P
Parviz Ghaderi
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 9
Citations - 208
Parviz Ghaderi is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: System identification & Support vector machine. The author has an hindex of 5, co-authored 7 publications receiving 115 citations. Previous affiliations of Parviz Ghaderi include Shahid Beheshti University & University of Isfahan.
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Journal ArticleDOI
A community-based transcriptomics classification and nomenclature of neocortical cell types
Rafael Yuste,Michael Hawrylycz,Nadia Aalling,Argel Aguilar-Valles,Detlev Arendt,Rubén Armañanzas Arnedillo,Giorgio A. Ascoli,Concha Bielza,VS Bokharaie,Tobias Bergmann,Irina Bystron,Marco Capogna,YoonJeung Chang,Ann M. Clemens,Christiaan P. J. de Kock,Javier DeFelipe,Sandra E. Dos Santos,Keagan Dunville,Dirk Feldmeyer,Richárd Fiáth,Gordon Fishell,Angelica Foggetti,Xuefan Gao,Parviz Ghaderi,Natalia A. Goriounova,Onur Güntürkün,Kenta Hagihara,Vanessa Jane Hall,Moritz Helmstaedter,Suzana Herculano,Markus M. Hilscher,Hajime Hirase,Jens Hjerling-Leffler,Rebecca D. Hodge,Josh Huang,Rafiq Huda,Konstantin Khodosevich,Ole Kiehn,Henner Koch,Eric S. Kuebler,Malte Kühnemund,Pedro Larrañaga,Boudewijn P. F. Lelieveldt,Emma Louise Louth,Jan H. Lui,Huibert D. Mansvelder,Oscar Marín,Julio Martinez-Trujillo,Homeira Moradi Chameh,Alok Nath,Pavel Němec,Netanel Ofer,Ulrich Pfisterer,Samuel Pontes,William John Redmond,Jean Rossier,Joshua R. Sanes,Richard H. Scheuermann,Esther Serrano-Saiz,Jochen F. Steiger,Peter Somogyi,Gábor Tamás,Andreas S. Tolias,Maria Antonietta Tosches,Miguel Turrero García,Hermany Munguba Vieira,Christian Wozny,Thomas V. Wuttke,Liu Yong,Juan Yuan,Hongkui Zeng,Ed S. Lein +71 more
TL;DR: This work proposes the adoption of a transcriptome-based taxonomy of cell types for mammalian neocortex that should be hierarchical and use a standardized nomenclature, and could serve as an example for cell type atlases in other parts of the body.
Journal ArticleDOI
Muscle Activity Map Reconstruction from High Density Surface EMG Signals With Missing Channels Using Image Inpainting and Surface Reconstruction Methods
TL;DR: The proposed reconstruction algorithms could be promising new tools for reconstructing muscle activity maps in real-time applications if proper reconstruction methods could recover the information of low-quality recorded channels in HDsEMG signals.
Journal ArticleDOI
Electrophysiological Profiling of Neocortical Neural Subtypes: A Semi-Supervised Method Applied to in vivo Whole-Cell Patch-Clamp Data.
TL;DR: A novel semi-supervised classification method based on waveform shape of neurons' spikes using in vivo whole-cell patch-clamp recordings is proposed, which is a promising new tool in recognizing cell's type with high accuracy in laboratories using in vitro/vitro whole- cell patch-Clamp recording technique.
Proceedings ArticleDOI
Hand kinematics estimation to control prosthetic devices: a nonlinear approach for simultaneous and proportional estimation of 15 DoFs
TL;DR: Generalized Regression Neural Network (GRNN), a non-linear system identification approach, is applied to estimate fingers kinematics (15 Degrees of Freedom) from sEMG signals to provide fast, accurate, and intuitive simultaneous and proportional control strategy for myoelectric hand prostheses.
Posted Content
A community-based transcriptomics classification and nomenclature of neocortical cell types.
Rafael Yuste,Michael Hawrylycz,Nadia Aalling,Detlev Arendt,Rubén Armañanzas,Giorgio A. Ascoli,Concha Bielza,VS Bokharaie,Tobias Bergmann,Irina Bystron,Marco Capogna,YoonJeung Chang,Ann M. Clemens,Christiaan P. J. de Kock,Javier DeFelipe,Sandra E. Dos Santos,Keagan Dunville,Dirk Feldmeyer,Richárd Fiáth,Gordon Fishell,Angelica Foggetti,Xuefan Gao,Parviz Ghaderi,Onur Güntürkün,Vanessa Jane Hall,Moritz Helmstaedter,Suzana Herculano-Houzel,Markus M. Hilscher,Hajime Hirase,Jens Hjerling-Leffler,Rebecca D. Hodge,Z. Josh Huang,Rafiq Huda,Yuan Juan,Konstantin Khodosevich,Ole Kiehn,Henner Koch,Eric S. Kuebler,Malte Kühnemund,Pedro Larrañaga,Boudewijn P. F. Lelieveldt,Emma Louise Louth,Jan H. Lui,Huibert D. Mansvelder,Oscar Marín,Julio Martinez-Trujillo,Homeira Moradi,Natalia A. Goriounova,Alok Nath Mohapatra,Pavel Němec,Netanel Ofer,Ulrich Pfisterer,Samuel Pontes,William John Redmond,Jean Rossier,Joshua R. Sanes,Richard H. Scheuermann,Esther Serrano Saiz,Peter Somogyi,Gábor Tamás,Andreas S. Tolias,Maria Antonietta Tosches,Miguel Turrero García,Argel Aguilar-Valles,Hermany Munguba,Christian Wozny,Thomas V. Wuttke,Liu Yong,Hongkui Zeng,Ed S. Lein +69 more
TL;DR: In this paper, the authors adopt a transcriptome-based taxonomy of the cell types in the adult mammalian neocortex, which is configured to flexibly incorporate new data from multiple approaches, developmental stages and a growing number of species, enabling improvement and revision of the classification.