Staff Profiles

Anatoly Buchin, Ph.D.

Scientist I

Anatoly Buchin joined the Allen Institute in 2017 and works in Modeling, Analysis and Theory group (MAT). He is currently working on detailed biophysical simulations of individual neurons and networks of human hippocampus. These data-driven simulations are based on combination of electrophysiological and morphological data. The goal of this work is to understand how single cell biophysical properties determine the normal and pathologic dynamics in the human brain. The particular focus of his research are the mechanisms of temporal lobe epilepsy and potential intervention using brain stimulation. Before joining Allen Institute, Anatoly was a post-doc in the lab of Adrienne Fairhall at University of Washington. His research involved analyzing the calcium imaging data of neural net of Hydra vulgaris from Rafael Yuste lab in Columbia University. His graduate research involved data analysis and development of neural network models of epileptic seizures in human temporal lobe epilepsy and modeling of Purkinje cells of cerebellum. He collaborated with Richard Miles group at Brain and Spine Institute in Paris and Michael Häusser lab at University College London. Before that Anatoly was working in Computational Physics Laboratory in Ioffe Institute in St Petersburg, Russia. Anatoly received his PhD in Computational Neuroscience from École Normale Supérieure in Paris, Mphil in Biophysics from St Petersburg Polytechnic University, Mphi in Interdisciplinary Research from Paris Descartes University and BA in Physics from St Petersburg Polytechnic University.

View personal website here.


Research Interests

Studying the biophysical mechanisms of a nervous system is a necessary step towards explaining the brain function and behavior. In my research I am focused on the mechanisms of brain dynamics on the single neuron and neural network level. I am interested how single cell properties including morphology and excitability shape the network dynamics and how alterations on the circuit level give rise to various pathologies of the nervous system.


  • Computational neuroscience
  • Single neuron biophysics
  • Neural network dynamics
  • Dynamical systems
  • Numerical simulations

Research Programs

  • MAT

Selected Publications View Publications

Multi-modal characterization and simulation of human epileptic circuitry

May 5, 2020

Buchin A, de Frates R, Nandi A, Mann R, Chong P, Ng L, Miller J, Hodge R, Kalmbach B, Bose S, Rutishauser U, McConoughey S, Lein E, Berg J, Sorensen S, Gwinn R, Koch C, Ting J, Anastassiou CA

Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons

April 2, 2020

Berg J, Sorensen SA, Ting JT, Miller JA, Chartrand T, Buchin A, Bakken TE, Budzillo A, Dee N, Ding SL, Gouwens NW, Hodge RD, Kalmbach B, Lee C, Lee BR, Alfiler L, Zeng H, Koch C, Lein ES, et al.

Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types

April 10, 2020

Nandi A, Chartrand T, Geit WV, Buchin A, Zizhen Yao, Lee SY, Wei Y, Kalmbach B, Lee B, Lein E, Berg J, Sümbül U, Koch C, Tasic B, Anastassiou CA

Adaptation and Inhibition Control Pathological Synchronization in a Model of Focal Epileptic Seizure

September 13, 2018

Buchin A, Kerr CC, Huberfeld G, Miles R, Gutkin B

h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex

November 1, 2018

Kalmbach BE, Buchin A, Long B, Close J, Nandi A, Miller JA, Bakken TE, Hodge RD, Chong P, de Frates R, Dai K, Maltzer Z, Nicovich PR, Keene CD, Silbergeld DL, Gwinn RP, Cobbs C, Ko AL, Ojemann JG, Koch C, Anastassiou CA, Lein ES, Ting JT

Inverse Stochastic Resonance in Cerebellar Purkinje Cells

PLoS Computational Biology
August 19, 2016

Buchin A, Rieubland S, Häusser M, Gutkin BS, Roth A

Reduced Efficacy of the KCC2 Cotransporter Promotes Epileptic Oscillations in a Subiculum Network Model

Journal of Neuroscience
November 16, 2016

Buchin A, Chizhov A, Huberfeld G, Miles R, Gutkin BS

Modified firing-rate model reproduces synchronization of a neuronal population receiving complex input

Optical Memory and Neural Networks
July 10, 2010

Buchin AJ, Chizhov AV

Firing-rate model of a population of adaptive neurons

July 2010

Buchin AIu, Chizhov AV