Anton Arkhipov, Ph.D.
Anton Arkhipov joined the Allen Institute in 2013 as an assistant investigator in the Modeling, Analysis, and Theory group. He is leading efforts to carry out biophysically detailed simulations of individual neurons as well as large-scale neuronal circuits from the mouse visual system. The main focus of his research is on integration of experimental anatomical and physiological data to build sophisticated, highly realistic computational models of cortical circuitry, with the aim of elucidating mechanisms underlying processing of visual information in the cortex. Before joining the Allen Institute he was a Postdoctoral Fellow at D. E. Shaw Research in New York City, where he used a specialized supercomputing architecture to perform computational studies of structure-function relationships in proteins, with the emphasis on cancer-associated cell-surface receptors. Arkhipov received his B.S. and M.S. in Physics from Moscow Institute of Physics and Technology and a Ph.D. in Physics from the University of Illinois at Urbana-Champaign.
Anton Arkhipov applies high-performance computing to simulate neuronal activity in the mouse visual system. Using experimentally observed neuronal morphologies, connectivity patterns, and electrophysiological properties, he constructs highly detailed, biophysically accurate models of neuronal circuits. The main aim is to build powerful models that, on the one hand, reproduce major features of in vivo experimental recordings from anesthetized and awake mice and, on the other, allow for testable predictions about mechanisms involved in processing of the visual information in the cortex.
- Computational Neuroscience
- Theoretical and Computational Biophysics
- High-performance Computing
- Modeling, Analysis & Theory
PLOS | ONE
August 2, 2018
Gratiy SL, Billeh YN, Dai K, Mitelut C, Feng D, Gouwens NW, Cain N, Koch C, Anastassiou CA, Arkhipov A
July 17, 2018
Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin S, Feng D, Anastassiou C, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, Caldejon S, Casper T, Castelli D, Chong P, Crichton K, Cuhaciyan C, Daigle T, Dalley R, Dee N, Desta T, Dingman S, Doperalski A, Dotson N, Egdorf T, Fisher M, de Frates RA, Garren E, Garwood M, Gary A, Gaudreault N, Godfrey K, Gorham M, Gu H, Habel C, Hadley K, Harrington J, Harris J, Henry A, Hill D, Josephsen S, Kebede S, Kim L, Kroll M, Lee B, Lemon T, Liu X, Long B, Mann R, McGraw M, Mihalas S, Mukora A, Murphy GJ, Ng L, Ngo K, Nguyen TN, Nicovich PR, Oldre A, Park D, Parry S, Perkins J, Potekhina L, Reid D, Robertson M, Sandman D, Schroedter M, Slaughterbeck C, Soler-Llavina C, Sulc J, Szafer A, Tasic B, Taskin N, Teeter C, Thatra N, Tung H, Wakeman W, Williams G, Young R, Zhou Z, Farrell C, Peng H, Hawrylycz MJ, Lein E, Ng L, Arkhipov A, Bernard A, Phillips J, Zeng H, Koch C
February 19, 2018
Gouwens NW, Berg J, Feng D, Sorensen SA, Zeng H, Hawrylycz MJ, Koch C, and Arkhipov A
PLoS Computational Biology
November 12, 2018
Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-LLavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C
July 5, 2016
Hawrylycz M, Anastassiou C, Arkhipov A, Berg J, Buice M, et al.
Endres NF, Das R, Smith AW, Arkhipov A, Kovacs E, et al
Arkhipov A, Shan Y, Das R, Endres NF, Eastwood MP, et al
Shan Y, Eastwood MP, Zhang X, Kim ET, Arkhipov A, et al