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[ICSLANE] Registration deadline extension
by Alessandro Barardi June 3, 2015

June 3, 2015

*Registration deadline has been extended to the 20th of June.* *Fellowships for students presenting posters are available. Check our website <http://www.neural-engineering.eu/BarcelonaConference2015/index.html> for details.* --------------------------------------------------------------- On September 21st – 23rd 2015, the *Neural Engineering Transformative Technologies <http://www.neural-engineering.eu/>* project celebrates the closing event with an *International Conference on System Level Approaches to * *Neural Engineering (ICSLANE*). *Eugene Izhikevich, *co-founder and CEO of Brain Corporation, USA, and *Nikos Logothetis, * Director of Max Planck Institute for Biol Cybernetics inGermany, participate in the event as keynote speakers. The program per day with its* outstanding list of confirmed speakers *is already available* here <http://www.neural-engineering.eu/BarcelonaConference2015/index.html>.* We invite you to *submit poster abstracts* *and apply for **contributed talks. * *Students *who submit posters will have a *fee reduction.* Program <http://www.neural-engineering.eu/BarcelonaConference2015/index.html> Registration <https://www.eventbrite.co.uk/e/international-conference-on-system-level-app…> Abstract submission <nett.barcelona.2015(a)gmail.com> The aim of this interdisciplinary conference is to bring together *theoretical and experimental * *neuroscientists, **roboticists and microfluidics experts* to present and discuss the state of the art in the field of *neural engineering*. It is designed to provide fertile grounds for establishing collaborations between classical neuroscientists and leaders in the up-and-coming robotics and microfluidics fields to develop novel neural engineering techniques and promote the understanding of the brain. *Location:* *Parc de Recerca Biomèdica de Barcelona* *Dr. Aiguader, 88* *08003, Barcelon**a* --------------------------------------------------------------- On behalf of NETT fellows, Alessandro Barardi, PhD student. Neural Engineering Transformative Technologies <http://www.neural-engineering.eu/> Universitat Politècnica de Catalunya, Universitat Pompeu Fabra. Barcelona, Spain

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CFP: Special Issue on Applications of Operations Research in Neuroscience
by Ruben Tikidji-Hamburyan June 2, 2015

June 2, 2015

Dear Colleagues, [We apologize if you have received multiple copies of this message] We would like to draw your attention to the special volume on "Applications of Operations Research for Neuroscience" in the Annals of Operations Research. We cordially invite researchers in neuroscience who use operations research methods and related mathematical fields to contribute to this special issue. Potential topics include, but are not limited to, the following areas of neuroscience: * intracellular signaling and regulation * synaptic plasticity * dynamics in heterogeneous neural networks * intelligent systems and control * perceptual, cognitive and behavioral functions * learning and memory * spatio-temporal network analysis * combinatorial optimization * signal and information processing * neuroimaging and functional brain imaging processing * computational modelling and simulation Please note that the use of methods from modern operations research is a prerequisite for any paper submitted to this special issue to be accepted for review. Important Dates: Submission deadline of full papers: August 1, 2015. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/business/operations+research/journal/10479 Authors should submit a cover letter mentioning that the paper is for a special volume, along with and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor More details can be found in the Call for Paper attached to this e-mail. Please consider sharing this call for papers with any researchers who might be interested. http://rutcor.rutgers.edu/CfP_Annals_of_Operations_Research.pdf On behalf of special volume guest editors, Ruben Tikidji-Hamburyan ------- Ruben Tikidji-Hamburyan,Ph.D. Department of Cell Biology and Anatomy Health Sciences Center Louisiana State University New Orleans, LA, 70112 A.B.Kogan Research Institute for Neurocybernetics Southern Federal University 344090, Russia

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Postdoctoral Research Associate position
by Peter Andras June 2, 2015

June 2, 2015

Research Associate Fixed Term for 2 Years Starting salary: Grade 7 £31,342 Keele University wishes to appoint a Research Associate for the duration of 2 years starting on 1st August 2015 or as soon as possible thereafter, in order to conduct research on the development of novel voltage-sensitive dyes for neuroimaging. You will work in the group led by Professor Peter Andras in the <http://www.keele.ac.uk/scm/research/centreforcomputerscienceresearch/> Computer Science Research Centre and the <http://www.keele.ac.uk/scm/> School of Computing and Mathematics at <http://www.keele.ac.uk/> Keele University and within a Leverhulme Trust funded project. The project runs in collaboration with the group of Professor Andrew Benniston from the School of Chemistry at Newcastle University. The aim of the project is to use rational molecular design to develop novel voltage-sensitive dyes with low toxicity and strong fluorescent signal in order to improve significantly the quality of neuroimaging data. You will work on the testing and evaluation of novel voltage-sensitive dyes for neuroimaging developed by our collaborators from Newcastle University. The novel dyes will be tested and evaluated by imaging neural activity in the crustacean stomatogastric ganglion and brain slices. You will be expected to contribute to the design of the experiments, run the experiments, collect and analyse the data, contribute to the writing of scientific papers and to present the results at conferences. You will be also encouraged to develop your leadership skills. You should have a PhD in a science subject (neuroscience, biology, computer science, physics, mathematics or similar), an interest in working on neuroscience experiments and a demonstrated aptitude for research. Experience in analysis of neuroimaging or similar data is essential and experience in micro-dissection and electrophysiology is highly desirable. For further enquiries please contact Professor Peter Andras at p.andras @keele.ac.uk. For full post details and to apply, please visit: <http://tinyurl.com/RE15-12> http://tinyurl.com/RE15-12 Closing date for applications: 29th June 2015 Interview dates: 6 7 July 2015 (to be confirmed) Interviews may be conducted remotely if needed (via skype or similar technology) --- Professor Peter Andras Professor of Computer Science and Informatics Head of Computing Division School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

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Job announcements--Mrsic Flogel lab
by Kelly Clancy June 2, 2015

June 2, 2015

Hi all, the Mrsic-Flogel lab at the University of Basel, Switzerland is looking to fill 2 positions: a data scientist and a research associate. The official announcement is below. Thanks! Kelly *Data scientist position in the Mrsic-Flogel lab* The Mrsic-Flogel lab is seeking a highly motivated data scientist. The main focus of our research <http://www.biozentrum.unibas.ch/research/groups-platforms/overview/unit/mrs…> is to understand the visual cortex. The primary responsibilities for this position will be to design data analysis packages for processing large data sets. Our lab uses two-photon imaging of individual neurons, wide field imaging of the entire cortex, and electrophysiology to understand how neural activity relates to sensory perception and behavior. The successful candidate should have extensive experience working with large data sets, be highly organized and detail-oriented, be able to work both independently and within a team, and have a degree in physical or biological sciences (or several years of work experience). Experience with imaging data, and familiarity with sophisticated analysis techniques (e.g. dynamic causality modelling, machine learning, etc.) are ideal. Familiarity with MATLAB and/or LABVIEW a plus. Applications (in electronic form), including CV, a brief description of previous research experience/software projects, and contact information of two references should be addressed to Tom Mrsic-Flogel, Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland ( mrsic-flogel(a)googlegroups.com) Additional info Full-time position, starting immediately or upon agreement. The position is initially for 1-2 years. Salary and benefits according to University of Basel standards. The Biozentrum of the University of Basel is one of the leading institutes worldwide for molecular and biomedical basic research and teaching. It is home to more than 30 research groups with scientists from over 40 countries. Research at the Biozentrum focuses on the areas of Cell Growth & Development, Infection Biology, Neurobiology, Structural Biology & Biophysics and Computational & Systems Biology. With more than 550 employees, the Biozentrum is the largest department at the University of Basel’s Faculty of Science. Basel is an international city with people from 150 nations. Located on the border where three countries meet – Switzerland-Germany-France, it is Europe’s most important life sciences hub. Basel provides a high standard of living and a rich and varied cultural atmosphere. *Research Associate Position in the Mrsic-Flogel lab* The Mrsic-Flogel lab is seeking a highly motivated research associate. The main focus of our research <http://www.biozentrum.unibas.ch/research/groups-platforms/overview/unit/mrs…> is to understand the visual cortex. The primary responsibilities for this position will include animal behavioral training, histology, and/or animal surgeries. The ideal candidate should have some research experience in a neuroscience or biology lab. Prior experience with data analysis software and/or imaging software would be advantageous. The successful candidate should be highly organized, detail-oriented and computer literate, have good written and verbal communication skills, be able to work both independently and within a team and have a bachelor's degree or higher in a neuroscience, biology or a related subject. Applications (in electronic form), including CV, a brief description of previous research experience/software projects, and contact information of two references should be addressed to Tom Mrsic-Flogel, Biozentrum, University of Basel, Klingelbergstrasse 70, 4056 Basel, Switzerland ( mrsic-flogel(a)googlegroups.com) Additional info Full-time position, starting immediately or upon agreement. The position is initially for 1-2 years. Salary and benefits according to University of Basel standards. The Biozentrum of the University of Basel is one of the leading institutes worldwide for molecular and biomedical basic research and teaching. It is home to more than 30 research groups with scientists from over 40 countries. Research at the Biozentrum focuses on the areas of Cell Growth & Development, Infection Biology, Neurobiology, Structural Biology & Biophysics and Computational & Systems Biology. With more than 550 employees, the Biozentrum is the largest department at the University of Basel’s Faculty of Science. Basel is an international city with people from 150 nations. Located on the border where three countries meet – Switzerland-Germany-France, it is Europe’s most important life sciences hub. Basel provides a high standard of living and a rich and varied cultural atmosphere.

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Tenth Madrid UPM Advanced Statistics and Data Mining Summer School - Early registration deadline
by asdm＠fi.upm.es June 2, 2015

June 2, 2015

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.

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PhD position in Computational Neuroscience/Biology in Oslo, Norway
by Gaute Einevoll June 1, 2015

June 1, 2015

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

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postdoctoral position in Carmen Canavier's lab
by Canavier, Carmen C. June 1, 2015

June 1, 2015

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.

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Reminder: Post-doc fellowship on computational neurosciences and stereoscopic vision
by cottereau＠cerco.ups-tlse.fr June 1, 2015

June 1, 2015

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.

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Reminder: NCCD-2015 registration deadline
by pedro goncalves May 31, 2015

May 31, 2015

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

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Machine Learning & Auditory Processing Position at TU Berlin
by Ivo Trowitzsch May 28, 2015

May 28, 2015

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

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