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D-Index & Metrics

Neuroscience

D-Index
35
Citations
5926
World Ranking
9150
National Ranking
3861

Overview

Mark Stopfer is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on neuroscience, with substantial work in agricultural and biological sciences. Within these fields, they have contributed to subfields including cellular and molecular neuroscience, insect science, sensory systems, genetics, and ecology, evolution, behavior, and systematics.

The scientist's research interests span several key topics: neurobiology and insect physiology research, insect pheromone research and control, olfactory and sensory function studies, insect and arachnid ecology and behavior, advanced chemical sensor technologies, plant and animal studies, and ocular surface and contact lens studies.

Mark Stopfer has published extensively in various scientific venues. Frequent publication outlets include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Scientific Reports
  • Progress in Retinal and Eye Research

They have collaborated repeatedly with coauthors including Subhasis Ray, Zane Aldworth, Kui Sun, Nitin Gupta, and Maxim Bazhenov.

Stopfer's recent scholarly articles include:

  • "Feedback inhibition and its control in an insect olfactory circuit," 2020, eLife
  • "Myelination of peripheral nerves is controlled by PI4KB through regulation of Schwann cell Golgi function," 2020, Proceedings of the National Academy of Sciences
  • "Optimality of sparse olfactory representations is not affected by network plasticity," 2020, PLoS Computational Biology
  • "Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality," 2023, eLife
  • "Argos: A toolkit for tracking multiple animals in complex visual environments," 2021, Methods in Ecology and Evolution

Best Publications

  • Impaired Odour Discrimination on Desynchronization of Odour-Encoding Neural Assemblies

    Mark Stopfer;Seetha Bhagavan;Seetha Bhagavan;Brian H. Smith;Gilles Laurent

  • Intensity versus Identity Coding in an Olfactory System

    Mark Stopfer;Vivek Jayaraman;Gilles Laurent

  • Odor encoding as an active, dynamical process : Experiments, computation, and theory

    Gilles Laurent;Mark Stopfer;Rainer W. Friedrich;Misha I. Rabinovich

  • Short-term memory in olfactory network dynamics

    Mark Stopfer;Gilles Laurent

  • Model of Transient Oscillatory Synchronization in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Ramon Huerta

  • Encoding a temporally structured stimulus with a temporally structured neural representation.

    Stacey L Brown;Joby Joseph;Mark Stopfer

  • Sparse odor representation and olfactory learning.

    Iori Ito;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman;Mark Stopfer

  • Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe.

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Henry D.I. Abarbanel

  • Information processing in the olfactory systems of insects and vertebrates.

    Leslie M. Kay;Mark Stopfer

  • Odor-Evoked Neural Oscillations in Drosophila Are Mediated by Widely Branching Interneurons

    Nobuaki K. Tanaka;Kei Ito;Mark Stopfer

  • Temporally Diverse Firing Patterns in Olfactory Receptor Neurons Underlie Spatiotemporal Neural Codes for Odors

    Baranidharan Raman;Joby Joseph;Jeff Tang;Mark Stopfer

  • Adaptive regulation of sparseness by feedforward inhibition

    Collins Assisi;Mark Stopfer;Gilles Laurent;Maxim Bazhenov

  • Functional Analysis of a Higher Olfactory Center, the Lateral Horn

    Nitin Gupta;Mark Stopfer

  • Synaptic learning rules and sparse coding in a model sensory system.

    Luca A. Finelli;Seth Haney;Maxim Bazhenov;Mark Stopfer

  • Fast Odor Learning Improves Reliability of Odor Responses in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mark Stopfer;Terrence J. Sejnowski;Terrence J. Sejnowski;Gilles Laurent

  • Frequency transitions in odor-evoked neural oscillations.

    Iori Ito;Maxim Bazhenov;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman

  • Recent dynamics in olfactory population coding

    Rainer W. Friedrich;Mark Stopfer

  • Heterosynaptic Facilitation of Tail Sensory Neuron Synaptic Transmission during Habituation in Tail-Induced Tail and Siphon Withdrawal Reflexes of Aplysia

    Mark Stopfer;Thomas J. Carew

  • Neural Encoding of Odors during Active Sampling and in Turbulent Plumes

    Stephen J. Huston;Mark Stopfer;Stijn Cassenaer;Zane N. Aldworth

  • Dynamical coding of sensory information with competitive networks

    M. I. Rabinovich;R. Huerta;R. Huerta;A. Volkovskii;H. D. Abarbanel

Frequent Co-Authors

Maxim Bazhenov
Maxim Bazhenov University of California, San Diego
Gilles Laurent
Gilles Laurent Max Planck Society
Thomas J. Carew
Thomas J. Carew New York University
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Catharine H. Rankin
Catharine H. Rankin University of British Columbia
Rainer W. Friedrich
Rainer W. Friedrich Friedrich Miescher Institute
Kei Ito
Kei Ito University of Cologne
Vivek Jayaraman
Vivek Jayaraman Howard Hughes Medical Institute
Leslie M. Kay
Leslie M. Kay University of Chicago

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Related Online Degrees & Career Pathways

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