11![Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions Alberto Paccanaro, Geoffrey E. Hinton Gatsby Computational Neuroscience Unit University College London, 17 Queen Sq Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions Alberto Paccanaro, Geoffrey E. Hinton Gatsby Computational Neuroscience Unit University College London, 17 Queen Sq](https://www.pdfsearch.io/img/719057449b92d3b34c360eb5fdff5a08.jpg) | Add to Reading ListSource URL: www.cs.toronto.edu- Date: 2003-12-31 13:07:05
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12![Products of Experts Geo
rey E. Hinton Gatsby Computational Neuroscience Unit University College London 17 Queen Square, London WC1N 3AR, U.K. Products of Experts Geo
rey E. Hinton Gatsby Computational Neuroscience Unit University College London 17 Queen Square, London WC1N 3AR, U.K.](https://www.pdfsearch.io/img/3018adfc05d3216a1e92bcf158848a3c.jpg) | Add to Reading ListSource URL: www.cs.toronto.edu- Date: 2002-01-22 14:39:25
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13![QIP SHORT TERM COURSE ON Computational Biology and Neuroscience June 13th- 18th, 2016 Organised By QIP SHORT TERM COURSE ON Computational Biology and Neuroscience June 13th- 18th, 2016 Organised By](https://www.pdfsearch.io/img/2b22e73fb8ae7730a22f0d9ee3fb20ed.jpg) | Add to Reading ListSource URL: www.iitbhu.ac.in- Date: 2016-05-11 02:42:24
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14![Spiking Boltzmann Machines Geo
rey E. Hinton Gatsby Computational Neuroscience Unit University College London London WC1N 3AR, UK Spiking Boltzmann Machines Geo
rey E. Hinton Gatsby Computational Neuroscience Unit University College London London WC1N 3AR, UK](https://www.pdfsearch.io/img/bf7a3c21a8dac3f43082cae3635f6a3d.jpg) | Add to Reading ListSource URL: www.cs.toronto.edu- Date: 2002-01-22 14:40:39
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15![8914 • The Journal of Neuroscience, June 10, 2015 • 35(23):8914 – 8924 Neurobiology of Disease Computational Modeling of Resting-State Activity Demonstrates Markers of Normalcy in Children with 8914 • The Journal of Neuroscience, June 10, 2015 • 35(23):8914 – 8924 Neurobiology of Disease Computational Modeling of Resting-State Activity Demonstrates Markers of Normalcy in Children with](https://www.pdfsearch.io/img/f5639c74f8761a12c449a39e0fc927b0.jpg) | Add to Reading ListSource URL: hpc.cns.upf.edu- Date: 2016-06-06 04:15:15
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16![Brainstorms - Eine Einf¨uhrung in die Computational Neuroscience VersionOktober 2003 Dominik Schnitzer1 Brainstorms - Eine Einf¨uhrung in die Computational Neuroscience VersionOktober 2003 Dominik Schnitzer1](https://www.pdfsearch.io/img/a04a852f1a612ff7d21f70790c823687.jpg) | Add to Reading ListSource URL: www.schnitzer.at- Date: 2009-08-25 09:16:23
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17![How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK](https://www.pdfsearch.io/img/5fe0312bf2ea016b19fae99294c11301.jpg) | Add to Reading ListSource URL: www.kyb.tuebingen.mpg.de- Date: 2012-11-21 11:16:42
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18![Unlocking neural population non-stationarity using a hierarchical dynamics model Mijung Park1 , Gergo Bohner1 , Jakob H. Macke2 1 Gatsby Computational Neuroscience Unit, University College London 2 Unlocking neural population non-stationarity using a hierarchical dynamics model Mijung Park1 , Gergo Bohner1 , Jakob H. Macke2 1 Gatsby Computational Neuroscience Unit, University College London 2](https://www.pdfsearch.io/img/82b8e882b098a16c389c60cb1e17c7e7.jpg) | Add to Reading ListSource URL: www.mackelab.org- Date: 2016-08-04 15:02:45
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19![Empirical models of spiking in neural populations ¨ Lars Busing Gatsby Computational Neuroscience Unit University College London, UK Empirical models of spiking in neural populations ¨ Lars Busing Gatsby Computational Neuroscience Unit University College London, UK](https://www.pdfsearch.io/img/22e68d5645f90f4fb3a2680e7e16b8e9.jpg) | Add to Reading ListSource URL: www.mackelab.org- Date: 2016-08-04 15:02:45
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20![Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen† Deep LAC: Deep Localization, Alignment and Classification for Fine-grained Recognition Di Lin† † Xiaoyong Shen†](https://www.pdfsearch.io/img/10a562c8185dec3f93f752aa76622b3c.jpg) | Add to Reading ListSource URL: xiaoyongshen.meLanguage: English - Date: 2016-08-15 22:44:00
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