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Tenth Madrid UPM Advanced Statistics and Data Mining Summer School - Early registration deadline

by asdm＠fi.upm.es

Dear colleagues, We would like to remind you that the early registration period for the tenth Madrid UPM Advanced Statistics and Data Mining Summer School finishes on June 7th. The summer school will be held in Boadilla del Monte, near Madrid, from June 29th to July 10th. As in previous years, the school comprises 12 week-long courses, of 15 lecture hours each, which are given during two weeks (i.e., with six courses given each week). Students are free to choose the courses according to their interests, with the only restriction being that courses which are given in parallel are mutualy exclusive. INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at https://blog.inomics.com/top-10-summer-schools-in-math-stats/ Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM Please, send this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 29th - July 3rd, 2015) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 6th - July 10th, 2015) * 1st session: 9:45-12:45 Course 7: Statistical Inference(15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Bayesian Classifiers (15 h) Discrete predictors. Gaussian Bayesian networks-based classifiers. Other Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, semi-supervised learning, data streams, temporal data. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Fundamentals. Language Modeling. String Processing. Text Classification. Information Extraction. Practical session: GATE (optionally, python). Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Convex Optimization (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

June 2, 2015

PhD position in Computational Neuroscience/Biology in Oslo, Norway

by Gaute Einevoll

PHD-POSITIONS IN COMPUTATIONAL NEUROSCIENCE/BIOLOGY IN OSLO, NORWAY Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD) collaboration: https://www.simula.no/education/suurph-collaboration PhD-candidates will expectedly spend about 3 years in Oslo (UiO or SIMULA) and about year at UCSD. Possible PhD-projects include: modeling of interaction between ion channels and psychoactive drugs, modeling of memory processing in hippocampus and entorhinal cortex, modeling of liquid flow in the brain, biophysical modeling of EEG and MEG signals, biomechanical modeling of the human brain. For more info on projects see: https://www.simula.no/suurph-projects Students interested in becoming a SUURPh fellow should consult the Applicant's page: https://www.simula.no/students-page. Here you will find all relevant information and instructions to submit your application. ********************************************** Professor Gaute T. Einevoll Department of Mathematical Sciences and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.umb.no, cinpla.org

June 1, 2015

postdoctoral position in Carmen Canavier's lab

by Canavier, Carmen C.

A two (2) year Postdoctoral Researcher position is available in the lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans. The focus of the lab is computational neuroscience. The main project is to model bursting and tonic firing in midbrain dopamine neurons, in close collaboration with experimentalists. Additional projects focus on oscillations and synchrony in cortical and basal ganglia networks. The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Engineering, Mathematics, Neuroscience, Physics, Computer Science or a related field of study. Familiarity with nonlinear dynamics, writing code, running the simulation package NEURON, and modeling single neurons is preferred. Qualified candidates may submit resume along with cover letter and contact information for three references electronically to: SOM-recruits(a)lsuhsc.edu; reference 00049561. This appointment is a two (2) year assigned only. Applications should be received before July 1 to ensure consideration for the position. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

June 1, 2015

Reminder: Post-doc fellowship on computational neurosciences and stereoscopic vision

by cottereau＠cerco.ups-tlse.fr

Post-doc fellowship with Benoit Cottereau on computational neurosciences and stereoscopic vision Centre de Recherche Cerveau et Cognition, Toulouse, France Starting date: September December 2015 A postdoctoral research position is available to work with Benoit Cottereau (CNRS Researcher) in the ECO-3D team of the CerCo laboratory (Toulouse, http://www.cerco.ups-tlse.fr/?lang=en) The aim of the project is to develop new models of stereoscopic vision in primate that automatically become selective to the most frequently occurring 3D properties of their visual environment (e.g. 3D motion direction). These models will possibly be validated through experimental data (psychophysics and brain imaging in both human and non-human primates). The applicant should hold a solid background in computational neurosciences, signal processing as well as skills in programming. Knowledge on vision in primate would be highly appreciated. The city of Toulouse is an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border). The position is for 18 months with standard French salaries. Applications should be sent to benoit.cottereau(a)cerco.ups-tlse.fr including a CV and 2 names of references.

June 1, 2015

Reminder: NCCD-2015 registration deadline

by pedro goncalves

New early registration deadline: June 4th. The list of oral and poster presentations can be found at http://www.gatsby.ucl.ac.uk/nccd/nccd15/abstracts/ *********************************************************** Neural Coding, Computation and Dynamics (NCCD) August 30 - September 2, 2015 Bilbao, Spain http://www.gatsby.ucl.ac.uk/nccd/nccd15/ The goal of this workshop is to bring together experimentalists and theoreticians who seek to understand how circuit dynamics underlies representation and function in the nervous system, and to foster real discussion. This year the workshop will focus on the interplay between excitation (E) and inhibition (I) in cortical circuits. The balance between E and I, an idea proposed twenty years ago to account for the stochastic nature of cortical activity, has been seminal in the understanding of basic principles of neural network dynamics. We are seeking talks that, building on this paradigm, present recent findings on topics such as neuronal variability and stochastic dynamics, the role of the different subtypes of interneurons, plasticity and structure in EI networks, brain state and network dynamics, etc. The workshop will be limited to about 70 people, the hope being to foster real interaction and discussion. Important dates: May 15: Abstracts due (there will be posters and contributed talks) June 4th: Early registration due Confirmed invited speakers: Dean Buonomano, University of California at Los Angeles Jess Cardin, Yale School of Medicine Sophie Denève, ENS Brent Doiron, University of Pittsburgh Andrea Hasenstaub, UCSF Mike Hausser, UCL Carl Petersen, Ecole Polytechnique Federale de Lausanne Karel Svoboda, Janelia Farm Tim Vogels, University of Oxford Fred Wolf, University of Gottingen Best, Peter Latham Jaime de la Rocha Maneesh Sahani Pedro Goncalves Co-organizers

May 31, 2015

Neural Metrics 2.0 : Deadline approaching (June 15th)

by Marcel van Gerven

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…>). 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)

May 29, 2015

Machine Learning & Auditory Processing Position at TU Berlin

by Ivo Trowitzsch

Technische Universitaet Berlin, department of Neural Information Processing, offers a position in an international collaborative project set in auditory processing and modeling, robotics and machine learning. The successful candidate will develop and apply machine learning and signal processing techniques in an active computational model of auditory perception in order to detect and annotate acoustic events in an auditory scene analysis and an quality of experience setting. Project and position are part of the TWO!EARS project which is funded through the EU FET Open scheme (see brief description below). Starting date: Immediate Salary level: E-13 TV-L The position is until the end of 2016. Candidates should hold a recent PhD-degree or Diplom-/Master- degree, should have excellent programming skills in an object-oriented language (MATLAB will be used) and good knowledge in the machine learning field. Research experience in machine learning or applications to auditory processing is an asset. Application material (CV, list of publications, abstract of PhD thesis (if applicable), abstract of Diplom-/Master/Thesis, copies of certificates and two letters of reference -- but those can also be handed in later) should be sent to: Prof. Dr. Klaus Obermayer MAR 5-6, Technische Universitaet Berlin, Marchstrasse 23 10587 Berlin, Germany http://www.ni.tu-berlin.de/ email: oby(a)cs.tu-berlin.de preferably by email. TUB seeks to increase the proportion of women and particularly encourages women to apply. Women will be preferred given equal qualification. Disabled persons will be preferred given equal qualification. --------------------------------------------------------------------------- Consortium Summary: TWO!EARS replaces current thinking about auditory modeling by a systemic approach in which human listeners are regarded as multi-modal agents that develop their concept of the world by exploratory interaction. The goal of the project is to develop an intelligent, active computational model of auditory perception and experience in a multi-modal context. Our novel approach is based on a structural link from binaural perception to judgment and action, realized by interleaved signal-driven (bottom-up) and hypothesis-driven (top-down) processing within an innovative expert system architecture. The system achieves object formation based on Gestalt principles, meaning assignment, knowledge acquisition and representation, learning, logic-based reasoning and reference-based judgment. More specifically, the system assigns meaning to acoustic events by combining signal- and symbol-based processing in a joint model structure, integrated with proprioceptive and visual percepts. It is therefore able to describe an acoustic scene in much the same way that a human listener can, in terms of the sensations that sounds evoke (e.g. loudness, timbre, spatial extent) and their semantics (e.g. whether the sound is unexpected or a familiar voice). Our system will be implemented on a robotic platform, which will actively parse its physical environment, orientate itself and move its sensors in a humanoid manner. The system has an open architecture, so that it can easily be modified or extended. This is crucial, since the cognitive functions to be modeled are domain and application specific. TWO!EARS will have significant impact on future development of ICT wherever knowledge and control of aural experience is relevant. It will also benefit research in related areas such as biology, medicine and sensory and cognitive psychology. -- Ivo Trowitzsch Research Assistant @ Neural Information Processing Group, TU Berlin

May 28, 2015

CFP EUCOG 2015

by Prof. Dr. Jordi Vallverdú

*Call for Papers* EUCOG2015 Annual Meeting of the European Society of Cognitive Systems (Meeting of the EUCognition Network) 25-26.09.2015 Universitat Autònoma de Barcelona ORGANISERS: Jordi Vallverdú & Vincent C. Müller http://www.eucognition.org/index.php?page=eacs-barcelona-2015-gen-info Program Commitee: Varol Akman, Bilkent University, Ankara Istvan Berkeley The University of Louisiana at Lafayette Ron Chrisley Sussex University David Casacuberta Universitat Autònoma de Barcelona Mark Coeckelbergh University of Twente Eric Dietrich Binghamton University James Fetzer University of Minnesota, Duluth Stefano Franchi Texas A&M University Antoni Gomila Universitat Illes Balears Claudius Gros Institute for Theoretical Physics Lorenzo Magnani University of Pavia, Italy Klaus Mainzer Technische Universität München Gualtiero Piccinini University of Missouri - St. Louis Oron Shagrir Hebrew University Mark Sprevak University of Edinburgh Ioannis Votsis Heinrich-Heine Universität Düsseldorf Tom Ziemke University of Skövde Max Talanov Kazan Federal University Manuel Bedia Universidad de Zaragoza Bruno Lara Universidad de Cuernavaca ========================================= ABSTRACTS We request anonymous abstracts of 600-1000 words (plus references) in plain text or PDF, plus a short abstract of up to 120 words. Accepted papers will be presented at the conference (orally or as posters) and published in the proceedings. (We plan to provide a copy of the proceedings to the corresponding author.) We foresee slots of at least 20 minutes per talk. All submissions will be reviewed double-blind by at least two members of the programme committee. Submission online at EasyChair: https://easychair.org/conferences/?conf=eucog2015 Technical note: The EasyChair system will ask you for an "abstract" and a "paper". For us, "abstract" refers to the short abstract (up to 120 words) in plain text, while "paper" refers to the long abstract (600-1000 words), which can be submitted as a PDF or plain text. Accordingly, please do not use the check-box "Abstract Only". (The abbreviation "Corr. Auth." stands for "corresponding author".) *Send to:* https://easychair.org/conferences/?conf=eucog2015 ========================================= DATES & DEADLINES May 10th, 2015 Call For Papers, abstract submission opens June 1st, 2015 Congress registration opens July 1st, 2015 Deadline for submission of abstracts July 15th, 2015 Notifications of acceptance August 30th, 2015 Deadline for early registrations September 25th-26th EUCOG2015 ========================================= THEMES "Cognitive systems" is to be broadly understood as an interlinked research of natural and artificial cognitive systems. We welcome participants from all disciplines that are relevant for fundamental issues of present and future robotics and AI, especially cognitive science, computer science, neuroscience and philosophy. We are especially interested in bioinspired techniques, models and methods. • AI and cognitive science • autonomous vehicles • cognitive systems in industry • communication (verbal and non-verbal) • dynamical systems • embedded, situated, distributed cognition • embodiment, enaction, morphology • social impact of AI and robotics • goals, emotions, values, free will • grounded cognition • hybrid systems, cyborgs • interactive systems • learning, evolution • neuroscience and cognitive systems • multi-agent systems • perception, sensing • performance and intelligence testing • real-world systems • robotics • robustness and adaptability • ... ========================================= PUBLICATION Details on the publication for 2015 are not yet finalized but we will publish a volume of proceedings to include all accepted papers, planned to be published within 6 months of the event. Submission and presentation at the conference do not entail an obligation of the author(s) to publish in the conference proceedings. ========================================= Prof. Dr. Jordi Vallverdú, B. Phil, B. Mus, M.Sci, Ph.D. Room B7/104, Philosophy Dept. UAB 08193 Bellaterra (BCN) CATALONIA ------------------- FULL CV/Publications: https://uab.academia.edu/JordiVallverdu <https://uab.academia.edu/JordiVallverd%C3%BA> ORCID: http://orcid.org/0000-0001-9975-7780 ResearcherID: http://www.researcherid.com/rid/K-5536-2014 Researchgate: https://www.researchgate.net/profile/Jordi_Vallverdu

May 28, 2015

Save the date! Next GDR Multielectrode/NeuralNet Conference and Minischool: Jan 5-8, 2016

by Blaise Yvert

Dear colleagues, This is the first announcement that the next conference of the GDR Multielectrode - becoming soon (hopefully) GDR NeuralNet - will be held in Grenoble on January 6-8, 2016. We chose to delay a bit this edition in order to organize the conference in the Vercors mountain (http://www.escandille.com/) The conference will start on Jan 6 late afternoon and end on Jan 8 afternoon. Not sure there will be snow at this period, but we hope the calm of Vercors will foster creative thinking and interactions! Because lodging will be provided on site, a (reasonable) registration fee will be asked to cover the corresponding cost and secure the organization. The minischool preceding the conference will take place in downtown Grenoble on January 5-6 (lodging not provided). The program and registration organization is under preparation, but please save already these dates to make this new event as rich as possible ! Looking forward welcoming you all, Kind regards, Blaise on behalf of the organizing committee: Tetiana AKSENOVA Julien BASTIN Florent BOCQUELET Olivier DAVID Cécile DELACOUR Antoine DEPAULIS Samuel GARCIA Philippe KAHANE Sandrine MAUBERT Gaëlle OFFRANC PIRET Christophe POUZAT Anne QUESNEL-HELLMANN Blaise YVERT -- Blaise Yvert. Inserm Research Director Clinatec Laboratory UA01 Biomedical Research Center Edmond J Safra CEA-INSERM-UJF-CHU Grenoble Minatec Campus 17 rue des Martyrs 38054 Grenoble cedex 09 Tel. +33 4 38 78 91 38 / +33 6 32 88 75 90 Fax. +33 4 38 78 53 55 http://www.clinatec.fr (under construction)

May 28, 2015

postdoctoral position in human connectomics

by Olaf Sporns

*Postdoctoral/Assistant Research Scientist Position in Human Connectomics* Indiana University is making a multi-year, multi-million dollar investment to create and expand the infrastructure for research and training in network science through the establishment of the Indiana University Network Science Institute (IUNI – http://iuni.iu.edu ). IUNI seeks applicants for a postdoctoral position as Assistant Research Scientist in the area of Human Connectomics. This position will be appointed for a two-year term with the possibility of renewal based on exemplary performance and continued funding. The position involves close collaboration with the Computational Cognitive Neuroscience Laboratory (www.indiana.edu/~cortex <http://www.indiana.edu/%7Ecortex> – Head: Olaf Sporns) and the Indiana University Center for Neuroimaging (http://neuroimaging.medicine.iu.edu/ - Director: Andrew J. Saykin). Research goals focus on the application of sophisticated network analysis and modeling methods to multimodal human neuroimaging data sets, including advanced diffusion imaging, structural MRI and resting-state fMRI, in both healthy and clinical populations. A major application focus is on prodromal stages of Alzheimer’s disease and many other clinical populations, including TBI, non-CNS cancer and psychosis, are also being investigated.In addition to close collaboration with Drs. Sporns, Saykin and colleagues, the successful candidate will be encouraged to interact with IU’s growing community of network scientists. A full position description and instructions for how to apply can be found at: https://indiana.peopleadmin.com/hr/postings/1490 For informal inquiries please contact Olaf Sporns at osporns(a)indiana.edu <mailto:osporns@indiana.edu> -- Olaf Sporns -- @spornslab Department of Psychological and Brain Sciences Programs in Neuroscience and Cognitive Science Indiana University Bloomington, IN 47405

May 27, 2015