�ݺ�ߣshows by User: NicolasRougier1

�ݺ�ߣshows by User: NicolasRougier1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: NicolasRougier1 / Tue, 08 Jun 2021 10:42:40 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: NicolasRougier1 The Art of Braincrafting /slideshow/the-art-of-braincrafting/249189043 encods2021-theartofbraincrafting-210608104240
Brain research has made tremendous progress over the last few decades in nearly all areas of investigation and yet, the comprehension of cognition still eludes us because most high-level functions, such as decision making, results from the complex and dynamic interaction between several structures. On the one hand we have a fragmented collection of computational models whose unification is out of reach, on the other hand we have holistic approaches whose complexity obliterates any hope of comprehension. Informed by neuroscience and guided by philosophy, I propose to build the foundations of a research program in computational neuroscience in order to explain how cognition develop in most vertebrates, while guaranteeing its intelligibility. ]]>
Brain research has made tremendous progress over the last few decades in nearly all areas of investigation and yet, the comprehension of cognition still eludes us because most high-level functions, such as decision making, results from the complex and dynamic interaction between several structures. On the one hand we have a fragmented collection of computational models whose unification is out of reach, on the other hand we have holistic approaches whose complexity obliterates any hope of comprehension. Informed by neuroscience and guided by philosophy, I propose to build the foundations of a research program in computational neuroscience in order to explain how cognition develop in most vertebrates, while guaranteeing its intelligibility. ]]> Tue, 08 Jun 2021 10:42:40 GMT /slideshow/the-art-of-braincrafting/249189043 NicolasRougier1@slideshare.net(NicolasRougier1) The Art of Braincrafting NicolasRougier1 Brain research has made tremendous progress over the last few decades in nearly all areas of investigation and yet, the comprehension of cognition still eludes us because most high-level functions, such as decision making, results from the complex and dynamic interaction between several structures. On the one hand we have a fragmented collection of computational models whose unification is out of reach, on the other hand we have holistic approaches whose complexity obliterates any hope of comprehension. Informed by neuroscience and guided by philosophy, I propose to build the foundations of a research program in computational neuroscience in order to explain how cognition develop in most vertebrates, while guaranteeing its intelligibility. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/encods2021-theartofbraincrafting-210608104240-thumbnail.jpg?width=120&height=120&fit=bounds" /> Brain research has made tremendous progress over the last few decades in nearly all areas of investigation and yet, the comprehension of cognition still eludes us because most high-level functions, such as decision making, results from the complex and dynamic interaction between several structures. On the one hand we have a fragmented collection of computational models whose unification is out of reach, on the other hand we have holistic approaches whose complexity obliterates any hope of comprehension. Informed by neuroscience and guided by philosophy, I propose to build the foundations of a research program in computational neuroscience in order to explain how cognition develop in most vertebrates, while guaranteeing its intelligibility.

The Art of Braincrafting from Nicolas Rougier

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0 Neural fields, a cognitive approach /slideshow/neural-fields-a-cognitive-approach/139684753 talk-190405095541
Attention, Decision & Plasticity]]>
Attention, Decision & Plasticity]]> Fri, 05 Apr 2019 09:55:41 GMT /slideshow/neural-fields-a-cognitive-approach/139684753 NicolasRougier1@slideshare.net(NicolasRougier1) Neural fields, a cognitive approach NicolasRougier1 Attention, Decision & Plasticity <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/talk-190405095541-thumbnail.jpg?width=120&height=120&fit=bounds" /> Attention, Decision & Plasticity

Neural fields, a cognitive approach from Nicolas Rougier

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0 SIGGRAPH 2018 - Digital typography /slideshow/siggraph-2018-digital-typography/110385070 digitaltypography-180818062537
This course is an introduction to digital typography rendering, providing key concepts of typography as well as introducing several computer graphics techniques to render text, from the oldest and most common techniques (texture based) to the latest methods taking full advantage of shaders with quasi-flawless rendering.]]>
This course is an introduction to digital typography rendering, providing key concepts of typography as well as introducing several computer graphics techniques to render text, from the oldest and most common techniques (texture based) to the latest methods taking full advantage of shaders with quasi-flawless rendering.]]> Sat, 18 Aug 2018 06:25:37 GMT /slideshow/siggraph-2018-digital-typography/110385070 NicolasRougier1@slideshare.net(NicolasRougier1) SIGGRAPH 2018 - Digital typography NicolasRougier1 This course is an introduction to digital typography rendering, providing key concepts of typography as well as introducing several computer graphics techniques to render text, from the oldest and most common techniques (texture based) to the latest methods taking full advantage of shaders with quasi-flawless rendering. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/digitaltypography-180818062537-thumbnail.jpg?width=120&height=120&fit=bounds" /> This course is an introduction to digital typography rendering, providing key concepts of typography as well as introducing several computer graphics techniques to render text, from the oldest and most common techniques (texture based) to the latest methods taking full advantage of shaders with quasi-flawless rendering.

SIGGRAPH 2018 - Digital typography from Nicolas Rougier

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0 Machine learning /slideshow/machine-learning-107062104/107062104 machine-learning-180723052916
Machine learning for business explained in 10 slides.]]>
Machine learning for business explained in 10 slides.]]> Mon, 23 Jul 2018 05:29:16 GMT /slideshow/machine-learning-107062104/107062104 NicolasRougier1@slideshare.net(NicolasRougier1) Machine learning NicolasRougier1 Machine learning for business explained in 10 slides. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machine-learning-180723052916-thumbnail.jpg?width=120&height=120&fit=bounds" /> Machine learning for business explained in 10 slides.

Machine learning from Nicolas Rougier

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0 Modern OpenGL scientific visualization /slideshow/opengl-scientific-visualization/69209175 talkcopy-161117204354
OpenGL scientific visualization in python. See https://glumpy.github.io]]>
OpenGL scientific visualization in python. See https://glumpy.github.io]]> Thu, 17 Nov 2016 20:43:54 GMT /slideshow/opengl-scientific-visualization/69209175 NicolasRougier1@slideshare.net(NicolasRougier1) Modern OpenGL scientific visualization NicolasRougier1 OpenGL scientific visualization in python. See https://glumpy.github.io <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/talkcopy-161117204354-thumbnail.jpg?width=120&height=120&fit=bounds" /> OpenGL scientific visualization in python. See https://glumpy.github.io

Modern OpenGL scientific visualization from Nicolas Rougier

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0 Open science /slideshow/open-science-69206038/69206038 openscience-161117190957
Open Science from a practitioner perspective]]>
Open Science from a practitioner perspective]]> Thu, 17 Nov 2016 19:09:57 GMT /slideshow/open-science-69206038/69206038 NicolasRougier1@slideshare.net(NicolasRougier1) Open science NicolasRougier1 Open Science from a practitioner perspective <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openscience-161117190957-thumbnail.jpg?width=120&height=120&fit=bounds" /> Open Science from a practitioner perspective

Open science from Nicolas Rougier

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0 On ne voit que ce que l’on regarde (French) https://fr.slideshare.net/slideshow/on-ne-voit-que-ce-que-lon-regarde-french/69204923 talk-v2-161117183933
On ne voit que ce que l’on regarde]]>
On ne voit que ce que l’on regarde]]> Thu, 17 Nov 2016 18:39:33 GMT https://fr.slideshare.net/slideshow/on-ne-voit-que-ce-que-lon-regarde-french/69204923 NicolasRougier1@slideshare.net(NicolasRougier1) On ne voit que ce que l’on regarde (French) NicolasRougier1 On ne voit que ce que l’on regarde <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/talk-v2-161117183933-thumbnail.jpg?width=120&height=120&fit=bounds" /> On ne voit que ce que l’on regarde

from Nicolas Rougier

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0 Cybercriminalité (French) https://fr.slideshare.net/slideshow/cybercriminalite-french/69204085 cybercriminalite-161117181450
Contes et légendes du cyberespace]]>
Contes et légendes du cyberespace]]> Thu, 17 Nov 2016 18:14:50 GMT https://fr.slideshare.net/slideshow/cybercriminalite-french/69204085 NicolasRougier1@slideshare.net(NicolasRougier1) Cybercriminalité (French) NicolasRougier1 Contes et légendes du cyberespace <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cybercriminalite-161117181450-thumbnail.jpg?width=120&height=120&fit=bounds" /> Contes et légendes du cyberespace

from Nicolas Rougier

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0 Where is my mind? /slideshow/where-is-my-mind-69203956/69203956 whereismymind-161117181026
How embodiment redefines the limits of the model and the role of the observer]]>
How embodiment redefines the limits of the model and the role of the observer]]> Thu, 17 Nov 2016 18:10:26 GMT /slideshow/where-is-my-mind-69203956/69203956 NicolasRougier1@slideshare.net(NicolasRougier1) Where is my mind? NicolasRougier1 How embodiment redefines the limits of the model and the role of the observer <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whereismymind-161117181026-thumbnail.jpg?width=120&height=120&fit=bounds" /> How embodiment redefines the limits of the model and the role of the observer

Where is my mind? from Nicolas Rougier

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0 Scientific visualization /slideshow/scientific-visualization-69203008/69203008 scientificvisualization-161117174820
A 2h30 crash course on scientific visualization]]>
A 2h30 crash course on scientific visualization]]> Thu, 17 Nov 2016 17:48:20 GMT /slideshow/scientific-visualization-69203008/69203008 NicolasRougier1@slideshare.net(NicolasRougier1) Scientific visualization NicolasRougier1 A 2h30 crash course on scientific visualization <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scientificvisualization-161117174820-thumbnail.jpg?width=120&height=120&fit=bounds" /> A 2h30 crash course on scientific visualization

Scientific visualization from Nicolas Rougier

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0 ReScience /NicolasRougier1/rescience rescience-161117174116
ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results from the literature in your research, ReScience is the perfect place to publish your new implementation.]]>
ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results from the literature in your research, ReScience is the perfect place to publish your new implementation.]]> Thu, 17 Nov 2016 17:41:16 GMT /NicolasRougier1/rescience NicolasRougier1@slideshare.net(NicolasRougier1) ReScience NicolasRougier1 ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results from the literature in your research, ReScience is the perfect place to publish your new implementation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rescience-161117174116-thumbnail.jpg?width=120&height=120&fit=bounds" /> ReScience is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results from the literature in your research, ReScience is the perfect place to publish your new implementation.

ReScience from Nicolas Rougier

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0 One critic, two actors, one decision /slideshow/one-critic-two-actors-69201950/69201950 onecritic-twoactors-161117172645
" ...we managed to explicitly dissociate reinforcement learning from Hebbian learning and demonstrated covert learning inside the basal ganglia. These results suggest that a behavioral decision results from both the cooperation (acquisition) and competition (expression) of two distinct but entangled memory systems, the goal-directed system and the habit system that may represent the two ends of the same graded phenomenon."]]>
" ...we managed to explicitly dissociate reinforcement learning from Hebbian learning and demonstrated covert learning inside the basal ganglia. These results suggest that a behavioral decision results from both the cooperation (acquisition) and competition (expression) of two distinct but entangled memory systems, the goal-directed system and the habit system that may represent the two ends of the same graded phenomenon."]]> Thu, 17 Nov 2016 17:26:45 GMT /slideshow/one-critic-two-actors-69201950/69201950 NicolasRougier1@slideshare.net(NicolasRougier1) One critic, two actors, one decision NicolasRougier1 " ...we managed to explicitly dissociate reinforcement learning from Hebbian learning and demonstrated covert learning inside the basal ganglia. These results suggest that a behavioral decision results from both the cooperation (acquisition) and competition (expression) of two distinct but entangled memory systems, the goal-directed system and the habit system that may represent the two ends of the same graded phenomenon." <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/onecritic-twoactors-161117172645-thumbnail.jpg?width=120&height=120&fit=bounds" /> " ...we managed to explicitly dissociate reinforcement learning from Hebbian learning and demonstrated covert learning inside the basal ganglia. These results suggest that a behavioral decision results from both the cooperation (acquisition) and competition (expression) of two distinct but entangled memory systems, the goal-directed system and the habit system that may represent the two ends of the same graded phenomenon."

One critic, two actors, one decision from Nicolas Rougier

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0 https://cdn.slidesharecdn.com/profile-photo-NicolasRougier1-48x48.jpg?cb=1623148896 Experienced research scientist in computational neuroscience, artificial intelligence and machine learning. Experienced developer in C/C++, python and OpenGL. Expert in scientific visualization. → http://www.labri.fr/perso/nrougier/ → https://github.com/rougier → http://rescience.github.io Full-time research scientist at INRIA (French National Institute for Research in Computer Science and Control). I'm working within the MNEMOSYNE project which lies at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases. http://www.labri.fr/perso/nrougier/ https://cdn.slidesharecdn.com/ss_thumbnails/encods2021-theartofbraincrafting-210608104240-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-art-of-braincrafting/249189043 The Art of Braincrafting https://cdn.slidesharecdn.com/ss_thumbnails/talk-190405095541-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/neural-fields-a-cognitive-approach/139684753 Neural fields, a cogni... https://cdn.slidesharecdn.com/ss_thumbnails/digitaltypography-180818062537-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/siggraph-2018-digital-typography/110385070 SIGGRAPH 2018 - Digita...