← Back to cohort
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William H. Alexander, David Beeman, Paweł Kudela, Dana Boatman‐Reich, William Anderson, Niceto R. Luque, Francisco Naveros, Richard R. Carrillo, Eduardo Ros, Angelo Arleo, Jacob Huth, Koki Ichinose, Jihoon Park, Yuji Kawai, Junichi Suzuki, Hiroki Mori, Minoru Asada, Sorinel A. Oprisan, Austin I. Dave, Tahereh Babaie, Peter Robinson, Alejandro Tabas, Martin Andermann, André A. Rupp, Emili Balaguer‐Ballester, Henrik Lindén, Rasmus Kordt Christensen, Mari Nakamura, Tania Rinaldi Barkat, John M. Beggs, Davide Lonardoni, Fabio Boi, Stefano Di Marco, Alessandro Maccione, Luca Berdondini, Joanna Jędrzejewska‐Szmek, Daniel B. Dormán, Kim T. Blackwell, Christoph Bauermeister, Hanna Keren, Jochen Braun, João V. Dornas, Eirini Mavritsaki, Silvio Aldrovandi, Emma K. Bridger, Sukbin Lim, Nicolas Brunel, Anatoly Buchin, Clifford Charles Kerr, Anton V. Chizhov, Gilles Huberfeld, Richard Miles, Boris Gutkin, M. Spencer, Hamish Meffin, David B. Grayden, Anthony N. Burkitt, Catherine E. Davey, L. Y. Tao, Vineet Tiruvadi, Rehman Ali, Helen S. Mayberg, Robert J. Butera, Cengiz Günay, Damon G. Lamb, Ronald L. Calabrese, Anca Doloc-Mihu, Víctor J. López‐Madrona, Fernanda S. Matias, Ernesto Pereda, Cláudio R. Mirasso, Santiago Canals, Alice Geminiani, Alessandra Pedrocchi, Egidio D’Angelo, Claudia Casellato, Ankur Chauhan, Karthik Soman, V. Srinivasa Chakravarthy, Vignayanandam Ravindernath Muddapu, Chao-Chun Chuang, Nan-yow Chen, Mehdi Bayati, Jan Melchior, Laurenz Wiskott, Amir Hossein Azizi, Kamran Diba, Sen Cheng, Elena Y. Smirnova, E. G. Yakimova, Nan-Yow Chen, Chi-Tin Shih, Dorian Florescu, Daniel Coca, Julie Courtiol, Viktor Jirsa, R. J. M. Covolan, Bartosz Teleńczuk, Richard Kempter, Gabriel Curio, Alain Destexhe, Jessica Parker, Alexander N. Klishko, Boris I. Prilutsky, Gennady Cymbalyuk, Felix Franke, Andreas Hierlemann, Rava Azeredo da Silveira, Stefano Casali, Stefano Masoli, Martina Francesca Rizza, Yinming Sun, Willy Wong, Faranak Farzan, Daniel M. Blumberger, Zafiris J. Daskalakis, Svitlana Popovych, Shivakumar Viswanathan, Nils Rosjat, Christian Grefkes, Silvia Daun, Damiano Gentiletti, Piotr Suffczyński, Vadym Gnatkovski, Marco de Curtis, Hyeonsu Lee, Se‐Bum Paik, Woochul Choi, Jaeson Jang, Young‐Jin Park, Jun Song, Min Song, Vicente Iborra Pallarés, Matthieu Gilson, Simone Kühn, Andrea Insabato, Gustavo Deco, Katharina Glomb, Adrián Ponce‐Alvarez, Petra Ritter, Adrià Tauste Campo, Alexander Thiele, Farah Deeba, Peter A. Robinson, Sacha J. van Albada, Andrew Rowley, Maximilian Schmidt, Alan B. Stokes, David Lester, Steve Furber, Markus Diesmann, Alessandro Barri, Martin T. Wiechert, David A. DiGregorio, Alexander G. Dimitrov, Catalina Vich, Rune W. Berg, Antoni Guillamon, Susanne Ditlevsen, Romain D. Cazé, Benoît Girard, Stéphane Doncieux, Nicolas Doyon, Frank Boahen, Patrick Desrosiers, Edward Laurence, Louis J. Dubé, Eleonora Russo, Daniel Durstewitz, Dominik Schmidt, Tuomo Mäki‐Marttunen, Florian Krull, Francesco Bettella, Christoph Metzner, Anna Devor, Srdjan Djurovic, Anders M. Dale, Ole A. Andreassen, Gaute T. Einevoll, Solveig Næss, Torbjørn V. Ness, Geir Halnes, Eric Halgren, Klas H. Pettersen, Marte J. Sætra, Espen Hagen, Alina Schiffer, Axel Grzymisch, Malte Persike, Udo Ernst, Daniel Harnack, Nergis Tömen, Stefano Zucca, Valentina Pasquale, Giuseppe Pica, Manuel Molano‐Mazón, Michela Chiappalone, Stefano Panzeri, Tommaso Fellin, Kelvin S. Oie, David L. Boothe, Joshua C. Crone, Alfred B. Yu, Melvin A. Felton, Isma Zulfiqar, Michelle Moerel, Peter De Weerd, Elia Formisano, Piotr J. Franaszczuk, Roland Diggelmann, Michele Fiscella, Domenico Guarino, Ján Antolík, Andrew P. Davison, Yves Frégnac, Benjamin Xavier Etienne, Flavio Frohlich, Jérémie Lefebvre, Encarni Marcos, Maurizio Mattia, Aldo Genovesio, Leonid Fedorov, Tjeerd M. H. Dijkstra, Louisa Sting, Howard S. Hock, Martin A. Giese, Laure Buhry, Clément Langlet, Francesco Giovannini, Christophe Verbist, Stefano Salvadè, Michèle Giugliano, James A. Henderson, Hendrik Wernecke, Bulcsú Sándor, Claudius Gros, Nicole Voges, Paulina Dabrovska, Alexa Riehle, Thomas Brochier, Sonja Grün, Yifan Gu, Pulin Gong, Grégory Dumont, Nikita Novikov, Parul Tewatia, Olivia Eriksson, Andrei Kramer, João M. Santos, Alexandra Jauhiainen, Jeanette Hellgren Kotaleski, Jovana J. Belić, Arvind Kumar, Masanori Shimono, Naomichi Hatano, Subutai Ahmad, Yuwei Cui, Jeff Hawkins, Johanna Senk, Karolína Korvasová, Tom Tetzlaff, Moritz Helias, Tobias Kühn, Michael Denker, PierGianLuca Porta Mana, David Dahmen, Jannis Schuecker, Sven Goedeke, Christian Keup, Katja Heuer, Rembrandt Bakker, Paul Tiesinga, Roberto Toro, Wei Qin, Alex E. Hadjinicolaou, Michael R. Ibbotson, Tatiana Kameneva, William W. Lytton, Lealem Mulugeta, Andrew Drach, Jerry G. Myers, Marc Horner, Rajanikanth Vadigepalli, Tina Morrison, Marlei Walton, Martin Steele, C. Anthony Hunt, David C. Tam, Rodrigo Amaducci, Carlos Múñiz, Manuel Reyes-Sánchez, Francisco B. Rodrı́guez, Pablo Varona, Joseph T. Cronin, Matthias H. Hennig, Elisabetta Iavarone, Jane Yi, Ying Shi, Bas‐Jan Zandt, Werner Van Geit, Christian Rössert, Henry Markram, Sean Hill, Christian O’Reilly, Ying Shi, Rodrigo Perin, Huanxiang Lu, Alexander Bryson, Michal Hadrava, Jaroslav Hlinka, Ryosuke Hosaka, Mark Olenik, Conor Houghton, Nicolangelo Iannella, Thomas Launey, Rebecca Kotsakidis, Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda, Samira Abbasi, Amber E. Hudson, Detlef Heck, Dieter Jaeger, Joel Lee, Skirmantas Janušonis, Maria Luisa Saggio, Andreas Spiegler, William C. Stacey, Christophe Bernard, Davide Lillo, Spase Petkoski, Mark Drakesmith, Derek K. Jones, Ali Sadegh Zadeh, C. Kambhampati, Jan Karbowski, Zeynep Gokcen Kaya, Yair Lakretz, Alessandro Treves, Lily W. Li, Joseph T. Lizier, Cliff C. Kerr, Timothée Masquelier, Saeed Reza Kheradpisheh, Hojeong Kim, Chang Sub Kim, J. Marakshina, A. Vartanov, Anastasia A. Neklyudova, S. Kozlovskiy, A. Kiselnikov, Kanako Taniguchi, Katsunori Kitano, Oliver Schmitt, Felix Leßmann, Sebastian Schwanke, Peter Eipert, Meinhardt Jennifer, Julia Beier, Kanar Kadir, Adrian Karnitzki, Linda Sellner, Ann-Christin Klünker, Lena Kuch, Frauke Ruß, Jörg Jenssen, Andreas Wree, Paula Sanz‐Leon, S. A. Knock, Burkhard Maeß, Thomas R. Knösche, Charles C. H. Cohen, Marko Popović, Maarten H. P. Kole, Erik A. Roberts, Nancy Kopell, Daniel Kepple, Hamza Giaffar, Dima Rinberg, Alex Koulakov, Caroline Garcia Forlim, Leonie Klock, Johanna Bächle, Laura Stoll, Patrick Giemsa, Marie Fuchs, Nikola Schoofs, Christiane Montag, Jürgen Gallinat, Ray X. Lee, Greg J. Stephens, Bernd Kühn, Luiz Tauffer, Philippe Isope, Katsuma Inoue, Yoshiyuki Ohmura, Shogo Yonekura, Yasuo Kuniyoshi, Hyun Jae Jang, Jeehyun Kwag, Marc de Kamps, Yi Ming Lai, Filipa Santos, Kong‐Peng Lam, Julia P. Imperatore, Jessica Helms, Tamás Tompa, Antonieta Lavı́n, Felicity H. Inkpen, Michael C. Ashby, Nathan F. Lepora, Aaron R. Shifman, John E. Lewis, Zhong Zhang, Yeqian Feng, Christian Tetzlaff, Tomas Kulvičius, Yinyun Li, Rodrigo F. O. Pena, Davide Bernardi, Antônio C. Roque, Benjamin Lindner, Sebastian Vellmer, Aušra Saudargienė, Tiina Maninen, Riikka Havela, Marja‐Leena Linne, Arthur S. Powanwe, André Longtin, Jesús A. Garrido, Joe W. Graham, Salvador Durá-Bernal, Sergio Angulo, Samuel A. Neymotin, Srdjan D. Antic
Bibliographic record
VenueBMC Neuroscience · 2017
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsUniversity of OttawaUniversity of TorontoUniversity Health NetworkInstitut Universitaire en Santé Mentale de QuébecUniversité LavalCentre for Addiction and Mental Health
FundersNational Institute on Drug AbuseCollege of ComputingUtdannings- og forskningsdepartementetNatural Sciences and Engineering Research Council of CanadaStiftung MercatorCanada First Research Excellence FundRussian Science FoundationVlaamse regeringNorges ForskningsrådCentre National de la Recherche ScientifiqueNational Research FoundationUlla Tuomisen SäätiöFundação de Amparo à Pesquisa do Estado de São PauloEmil Aaltosen SäätiöCanadian Institutes of Health ResearchČeské Vysoké Učení Technické v PrazeFonds Wetenschappelijk OnderzoekBundesministerium für Bildung und ForschungNational Institutes of HealthHope for Depression Research FoundationOkinawa Institute of Science and Technology Graduate UniversityRussian Foundation for Basic ResearchEngineering and Physical Sciences Research CouncilMinistry of Science, ICT and Future PlanningSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome TrustAgence Nationale de la RechercheEuropean CommissionAgentura Pro Zdravotnický Výzkum České RepublikyNational Alliance for Research on Schizophrenia and DepressionDeutsche ForschungsgemeinschaftMinistero dell’Istruzione, dell’Università e della RicercaCampbell InstituteJapan Society for the Promotion of ScienceDaegu Gyeongbuk Institute of Science and TechnologyConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsSupercomputerComputer scienceComputational neuroscienceFlexibility (engineering)WorkflowComputer architectureXeon PhiInteroperabilitySoftwareXeonNeuroscienceArtificial intelligenceParallel computingOperating system
Abstract
NestMC is a new multicompartment neural network simulator currently under development as a collaboration between the Simulation Lab Neuroscience at the Forschungszentrum Jlich, the Barcelona Supercomputing Center and the Swiss National Supercomputing Center. NestMC will enable new scales and classes of morphologically detailed neuronal network simulations on current and future supercomputing architectures. A number of "many-core" architectures such as GPU and Intel Xeon Phi based systems are currently available. To optimally use these emerging architecture new approaches in software development and algorithm design are needed. NestMC is being written specifically with performance for this hardware in mind (Figure The improvements in performance and flexibility in themselves will enable a variety of novel experiments, but the design is not yet finalized, and is driven by the requirements of the neuroscientific
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.060
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.115
GPT teacher head0.324
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations19
Published2017
Admission routes2
Has abstractyes