Neural Metrics 2.0 : Deadline approaching (June 15th)
Neural Metrics 2.0 : Connectomics & Large-Scale Methods
The Donders Institute for Brain, Cognition and Behaviour/Radboud University is organizing a summer school on neural metrics with the aim to get participants acquainted with the quantitative analysis of neural organisation and function. In Neural Metrics 2.0 we will build on the success from the previous year, focussing on methods for understanding brain networks such as connectomics as well as large scale and Bayesian methods, with world class speakers, hands-on tutorials, student projects and an interactive debate. The topics covered range from cellular connectomics to human functional connectomics.
The course is designed for PhD students and starting postdoctoral researchers working at the interface between cognitive neuroscience and the application of advanced methods. Please consult the Radboud Summer school website (http://www.ru.nl/radboudsummerschool/ http://www.ru.nl/radboudsummerschool/) for details on the program, social events and registration. Further details for the Neural Metrics Summer School can be found below and on the website (http://www.ru.nl/radboudsummerschool/courses/brain-behaviour/@972443/neural-... http://www.ru.nl/radboudsummerschool/courses/brain-behaviour/@972443/neural-metrics-2-0-0/).
Dates : Monday 10 August - Friday 14 August 2015 (1 week)
Application Deadline : 15 June 2015
Course leaders : Bernhard Englitz, Marcel van Gerven, Fleur Zeldenrust, Tansu Celikel Donders Institute for Brain, Cognition and Behaviour & Radboud University
Participant profile : This course was developed for PhD students and early postdoctoral researchers working at the interface between cellular and cognitive neuroscience requiring advanced methods of analysis. This includes research in the field of Neuroscience with an MSc in Biology, Computer Science, Psychology, Physics, Al, Mathematics, Engineering or a similar major.
Admission requirements : As part of the admission procedure, we ask you to send us your CV and a brief motivation letter in which you explain your interest in our course.
Course fee : 600 Euros The course fee includes the registration fee, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities. Accommodation is available for the course participants (additional charges apply). For details please see http://www.ru.nl/radboudsummerschool/practical-matters/housing/ http://www.ru.nl/radboudsummerschool/practical-matters/housing/
Discounts : • 15% discount for students and PhD candidates from Radboud University and partner universities,
Confirmed Speakers (alphabetical):
Misha Ahrens (HHMI, Janelia) Matthias Bethge (University Tübingen) Vincent Bonin (VIB, Leuven) Romain Brette (Institut de la Vision, Paris) Kevin Briggman (NIH, Bethesda) Tansu Celikel (Donders Institute, Nijmegen) Moritz Helmstädter (MPI for Brain Research, Frankfurt) Henry Kennedy (INSERM, Lyon) Timm Lochmann (TU Berlin) David Norris (Donders Institute, Nijmegen) Rémi Proville (Donders Institute, Nijmegen) Andrew Reid (FZ Jülich) Jan Schnupp (Oxford University) Alessandro Treves (SISSA, Trieste) Fleur Zeldenrust (Univ. Amsterdam)
Our lab (www.ccnlab.net http://www.ccnlab.net/) recently received funding for a PhD and postdoc position at the interface between machine learning (deep learning, Bayesian modeling, computational linguistics) and neuroscience:
http://www.ru.nl/english/working/job-opportunities/details/details-vacature/... http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?taal=uk&recid=556419&pad=/english
http://www.ru.nl/english/working/job-opportunities/details/details-vacature/... http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?taal=uk&recid=556421&pad=/english
The positions deal with the development of new computational models to probe how naturalistic representations are encoded across the cortical surface.
For the PhD position, we are looking for candidates with a Master’s degree in cognitive (neuro)science, computational neuroscience or a related area of research. Candidates should have excellent programming skills, a strong mathematical background and prior experience with acquisition of neural data.
For the postdoc position, we are looking for candidates with a PhD degree in machine learning, artificial intelligence, computational neuroscience, applied mathematics or a related area of research. Candidates with a degree in cognitive neuroscience and a strong mathematical background would also be eligible.
Start of the project is negotiable but preferably September 2015.
partecipanti (1)
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Marcel van Gerven