D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 76 Citations 32,093 189 World Ranking 676 National Ranking 367

Research.com Recognitions

Awards & Achievements

2013 - Member of the National Academy of Sciences

2002 - Troland Research Awards, United States National Academy of Sciences For his groundbreaking contributions to our understanding of the relation between perceptual experience and neural activity in visual cortex, using neuroimaging and computational methods.

1994 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Neuroscience

His primary areas of study are Neuroscience, Visual cortex, Visual perception, Artificial intelligence and Functional magnetic resonance imaging. The Visual cortex study combines topics in areas such as Receptive field, Communication, Stimulus, Normalization model and Neuroimaging. His Communication study incorporates themes from Neural activity, Perception and Calcarine sulcus.

His Visual perception research includes themes of Visual processing and Linear model. His Artificial intelligence study integrates concerns from other disciplines, such as Psychophysics, Computer vision and Pattern recognition. His work deals with themes such as Magnetic resonance imaging, Human brain and Macaque, which intersect with Functional magnetic resonance imaging.

His most cited work include:

  • Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 (2037 citations)
  • Normalization of cell responses in cat striate cortex (1557 citations)
  • Shiftable multiscale transforms (1217 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Neuroscience, Visual cortex, Artificial intelligence, Stimulus and Visual perception. His works in Brain mapping, Sensory system, Motion perception, Photic Stimulation and Surround suppression are all subjects of inquiry into Neuroscience. His studies in Visual cortex integrate themes in fields like Psychophysics, Functional magnetic resonance imaging, Communication and Visual memory.

While the research belongs to areas of Artificial intelligence, David J. Heeger spends his time largely on the problem of Pattern recognition, intersecting his research to questions surrounding Normalization. Within one scientific family, David J. Heeger focuses on topics pertaining to Normalization model under Stimulus, and may sometimes address concerns connected to Covert. His Visual perception course of study focuses on Cognitive psychology and Binocular rivalry and Visual spatial attention.

He most often published in these fields:

  • Neuroscience (51.81%)
  • Visual cortex (43.37%)
  • Artificial intelligence (29.22%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (51.81%)
  • Visual cortex (43.37%)
  • Artificial intelligence (29.22%)

In recent papers he was focusing on the following fields of study:

David J. Heeger mainly focuses on Neuroscience, Visual cortex, Artificial intelligence, Perception and Stimulus. His research integrates issues of Autism and Autism spectrum disorder in his study of Neuroscience. David J. Heeger has included themes like Cued speech, Luminance, Endogeny and Normalization in his Visual cortex study.

His Artificial intelligence research is multidisciplinary, incorporating elements of Sensory processing, Computer vision and Pattern recognition. The study incorporates disciplines such as Segmentation, Cognitive psychology, Visual search and Perspective in addition to Perception. His Stimulus research incorporates themes from Space, Speech recognition and Visual attention.

Between 2017 and 2021, his most popular works were:

  • Specific Visual Subregions of TPJ Mediate Reorienting of Spatial Attention. (40 citations)
  • Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective. (23 citations)
  • Oscillatory recurrent gated neural integrator circuits (ORGaNICs), a unifying theoretical framework for neural dynamics (12 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Neuroscience

David J. Heeger spends much of his time researching Neuroscience, Visual cortex, Cued speech, Sensory system and Perception. He is involved in the study of Neuroscience that focuses on Cortex in particular. His Cortex research integrates issues from Human brain, Artificial intelligence, Eye movement, Visual field and Pattern recognition.

His Visual cortex research incorporates elements of Normalization, Macaque, Stimulus, Neuron and Prolonged exposure. His biological study spans a wide range of topics, including Pupillometry, Pupil and Autism, Autism spectrum disorder. When carried out as part of a general Perception research project, his work on Rapid serial visual presentation, Visual spatial attention and Visual space is frequently linked to work in Field size and Disgust, therefore connecting diverse disciplines of study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1

Geoffrey M. Boynton;Stephen A. Engel;Gary H. Glover;David J. Heeger.
The Journal of Neuroscience (1996)

2591 Citations

Normalization of cell responses in cat striate cortex

David J. Heeger.
Visual Neuroscience (1992)

1988 Citations

Shiftable multiscale transforms

E.P. Simoncelli;W.T. Freeman;E.H. Adelson;D.J. Heeger.
IEEE Transactions on Information Theory (1992)

1877 Citations

Pyramid-based texture analysis/synthesis

D.J. Heeger;J.R. Bergen.
international conference on computer graphics and interactive techniques (1995)

1821 Citations

Robust anisotropic diffusion

M.J. Black;G. Sapiro;D.H. Marimont;D. Heeger.
IEEE Transactions on Image Processing (1998)

1752 Citations

Normalization as a canonical neural computation.

Matteo Carandini;David J. Heeger.
Nature Reviews Neuroscience (2012)

1525 Citations

The Normalization Model of Attention

John H. Reynolds;David J. Heeger.
Neuron (2009)

1216 Citations

What does fMRI tell us about neuronal activity

David J. Heeger;David Ress.
Nature Reviews Neuroscience (2002)

1132 Citations

A model of neuronal responses in visual area MT.

Eero P. Simoncelli;David J. Heeger.
Vision Research (1998)

1053 Citations

Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex

Matteo Carandini;David J. Heeger;J. Anthony Movshon.
The Journal of Neuroscience (1997)

1028 Citations

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