Team

Staff Profiles

Gabe Murphy, Ph.D.

Associate Director, Electrophysiology

Gabe Murphy joined the Allen Institute for Brain Science in the fall of 2015; he and his team examine characteristics of individual neurons as well as the synaptic connections through which neurons communicate with one another.

Gabe’s previous research experience includes stints as a group leader at the Howard Hughes Medical Institute’s Janelia Research Campus, a postdoctoral fellow in Fred Rieke’s lab at the University of Washington, and a graduate student in Jeff Isaacson’s lab at the University of California, San Diego. He received his B.A. in neuroscience from Pomona College.      

Research

Research Interests

The mammalian visual system readily distinguishes subtle differences in the characteristics of visual cues; our goal is to understand how the encoding of visual information is facilitated and constrained by physiological properties of neurons and neural circuits. We, therefore, characterize neurons’ intrinsic biophysical characteristics, the probability and specificity with which they are connected to one another, and the strength and dynamics of signaling between synaptically-coupled neurons. This insight, and assaying the effects of manipulating signals within and/or between neurons, enables us to both form and test hypotheses about how the structure of the nervous system gives rise to its function.

Expertise

  • Cellular and synaptic physiology
  • Local and long-range circuitry
  • Sensory processing

Research Programs

  • Connectivity
  • Local Circuits
  • Cell and Circuit Genetics

Selected Publications

Classification of electrophysiological and morphological neuron types in mouse visual cortex

Nature Neuroscience
June 17, 2019

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

Higher-order thalamic circuits channel parallel streams of visual information in mice

Neuron
February 27, 2019

Bennett C, Gale SD, Garrett ME, Newton ML, Callaway EM, Murphy GJ, Olsen SR

Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex

eLife
September 26, 2018

Seeman SC, Campagnola L, Davoudian PA, Hoggarth A, Hage TA, Bosma-Moody A, Baker CA, Lee, JH, Mihalas S, Teeter C, Ko AL, Ojemann JG, Gwinn RP, Silbergeld DL, Cobbs C, Phillips J, Lein E, Murphy G, Koch C, Zeng H, Jarsky T

A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality

Cell
July 12, 2018

Daigle TL, Madisen L, Hage TA, Valley MT, Knoblich U, Larsen RS, Takeno MM, Huang L, Gu H, Larsen R, Mills M, Bosma-Moody A, Siverts LA, Walker M, Graybuck LT, Yao Z, Fong O, Nguyen TN, Garren E, Lenz GH, Chavarha M, Pendergraft J, Harrington J, Hirokawa KE, Harris JA, Nicovich PR, McGraw MJ, Ollerenshaw DR, Smith KA, Baker CA, Ting JT, Sunkin SM, Lecoq J, Lin MZ2, Boyden ES, Murphy GJ, da Costa NM, Waters J, Li L, Tasic B, Zeng H

The Markov link method: a nonparametric approach to combine observations from multiple experiments

bioRxiv
October 30, 2018

Loper J, Bakken T, Sumbul U, Murphy G, Zeng H, Bleib D, Paninski L