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D-Index & Metrics

Neuroscience

D-Index
44
Citations
9986
World Ranking
7083
National Ranking
3067

Overview

Anne K. Churchland is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the field of Neuroscience, with a strong emphasis on Cognitive Neuroscience. Other subfields they contribute to include Cellular and Molecular Neuroscience, Biophysics, Molecular Biology, and Computer Vision and Pattern Recognition.

The main topics of their research work focus on neural dynamics and brain function, functional brain connectivity studies, and neuroscience and neuropharmacology research. Additional areas of study include memory and neural mechanisms, neural and behavioral psychology studies, photoreceptor and optogenetics research, and visual perception and processing mechanisms.

Notable recent papers by Anne K. Churchland include:

  • Large-scale neural recordings call for new insights to link brain and behavior, 2022, Nature Neuroscience
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications
  • Mice alternate between discrete strategies during perceptual decision-making, 2022, Nature Neuroscience
  • Standardized and reproducible measurement of decision-making in mice, 2021, eLife
  • Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research, 2021, Neural Networks

Frequent coauthors working alongside Anne K. Churchland include:

  • Anne E Urai
  • Anup Khanal
  • Matteo Carandini
  • Zachary F. Mainen
  • Guido T. Meijer

The venues where Anne K. Churchland regularly publishes reflect their active engagement in high-impact neuroscience research. These publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Nature Neuroscience
  • Nature Methods
  • Nature

Best Publications

  • Single-trial neural dynamics are dominated by richly varied movements

    Simon Musall;Matthew T Kaufman;Matthew T Kaufman;Ashley L Juavinett;Ashley L Juavinett;Steven Gluf

  • Decision-making with multiple alternatives.

    Anne K Churchland;Roozbeh Kiani;Michael N Shadlen

  • Probabilistic Population Codes for Bayesian Decision Making

    Jeffrey M. Beck;Wei Ji Ma;Wei Ji Ma;Roozbeh Kiani;Timothy Hanks

  • The cost of accumulating evidence in perceptual decision making.

    Jan Drugowitsch;Rubén Moreno-Bote;Anne K. Churchland;Michael N. Shadlen

  • A category-free neural population supports evolving demands during decision-making

    David Raposo;Matthew T Kaufman;Anne K Churchland

  • Variance as a signature of neural computations during decision-making

    Anne K. Churchland;R. Kiani;R. Kiani;R. Chaudhuri;Xiao Jing Wang

  • Probing perceptual decisions in rodents.

    Matteo Carandini;Anne K Churchland

  • Large-scale neural recordings call for new insights to link brain and behavior

    Anne E. Urai;Brent Doiron;Andrew M. Leifer;Anne K. Churchland

  • Catalyzing next-generation Artificial Intelligence through NeuroAI

    Unknown

  • Multisensory Decision-Making in Rats and Humans

    David Raposo;John P. Sheppard;John P. Sheppard;Paul R. Schrater;Anne K. Churchland

  • Partial ablations of the flocculus and ventral paraflocculus in monkeys cause linked deficits in smooth pursuit eye movements and adaptive modification of the VOR.

    H. Rambold;A. K. Churchland;Y. Selig;L. Jasmin

  • Standardized and reproducible measurement of decision-making in mice.

    Valeria Aguillon-Rodriguez;Dora Angelaki;Hannah Bayer

  • Mice alternate between discrete strategies during perceptual decision-making

    Unknown

  • Posterior Parietal Cortex Guides Visual Decisions in Rats.

    Angela M. Licata;Matthew T. Kaufman;David Raposo;Michael B. Ryan

  • Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

    Ashley Juavinett;George Bekheet;Anne Churchland

  • Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning

    Farzaneh Najafi;Gamaleldin F. Elsayed;Robin Cao;Eftychios Pnevmatikakis

  • Neural correlates of instrumental learning in primary auditory cortex

    David T. Blake;Fabrizio Strata;Anne K. Churchland;Michael M. Merzenich

  • Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research.

    Tom Macpherson;Anne Churchland;Terry Sejnowski;James DiCarlo

  • Visual Evidence Accumulation Guides Decision-Making in Unrestrained Mice.

    Onyekachi Odoemene;Sashank Pisupati;Sashank Pisupati;Hien Nguyen;Anne K. Churchland

  • Neurobiology of decision making: An intentional framework

    M.N. Shadlen;Roozbeh Kiani;Timothy D. Hanks;Timothy D. Hanks;Anne K. Churchland;Anne K. Churchland

  • The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer.

    M.N. Shadlen;T.D. Hanks;A.K. Churchland;Roozbeh Kiani

  • Discharge properties of MST neurons that project to the frontal pursuit area in macaque monkeys.

    Anne K. Churchland;Stephen G. Lisberger

  • Mice alternate between discrete strategies during perceptual decision-making

    Zoe C. Ashwood;Nicholas A. Roy;Iris R. Stone

Frequent Co-Authors

Michael N. Shadlen
Michael N. Shadlen Columbia University
Roozbeh Kiani
Roozbeh Kiani New York University
Anthony M. Zador
Anthony M. Zador Cold Spring Harbor Laboratory
Stephen G. Lisberger
Stephen G. Lisberger Duke University
Zachary F. Mainen
Zachary F. Mainen Champalimaud Foundation
Alexandre Pouget
Alexandre Pouget University of Geneva
Matteo Carandini
Matteo Carandini University College London
Dora E. Angelaki
Dora E. Angelaki New York University
Thomas D. Mrsic-Flogel
Thomas D. Mrsic-Flogel University College London
Ilana B. Witten
Ilana B. Witten Princeton University

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Exploring these pathways can complement your neuroscience background and broaden your professional opportunities in research, therapy, and healthcare.

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