World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
60
Citations
17943
World Ranking
2135
National Ranking
36

Research.com Recognitions

  • 2019 - Fellow of Alfred P. Sloan Foundation

Overview

Daniel Huber is affiliated with the University of Geneva in Switzerland and specializes in Neuroscience, with a research focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, and Biophysics.

The scientist's main research topics include:

  • Neural dynamics and brain function
  • Neurobiology and Insect Physiology Research
  • Visual perception and processing mechanisms
  • Tactile and Sensory Interactions
  • Motor Control and Adaptation
  • Cell Image Analysis Techniques
  • Photoreceptor and optogenetics research

Key publications by Daniel Huber include:

  • EthoLoop: automated closed-loop neuroethology in naturalistic environments, 2020, Nature Methods
  • Wireless closed-loop optogenetics across the entire dorsoventral spinal cord in mice, 2021, Nature Biotechnology
  • Temporal controls over inter-areal cortical projection neuron fate diversity, 2021, Nature
  • Orientation Preference Maps in Microcebus murinus Reveal Size-Invariant Design Principles in Primate Visual Cortex, 2020, Current Biology
  • A common computational principle for vibrotactile pitch perception in mouse and human, 2021, Nature Communications

Frequent co-authors with whom Daniel Huber has published multiple papers are:

  • Kuo-Sheng Lee (8 publications)
  • Ali Nourizonoz (6 publications)
  • Chun Lum Andy Ho (6 publications)
  • Dominica de Thomas Wagner (6 publications)
  • Mario Prsa (5 publications)

The most common venues for publishing this scientist's work include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 10 publications
  • Nature Methods with 2 publications
  • Nature Biotechnology with 1 publication
  • Nature with 1 publication
  • Current Biology with 1 publication

Daniel Huber was recognized as a Fellow of the Alfred P. Sloan Foundation in 2019.

Best Publications

  • Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators

    Lin Tian;S Andrew Hires;Tianyi Mao;Daniel Huber

  • Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

    Pingbo Tang;Daniel Huber;Burcu Akinci;Robert Lipman

  • Recognizing Objects in Range Data Using Regional Point Descriptors

    Andrea Frome;Daniel Huber;Ravi Kolluri;Thomas Bülow

  • Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data

    Xuehan Xiong;Antonio Adan;Burcu Akinci;Daniel Huber

  • Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice

    Daniel Huber;Daniel Huber;Leopoldo Petreanu;Leopoldo Petreanu;Nima Ghitani;Sachin P. Ranade

  • Nonlinear dendritic integration of sensory and motor input during an active sensing task

    Ning Long Xu;Mark T. Harnett;Stephen R. Williams;Daniel Huber;Daniel Huber

  • Long-range neuronal circuits underlying the interaction between sensory and motor cortex.

    Tianyi Mao;Deniz Kusefoglu;Bryan M. Hooks;Daniel Huber

  • Multiple dynamic representations in the motor cortex during sensorimotor learning

    Daniel Huber;D.A. Gutnisky;S. Peron;D. H. O’Connor

  • Natural terrain classification using three-dimensional ladar data for ground robot mobility

    Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert

  • Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice

    Daniel H. O'Connor;Simon P. Peron;Daniel Huber;Karel Svoboda

  • Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.

    Takaki Komiyama;Takashi R. Sato;Daniel H. Oconnor;Ying Xin Zhang;Ying Xin Zhang

  • Fully automatic registration of multiple 3D data sets

    Daniel F. Huber;Martial Hebert

  • A formalism for utilization of sensor systems and integrated project models for active construction quality control

    Burcu Akinci;Frank Boukamp;Chris Gordon;Daniel Huber

  • Activity in motor–sensory projections reveals distributed coding in somatosensation

    Leopoldo Petreanu;Diego A. Gutnisky;Daniel Huber;Daniel Huber;Ning Long Xu

  • Natural terrain classification using 3-d ladar data

    N. Vandapel;D.F. Huber;A. Kapuria;M. Hebert

  • Neural coding during active somatosensation revealed using illusory touch

    Daniel H. O'Connor;S. Andrew Hires;Zengcai V. Guo;Nuo Li

  • Laminar Analysis of Excitatory Local Circuits in Vibrissal Motor and Sensory Cortical Areas

    B. M. Hooks;B. M. Hooks;S. Andrew Hires;Ying Xin Zhang;Ying Xin Zhang;Daniel Huber

  • Real-time topometric localization

    Hernan Badino;Daniel Huber;Takeo Kanade

  • Parts-based 3D object classification

    D. Huber;A. Kapuria;R. Donamukkala;M. Hebert

  • 3D Reconstruction of Interior Wall Surfaces under Occlusion and Clutter

    Antonio Adan;Daniel Huber

Frequent Co-Authors

Burcu Akinci
Burcu Akinci Carnegie Mellon University
Karel Svoboda
Karel Svoboda Allen Institute
Martial Hebert
Martial Hebert Carnegie Mellon University
Daniel T. O'Connor
Daniel T. O'Connor University of California, San Diego
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Lev S. Tsimring
Lev S. Tsimring University of California, San Diego
David W. McComb
David W. McComb The Ohio State University
Owen Carmichael
Owen Carmichael Pennington Biomedical Research Center
Alonzo Kelly
Alonzo Kelly Carnegie Mellon University
Hamish L. Fraser
Hamish L. Fraser The Ohio State University

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