Institution
University of Zurich
Education•Zurich, Switzerland•
About: University of Zurich is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Population & Medicine. The organization has 50842 authors who have published 124042 publications receiving 5304521 citations. The organization is also known as: UZH & Uni Zurich.
Topics: Population, Medicine, Context (language use), Gene, Transplantation
Papers published on a yearly basis
Papers
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University College London1, Canadian Institute for Advanced Research2, Université de Montréal3, University of Oxford4, Stanford University5, Imperial College London6, University of Bern7, University of Bristol8, Google9, University of Toronto10, Cold Spring Harbor Laboratory11, Columbia University12, University of Ottawa13, McGill University14, Foundation for Research & Technology – Hellas15, Netherlands Institute for Neuroscience16, University of Zurich17, University of Pennsylvania18, Friedrich Miescher Institute for Biomedical Research19, York University20
TL;DR: It is argued that a deep network is best understood in terms of components used to design it—objective functions, architecture and learning rules—rather than unit-by-unit computation.
Abstract: Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In artificial neural networks, the three components specified by design are the objective functions, the learning rules and the architectures. With the growing success of deep learning, which utilizes brain-inspired architectures, these three designed components have increasingly become central to how we model, engineer and optimize complex artificial learning systems. Here we argue that a greater focus on these components would also benefit systems neuroscience. We give examples of how this optimization-based framework can drive theoretical and experimental progress in neuroscience. We contend that this principled perspective on systems neuroscience will help to generate more rapid progress.
633 citations
TL;DR: Evidence from various balanced virus-host relationships illustrates that immunological specificity and memory may best be defined biologically and that the mature immune system does not discriminate between “self” and “nonself.”
Abstract: The survival of viruses depends on the survival of susceptible hosts. The vertebrate immune system and viruses have therefore coevolved complementary facets. Evidence from various balanced virus-host relationships illustrates that immunological specificity and memory may best be defined biologically and that the mature immune system does not discriminate between "self" and "nonself." Rather, B cells distinguish antigen patterns, whereas T cell responses depend on localization, transport, and kinetics of antigen within lymphatic organs.
633 citations
Rothamsted Research1, University of Manitoba2, University of Zurich3, Pasteur Institute4, Aix-Marseille University5, University of Rostock6, Pohang University of Science and Technology7, Purdue University8, University of Pennsylvania9, University of British Columbia10, University of Wisconsin-Madison11, Kyoto University12
TL;DR: The ABC superfamily comprises both membrane-bound transporters and soluble proteins involved in a broad range of processes, many of which are of considerable agricultural, biotechnological and medical potential.
632 citations
TL;DR: It is suggested that smo encodes a receptor for the Hh signal, which is downstream of or in parallel to Patched, an antagonist of the HH signal.
632 citations
University of Paderborn1, University of Zurich2, Lawrence Berkeley National Laboratory3, IBM4, McGill University5, ETH Zurich6, Victoria University, Australia7, Aalto University8, University of Regensburg9, University of Lincoln10, Intel11, Pacific Northwest National Laboratory12, University of Insubria13, Bosch14, Science and Technology Facilities Council15, Paul Scherrer Institute16
TL;DR: This review revisits the main capabilities of CP2K to perform efficient and accurate electronic structure simulations and puts the emphasis on density functional theory and multiple post-Hartree-Fock methods using the Gaussian and plane wave approach and its augmented all-electron extension.
Abstract: CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular and biological systems. It is especially aimed at massively-parallel and linear-scaling electronic structure methods and state-of-the-art ab-initio molecular dynamics simulations. Excellent performance for electronic structure calculations is achieved using novel algorithms implemented for modern high-performance computing systems. This review revisits the main capabilities of CP2k to perform efficient and accurate electronic structure simulations. The emphasis is put on density functional theory and multiple post-Hartree-Fock methods using the Gaussian and plane wave approach and its augmented all-electron extension.
632 citations
Authors
Showing all 51384 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Richard A. Flavell | 231 | 1328 | 205119 |
| Peer Bork | 206 | 697 | 245427 |
| Thomas C. Südhof | 191 | 653 | 118007 |
| Stuart H. Orkin | 186 | 715 | 112182 |
| Ruedi Aebersold | 182 | 879 | 141881 |
| Tadamitsu Kishimoto | 181 | 1067 | 130860 |
| Stanley B. Prusiner | 168 | 745 | 97528 |
| Yang Yang | 164 | 2704 | 144071 |
| Tomas Hökfelt | 158 | 1033 | 95979 |
| Dan R. Littman | 157 | 426 | 107164 |
| Hans Lassmann | 155 | 724 | 79933 |
| Matthias Egger | 152 | 901 | 184176 |
| Lorenzo Bianchini | 152 | 1516 | 106970 |
| Robert M. Strieter | 151 | 612 | 73040 |
| Ashok Kumar | 151 | 5654 | 164086 |