World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
22337
World Ranking
12835
National Ranking
5171

Research.com Recognitions

  • 1997 - Fellow of Alfred P. Sloan Foundation

Overview

Ernst Niebur is affiliated with Johns Hopkins University in the United States and has a multidisciplinary research profile spanning neuroscience and computer science. Their work primarily focuses on areas such as visual attention and saliency detection, visual perception and processing mechanisms, neural dynamics and brain function, neural and behavioral psychology studies, olfactory and sensory function studies, decision-making and behavioral economics, as well as EEG and brain-computer interfaces.

Their recent publications include:

  • "Standing out in a small crowd: The role of display size in attracting attention" (2021, Visual Cognition)
  • "Event-driven proto-object based saliency in 3D space to attract a robot's attention" (2022, Scientific Reports)
  • "Analysis of spiking synchrony in visual cortex reveals distinct types of top-down modulation signals for spatial and object-based attention" (2021, PLoS Computational Biology)
  • "A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model With a Hybrid FPGA Implementation" (2021, IEEE Transactions on Biomedical Circuits and Systems)
  • "Proto-Object Based Saliency Model With Texture Detection Channel" (2020, Frontiers in Computational Neuroscience)

Niebur has collaborated frequently with several researchers including Aaron L. Sampson, Veit Stuphorn, Ralph Etienne-Cummings, You-Ping Yang, and Marius Usher.

The main publication venues for their work are bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Visual Cognition, Scientific Reports, and PLoS Computational Biology. Their scholarly output reflects a strong emphasis on cognitive neuroscience and computer vision and pattern recognition.

Their research contributions cover various subfields such as cognitive neuroscience, cellular and molecular neuroscience, sensory systems, and general decision sciences, which highlight a diverse approach to understanding neural and sensory functions.

Ernst Niebur was recognized as a Fellow of the Alfred P. Sloan Foundation in 1997.

Best Publications

  • A model of saliency-based visual attention for rapid scene analysis

    L. Itti;C. Koch;E. Niebur

  • Modeling the role of salience in the allocation of overt visual attention.

    Derrick Parkhurst;Klinton Law;Ernst Niebur

  • Attention modulates synchronized neuronal firing in primate somatosensory cortex.

    Peter N. Steinmetz;A. Roy;P. J. Fitzgerald;S. S. Hsiao

  • Neural Correlates of High-Gamma Oscillations (60–200 Hz) in Macaque Local Field Potentials and Their Potential Implications in Electrocorticography

    Supratim Ray;Nathan E. Crone;Ernst Niebur;Piotr J. Franaszczuk

  • Scene content selected by active vision.

    Derrick J. Parkhurst;Ernst Niebur

  • A Neural Model of Figure–Ground Organization

    Edward Craft;Hartmut Schütze;Hartmut Schütze;Ernst Niebur;Rüdiger von der Heydt

  • High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention

    Supratim Ray;Ernst Niebur;Steven S. Hsiao;Alon Sinai

  • Lateral interactions in primary visual cortex: a model bridging physiology and psychophysics

    Martin Stemmler;Marius Usher;Marius Usher;Marius Usher;Ernst Niebur

  • An oscillation-based model for the neuronal basis of attention

    Ernst Niebur;Christof Koch;Christopher Rosin

  • Criticality in neural systems

    Dietmar Plenz;Ernst Niebur

  • Synchrony: a neuronal mechanism for attentional selection?

    Ernst Niebur;Steven S Hsiao;Kenneth O Johnson

  • Self-organized criticality occurs in non-conservative neuronal networks during /`up/' states

    Daniel Millman;Stefan Mihalas;Alfredo Kirkwood;Ernst Niebur

  • Control of Selective Visual Attention: Modeling the "Where" Pathway

    Ernst Niebur;Christof Koch

  • A model for the neuronal implementation of selective visual attention based on temporal correlation among neurons

    Ernst Niebur;Christof Koch

  • A Model for Neuronal Competition During Development

    Christopher D. Deppmann;Stefan Mihalas;Nikhil Sharma;Bonnie E. Lonze

  • A generalized linear integrate-and-fire neural model produces diverse spiking behaviors

    Ştefan Mihalaş;Ernst Niebur

  • Texture contrast attracts overt visual attention in natural scenes.

    Derrick J. Parkhurst;Ernst Niebur

  • Modeling the temporal dynamics of it neurons in visual search: A mechanism for top-down selective attention

    Marius Usher;Ernst Niebur

  • Effect of Stimulus Intensity on the Spike–Local Field Potential Relationship in the Secondary Somatosensory Cortex

    Supratim Ray;Steven S. Hsiao;Nathan E. Crone;Piotr J. Franaszczuk

  • Everyone knows what is interesting: salient locations which should be fixated.

    Christopher Michael Masciocchi;Stefan Mihalas;Derrick Parkhurst;Ernst Niebur

  • A model of proto-object based saliency.

    Alexander F. Russell;Stefan Mihalaş;Rudiger von der Heydt;Ernst Niebur

  • Synchrony and the binding problem in macaque visual cortex.

    Yi Dong;Stefan Mihalas;Fangtu Qiu;Rüdiger von der Heydt

  • Theory of the locomotion of nematodes: control of the somatic motor neurons by interneurons.

    Ernst Niebur;Paul Erdős

  • Variable-resolution displays: a theoretical, practical, and behavioral evaluation.

    Derrick J. Parkhurst;Ernst Niebur

  • Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects

    Stefan Mihalas;Yi Dong;Rüdiger von der Heydt;Ernst Niebur

  • Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory

    Marius Usher;Heinz Georg Schuster;Ernst Niebur

  • A model for neuronal competition during development

    C.D. Deppmann;S. Mihalas;N. Sharma;B.E. Lonze

Frequent Co-Authors

Stefan Mihalas
Stefan Mihalas Allen Institute for Brain Science
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Christof Koch
Christof Koch Allen Institute for Brain Science
Marius Usher
Marius Usher Tel Aviv University
Florentin Wörgötter
Florentin Wörgötter University of Göttingen
Steven S. Hsiao
Steven S. Hsiao Johns Hopkins University
Kenneth O. Johnson
Kenneth O. Johnson Johns Hopkins University
Daniel M. Kammen
Daniel M. Kammen University of California, Berkeley
Nathan E. Crone
Nathan E. Crone Johns Hopkins University
Howard E. Egeth
Howard E. Egeth Johns Hopkins University

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