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Neuroscience

D-Index
44
Citations
21758
World Ranking
7026
National Ranking
3026

Overview

Gabriel Kreiman is a researcher affiliated with Harvard University in the United States. Their work spans the fields of neuroscience and computer science, with a significant focus on cognitive neuroscience and artificial intelligence. Kreiman's research addresses topics including neural dynamics and brain function, face recognition and perception, and visual perception and processing mechanisms.

The scientist has contributed to various subfields such as cognitive neuroscience, cellular and molecular neuroscience, biophysics, and computer vision and pattern recognition. Their scholarly output includes studies on memory and neural mechanisms, visual attention and saliency detection, domain adaptation and few-shot learning, as well as EEG and brain-computer interfaces.

Kreiman has published extensively in journals and platforms such as Nature Neuroscience, Nature Machine Intelligence, bioRxiv (Cold Spring Harbor Laboratory), Annals of the New York Academy of Sciences, and PLoS ONE. Some of their recent papers include:

  • Neurons detect cognitive boundaries to structure episodic memories in humans (2022, Nature Neuroscience)
  • A neural network trained for prediction mimics diverse features of biological neurons and perception (2020, Nature Machine Intelligence)
  • An adversarial collaboration to critically evaluate theories of consciousness (2023, bioRxiv)
  • Beyond the feedforward sweep: feedback computations in the visual cortex (2020, Annals of the New York Academy of Sciences)
  • An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory (2023, PLoS ONE)

The scientist's frequent co-authors include Will Xiao, Mengmi Zhang, Marcelo Armendáriz, Spandan Madan, and Margaret S. Livingstone.

Kreiman often publishes in venues such as arXiv (Cornell University), bioRxiv, Cell Reports, and the Journal of Vision, with the largest number of publications appearing on preprint servers like arXiv and bioRxiv.

Among Kreiman's academic contributions is a book titled Biological and Computer Vision, published in 2021 by Cambridge University Press.

Best Publications

  • Widespread transcription at neuronal activity-regulated enhancers

    Tae-Kyung Kim;Martin Hemberg;Jesse M. Gray;Allen M. Costa

  • Invariant visual representation by single neurons in the human brain

    R. Quian Quiroga;L. Reddy;Gabriel Kreiman;C. Koch

  • Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

    Chou P. Hung;Chou P. Hung;Gabriel Kreiman;Tomaso Poggio;James J. DiCarlo;James J. DiCarlo

  • Neural correlates of consciousness in humans

    Geraint Rees;Gabriel Kreiman;Christof Koch

  • Category-specific visual responses of single neurons in the human medial temporal lobe

    Gabriel Kreiman;Christof Koch;Itzhak Fried

  • Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

    William Edward Lotter;Gabriel Kreiman;David Daniel Cox

  • Internally generated preactivation of single neurons in human medial frontal cortex predicts volition

    Itzhak Fried;Roy Mukamel;Gabriel Kreiman

  • Imagery neurons in the human brain

    Gabriel Kreiman;Christof Koch;Itzhak Fried

  • Dynamic population coding of category information in inferior temporal and prefrontal cortex.

    Ethan M Meyers;David J Freedman;Gabriel Kreiman;Earl K. Miller

  • Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex

    Hesheng Liu;Hesheng Liu;Yigal Agam;Joseph Russell Madsen;Gabriel Kreiman;Gabriel Kreiman

  • Sparse but not ‘Grandmother-cell’ coding in the medial temporal lobe

    R. Quian Quiroga;R. Quian Quiroga;R. Quian Quiroga;Gabriel Kreiman;Gabriel Kreiman;Christof Koch;Itzhak Fried;Itzhak Fried

  • A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

    T. Serre;M. Kouh;C. Cadieu;U. Knoblich

  • Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex

    Gabriel Kreiman;Chou P. Hung;Chou P. Hung;Alexander Kraskov;Rodrigo Quian Quiroga

  • Tetanic stimulation leads to increased accumulation of Ca(2+)/calmodulin-dependent protein kinase II via dendritic protein synthesis in hippocampal neurons.

    Yannan Ouyang;Alan Rosenstein;Gabriel Kreiman;Erin M. Schuman

  • A quantitative theory of immediate visual recognition.

    Thomas Serre;Gabriel Kreiman;Minjoon Kouh;Charles Cadieu

  • Single-neuron correlates of subjective vision in the human medial temporal lobe

    Gabriel Kreiman;Inbar Fried;Catherine Elizabeth Koch

  • Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex

    Daniela Tropea;Gabriel Kreiman;Alvin Lyckman;Alvin Lyckman;Sayan Mukherjee;Sayan Mukherjee

  • Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.

    Carlos R. Ponce;Carlos R. Ponce;Will Xiao;Peter F. Schade;Till S. Hartmann

  • Recurrent computations for visual pattern completion.

    Hanlin Tang;Martin Schrimpf;William Lotter;Charlotte Moerman

  • Neurons detect cognitive boundaries to structure episodic memories in humans

    Unknown

  • Unsupervised Learning of Visual Structure using Predictive Generative Networks

    William Lotter;Gabriel Kreiman;David D. Cox

Frequent Co-Authors

Joseph R. Madsen
Joseph R. Madsen Boston Children's Hospital
Christof Koch
Christof Koch Allen Institute for Brain Science
Itzhak Fried
Itzhak Fried University of California, Los Angeles
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital
Nathan E. Crone
Nathan E. Crone Johns Hopkins University
Hesheng Liu
Hesheng Liu Peking University
Margaret S. Livingstone
Margaret S. Livingstone Harvard University

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Related Online Degrees & Career Pathways

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