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<body class='hmmessage'><div dir='ltr'>A new paper that some may find interesting:<BR> <BR>Forrest MD (2014) The sodium-potassium pump is an information processing element in brain computation. <em>Frontiers in Physiology</em>.<BR>FREELY available at:<BR><a href="http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00472/full">http://journal.frontiersin.org/Journal/10.3389/fphys.2014.00472/full</a><BR> <BR> <BR><br> <BR><div>> From: connectionists-request@mailman.srv.cs.cmu.edu<br>> Subject: Connectionists Digest, Vol 407, Issue 4<br>> To: connectionists@mailman.srv.cs.cmu.edu<br>> Date: Sun, 21 Dec 2014 12:00:28 -0500<br>> <br>> Send Connectionists mailing list submissions to<br>> connectionists@mailman.srv.cs.cmu.edu<br>> <br>> To subscribe or unsubscribe via the World Wide Web, visit<br>> https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists<br>> or, via email, send a message with subject or body 'help' to<br>> connectionists-request@mailman.srv.cs.cmu.edu<br>> <br>> You can reach the person managing the list at<br>> connectionists-owner@mailman.srv.cs.cmu.edu<br>> <br>> When replying, please edit your Subject line so it is more specific<br>> than "Re: Contents of Connectionists digest..."<br>> <br>> <br>> Today's Topics:<br>> <br>> 1. [Call for applications] *Graduate Programs in Computational<br>> Neuroscience* in Berlin; MSc and PhD; 7 PhD scholarships;<br>> deadline March 15, 2015 (Robert Martin)<br>> 2. Computational Neural Scientist Position (Behnood Gholami)<br>> 3. New paper on using deep sparse distributed representations<br>> for event learning and recognition (Rod Rinkus)<br>> 4. CFP: Generative and Developmental Systems (GDS) track at<br>> GECCO 2015 (Sebastian Risi)<br>> <br>> <br>> ----------------------------------------------------------------------<br>> <br>> Message: 1<br>> Date: Fri, 19 Dec 2014 17:48:52 +0100<br>> From: Robert Martin <graduateprograms@bccn-berlin.de><br>> To: connectionists@cs.cmu.edu<br>> Subject: Connectionists: [Call for applications] *Graduate Programs in<br>> Computational Neuroscience* in Berlin; MSc and PhD; 7 PhD<br>> scholarships; deadline March 15, 2015<br>> Message-ID: <549456F4.3080209@bccn-berlin.de><br>> Content-Type: text/plain; charset=UTF-8; format=flowed<br>> <br>> [Apologies for cross-posting]<br>> <br>> *Doctoral* and *Master Program* "Computational Neuroscience"<br>> at the Bernstein Center for Computational Neuroscience Berlin<br>> in Berlin, Germany<br>> <br>> Application deadline: *March 15, 2015*<br>> Begin of courses: October 2015<br>> Internet: www.computational-neuroscience-berlin.de<br>> <br>> <br>> _Doctoral Program_<br>> <br>> The Bernstein Center for Computational Neuroscience Berlin and the TU <br>> Berlin invite applications for *7 fellowships* of the Research Training <br>> Group "Sensory Computation in Neural Systems" (GRK 1589/2, <br>> https://www.eecs.tu-berlin.de/grk_15891/menue/sensory_computation_in_neural_systems/).<br>> <br>> The *scientific program* of the research training group combines <br>> techniques and concepts from machine learning, computational <br>> neuroscience, and systems neurobiology in order to specifically address <br>> sensory computation. Doctoral candidates will work on interdisciplinary <br>> projects investigating the mechanisms of neural computation, address the <br>> processes underlying perception on different scales and different levels <br>> of abstraction, and develop new theories of computation hand in hand <br>> with well-controlled experiments in order to put functional hypotheses <br>> to the test.<br>> <br>> The training group offers structured supervision complemented by a <br>> teaching and training program. Each student will be supervised by two <br>> investigators with complementary expertise and will be associated with <br>> the Bernstein Center for Computational Neuroscience Berlin <br>> (https://www.bccn-berlin.de/) a leading research center dedicated to the <br>> theoretical study of neural processing.<br>> <br>> Candidates are expected to hold a Masters degree (or equivalent) in a <br>> relevant subject (e.g., neuroscience, cognitive science, computer <br>> science, physics, mathematics, etc.) and have the required advanced <br>> mathematical background.<br>> <br>> Candidates selected in the first application step will be invited for <br>> lab visits and an interview, expected to take place in June 2015. The <br>> *fellowships of 1468 ?/month* - with additional children allowances if <br>> applicable---will be granted for up to three years.<br>> <br>> <br>> _Master's Program_<br>> <br>> The tuition-free Master program in Computational Neuroscience offers *15 <br>> places* per year, has a duration of 2 years and is fully taught in English.<br>> <br>> The *curriculum* is subdivided into ten modules, whose content includes <br>> theoretical neuroscience, programming, machine learning, cognitive <br>> neuroscience, acquisition, modelling, and computational analysis of <br>> neural data, with a strong focus on a complementary theoretical and <br>> experimental training. Three lab rotations and a Master's thesis are <br>> accomplished in the second year. The aim of the program is to provide <br>> the students with an interdisciplinary education and an early contact to <br>> the neurocomputational research environment.<br>> <br>> *Requirements* BSc or equivalent degree in a relevant subject (typically <br>> in the natural sciences, in an engineering discipline, in cognitive <br>> science, or in mathematics), certificate of English proficiency, proof <br>> of sufficient mathematical knowledge (at least 24 ECTS credit points).<br>> <br>> ~~~<br>> <br>> _For more information_ ...<br>> <br>> ... come and visit us on our *information day* on January 14, 2015, at 3 <br>> PM (sharp) at the BCCN Berlin:<br>> https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3667<br>> <br>> ... or browse:<br>> www.computational-neuroscience-berlin.de<br>> <br>> ... or e-mail:<br>> graduateprograms@bccn-berlin.de .<br>> <br>> <br>> Best regards,<br>> <br>> Robert Martin<br>> <br>> <br>> -- <br>> <br>> Robert Martin, PhD<br>> Teaching Coordinator<br>> <br>> Bernstein Center for Computational Neuroscience<br>> Humboldt-Universitaet zu Berlin<br>> Philippstr. 13 House 6; 10115 Berlin; Germany<br>> Phone/Fax +49 (0)30 2093 6773/6771<br>> http://www.computational-neuroscience-berlin.de<br>> <br>> GRK 1589/1, Sensory Computation in Neural Systems<br>> Technische Universitaet Berlin<br>> Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin<br>> Phone/Fax +49 (0)30 314 72006/73121<br>> http://www.eecs.tu-berlin.de/grk_15891/<br>> <br>> <br>> ------------------------------<br>> <br>> Message: 2<br>> Date: Fri, 19 Dec 2014 14:25:14 -0500<br>> From: Behnood Gholami <bgholami@aretexeng.com><br>> To: connectionists@mailman.srv.cs.cmu.edu<br>> Subject: Connectionists: Computational Neural Scientist Position<br>> Message-ID:<br>> <CAJEowCWaAVHpaMYs-SKzzZrG6HP78N7Gk+kqPeJ_2ApikXvmkA@mail.gmail.com><br>> Content-Type: text/plain; charset="utf-8"<br>> <br>> I am the Chief Technology Officer of a healthcare startup company located<br>> in the NYU Incubator in New York City. We are working on a number of new<br>> technologies for critical care funded by the DoD and NSF.<br>> <br>> We are looking for a strong candidate with expertise in machine learning<br>> and EEG data analysis to fill a Staff Scientist position in our company.<br>> The details of the position can be found at: http://www.aretexeng.com/jobs<br>> <br>> Best,<br>> Behnood Gholami<br>> <br>> --<br>> Behnood Gholami, Ph.D.<br>> Chief Technology Officer<br>> AreteX Engineering<br>> 137 Varick St., 2nd Floor<br>> New York, NY 10013<br>> Phone: (347) 774-1617<br>> -------------- next part --------------<br>> An HTML attachment was scrubbed...<br>> URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20141219/18373dac/attachment-0001.html><br>> <br>> ------------------------------<br>> <br>> Message: 3<br>> Date: Fri, 19 Dec 2014 16:51:30 -0500<br>> From: Rod Rinkus <rod.rinkus@gmail.com><br>> To: connectionists@mailman.srv.cs.cmu.edu<br>> Subject: Connectionists: New paper on using deep sparse distributed<br>> representations for event learning and recognition<br>> Message-ID:<br>> <CAOidF2MGfKMD6LY=7-oE8tH1J-Hh--J-E72VGK5-RBcwLh70pA@mail.gmail.com><br>> Content-Type: text/plain; charset="utf-8"<br>> <br>> Dear Connectionists,<br>> <br>> I have a new paper<br>> <http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00160/abstract><br>> "Sparsey^TM: event recognition via deep hierarchical sparse distributed<br>> codes" in Frontiers in Computational Neuroscience, which I think will be of<br>> general interest to this group. Many existing hierarchical models propose<br>> localist representations in each sub-region of each hierarchical level. In<br>> contrast, in Sparsey, all sub-regions (macrocolumns) in all of internal<br>> levels use sparse distributed codes, which confers great computational<br>> efficiency, as we argue in the paper. This animation<br>> <http://www.sparsey.com/index.html> of a memory trace unfolding in a<br>> 6-level Sparsey model shows the proposed general correspondence to cortex<br>> (the levels of macs would correspond to V1, V2, etc.). I look forward to<br>> any questions/feedback from the community.<br>> <br>> Sincerely,<br>> Rod Rinkus<br>> <br>> <br>> -- <br>> Gerard (Rod) Rinkus, PhD<br>> President,<br>> rod at neurithmicsystems dot com<br>> Neurithmic Systems LLC <http://sparsey.com><br>> 275 Grove Street, Suite 2-400<br>> Newton, MA 02466<br>> 617-997-6272<br>> <br>> Visiting Scientist, Lisman Lab<br>> Volen Center for Complex Systems<br>> Brandeis University, Waltham, MA<br>> grinkus at brandeis dot edu<br>> http://people.brandeis.edu/~grinkus/<br>> <http://people.brandeis.edu/%7Egrinkus/><br>> -------------- next part --------------<br>> An HTML attachment was scrubbed...<br>> URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20141219/03dc8567/attachment-0001.html><br>> <br>> ------------------------------<br>> <br>> Message: 4<br>> Date: Sat, 20 Dec 2014 21:54:58 +0100<br>> From: Sebastian Risi <sebastian.risi@gmail.com><br>> Cc: Jean-Baptiste Mouret <mouret@isir.upmc.fr><br>> Subject: Connectionists: CFP: Generative and Developmental Systems<br>> (GDS) track at GECCO 2015<br>> Message-ID:<br>> <CAJn6=dq2ok7JCL1iLKDGw68ob82nmq+q=ewFUUbEgqUvZ7Gnyw@mail.gmail.com><br>> Content-Type: text/plain; charset="utf-8"<br>> <br>> **************************************************************************<br>> *** CALL FOR PAPERS<br>> *** 2015 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2015)<br>> *** Generative and Developmental Systems (GDS) Track<br>> *** July 11-15, 2015, Madrid, Spain<br>> *** Organized by ACM SIGEVO<br>> *** http://www.sigevo.org/gecco-2015/organizers-tracks.html<br>> *************************************************************************<br>> <br>> As artificial systems continue to grow in size and complexity, the<br>> engineering traditions of rigid top-down design are reaching the limits of<br>> their applicability. In contrast, biological evolution is responsible for<br>> an apparently unbounded complexity and diversity of living organisms. The<br>> Generative and Developmental Systems (GDS) track seeks to unlock the full<br>> potential of in silico evolution as a design methodology that can scale up<br>> to systems of great complexity and meet our specifications with minimal<br>> manual programming effort. Major themes are genotype-phenotype maps,<br>> interactions between developmental processes and evolution, alternatives to<br>> the classic fitness function to drive the selection process, and success<br>> metrics that go beyond task-based benchmarks (e.g., generating/measuring<br>> complexity, evolvability, regularity, etc.).<br>> <br>> GECCO is the main conference in evolutionary computation. With a selection<br>> rate of about 35%, it is the premier place for high-quality contributions<br>> about artificial evolution. The GDS track at GECCO invites all papers<br>> addressing the challenges of scaling up evolution to life-like complexity,<br>> including, but not limited to the areas of:<br>> <br>> - artificial development, artificial embryogeny<br>> - neural development, neuroevolution<br>> - evo-devo robotics, morphogenetic robotics<br>> - evolution of evolvability<br>> - gene regulatory networks<br>> - grammar-based systems, generative systems, rewriting systems<br>> - indirect mappings, compact encodings, novel representations<br>> - morphogenetic engineering<br>> - diversity preservation, novelty search<br>> - competitive co-evolution (arms races)<br>> - measures of evolved complexity (theoretical or practical)<br>> - open-ended evolution<br>> <br>> IMPORTANT DATES:<br>> <br>> January 21, 2015 Abstract submission<br>> February 4, 2015 Full paper submission<br>> March 20, 2015 Notification of paper acceptance<br>> April 14, 2015 Camera ready submission<br>> July 11-15, 2015 GECCO 2015 Conference in Madrid, Spain<br>> <br>> Join the GDS Google Group, https://groups.google.com/forum/#!forum/gds-gecco,<br>> to see the latest updates.<br>> <br>> TRACK CHAIRS:<br>> <br>> JB Mouret, University Pierre and Marie Curie (France), mouret@isir.upmc.fr<br>> Sebastian Risi, IT University of Copenhagen (Denmark), sebr@itu.dk<br>> <br>> --<br>> Dr. Sebastian Risi<br>> Assistant Professor<br>> IT University of Copenhagen, Room 5D08<br>> Rued Langgaards Vej 7, 2300 Copenhagen, Denmark<br>> email: sebastian.risi@gmail.com, web: www.sebastianrisi.com<br>> mobile: +45-50250355, office: +45-7218-5127<br>> -------------- next part --------------<br>> An HTML attachment was scrubbed...<br>> URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20141220/bfd21137/attachment-0001.html><br>> <br>> ------------------------------<br>> <br>> Subject: Digest Footer<br>> <br>> _______________________________________________<br>> Connectionists mailing list<br>> Connectionists@mailman.srv.cs.cmu.edu<br>> https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists<br>> <br>> ------------------------------<br>> <br>> End of Connectionists Digest, Vol 407, Issue 4<br>> **********************************************<br></div> </div></body>
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