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The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions

arXiv | 2023

Gal Haspel (NJIT), Ben Baker (Colby College), Isabel Beets (KU Leuven), Edward S Boyden (MIT), Jeffrey Brown (MIT), George Church (Harvard University), Netta Cohen (University of Leeds), Daniel Colon-Ramos (Yale University), Eva Dyer (Georgia Institute of Technology), Christopher Fang-Yen (Ohio State University), Steven Flavell (MIT), Miriam B Goodman (Stanford University), Anne C Hart (Brown University), Eduardo J Izquierdo (Rose-Hulman Institute of Technology), Konstantinos Kagias (MIT), Shawn Lockery (University of Oregon), Yangning Lu (MIT), Adam Marblestone (Convergent Research), Jordan Matelsky (University of Pennsylvania), Brett Mensh (Optimize Science), Talmo D Pereira (Salk Institute), Hanspeter Pfister (Harvard University), Kanaka Rajan (Harvard Medical School), Horacio G Rotstein (NJIT), Monika Scholz (Max Planck Institute for Neurobiology of Behavior), Joshua W. Shaevitz (Princeton University), Eli Shlizerman (University of Washington), Quilee Simeon (MIT), Michael A Skuhersky (MIT), Vineet Tiruvadi (Hume AI), Vivek Venkatachalam (Northeastern University), Donglai Wei (Boston College), Brock Wester (Johns Hopkins APL), Guangyu Robert Yang (MIT), Eviatar Yemini (UMass), Manuel Zimmer (University of Vienna), Konrad P Kording (University of Pennsylvania) (2023) The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions, arXiv:2308.06578 [q-bio.NC].

3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs

IEEE Journal of Biomedical and Health Informatics | 2023

Lauenburg L, Lin Z, Zhang R, Santos MD, Huang S, Arganda-Carreras I, Boyden ES, Pfister H, Wei D (2023) 3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs, IEEE Journal of Biomedical and Health Informatics 27(8):4018-4027.

Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure

Biological Imaging | 2023

González-Solares EA, Dariush A, González-Fernández C, Küpcü Yoldaş A, Molaeinezhad A, Al Sa'd M, Smith L, Whitmarsh T, Millar N, Chornay N, Falciatori I, Fatemi A, Goodwin D, Kuett L, Mulvey CM, Páez Ribes M, Qosaj F, Roth A, Vázquez-García I, Watson SS, Windhager J, Aparicio S, Bodenmiller B, Boyden E, Caldas C, Harris O, Shah SP, Tavaré S; CRUK IMAXT Grand Challenge Team; Bressan D, Hannon GJ, Walton NA (2024) Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure, Biological Imaging 14:3:e11.

Gamma frequency sensory stimulation in mild probable Alzheimer’s dementia patients: Results of feasibility and pilot studies

PLoS One | 2022

Chan D, Suk HJ, Jackson BL, Milman NP, Stark D, Klerman EB, Kitchener E, Fernandez Avalos VS, de Weck G, Banerjee A, Beach SD, Blanchard J, Stearns C, Boes AD, Uitermarkt B, Gander P, Howard M 3rd, Sternberg EJ, Nieto-Castanon A, Anteraper S, Whitfield-Gabrieli S, Brown EN, Boyden ES, Dickerson BC, Tsai LH (2022) Gamma frequency sensory stimulation in mild probable Alzheimer's dementia patients: Results of feasibility and pilot studies, PLoS One 17(12):e0278412.

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