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Conneconomics: The Economics of Large-Scale Neural Connectomics
Adam H. Marblestone, Evan R. Daugharthy, Reza Kalhor, Ian Peikon, Justus Kebschull, Seth L. Shipman, Yuriy Mishchenko, David A. Dalrymple, Bradley M. Zamft, Konrad P. Kording, Edward S. Boyden, Anthony M. Zador, George M. Church
doi: https://doi.org/10.1101/001214
Adam H. Marblestone
1Biophysics Program, Harvard Univ., Boston, MA, USA
2Wyss Institute for Biologically Inspired Engineering at Harvard Univ., Boston, MA, USA
Evan R. Daugharthy
2Wyss Institute for Biologically Inspired Engineering at Harvard Univ., Boston, MA, USA
3Dept. of Genetics, Harvard Medical School, Boston, MA, USA
4Dept. of Systems Biology, Harvard Medical School, Boston, MA, USA
Reza Kalhor
2Wyss Institute for Biologically Inspired Engineering at Harvard Univ., Boston, MA, USA
3Dept. of Genetics, Harvard Medical School, Boston, MA, USA
Ian Peikon
9Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
10Watson School of Biological Sciences, Cold Spring Harbor, NY, USA
Justus Kebschull
9Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
10Watson School of Biological Sciences, Cold Spring Harbor, NY, USA
Seth L. Shipman
2Wyss Institute for Biologically Inspired Engineering at Harvard Univ., Boston, MA, USA
3Dept. of Genetics, Harvard Medical School, Boston, MA, USA
Yuriy Mishchenko
5Dept. of Engineering, Toros University, Mersin, Turkey
David A. Dalrymple
11Nemaload, San Francisco, CA, USA
Bradley M. Zamft
3Dept. of Genetics, Harvard Medical School, Boston, MA, USA
Konrad P. Kording
6Depts. of Physical Medicine and Rehabilitation and of Physiology, Northwestern Univ. Feinberg School of Medicine, Chicago, IL, USA
7Sensory Motor Performance Program, The Rehabilitation Institute of Chicago, Chicago, IL, USA
Edward S. Boyden
8Depts. of Brain and Cognitive Sciences and of Biological Engineering, MIT, Cambridge, MA, USA
Anthony M. Zador
9Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
George M. Church
1Biophysics Program, Harvard Univ., Boston, MA, USA
2Wyss Institute for Biologically Inspired Engineering at Harvard Univ., Boston, MA, USA
3Dept. of Genetics, Harvard Medical School, Boston, MA, USA
Abstract
We analyze the scaling and cost-performance characteristics of current and projected connectomics approaches, with reference to the potential implications of recent advances in diverse contributing fields. This analysis suggests potential cost-effective strategies for dense connectivity mapping at the scale of whole mammalian brains.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND Unported 3.0 license.
Posted December 10, 2013.
Conneconomics: The Economics of Large-Scale Neural Connectomics
Adam H. Marblestone, Evan R. Daugharthy, Reza Kalhor, Ian Peikon, Justus Kebschull, Seth L. Shipman, Yuriy Mishchenko, David A. Dalrymple, Bradley M. Zamft, Konrad P. Kording, Edward S. Boyden, Anthony M. Zador, George M. Church
bioRxiv 001214; doi: https://doi.org/10.1101/001214
Conneconomics: The Economics of Large-Scale Neural Connectomics
Adam H. Marblestone, Evan R. Daugharthy, Reza Kalhor, Ian Peikon, Justus Kebschull, Seth L. Shipman, Yuriy Mishchenko, David A. Dalrymple, Bradley M. Zamft, Konrad P. Kording, Edward S. Boyden, Anthony M. Zador, George M. Church
bioRxiv 001214; doi: https://doi.org/10.1101/001214
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