Curriculum Vitae (p. 1)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Birthplace:

Winnipeg, Canada, June 5, 1972

Citizenship:

US

Education:

PhD, Neuroscience, University of California, San Francisco (2001).
BA, Psychology/Mathematics, Reed College (1995).

Positions held:
2012 – present Co-director, Grossman Center for the Statistics of Mind, Columbia University, New York,NY.
2011 – present Assistant Professor, Department of Neuroscience, Kavli Institute for Brain Science, Columbia
University Medical Center, New York, NY.
2008 – 2011

Research Associate, Laboratory of Krishna V Shenoy, Stanford University.

2001 – 2008

Postdoctoral Fellow, Laboratory of Krishna V Shenoy, Stanford University.

1995 – 2001

Graduate student, Laboratory of Stephen G Lisberger, University of California San Francisco.

Research: Electrophysiological and behavioral study of the neural events that initiate and generate voluntary
movement.
Postdoctoral research: Electrophysiological study of the neural basis of movement planning and execution.
Doctoral research: Electrophysiological study of visual motion processing and ocular smooth pursuit.
Awards and honors:
Klingenstein-Simons Fellowship Award (2015)
McKnight Scholar Award (2013)
Sloan Research Fellow (2013)
NIH Director's New Innovator Award Program (2012-2017)
Searle Scholars Program (2012-2015)
Sammy Kuo Award (best neuroscience paper from Stanford, 2010)
Burroughs Wellcome Fund Career Award in the Basic Biomedical Sciences (2006-2012)
Helen Hay Whitney Foundation Research Fellowship (2003-2006)
National Defense Science and Engineering Graduate Fellowship (1995-1998)
National Science Foundation Graduate Research Fellowship (1995)
Phi Beta Kappa (1995)
Barry M Goldwater Excellence in Education Scholarship (1994)
Professional Service:Society for Neuroscience Committee on Animals in Research 2019-2022
Grant review, German Research Foundation, 2019
NIH / NSF CRCNS study section, March 18-19th 2019

Curriculum Vitae (p. 2)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Grant review, United States – Israel Binational Science Foundation, 2016
Grant review, German-Israeli Foundation for Scientific Research and Development, 2014
NIH study section, ad hoc reviewer July 16th 2013
NSF study section ad hoc reviewer 2012
NIH SMI study section, June 13th 2012
COSYNE (Computational and Systems Neuroscience) annual meeting program committee 2010, 2011.
Reviewing for: Science, Nature, Nature Neuroscience, Nature Communications, Neuron, Journal of
Neuroscience, eNeuro, Journal of Neurophysiology, eLife, Cerebral Cortex, TINS, Journal ofComputational Neuroscience, Vision Research, Behavioral Brain Research, Proceedings of the Royal
Society, PNAS
Professional Memberships: Society for Neuroscience, Society for the Neural Control of movement.
Teaching:
Practical analysis of extracellular recordings (G4800), 2017, 2020.
Introduction to MATLAB programming, Neuroscience Bootcamp, 2016.
Instructor, Data Analysis (NBHV G6030), Columbia University, 2016, 2017.
Instructor, Cold Spring Harbor Laboratory Asia Computational and Cognitive Biology Summer School,
Beijing China, 2013.
Panelist and discussant, ‘Neuroscience and History’ working group, Columbia University, 2013.
Lecturer, Developmental and Systems Neurobiology (BIOL W3005) Columbia University, 2013, 2014,2018.
Lecturer, Biology of Neurologic and Psychiatric Disorders (G4100) Columbia University, 2014, 2015.

Workshops organized:
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, Sept 26-27, 2019, Aspen Center for Physics, Aspen, CO.
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, Sept 26-27, 2018, Aspen Center for Physics, Aspen, CO.
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, April 20-21, 2017, Columbia University, New York, NY.
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, May 26-27, 2016, Columbia University, New York, NY.
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, Sept 22-23, 2014, Columbia University, New York, NY.
Quantifying structure in large neural datasets, Grossman Center for the Statistics of Mind annual
workshop, Oct 16-18, 2013, Columbia University, New York, NY.
Recurrent neural networks and motor control, COSYNE, March 1, 2011, Snowbird, Utah
Neural variability and movement variability. COSYNE, March 2-3 2009, Snowbird, Utah.

Curriculum Vitae (p. 3)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Public (general audience) lectures & appearances
The neural dynamics underlying voluntary movement. Celebration of the work of Patrick Suppes. May
2nd, 2013. Faculty House, Columbia University.
Motion from rhythm. New York Times R&D Seminar Series. October 24th, 2012, New York, NY.
Motion from rhythm. Frontiers of the Mind Seminar Series. May 8th 2012, New York, NY.
The science studio, Science network video series, 2010.
Keynote Talks:
Opening talk, III Neurobiology Meeting of the Mexican Society for Biochemistry. Guanajuato, México,
September 22-25, 2019
The neural dynamics of movement generation, Temporal Dynamics of Learning Meeting, UC San Diego,
La Jolla, CA, February 7-9, 2013.
Invited Seminars and Presentations:(Upcoming) Neurobiology of Cognition Gordon Research Conference (GRC). July 26-31, 2020,
Sunday River Resort, Newry, ME.
(Upcoming) Student-invited speaker, Departmental Seminar, Department of Neuroscience,
Washington University School of Medicine. May 6, 2020.
(Upcoming) Stanford Neuroscience Institute Seminar Series, Stanford University, Winter 2020.
(Upcoming) Departmental Seminar, Solomon H. Snyder Department of Neuroscience, Johns Hopkins
University. December 12, 2019.
Leveraging theory to understand and predict cortical activity during movement. FENS Brain
Conferences: Dynamics of the brain: temporal aspects of computation. June 9-12,
Rungstedgaard, Denmark.
Leveraging theory to understand motor cortex activity. Tokyo Hand Meeting. April 21st, 2019. Faculty of
Education, Hongo Campus, University of Tokyo, Tokyo, Japan.
Leveraging theory to understand the motor cortex population response. Swartz Seminar Series for
Computational Neuroscience, Center for Neural Science. September 21st, 2018. New York University,
New York NY.
Motor cortex embeds muscle-like commands in an untangled population response. Mechanisms of
Dexterous Behavior. May 13-16, Janelia Research Campus, VA.
Why motor cortex responses don’t obey expectations. Carnegie Mellon University, Department ofElectrical & Computer Engineering Seminar Series. March 22, 2018, Pittsburgh PA.
Motor cortex embeds muscle-like commands in an untangled population response. University of Montreal
Dept. of Neuroscience Seminar Series, October 13, 2017, Montreal, Canada.
Motor cortex embeds muscle-like commands in an untangled population response. Neural Coding,Computation and Dynamics (NCCD) September 17-20, 2017, Capbreton, France.
Motor cortex is a disentangled code for muscle activity. Progress in Motor Control XI, July 19-20, 2017,
Miami Marriott Biscayne Bay Hotel, Miami, Florida.
How does motor cortex activity relate to movement? The enduring challenge of reversing causality. Kavli
Salon, January 20th 2017, Hotel Nacional, Havana, Cuba

Curriculum Vitae (p. 4)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

You should look before you leap… but must you prepare before you move? CNEURO Symposium,
January 19th 2017, Cuban Neuroscience Center, Havana, Cuba
The neural events preceding voluntary movement. University of California at Santa Barbara SAGE
lecture. February 17th 2016, Santa Barbara CA
The neural events preceding voluntary movement. Caltech Computation and Neural Systems Program
Seminar Series. Dec. 7th, 2015. Pasadena CA
The neural events preceding voluntary movement. Stanford Neurosciences Graduate Program Retreat.
October 23-25, 2015, Hopkins Marine Station, Pacific Grove, CA
How your brain generates voluntary movement. Simons Foundation Conference on Theory & Biology,
April 17th 2015, New York NY
Initiating and generating patterns of activity for movement. Department of Neuroscience Seminar Series,
University of Geneva, January 30th, 2015.
A Neural Signature of Movement Initiation. Neurobiology of Cognition. Gordon Research Conference.
Circuits, Dynamics, Action and Perception. July 20-25, 2014 Sunday River Resort Newry, ME
Many movements, one trigger? AREADNE 2014, Santorini, Greece, 25-29 June 2014.
The neural basis of voluntary movement initiation. LXXIX Cold Spring Harbor Symposium on
Quantitative Biology: Cognition. May 28–June 2, 2014
The neural dynamics of movement generation. Neurosciences Seminar Series, UCSD, San Diego CA, May
13, 2014.
A neural signature of movement initiation, Center for Brain Science Seminar Series, Harvard University.
April 22nd, 2014.
The neural dynamics of movement generation, Neuroscience Institute Seminar Series, Princeton
University. April 10th, 2014.
The neural dynamics of movement generation, Neurobiology Seminar Series, Duke University. March
19th, 2014.
The neural dynamics of movement generation, Neurobiology Seminar Series, Harvard Medical School.
January 27th, 2014.
A neural signature of movement initiation, The Assembly and Function of Neuronal Circuits, 29th
September 4th - October, 2013, Monte Verità, Ascona, Switzerland.
A neural signature of movement initiation, EPFL Life Science Symposium 2013 – Motor Control, August
29th, 2013, Lausanne, Switzerland.
The neural dynamics of movement generation, University of Newcastle Neuroscience Seminar Series, June
20th, 2013, Newcastle England.
The neural dynamics of movement generation, Temporal Dynamics in Learning: Networks and Neural
Data, Janelia Farm, May 14th, 2013.
The neural dynamics of movement generation, Cold Spring Harbor Neuroscience Seminar Series, Cold
Spring Harbor, NY, March 15th, 2013.
The neural dynamics of movement generation, Queen’s University, Canada, February 6th, 2013.
The neural dynamics of movement generation, Swartz Seminar Series, Yale University, January 25th, 2013
The neural dynamics of movement generation, Janelia Farm Systems Neuroscience Seminar Series,
Janelia Farm, Ashburn VA, Nov 14th 2012.
The neural dynamics of movement generation. Champalimaud Neuroscience Programme Seminar Series,
Champalimaud Centre for the Unknown, September 6th, 2012.

Curriculum Vitae (p. 5)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Analysis of neural dynamics. Swartz/Janelia/Gatsby Workshop on dimensionality reduction methods.
HHMI Janelia Farm Research Campus, Ashburn VA, July 25-27 2012.
Motion from rhythm. Columbia University Dept. of Psychiatry Grand Rounds. New York NY, July 20,
2012.
How the motor cortex plans and generates movement. Telluride Neuromorphic Cognition Engineering
Workshop 2012. July 1-21, 2012, Telluride, Colorado.
Primate motor cortex: a central, central pattern generator? 28th Symposium on the Computational
Foundations of Perception and Action. University of Rochester. June 1, 2012.
Motor cortex and the dynamics of neural pattern generation. Boston University Seminar Series. April 6th,
2012.
Motor cortex and the dynamics of neural pattern generation. Johns Hopkins School of Medicine.
February 16, 2012.
A conserved principle underlying movement generation. The Neural Basis of Motor Control, HHMI
Janelia Farm Research Campus. Oct. 30 – Nov. 2, 2011.
Visualizing the neural correlate of decisions in real time. Meeting of Gatsby Neuroscience Grantees.
London, UK, Oct 17-19, 2011.
Motor cortex and the dynamics of neural pattern generation. Columbia Neuroscience Program SemiAnnual Retreat. Mohonk Mountain House, Sept. 10, 2011.
Stimulus onset quenches neural variability: a widespread cortical phenomenon Meeting on Neuronal
Response Variability and Cortical Computation The Banbury Center, Cold Spring Harbor Laboratory,
April 3-6, 2011
Conserved principles of movement generation: a dynamical systems perspective. U Penn Bioengineering
Seminar Series. Philadelphia PA, March 30, 2011
Conserved principles of movement generation. Craik Club Seminar. Cambridge University. Feb 11,
2011.
Conserved principles of movement generation. Institute of Movement Neuroscience & Sobell Departmentof Motor Neuroscience and Movement Disorders (UCL) seminar series. University College London.
Feb 8, 2011.
Motor cortex: the central, central pattern generator. Seminar, University of Texas at Austin, Dec 16, 2009.
Motor cortex: the central, central pattern generator. Seminar, University of Pittsburgh, Pittsburgh PA, Oct6, 2009.
Quantifying neural variability (in Neural Computation and Statistical Analysis of Neural Data).
Biomedical Engineering Society annual meeting. Pittsburgh PA, Oct 7-10, 2009.
A pan-cortical stimulus-driven decline in neural variability. Columbia University Center for Theoretical
Neuroscience weekly seminar. June 26, 2009
Motor control: dynamics versus tuning. (plenary lecture) Coherent Behavior in Neuronal Networks
Workshop, October 17-20, 2007. Mallorca, Spain.
Neural dynamics during movement preparation and generation. Smith-Kettlewell Colloquium. Smith
Kettlewell Eye Research Institute. April 12, 2007.
Neural dynamics during movement preparation and generation: data and ideas. Neurobiology Seminarseries, Columbia School of Physicians and Surgeons, Columbia University. February 2, 2006.
Motor preparation and voluntary movement. Neuroscience Institute at Stanford retreat. Asilomar, May 19,2006.

Curriculum Vitae (p. 6)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Neural mechanisms of movement planning: A Role for Recurrent Networks. Sloan-Swartz Seminar,
Sloan-Swartz Center for Theoretical Neurobiology at the Salk Institute. April 5, 2005.
The neural basis of an illusory increase in speed produced by apparent motion. Weekly seminar series,
NASA AMES Research Center, Human Factors Research and Technology Division. 2001.
Oral conference presentations:
Panel presentation: Motor sequence preparation and control: From population dynamics to whole brain
representations. NCM Annual Meeting. Toyama, Japan. April 24, 2019.
Leveraging dynamical smoothness to predict motor cortex population activity. Simons Collaboration on
the Global Brain Annual Meeting. New York NY. September 5-7 2018
Why motor cortex responses don’t look like they should. Klingenstein-Simons Annual Meeting. New YorkNY. May 9-10, 2018.
Division of labor between the hemispheres during movement generation. Computational and Systems
Neuroscience (COSYNE) Workshops: Brain-wide neuronal dynamics and inter-area communication:
Recordings, analysis, and theory. Breckenridge CO, March 6, 2018
Relating motor cortex activity to movement; the enduring challenge of reversing causality. Computationaland Systems Neuroscience (COSYNE) Workshops: New methods for understanding neural dynamics
and computation. Snowbird UT, February 28, 2017
How does motor cortex activity relate to movement. Grossman Center for the Statistics of Mind annual
workshop. Columbia University, New York, NY. April 20-21, 2017
The neural events preceding voluntary movement. McKnight Conference on Neuroscience. May 20-23,
2016, Minneapolis Minnesota.
The versatile brain: neural signatures of flexible computations. Simons Collaboration on the Global Brain
Annual Meeting, September 10–12 2015, New York NY
What Are the Neural Events that Initiate Voluntary Movement? Searle Scholars Annual Meeting. April
12-15 2015, Chicago IL
A Neural Signature of Movement Initiation. Quantifying structure in large neural datasets, Grossman
Center for the Statistics of Mind annual workshop, Sept 22-23, 2014, Columbia University, New
York, NY.
Tensor-based dimensionality reduction for data exploration. Computational and Systems Neuroscience(COSYNE) Workshops: Reducing the Complexity of Sensorimotor Control. Snowbird UT, March 3-4,
2014
What have we learned form a century of studying primary motor cortex? Platform presentation, 23nd
Annual Meeting of the Society for the Neural Control of Movement. San Juan, Puerto Rico, April 15 20, 2013.
Primate motor cortex: a central central pattern generator? Platform presentation, 22nd Annual Meeting of
the Society for the Neural Control of Movement. Venice, Italy, April 23 - 29, 2012.
Dynamical underpinnings of movement generation. Platform presentation, 21th Annual Meeting of theSociety for the Neural Control of Movement. San Juan, Puerto Rico, April 26-30, 2011.
Neural variability and movement variability (in workshop of the same name) COSYNE, March 2-3 2009,
Snowbird, Utah.
Neural dynamics during movement planning and execution. In Computational and neural mechanisms forthe control of goal directed movement in primates (symposium). FENS Forum of European
Neuroscience, Geneva, Switzerland, July 13, 2008.

Curriculum Vitae (p. 7)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Neural dynamics during motor preparation. Platform presentation, 17th Annual Meeting of the Society for
the Neural Control of Movement. Seville, Spain, March 25-30, 2007.
Neural dynamics during movement planning and execution. 4th Annual Computational and Systems
Neuroscience (COSYNE) Workshops: Reducing the Complexity of Sensorimotor Control. Park City
UT, Feb. 26-27, 2007
Neural variability in premotor cortex provides a signature of motor preparation. Platform presentation, 2ndannual Computational and Systems Neuroscience (COSYNE) meeting. Salt Lake City UT, March 1720, 2005
Settling recurrent networks underlie motor planning in the primate brain. NIPS workshop: The
Neurobiology of planning and deciding: studies from many levels of brain organization Whistler,
Canada, Dec. 16-18, 2004
Role of movement preparation in movement generation. SFN satellite meeting: Advances in
Computational Motor Control III, San Diego CA, Oct. 22, 2004
Abstracts not yet published as full papers:
Ames KC, Abbott LF, Churchland MM (2018). Neural activity in primate motor cortex during bimanualversus unimanual rhythmic movements. 224.01 Society for Neuroscience Annual Meeting, San DiegoCA.
Russo AA, Khajeh R, Bittner SR, Perkins S, Cunningham JP, Abbott LF, Churchland MM (2018). The
supplementary motor area, but not motor cortex, produces neural trajectories consistent with a
network that can autonomously generate long-timescale sequences. 310.05 Society for Neuroscience
Annual Meeting, San Diego CA.
Zimnik AJ and Churchland MM (2018). Preparation of movement sequences in motor cortex. 310.06
Society for Neuroscience Annual Meeting, San Diego CA.
Perkins SM, Schroeder KE, Wang Q, Churchland MM (2018). Decoding sustained cyclic movementsfrom low-dimensional neural states. 312.21 Society for Neuroscience Annual Meeting, San Diego CA.
Schroeder KE, Perkins SM, Wang Q, Churchland MM (2018). Virtual navigation via a closed-loop
brain-machine interface. 590.11 Society for Neuroscience Annual Meeting, San Diego CA.
Zimnik AJ, Lara AH, Churchland MM (2017). Preparatory activity in motor cortex and supplementary
motor area does not reflect the instantaneous probability of choosing to move. Society for
Neuroscience Annual Meeting, Washington DC.
Marshall NJ, Abbott LF, Churchland MM (2017). Optimal force production by an idealized motor poolnecessitates a flexible interplay between size and speed principles. Society for Neuroscience Annual
Meeting, Washington DC.
Edited volumes:
Motor Circuits and Action (2015). Current Opinion in Neurobiology
Publications (full list available at https://scholar.google.com/citations?hl=en&user=AtknMf0AAAAJ )Schroeder KE, Perkins SM, Cunningham JP, Churchland MM (in preparation) Real-time BMI control ofvirtual locomotion based on rhythmic motor cortex activity.
Saxena S, Russo AA, Abbott LF, Cunningham JP, Churchland MM (in preparation) Motor cortex
population dynamics across movement speeds.

Curriculum Vitae (p. 8)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Ames KC, Abbott LF, Churchland MM (in preparation) Structure of motor cortex population activity
during bimanual movement.
Russo AA, Khajeh R, Bittner SR, Cunningham JP, Abbott LF, Churchland MM (under review, preprint
available) Neural trajectories in the supplementary motor area and primary motor cortex exhibit
distinct geometries, compatible with different classes of computation.
Ames KC and Churchland MM (2019). Motor cortex signals for each arm are mixed across hemispheres
and neurons yet partitioned within the population response. eLife. Oct 9. doi:
https://doi.org/10.7554/eLife.46159.001
Zimnik AJ, Lara AH, Churchland MM (2019) Perturbation of macaque supplementary motor area
produces context-independent changes in the probability of movement initiation. J. Neurosci. Feb 12.
doi: 10.1523/JNEUROSCI.2335-18.2019
Lara AH, Elsayed GF, Zimnik AJ, Cunningham JP, Churchland MM (2018) Conservation of preparatoryneural events in monkey motor cortex regardless of how movement is initiated. eLife Aug 22;7. doi:
10.7554/eLife.31826
Lara AH, Cunningham JP, Churchland MM (2018) Different population dynamics in the supplementary
motor area and motor cortex during reaching. Nature Communications 9(1). DOI: 10.1038/s41467018-05146-z
Russo AA, Bittner SR, Perkins SM, Seely JS, London BM, Lara AH, Miri A, Marshall NJ, Kohn A,
Jessell TM, Abbott LF, Cunningham JP, Churchland MM (2018) Motor cortex embeds muscle-likecommands in an untangled population response. Neuron. 97(4):953-966
Miri A, Warriner CL, Seely JS, Elsayed GF, Cunningham JP, Churchland MM, Jessell TM (2017)
Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex. Neuron.
2017 Jul 19. doi: 10.1016/j.neuron.2017.06.042. PMID: 28735748
Seely JS, Kaufman MT, Ryu SI, Shenoy KV, Cunningham JP, Churchland MM. (2016) Tensor Analysis
Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1
and V1. PLoS Comput Biol 12 (11): e1005164. doi:10.1371/journal.pcbi.1005164
Elsayed GF, Lara AH, Kaufman MT, Churchland MM, Cunningham JP (2016). Reorganization between
preparatory and movement population responses in motor cortex. Nat Commun.
10.1038/ncomms13239
Kaufman MT, Seely JS, Sussillo D, Ryu SI, Shenoy KV, Churchland MM (2016). The Largest Response
Component in the Motor Cortex Reflects Movement Timing but Not Movement Type. eNeuro. Aug
30;3(4). DOI: 10.1523/ENEURO.0085-16.2016. PMID: 27761519
Kao JC, Nuyujukian P, Ryu SI, Churchland MM, Cunningham JP, Shenoy KV (2015). Single-trial
dynamics of motor cortex and their applications to brain-machine interfaces. Nat Commun. Jul
29;6:7759. doi: 10.1038/ncomms8759.
Kiehn O and Churchland MM (2015) Editorial overview: Motor circuits and action. Current Opinion in
Neurobiology http://dx.doi.org/10.1016/j.conb.2015.06.004
Kaufman MT, Churchland MM, Ryu SI, and Shenoy KV (2015) Vacillation, indecision and hesitation in
moment-by-moment decoding of monkey motor cortex. eLife doi: 10.7554/eLife.04677
Sussillo D, Churchland MM, Kaufman MT, and Shenoy KV (2015) A neural network that finds
naturalistic solutions for the production of muscle activity. Nature Neuroscience doi:
10.1038/nn.4042
Churchland MM and Cunningham JP (2015) A dynamical basis set for generating reaches. Cold Spring
Harbor Symposium Volume 79: Cognition. doi: 10.1101/sqb.2014.79.024703
Churchland MM (2015) Using the precision of the primate to study the origins of movement variability.
Neuroscience, doi:10.1016/j.neuroscience.2015.01.005

Curriculum Vitae (p. 9)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Kaufman MT, Churchland MM, Ryu SI, and Shenoy KV (2014) Cortical activity in the null space:permitting preparation without movement. Nature Neuroscience 17(3):440-8
Shenoy KV, Sahani M, Churchland MM (2013) Cortical control of arm movements: a dynamicalsystems perspective. Annual Review of Neuroscience 36:337-359.
Kaufman MT, Churchland MM, Shenoy KV (2013) The roles of monkey M1 neuron classes inmovement preparation and execution. Journal of Neurophysiology 110:817-825.
Cowley BR, Kaufman MT, Butler ZS, Churchland MM, Ryu SI, Shenoy KV, Yu BM (2013) DataHigh:graphical user interface for visualizing and interacting with high-dimensional neural activity. J Neural
Eng Dec;10(6):066012. doi: 10.1088/1741-2560/10/6/066012
Gilja V, Nuyujukian P, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT,
Kao JC, Ryu SI, and Shenoy KV (2012). A high-performance neural prosthesis enabled by control
algorithm design. Nature Neuroscience 15:1752-1757.
Churchland MM & Abbott LF (2012) Two layers of neural variability. News and Views, Nature
Neuroscience. 15(11): 1472-1474.
Churchland MM*, Cunningham JP* (contributing equally), Kaufman MT, Nuyujukian P, Foster JD, Ryu
SI, and Shenoy KV (2012) Neural population dynamics during reaching. Nature. 487: 51-56.
Shenoy KV, Kaufman MT, Sahani M, Churchland MM (2011) A dynamical systems view of motor
preparation: implications for neural prosthetic system design. Prog Brain Res. 192: 33-58.
Chestek CA, Gilja V, Nuyujukian P, Foster JD, Fan JM, Kaufman MT, Churchland MM, RiveraAlvidrez Z, Cunningham JP, Ryu SI, Shenoy KV. (2011) Long-term stability of neural prosthetic
control signals from silicon cortical arrays in rhesus macaque motor cortex. J Neural Eng
Aug;8(4):045005. doi: 10.1088/1741-2560/8/4/045005
Churchland MM, Cunningham JP, Kaufman MT, Ryu SI, and Shenoy KV (2010) Cortical preparatory
activity: representation of movement or first cog in a dynamical machine? Neuron. 68(3):387-400
Kaufman MT, Churchland MM, Santhanam G, Yu BM, Afshar A, Ryu SI, and Shenoy KV (2010). The
roles of monkey premotor neuron classes in movement preparation and execution. J Neurophysiol,104(2): 799-810.
Churchland MM*, Yu BM* (contributing equally), Cunningham JP, Sugrue LP, Cohen MR, Corrado
GS, Newsome WT, Clark AM, Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA,
Armstrong KM, Moore T, Chang SW, Snyder LH, Lisberger SG, Priebe NJ, Finn IM, Ferster D, Ryu
SI, Santhanam G, Sahani M, and Shenoy KV (2010) Stimulus onset quenches neural variability: awidespread cortical phenomenon. Nat. Neurosci. 13(3): 369-78
Churchland MM, Yu BM, Sahani M and Shenoy KV (2007) Techniques for extracting single-trial
activity patterns from large-scale neural recordings. Curr Opin Neurobiol. 17:609-18
Chestek CA, Batista AP, Santhanam G, Yu BM, Afshar A, Cunningham JP, Gilja V, Ryu SI, Churchland
MM and Shenoy KV (2007) Single-neuron stability during repeated reaching in macaque premotor
cortex. J. Neurosi. 27:10742-50
Churchland MM, and Shenoy KV (2007) Temporal complexity and heterogeneity of single-neuron
activity in premotor and motor cortex. J. Neurophysiol. 97: 4235-57
Churchland MM, Afshar A, Shenoy KV (2006) A central source of movement variability. Neuron 52:
1085-96
Churchland MM and Shenoy KV (2006) Delay of movement caused by disruption of corticalpreparatory activity. J Neurophysiol. 97: 348-59
Churchland MM, Santhanam G, Shenoy KV (2006) Preparatory activity in premotor and motor cortex
reflects the speed of the upcoming reach. J Neurophysiol. 96:3130-46

Curriculum Vitae (p. 10)

Prof. Mark M. Churchland

http://churchland.zuckermaninstitute.columbia.edu

Churchland MM, Yu BM, Ryu SI, Santhanam G, Shenoy KV (2006) Neural variability in premotor
cortex provides a signature of motor preparation. J Neurosci. 26: 3697-712
Churchland MM, Priebe NJ and Lisberger SG (2005) Comparison of the spatial limits on direction
selectivity in visual areas MT and V1. J. Neurophysiol. 93:1235-45
Churchland MM, Chou IH and Lisberger SG (2003) Evidence for object permanence in the smoothpursuit eye movements of monkeys. J Neurophysiol. 90: 2205-18
Priebe NJ, Churchland MM and Lisberger SG (2002) Constraints on the source of short-term motion
adaptation in macaque area MT: I. The role of input and intrinsic mechanisms. J Neurophysiol 88:
354-69Churchland MM and Lisberger SG (2001) Shifts in the population response in the middle temporalvisual area parallel perceptual and motor illusions produced by apparent motion. J Neurosci 21: 93879402
Priebe NJ*, Churchland MM* (contributing equally), and Lisberger SG (2001) Reconstruction of target
speed for the guidance of pursuit eye movements. J Neurosci 21: 3196-206
Churchland MM and Lisberger SG. (2001) Experimental and computational analysis of monkey smooth
pursuit eye movements. J Neurophysiol 86: 741-59
Churchland MM and Lisberger SG. (2000) Apparent motion produces multiple deficits in visually
guided smooth pursuit eye movements of monkeys. J Neurophysiol 84: 216-35