Connectomic reconstruction of the inner plexiform layer in the mouse retina

Helmstaedter, Moritz; Briggman, Kevin L.; Turaga, Srinivas C.; Jain, Viren; Seung, H. Sebastian; Denk, Winfried

doi:10.1038/nature12346

Cited by 964 publications

(1,206 citation statements)

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“…Helmstaedter and Winfried Denk -director of the Max Planck Institute for Neurobiology in Martinsried -have published the largest microconnectome reported so far: a cube of mouse retina measuring 100 micrometres to a side and encompassing about 1,000 neurons and 250,000 synapses 5 . That was about twomillionths of the mouse brain.…”

Section: Zooming Inmentioning

confidence: 99%

Connectomes make the map

Dance¹

2015

Nature

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Section: Zooming Inmentioning

confidence: 99%

Connectomes make the map

Dance¹

2015

Nature

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“…When the data is high dimensional data or structure is very complex, deep learning has been proved very effective in dealing with the data, so it is applied in many fields, such as science, enterprise, government and so on. In addition to the image recognition [10][11][12] and speech recognition [13][14][15] to beat other machine learning techniques, in the prediction of potential drug molecules [16], analysis of particle accelerator data and the reconstruction of brain circuits [17], the deep learning method has also defeated other machine learning techniques. Perhaps more surprising is that in some important subjects of natural language understanding, particularly theme classification, sentiment analysis, question-answering system and machine translation, deep learning method also brings encouraging results.…”

Section: The Development Of Deep Learningmentioning

confidence: 99%

Research on Patent Document Classification Based on Deep Learning

Xia¹,

Li²,

Lv³

2016

Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

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Abstract-Science and technology can be called the first productive force of development, and the patent as an important source of science and technology innovation is getting more and more attention. With the increase in the number of patent applications, followed is patent document classification problem. At present, the patent document classification include artificial method and automatic method, but mostly using the artificial method, which resulted in the classification process is time consuming and not efficient, so the research of patent document classification has the practical significance. In this paper, based on the premise of deep learning, the patent document classification problem is studied.

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“…33,34 For certain tasks, human creativity and judgment can outperform automated classication and search algorithms. Recent years have seen exciting mergers between interactive molecular simulation and ideas within crowdsourced human-computer interaction.…”

Section: Introductionmentioning

confidence: 99%

A GPU-accelerated immersive audio-visual framework for interaction with molecular dynamics using consumer depth sensors

et al. 2014

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A GPU-accelerated immersive audiovisual framework for interaction with molecular dynamics using consumer depth sensors. Faraday Discussions, 169. pp. 63-87. ISSN 1359-6640 Available from: http://eprints.uwe.ac.uk/23115We recommend you cite the published version. The publisher's URL is: http://dx.doi.org/10.1039/C4FD00008K Refereed: Yes First published online 19 Mar 2014Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited. UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights.UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. PLEASE SCROLL DOWN FOR TEXT.A GPU-accelerated immersive audio-visual framework for interaction with molecular dynamics using consumer depth sensors † With advances in computational power, the rapidly growing role of computational/ simulation methodologies in the physical sciences, and the development of new human-computer interaction technologies, the field of interactive molecular dynamics seems destined to expand. In this paper, we describe and benchmark the software algorithms and hardware setup for carrying out interactive molecular dynamics utilizing an array of consumer depth sensors. The system works by interpreting the human form as an energy landscape, and superimposing this landscape on a molecular dynamics simulation to chaperone the motion of the simulated atoms, affecting both graphics and sonified simulation data. GPU acceleration has been key to achieving our target of 60 frames per second (FPS), giving an extremely fluid interactive experience. GPU acceleration has also allowed us to scale the system for use in immersive 360 spaces with an array of up to ten depth sensors, allowing several users to simultaneously chaperone the dynamics. The flexibility of our platform for carrying out molecular dynamics simulations has been considerably enhanced by wrappers that facilitate fast communication with a portable selection of GPU-accelerated molecular force evaluation routines. In this paper, we describe a 360 atmospheric molecular dynamics simulation we have run in a chemistry/physics education context. We also describe initial tests in which users have been able to chaperone the dynamics of 10-alanine peptide embedded in an explicit water solvent. Using this system, both expert and novice users have been able to accelerate peptide rare event dynamics by 3-4 orders of magnitude.

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Connectomic reconstruction of the inner plexiform layer in the mouse retina

Cited by 964 publications

References 50 publications

Connectomes make the map

Connectomes make the map

Research on Patent Document Classification Based on Deep Learning

A GPU-accelerated immersive audio-visual framework for interaction with molecular dynamics using consumer depth sensors

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