Sergey Gratiy, Ph.D.
Software Engineer II
Sergey develops and supports the analysis pipeline and the corresponding software for computing cell features from electrophysiology data. He joined the Allen Institute in 2014 developing theoretical and computational techniques for investigating the biophysical origins of extracellular potential. As a part of this research direction, he contributed to the development of the software tools (e.g, Brain Modeling Toolkit) that facilitate modeling large-scale networks of biophysically/morphologically realistic neurons and that enable the simulation of extracellular potential recordings. Prior to joining the Allen Institute, he conducted postdoctoral research at the University of California, San Diego where he developed models for inferring population-level synaptic currents from Local Field Potential recordings. Sergey earned his PhD in Aerospace Engineering from the Pennsylvania State University, a MS in Physics from the University of Louisville and a BS in Physics from Perm State University, Russia.
Selected Publications View on PUBMED
The SONATA data format for efficient description of large-scale network models
PLoS Computational Biology
February 24, 2020
Dai K, Hernando J, Billeh YN, Gratiy SL, Planas J, Davison AP, Dura-Bernal S, Gleeson P, Devresse A, Dichter BK, Gevaert M, King JG, Van Geit WAH, Povolotsky AV, Muller E, Courcol JD, Arkhipov A
BioNet: A Python interface to NEURON for modeling large-scale networks
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
Visual physiology of the Layer 4 cortical circuit in silico
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
From Maxwell's equations to the theory of current-source density analysis
European Journal of Neuroscience
February 8, 2017
Gratiy SL, Halnes G, Denman D, Hawrylycz MJ, Koch C, Einevoll GT, Anastassiou CA
Fully integrated silicon probes for high-density recording of neural activity
Nature
November 8, 2017
Jun JJ, Steinmetz NA, Siegle JH, Denman DJ, Bauza M, Barbarits B, Lee AK, Anastassiou CA, Andrei A, Aydın Ç, Barbic M, Blanche TJ, Bonin V, Couto J, Dutta B, Gratiy SL, Gutnisky DA, Häusser M, Karsh B, Ledochowitsch P, Lopez CM, Mitelut C, Musa S, Okun M, Pachitariu M, Putzeys J, Rich PD, Rossant C, Sun WL, Svoboda K, Carandini M, Harris KD, Koch C5 O'Keefe J, Harris TD
Journal of Neuroscience
May 8, 2013
Nizar K, Uhlirova H, Tian P, Saisan PA, Cheng Q, Reznichenko L, Weldy KL, Steed TC, Sridhar VB, MacDonald CL, Cui J, Gratiy SL, Sakadzić S, Boas DA, Beka TI, Einevoll GT, Chen J, Masliah E, Dale AM, Silva GA, Devor A
Journal of Neurophysiology
March 15, 2013
Gratiy SL, Pettersen KH, Einevoll GT, Dale AM
On the estimation of population-specific synaptic currents from laminar multielectrode recordings
Frontiers in Neuroinformatics
December 20, 2011
Gratiy SL, Devor A, Einevoll GT, Dale AM