2019 - Fellow of Alfred P. Sloan Foundation
Daniel Huber combines Optoelectronics and Light-emitting diode in his studies. His multidisciplinary approach integrates Light-emitting diode and Optoelectronics in his work. His research combines Premovement neuronal activity and Neuroscience. Quantum mechanics and Computational physics are two areas of study in which Daniel Huber engages in interdisciplinary research. While working on this project, Daniel Huber studies both Computational physics and Quantum mechanics. He undertakes multidisciplinary studies into Dielectric spectroscopy and Dielectric in his work. He connects Dielectric with Dielectric spectroscopy in his research. He performs multidisciplinary study in the fields of Physical chemistry and Spectroscopy via his papers. Daniel Huber incorporates Spectroscopy and Physical chemistry in his studies.
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Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators
Lin Tian;S Andrew Hires;Tianyi Mao;Daniel Huber.
Nature Methods (2009)
Recognizing Objects in Range Data Using Regional Point Descriptors
Andrea Frome;Daniel Huber;Ravi Kolluri;Thomas Bülow.
european conference on computer vision (2004)
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.
Automation in Construction (2010)
Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data
Xuehan Xiong;Antonio Adan;Burcu Akinci;Daniel Huber.
Automation in Construction (2013)
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.
Natural terrain classification using three-dimensional ladar data for ground robot mobility
Jean-François Lalonde;Nicolas Vandapel;Daniel F. Huber;Martial Hebert.
Journal of Field Robotics (2006)
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
Daniel H. O'Connor;Simon P. Peron;Daniel Huber;Karel Svoboda.
Multiple dynamic representations in the motor cortex during sensorimotor learning
Daniel Huber;D.A. Gutnisky;S. Peron;D. H. O’Connor.
Fully automatic registration of multiple 3D data sets
Daniel F. Huber;Martial Hebert.
Image and Vision Computing (2003)
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.
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