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Taylor Howard Newton

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  11
Citations -  1663

Taylor Howard Newton is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Population & Null model. The author has an hindex of 5, co-authored 11 publications receiving 1224 citations. Previous affiliations of Taylor Howard Newton include ETH Zurich.

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Reconstruction and Simulation of Neocortical Microcircuitry

Henry Markram, +92 more
- 08 Oct 2015 - 
TL;DR: A first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat is presented, finding a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms.
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Undulatory Locomotion of Magnetic Multilink Nanoswimmers

TL;DR: This work demonstrates for the first time planar undulations of composite multilink nanowire-based chains induced by a planar-oscillating magnetic field and enables tuning the geometrical and material properties to specific applications.
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Caries Detection with Near-Infrared Transillumination Using Deep Learning:

TL;DR: This work demonstrates that a deep learning approach for the analysis of dental images holds promise for increasing the speed and accuracy of caries detection, supporting the diagnoses of dental practitioners, and improving patient outcomes.
Posted Content

Automated point-neuron simplification of data-driven microcircuit models

TL;DR: A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention, found to be slightly more sub-critical than the reference, with otherwise good agreement for both quantitative and qualitative validations.
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Artificial Tactile Sensing of Position and Slip Speed by Exploiting Geometrical Features

TL;DR: An artificial ridged skin that detects the position and speed of a slipping object using a single force sensor and features parallel ridges arranged in a nonuniform configuration opens a promising avenue for robust and energy-efficient tactile sensing systems.