in the mouse cortex and vary with depth across layers 2 and 3.