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Theory-Experiment postdoctoral position in Paris with Shihab Shamma and Srdjan Ostojic
by Srdjan Ostojic April 12, 2015

April 12, 2015

A theory-experiment postdoctoral position is available at Ecole Normale Superieure in Paris, on a collaborative project between the Shamma and Ostojic labs. The aim of the project is to investigate the neural bases of auditory discrimination in awake behaving ferrets by combining computational modeling, data-analysis and experimental recordings. The successful applicant will be based at the Group for Neural Theory, a highly interactive and dynamic environment situated in central Paris (see http://iec-lnc.ens.fr/group-for-neural-theory/) The Shamma lab where the neurophysiological recordings take place is located next door (http://www.iec-lsp.ens.fr/spip.php?rubrique30) The ideal candidate should be a computational neuroscientist with strong interest in experimental neuroscience, or the other way round. Starting dates are flexible. The position is for two years. Candidates should send a letter of motivation (2 pages max), the contact information of 2 or more referees and their CVs to srdjan.ostojic at ens.fr *BEFORE April 30th, 2015*. Srdjan Ostojic Group for Neural Theory Ecole Normale Superieure Paris 29, rue d'Ulm 75005 Paris, France

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PhD position in closed-loop software technologies for neuroscience research
by Pablo Varona April 10, 2015

April 10, 2015

Dear colleagues, A PhD position is available at the Biological Neurocomputation Group, Autonomous University of Madrid, Spain. This position is related to the development of software technologies for closed-loop experimental research in neuroscience. We seek a highly motivated PhD student with a Master's degree at the time of the formalization of the contract in one of the following (or related) disciplines: computer science, engineering, physics, prosthetics. Prior experience in the fields of real time software technology, C/C++ programming, control systems, electrophysiological recordings, EEG, neuroimaging, or computational neuroscience will be valuable. Enthusiasm for interdisciplinary research is required. Interested candidates, please send CV to Dr Pablo Varona: gnbuam(a)gmail.com Application procedure: applicants should send a CV and contact information for 2 references to Dr Pablo Varona (gnbuam(a)gmail.com) The deadline for applications is May 1st, 2015. http://www.ii.uam.es/~pvarona http://www.ii.uam.es/~gnb

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ECMLPKDD 2015: Summer School on Data Sciences for Big Data - Resource Aware Data Mining
by ECMLPKDD 2015 April 10, 2015

April 10, 2015

>From 2nd to 5th of September 2015, the TU Dortmund University and LIAAD-INESC TEC will organize a Summer School on Data Sciences for Big Data - Resource Aware Data Mining. The School will be hosted at Faculty of Sciences, University of Porto and is collocated with <http://ecmlpkdd2015.org/> ECMLPKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (http://www.ecmlpkdd2015.org/) For the summer school, world leading researchers in machine learning and data mining will give lectures on recent techniques dealing with huge amounts of data, spatio-temporal streaming data, distributed and graph data, sensors and embedded systems. The summer school is designed for Master and PhD students, and professionals who wanted to learn cutting edge techniques for data mining with constrained computational resources. For further details go to: <http://www.ecmlpkdd2015.org/summer-school/about> http://www.ecmlpkdd2015.org/summer-school/about

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Fwd: Fully-funded PhD studentship
by Shufan Yang April 9, 2015

April 9, 2015

Fully-funded PhD studentship: Neuro-inspired medical image processing based on hardware implementation. Applications are invited for a fully-funded PhD studentship (£13,750 pa for three years), to conduct research into neuro-inspired medical image processing. The project will develop new computational models of visual system for medical image processing, based on recent ideas from computer vision, spatial statistics and time-series analysis. The models will be implemented in an embedded hardware platform. All nationalities are eligible to apply, for details see: http://www.wlv.ac.uk/research/research-studentships/university-funded-phd-s… For application please follow the link below: http://www.wlv.ac.uk/research/research-studentships/university-funded-phd-s… Dr Shufan Yang Senior Lecturer in Computer Science School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, Wolverhampton Phone: 01902 518594 EMail: s.yang(a)wlv.ac.uk Website: www.wlv.ac.uk/~in3429

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NEURON Summer Course early registration discount
by Ted Carnevale April 9, 2015

April 9, 2015

Applicants who sign up for "NEURON Fundamentals" or "Parallel Simulation with NEURON" by Monday, April 20, are eligible for an early registration discount: $150 for those who plan to stay on campus, $100 for those who make their own housing arrangements. Qualified applicants who sign up for both courses are eligible for an additional $100 discount. For more information about these courses and an online application form, see http://www.neuron.yale.edu/neuron/static/courses/nscsd2015/nscsd2015.html or contact ted dot carnevale at yale dot edu

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GEM4 Meeting on Brain Mechanics
by Nathan Urban April 9, 2015

April 9, 2015

The deadline for student applications for the 10th anniversary GEM4 involving linking biology and mechanics on Mechanobiology of the Brain is next week (April 15). The final program for this 2 week course (June 22-July 3, 2015 at Carnegie Mellon University) with lectures and labs is at http://www.ices.cmu.edu/gem4. Best wishes and thanks again. Sincerely, Philip LeDuc Jimmy Hsia Subra Suresh

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Tenth Advanced Statistics and Data Mining Summer School (Madrid) - Early registration reminder
by asdm＠fi.upm.es April 9, 2015

April 9, 2015

Dear colleagues, We would like to remind you that the early registration period for the Advanced Statistics and Data Mining Summer School is open until 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 (15 lecture hours each), given during two weeks (six courses per week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. 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 or Post-Doc Position for facial expression recognition
by Fred Hamker April 8, 2015

April 8, 2015

A PhD (E 13 TV-L, 75%) or postdoctoral (E 13 TV-L) position is available at the Technical University of Chemnitz (Germany) in the Department of Computer Science. The position is funded initially until 30.09.2017, but is renewable pending availability of future funds. Starting date is as soon as possible. The research position is focused on facial expression recognition using methods of machine learning (e.g. active appearance models, deep learning) and neuro-computational modeling (e.g. brain inspired techniques for visual object recognition). The position is funded by a grant from the Federal Ministry of Education and Research. The candidate should have good programming experience and solid english language skills. A formal job search is available in german: https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_5_Re.php Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to (fred.hamker(a)informatik.tu-chemnitz.de) as soon as possible. Applications shall be sent by April 30th, but later applications will be considered until the position is filled. -------------------- Prof. Dr. Fred H Hamker Artificial Intelligence & Neuro Cognitive Systems Department of Computer Science Chemnitz University of Technology Strasse der Nationen 62 D - 09107 Chemnitz Germany Tel: +49 (0)371 531-37875 Fax: +49 (0)371 531-25739 email: fred.hamker(a)informatik.tu-chemnitz.de www: http://www.tu-chemnitz.de/informatik/KI/

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7th International Summer School in Biomedical Engineering „New Instrumentation for brain measurements and stimulation“, 17th - 29th August 2015 in Lutherstadt Wittenberg, Germany
by Uwe Graichen April 8, 2015

April 8, 2015

Dear colleagues, we are pleased to announce the 7th International Summer School in Biomedical Engineering on "New Instrumentation for brain measurements and stimulation" August, 17-29, 2015 in Lutherstadt Wittenberg, Germany. This event stands in the tradition of a series of successful summer schools on hot themes in biomedical engineering, dedicated to intense learning in the fruitful atmosphere of tight interaction between students and world-leading specialists. This year’s summer school is devoted to new hardware technologies for measuring and stimulating the brain, such as dry electroencephalography (EEG) electrodes, optically pumped magnetic field sensors, neuronal current imaging based on low-field magnetic resonance and multichannel transcranial current stimulation. In particular, the 7th International Summer School on Biomedical Engineering will focus on ways how these new technical advances may help to overcome current limitations in human neurosciences and medicine. It will cover both theoretical foundations and practical applications. We aim at a thorough understanding of the underlying mechanisms. Thus, we will develop a critical view on current applications and possible future developments. The second important aim of the summer school consists in providing contact with both leading experts in the field and other students with similar interests, thereby facilitating the exchange of ideas on latest developments in the field. Target Group: - PhD students - Advanced Master students - Researchers entering the field of brain measurement and stimulation techniques Further Information about the 7th International Summer School in Biomedical Engineering: www.iss2015.org We would be happy to receive your application. Please pass this announcement to your colleagues who might be interested. Sincerely, Jens Haueisen and Thomas Knösche

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15 PhD positions for PACE, an EU funded Innovative Training Network for understanding Perception and Action in Complex Environments
by Laurent Perrinet April 8, 2015

April 8, 2015

Dear colleagues, PACE (Perception and Action in Complex Environments) is an Innovative Training Network funded by the Marie Sklodowska-Curie program of the European Union starting on April 1st, 2015. The network involves 10 academic and private full partners, from 6 European and associated countries (France, Spain, Italy, Netherlands, UK, Israel), plus 5 associated partners (private companies and public organizations). The network gathers a broad range of expertise from experimental psychology, cognitive neurosciences, brain imaging, technology and clinical sciences as well as transferable skills. The PACE network promotes interdisciplinary research and training in the field of human movement sciences with a strong emphasis on perception-action coupling in complex environments. We focus on changes of this coupling across lifespan and in pathological diseases affecting the nervous system. The goal is to train PhD students through collaborative research projects, international courses and workshops. 15 PhD positions, starting next fall, are offered across the different network sites. You can find a short description of the proposed PhD projects at the following link: http://www.int.univ-amu.fr/IMG/pdf/PACE_Table_positions.pdf Applications are welcome immediately and until the end of May (but some specific timing constraints may be enforced in some of the partners' sites: please get more information from local contacts). You will find further general information (sections 1 to 3), eligibility and application conditions (section 4) here: http://www.int.univ-amu.fr/-ITN-Marie-Curie-network-PACE Thanks for distributing this announcement to potential condadates, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet

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PhD positions available at the University of Genova
by Paolo Massobrio April 8, 2015

April 8, 2015

We are seeking highly motivated candidates for two PhD positions (3 years) in Bioengineering at the Neuroengineering and Bio-Nano Technology Group (NBT <http://www.nbtunige.it/> ), University of Genova <http://www.unige.it/> , Genova, ITALY. Our labs are located in Genova <http://www.turismo.comune.genova.it/spip.php?lang=en> , a small beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). The successful candidate will be involved in a research project focused on the study of the computational properties of cortical assemblies coupled to micro-electrode arrays. The two PhD projects are the following: 1. 2D and 3D neuronal networks coupled to microtransducer arrays for the development of in vitro neurotoxicity tests We are interested to investigate how computational properties emerge in 2D and 3D neuronal populations and how information processing and transmission is related to the topological properties of neuronal networks. In this project, we propose to develop a systematic and controlled experimental approach for investigating the dynamics of 2D and 3D neuronal networks coupled to innovative high-density devices by means of advanced analysis tools. We plan to extensively characterize and compare 2D and 3D neuronal cultures by means of electrical and chemical stimulation. Within this framework we seek at developing a new in vitro and automated system for neurotoxicity tests. In the last part of the project we foresee to challenge our experimental models with chemical substances and to study the electrophysiological response with respect to specific parameters (biomarkers). 2. Development of computational models of neuronal assemblies to understand their computational properties as a function of different network topologies The present project aims at investigating how to effectively interact with neuronal systems by understating the role of the network connectivity in the computational properties of small/large/interacting neuronal networks. In particular, during the three-year research project, different computational network models will be developed and investigated, in order to: i) characterize the spontaneous activity of networks of neurons with different architectures. In particular, 2D uniform/homogeneous networks, 2D interconnected networks made up of few sub-populations (from 2 up to 4), and 3D structures will be taken into account. The observed dynamics will be investigated by checking whether particular configurations may promote phenomena like synchronization, emergence of critical phenomena, interplay between structural and functional connectivity; ii) characterize the stimulus-evoked activity induced by electrical stimulation in networks of neurons with different architectures. It will be investigated whether the evoked responses (i.e., the I/O function) can be modulated by structural connectivity. Candidates must have a master degree (or equivalent) in physics, engineering, mathematics or a related field. Essential skills comprise Matlab and/or C++/C# programming, as well as experience in computational neuroscience. If you are really interested, please send your CV, the name and contact details of two references, a description of your personal qualifications, and a description of your research interests indicating which of the two positions you are interested in. Please, be sure to satisfy the aforementioned requirements (master degree and essential skills). Before the hiring, candidates will be tested to verify the effective knowledge. Important dates are: Deadline: 15th May 2015. Starting Date: 1st November 2015 For submissions and informal inquiries, please contact Paolo Massobrio (paolo.massobrio(a)unige.it <mailto:paolo.massobrio@unige.it> ) Best regards Paolo _________________________________________________ Paolo Massobrio, PhD Assistant Professor of Bioengineering Neuroengineering and Bio-Nano Technology - NBT - Lab Department of Informatics, Bioengineering, Robotics and System Engineering - DIBRIS University of Genova Via Opera Pia 11A, 16145, GENOVA, ITALY Phone: +39-010-3532761 Fax: +39-010-3532764 URL: <http://www.dibris.unige.it/> www.dibris.unige.it; <http://www.nbtunige.it/> www.nbtunige.it <http://sites.google.com/site/paolomassobrio/> http://sites.google.com/site/paolomassobrio/ E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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programmer/data analyst position at SUNY Downstate in Brooklyn, NY
by Susana Martinez-Conde April 7, 2015

April 7, 2015

A programmer/data-analyst position is available in the Martinez-Conde lab at SUNY Downstate, in Brooklyn, NYC (a 25-minute subway ride to Times Square). The Martinez-Conde lab (http://smc.neuralcorrelate.com) focuses on the intersection between perception, cognition, oculomotor behavior, and their neural underpinnings. Representative publications can be downloaded from http://smc.neuralcorrelate.com/publications. Candidates should have extensive programming experience in C++ and Matlab/Python, as well as a strong mathematical background as demonstrated by college transcripts. A Masters/Ph.D. in Engineering/Physics/Mathematics/Computer science/Neuroscience is preferred. Knowledge of neuroscience (or a strong desire to learn) is a plus. Foundational and translational research projects typically involve data analyses (eye movements, neural activity, perceptual reports, electrodermal activity, pupil responses, heart rate, respiration rate) and computational modeling, as well as behavioral/psychophysical and/or neurophysiological experiments. Expertise analyzing data and/or programming experiments in any of these areas is a plus. Please email CV/resume and college transcripts to Prof. Martinez-Conde (Susana.Martinez-Conde(a)downstate.edu <mailto:Susana.Martinez-Conde@downstate.edu> ). ---------------------------------------------------------------- Susana Martinez-Conde, PhD Director, Laboratory of Visual Neuroscience Division of Neurobiology Barrow Neurological Institute 350 W. Thomas Rd Phoenix AZ 85013, USA Phone: +1 (602) 406-3484 Fax: +1 (602) 406-4172 Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> http://smc.neuralcorrelate.com

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Brown University: Computational Neuroscience Post-Doctoral Opportunity
by Stephanie Jones April 6, 2015

April 6, 2015

Brown University: Computational Neuroscience Post-Doctoral Opportunity A NIH funded post-doctoral position is available to work with Dr. Stephanie Jones at Brown University and Dr. Matti Hamalainen at Mass. General Hospital on developing and analyzing biophysically principled computational neural models to study human MEG/EEG measured brain activity in health and disease. The post-doc hired will work among a team of researcher at Brown University, Mass. General Hospital in Boston, and Rhode Island Hospital who are advancing methods to image and interpret non-invasively measured human brain activity. Our group is integrating computational modeling, MEG/EEG, and invasive intra-operative recordings in humans to advancing methods to image and interpret non-invasively measured human brain activity in the context of sensorimotor function. Areas of study in our group include attention, perception, motor function, Parkinson’s Disease and Essential Tremor. Interested candidates should have experience in computational modeling methods and a strong quantitative and coding background. Please send a CV, statement of research interests, and three letters of recommendation to Stephanie_Jones(a)Brown.edu.

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CFP: 9th International Conference on Bio-inspired Information and Communications Technologies (BICT 2015, formerly BIONETICS)
by Masafumi HASHIMOTO April 5, 2015

April 5, 2015

CFP: 9th International Conference on Bio-inspired Information and Communications Technologies (BICT 2015, formerly BIONETICS) http://www.bionetics.org/ Paper submission deadline extended: August 3, 2015 December 3 (Thu) - December 5, 2015 (Sat) New York City, NY, USA Sponsored by European Alliance for Innovation (EAI) and Department of Biomedical Engineering at the Columbia University School of Engineering and Applied Science In-corporation with ACM (Pending) BICT 2015 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines that seek the understanding of key principles, processes and mechanisms in biological systems and leverage those understandings to develop novel information and communications technologies (ICT). BICT 2015 targets two thrusts: THRUST 1: Indirect Bioinspiration (ICT designed after biological principles, processes and mechanisms). Examples include evolutionary computation, artificial gene regulatory networks, neural networks/computation, swarm intelligence, cellular automata, artificial immune systems, amorphous computing, artificial life, artificial chemistry, reaction-diffusion computing, self-organization, chaotic systems, social networks, game theory, computational epidemics, agent-based modeling, and nature-inspired models and calculi. THRUST 2: Direct Bioinspiration (ICT utilizing biological materials and systems). Examples include biosensing, molecular assembly, cellular computing, molecular computing/communication, membrane computing, bacterial computing/communication, DNA computing and memory, Physarum computing, quantum computing, biometric security/authentication, brain-computer interfaces and energy harvesting from biological sources. Expected, but not exclusive, topics are: * Signal/information processing and communication for bio-inspired ICT * Data management and analytics for bio-inspired ICT * Algorithms and their applications for bio-inspired ICT * Formal models and methods for bio-inspired ICT * Bio-inspired software and hardware systems * Modeling, simulations and empirical experiments of bio-inspired ICT * Self-* and stability properties in bio-inspired ICT * Security, robustness and resilience in bio-inspired ICT * Design, configuration, performance and management issues in bio-inspired ICT * Tools, testbeds and deployment aspects in bio-inspired ICT * Applications, experiences and standardization of bio-inspired ICT Application domains include, but not limited to, autonomic computing, bioinformatics, biomedical engineering, computer networks, computer vision, data mining, e-health, green computing and networking, grid/cloud computing, intelligent agents, mechanical engineering, nanoscale/molecular computing and communication, optimization, pervasive computing, robotics, security, social networks, software engineering and systems engineering. IMPORTANT DATES: Regular paper submission due: August 3 Short and poster/demo paper submission due: September 22 Notification for regular papers: September 21 Notification for short and poster/demo papers: October 1 Camera ready due: October 15 SPECIAL TRACKS: In addition to the regular track that covers general/mainstream topics, BICT 2015 features the following special tracks that focus on specific, emerging or underrepresented topics. * Anthropomorphic Robot and Physiological Information for Cares and Daily Communication (ARPI) * Artificial, Biological and Bio-Inspired Intelligence (ABBII) * Artificial Intelligence and Software Engineering (AISE) * Bio-inspired Algorithms and Technologies for Cyber Security and Defense Applications (DEFENSE) * Bio-Inspired Communications and Computing (BICC) * Bio-inspired Wireless Network Security (BWNS) * Biological Computing and Bio-medical Informatics (BCBI) * Biologically Inspired Computer Vision Models and Techniques (BioVis) * BioNanoNetworks: Modeling, Design, Performance and Applications (BMDPA) * Combinatorial Optimization (COP) * Complex Adaptive Systems (CAS) * Computational Intelligence on Information Security (CIIS) * Engineering Applications from Bio-Molecular Networks (EmNet) * Game Theory and its Applications (GTA) * Molecular Communication and Networking (MCN) * Modularization for Practical Software Engineering (MPSE) * Nano-networks and Communication in Bacteria Populations (NCBP) * Physarum Computing (PhysComp) * Soft Computing on Brain-Body Area (SCBBA) * Swarm Robotics (SR) * Topology-driven bio-inspired methods and models for complex systems (TOPDRIM4Bio) CO-LOCATED WORKSHOPS: * Bioinformatics 2015 * Brain-Inspired Information Communication Technologies (BIICT) * Computational Models of the Visual Cortex (CMVC): Hierarchies, Layers, Sparsity, Saliency and Attention * Int'l Workshop on Electro-Chemical Signaling in Neuron Organelles (ESNO) * The First Int'l Workshop on Combining Machine Learning and Search-BasedSoftware Engineering (MLSBSE) * Int'l Workshop on Physarum Transport Networks (PhysNet) PAPER SUBMISSION: Authors are invited to submit regular papers (up to 8 pages each), short papers (up to 4 pages each) or poster/demo papers (up to 2 pages each) in ACM's paper template. Up to two extra pages are allowed for each paper with extra page charges. See http://bionetics.org/2015/show/initial-submission for more details. PUBLICATION: All accepted paper will be published through ACM Digital Library and submitted for indexing by SI, EI Compendex, Scopus, ACM DL, Google Scholar and many more. Selected papers will be considered for publication in leading journals including: * IEEE Transactions on NanoBioscience * ACM/Springer Mobile Networks and Applications * Elsevier Information and Software Technology * Elsevier Information Sciences * Springer Software Quality Journal * Elsevier Nano Communication Networks Journal * Springer Complex Adaptive Systems Modeling * Int'l Journal of Soft Computing and Networking KEYNOTE SPEAKERS: * Dmitri Chklovskii, Simons Foundation, USA * Simon Garnier, New Jersey Institute of Technology and Rutgers University, USA * Radu Marculescu, Carnegie Mellon University, USA * Bud Mishra, New York University, USA * Maurizio Porfiri, New York University, USA * Yechiam Yemini, Columbia University, USA FEATURED SPEAKERS IN CO-LOCATED WORKSHOPS: * Emanuela Merelli, University of Camerino, Italy GENERAL CHAIRS: Jun Suzuki, University of Massachusetts, Boston, USA Tadashi Nakano, Osaka University, Japan Henry Hess, Columbia University, USA PC CHAIRS: William Casey, Carnegie Mellon University, SEI, USA Adriana Compagnoni, Stevens Institute of Technology, USA Simon Garnier, New Jersey Institute of Technology and Rutgers University Mario Koeppen, Kyushu Institute of Technology, Japan

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CFP: ICML Stamlins 2015
by Sanmi Koyejo April 5, 2015

April 5, 2015

(Please forgive us for cross posting - this may be of interest to some in this list) ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015) Submission Deadline: May 1, 2015 https://sites.google.com/site/stamlins2015/ Call for Papers ------------------------------------------------ In the last decade, machine learning has had a growing influence on neuroimaging data handling and analysis, making it an ubiquitous component of all kinds of data analysis procedures and software. While it is clear that machine learning has the potential to revolutionize both scientific discovery and clinical diagnosis applications, continued progress requires close collaboration between statisticians, machine learning practitioners and neuroscientists. Our workshop goals are to highlight best practices, disseminate the state of the art in high dimensional methods and related tools with a focus on application to neuroimaging data analysis, and to facilitate discussions to identify the key open problems and opportunities for machine learning in neuroscience. Topics of interest include: - exploratory and predictive modelling of high-dimensional correlated volumic data e.g. fMRI and PET with emphasis on: - applications to cognitive modelling and diagnosis - resting state analyses - interpretation and visualization of results - statistical analysis for parameter recovery - advances in scalable techniques and computational infrastructure - structured prediction problems in neuroscience e.g. multilabel classification for mental processes and network prediction. - de-noising and predictive modelling for brain-computer interfaces - source localization for EEG and MEG - deep learning and convolutional networks for neuroscience Invited Speakers ------------------------------------------------ Pradeep Ravikumar (University of Texas at Austin) Morten Mørup (Technical University of Denmark) Alexandre Gramfort (Ecole Nationale Supérieure des Télécomunications) Submissions ------------------------------------------------ We invite submissions for original papers that introduce new research developments, directions, frameworks, results, etc. in these and related areas. We also invite submissions of recently published high-quality work. Though, we note that preference will be given to original contributions. Potential participants may submit full papers (up to 8 pages in length in ICML format) or short papers (extended abstracts, 2-4 pages in length) by May 1, 2015 sent electronically via the online submission site: https://cmt.research.microsoft.com/SMLNS2015/Default.aspx Acceptance notification: May 10th, 2015 The workshop is semi-archival: materials will be published on the website with the authors permission. The authors retain the copyright and the rights to resubmit and publish at other venues. Organizing Committee ------------------------------------------------ Bertrand Thirion (Inria-CEA) Lars Kai Hansen (Technical University of Denmark) Sanmi Koyejo (Stanford University) For further information, please contact Sanmi Koyejo (sanmi(a)stanford.edu)

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Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2015
by Kerstin Schwarzwaelder April 2, 2015

April 2, 2015

Dear colleagues, for the sixth time, the Bernstein Association for Computational Neuroscience <http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2014 or 2015. The award comprises 500 € prize money, plus a travel grant of up to 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2015 in Heidelberg (www.bernstein-conference.de) and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is May 8, 2015 (5:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2015 For inquiries please contact info(a)bcos.uni-freiburg.de Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de

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IJNS Special Issue Call for Papers for "IWSP7: Epilepsy Mechanisms, Models, Prediction & Control"
by Levin Kuhlmann April 2, 2015

April 2, 2015

The International Journal of Neural Systems (IJNS; Impact Factor 6.056) will be publishing a special issue on work presented at the 7th International Workshop on Seizure Prediction "IWSP7: Epilepsy Mechanisms, Models, Prediction & Control" (www.iwsp7.org<http://www.iwsp7.org>) that will be held in Melbourne, Australia, during 3-6 August 2015. The IJNS Special Issue and "IWSP7: Epilepsy Mechanisms, Models, Prediction & Control" will focus on the engineering and science of epilepsy, covering basic mechanisms and imaging, computational modeling for analysis and prediction, and feedback control of epilepsy. Three key themes will be addressed. (1) Seizure prediction from months-to-years long recordings. (2) Model-based data assimilation for time series analysis, neuro-intervention, and feedback control. (3) Multi-modal neuroimaging and computational modelling to assess the spatial origin of seizures and the epileptic network at multiple scales. The following traditional IWSP themes will also be covered: automated seizure detection, prediction and control, seizure physiology mechanisms at multiple scales, high frequency oscillations, epileptic networks, and computational modeling of epilepsy. The call for papers for the special issue can be downloaded from the conference website at the following link: http://www.iwsp7.org/cfp/Epilepsy_Mechanisms_Models_Prediction_and_Control.… As described in the call for papers, invited speakers and researchers submitting the best abstracts to the IWSP7 conference will be invited to submit a manuscript by the IJNS editor-in-chief, Prof. Hojjat Adeli, and the guest editors, Dr Levin Kuhlmann, Prof. Mark J. Cook and Prof. David B. Grayden. We look forward to seeing you at IWSP7! On behalf of the local IWSP7 organizing committee Levin Kuhlmann, PhD David B. Grayden, PhD Mark J. Cook, MD Anthony N. Burkitt, PhD Dean R. Freestone, PhD Tatiana Kameneva, PhD Alan Lai, PhD Elma O'Sullivan-Greene, PhD Andre Peterson, BSc (hons) Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

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Postdoc positions at IBM Watson Research
by Irina Rish April 1, 2015

April 1, 2015

Computational Biology Department at IBM T.J. Watson is looking for several postdoctoral researchers; see the job descriptions below. Job description 1: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736440 IBM Research is undertaking a project to develop predictive models of neurological and psychiatric disease transitions based on patients’ speech samples and physiological recordings from wearable devices such as accelerometers, heart rate monitors and portable ElectroEncephaloGram (EEG) recorders. The goal of the project is to implement a high sampling frequency system monitoring easily available behavioral and physiological data, and relate these to established psychometric measures of disease, in order to provide neurologist and psychiatrists with high granularity information of the patients’ state, and actionable predictions of imminent transitions. The project will involve a tight collaboration with clinician s. Required Doctorate Degree At least 1 year experience in natural language processing or signal processing At least 1 year experience in Programming (Matlab, Python, C++) English: Intermediate Preferred At least 3 years experience in natural language processing or signal processing At least 2 years experience in Programming (Matlab, Python, C++) At least 2 years experience in psychology and psychiatry At least 2 years experience in cognitive science, big data analytics or wearable computing At least 2 years experience in machine learning English : Fluent Job description 2: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0736434 IBM Research is undertaking a project to characterize the progression of neurological diseases using multi-modal imaging techniques, combining state-of-the-art statistical learning and high-performance computing tools with physiological models and mechanistic interpretations. The ultimate goal of this project is to develop an integrative, multi-disciplinary approach to understand underpinning biological mechanisms of disease (e.g. Parkinson’s), as well as provide analytic tools with immediate clinical applicability. The project will involve a tight collaboration with neurobiology researchers and clinicians. IBM is seeking a Postdoctoral Researcher with a degree in neuroimaging, neuroscience, computer science, mathematics, physics, electrical engineering or similar fields. Candidates should have experience in high-throughput brain data modeling, machine learning for big data, computational neuroscience and neurobiology. Candidates with a background in relevant applied mathematics fields such as topological data analysis and optimization will also be considered. Required Doctorate Degree At least 1 year experience in brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography) Basic knowledge in programming (Matlab, Python, C++) English: Intermediate Preferred At least 3 years experience in brain imaging, analysis and modeling (magnetic resonance imaging, electroencephalography or magnetoencephalography) At least 2 years experience in programming (Matlab, Python, C++) At least 3 years experience in machine learning At least 3 years experience in brain imaging At least 3 years experience in biological psychiatry English : Fluent

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ANN: HoloViews 1.0 and ImaGen 2.0 released
by James A. Bednar March 31, 2015

March 31, 2015

We are pleased to announce the first public release of HoloViews, a free Python package for scientific and engineering data visualization: http://ioam.github.io/holoviews and version 2.0 of ImaGen, a free Python package for generating two-dimensional patterns useful for vision research and computational modeling: http://ioam.github.io/imagen HoloViews provides composable, sliceable, declarative data structures for building even complex visualizations of any scientific data very easily. With HoloViews, you can see your data as publication-quality figures almost instantly, so that you can focus on the data itself, rather than on laboriously putting together your figures. Even complex multi-subfigure layouts and animations are very easily built using HoloViews. ImaGen provides highly configurable, resolution-independent input patterns, directly visualizable using HoloViews but also available without any plotting package so that they can easily be incorporated directly into your computational modeling or visual stimulus generation code. With ImaGen, any software with a Python interface can immediately support configurable streams of 0D, 1D, or 2D patterns, without any extra coding. HoloViews and ImaGen are very general tools, but they were designed to solve common problems faced by vision scientists and computational modelers. HoloViews makes it very easy to visualize data from vision research, whether it is visual patterns, neural activity patterns, or more abstract measurements or analyses. Essentially, HoloViews provides a set of general, compositional, multidimensional data structures suitable for both discrete and continuous real-world data, and pairs them with separate customizable plotting classes to visualize them without extensive coding. ImaGen 2.0 uses the continuous coordinate systems provided by HoloViews to implement flexible resolution-independent generation of streams of patterns, with parameters controlled by the user and allowing randomness or other arbitrary changes over time. These patterns can be used for visual stimulus generation, testing or training computational models, initializing connectivity in models, or any other application where random or dynamic but precisely controlled streams of patterns are needed. Features: - Freely available under a BSD license - Python 2 and 3 compatible - Minimal external dependencies -- easy to integrate into your workflow - Declarative approach provides powerful compositionality with minimal coding - Include extensive, continuously tested IPython Notebook tutorials - Easily reconfigurable using documented and validated parameters - Animations are supported natively, with no extra work - Supports reproducible research -- simple specification, archived in an IPython Notebook, providing a recipe for regenerating your results - HoloViews is one of three winners of the 2015 UK Open Source Awards To get started, check out ioam.github.io/holoviews and ioam.github.io/imagen! Jean-Luc Stevens Philipp Rudiger Christopher Ball James A. Bednar -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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2015 NEURON Summer Course
by Ted Carnevale March 31, 2015

March 31, 2015

This year's NEURON Summer Course has two components that can be taken individually or together. NEURON Fundamentals, which runs from June 20-23, presents what you need to know to use NEURON to model individual neurons and networks of neurons, and introduces parallel simulation. Parallel Simulation with NEURON, which runs from June 24-26, is for users who already know how to write hoc or Python code for NEURON, and need to create models that will run on parallel hardware. Strategies for debugging, and measuring and improving performance, receive special attention. Because of its advanced nature, each day of "Parallel Simulation" includes a block of time in which participants can work on their own projects with expert help close at hand. Registration is limited, and the registration deadline is Friday, May 29, 2015. Discounts are available for applicants who sign up for both courses and/or register by April 20, 2015. For more information see http://www.neuron.yale.edu/neuron/static/courses/nscsd2015/nscsd2015.html --Ted

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BCF/NWG Course "Analysis and, Models in Neurophysiology" 2015 at the Bernstein Center Freiburg, Germany
by Birgit Ahrens March 31, 2015

March 31, 2015

BCF/NWG Course "Analysis and Models in Neurophysiology" Sunday, October 4 - Friday, October 9, 2015 Bernstein Center Freiburg, Hansastraße 9a, 79104 Freiburg, Germany Aim of the course: The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. The course includes various topics such as: - Neuron Models and Point Processes (Prof. Stefan Rotter) - Local field potentials (Prof. Ulrich Egert) - Neural Coding (Dr. Robert Schmidt) - Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and matching exercises using Matlab and Mathematica in the afternoon. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master students and PhD students (preferentially in their first year). Application: Please apply by sending one pdf document containing your CV and a meaningful letter of motivation to nwg-course(a)bcf.uni-freiburg.de. The letter of motivation should refer to the following points: - Reasons for wanting to take this course - Background in mathematics - Background in scientific programming - Experience in using Matlab and Mathematica - Background in neuroscience The course is limited to 20 participants. Course fees: NWG members - 50€, others - 125€ Application deadline: June 30, 2015 More information: http://www.bcf.uni-freiburg.de/events/conferences-workshops/20151004-nwgcou… -- *-- Dr. Birgit Ahrens --* Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559

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A "Brain Parts List" for Neurophysiologists - Neuroelectro.org
by Nathan Urban March 31, 2015

March 31, 2015

Dear Colleagues I wanted to alert you to a new publication and an associated resource. We just published a paper entitled: Brain-wide analysis of electrophysiological diversity yields novel categorization of mammalian neuron types in the Journal of Neurophysiology. The paper is available at: http://jn.physiology.org/content/jn/early/2015/03/20/jn.00237.2015.full.pdf Also you might be interested in the associated web site: http://neuroelectro.org The paper describes an approach to collect, compile, validate and analyze data from thousands of published papers describing neurophysiological properties of many types of neurons. In addition to the analyses that we performed, we believe that the data contained in this dataset should be of interest to the broad neurophysiology and modeling community. The data set also would benefit from scientists across the country and world providing feedback, proposing extensions, reporting errors etc. We appreciate any feedback or comments. Best, Nathan Urban - CMU Shreejoy Tripathy - CMU/UBC Shawn Burton - CMU Matt Geramita - U Pittsburgh Rick Gerkin - CMU/ASU -- __________________________________ Nathan Urban, Ph.D. Interim Provost Dr. Frederick A. Schwertz Distinguished Professor of Life Sciences Professor, Department of Biological Sciences Professor, Center for the Neural Basis of Cognition Carnegie Mellon University 4400 Fifth Ave (Biological Sciences) 5000 Forbes Ave (Provost's Office) Pittsburgh PA 15213 ph. 412-268-6684 fax 412-268-2330 http://www.cmu.edu/bio/f <http://www.andrew.cmu.edu/user/nurban/Lab_pages/> aculty/urban.html **For scheduling, please cc Barb Diecks (bdiecks(a)andrew.cmu.edu) on any email

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Programmer position at the Okinawa Institute of Science and Technology.
by Benjamin Torben-Nielsen March 30, 2015

March 30, 2015

The computational neuroscience unit (De Schutter unit) at the Okinawa Institute of Science and Technology has an opening for a programmer / technician on a neuroinformatics project. Initial duration is one year with an option to extend. Project description: Neuronal morphologies are usually studied in isolation. However, this is in contrast to reality were neurons develop in a dense substrate and actively interact with each other and their environment. Therefore, our group recently developed a computational framework -NeuroMaC- to study how interactions between developing neurons themselves and the environment shape dendrite and axon morphologies. A fully functional prototype of NeuroMaC was implemented in Python. NeuroMaC is designed as a parallel software and implemented using the ZeroMQ messaging library for concurrency. More information about the design and future roadmap of NeuroMac can be found here: http://b-torbennielsen.home.oist.jp/neuromac/neuromac.html#design-requireme… Job description: We seek for a programmer / technician to implement a new version of NeuroMaC using state-of-the-art parallel environments to improve on scalability, execution speed and flexibility. The candidate will be working in the lab headed by Prof. Erik De Schutter and under daily supervision of Dr. Ben Torben-Nielsen. The candidate will help in the final design of the framework and has to be flexible in incorporating additional features as research continues and new requirements are identified. Qualifications: The ideal candidate has extensive experience with parallel programming. We are particularly looking for candidates with experience of (dynamic) load-balancing. Experience with meshing software is a great plus and previous experience with neuroscience is appreciated (but not necessary). * Required: - Extensive experience in developing in Linux environments - Extensive experience in parallel programming (MPI, ZMQ) - Excellent communication skills in English and communication with multi-disciplinary teams - M.Sc. in computer science / physics / computational neuroscience or similar experience * Beneficial: - Familiarity with meshing software (TetGen, gmsh, Cubit, VTK) - Experience in an academic environment - Interest in neuroscience Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab. Academic contributions by technicians are honoured by authorship on relevant publications. Please contact Prof. Erik De Schutter (erik(a)oist.jp) or Dr. Ben Torben-Nielsen (b.torbennielsen(a)gmail.com) for inquiries. About the workplace: The Okinawa Institute of Science and Technology Graduate University (OIST) will become a model for change in education and research with the best international graduate students, working side by side with world-class faculty in modern well-equipped laboratories. Beautifully situated on the island of Okinawa, OIST relies on a cross-disciplinary approach, with an emphasis on creativity and exchange, to offer unique, individualized graduate training. OIST is a university with no departments, eliminating artificial barriers between people working in different fields, but many nationalities, with students and faculty being attracted from all over the world. Concentrating initially on Neuroscience, Molecular Sciences, Mathematical Sciences, Environmental and Ecological Sciences and Physical Sciences, OIST is bringing some of the best brains in the world to Okinawa to transform the way science and education is done in the global academic world. -- Dr. Ben Torben-Nielsen Computational Neuroscience Unit Okinawa Institute of Science and Technology

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Poster submission deadline extended to the Fifth International Symposium on Biology of Decision-Making, 11-13 May 2015 @ Paris, France
by Mehdi Khamassi March 30, 2015

March 30, 2015

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, The deadline for poster submission is extended to April 15th for the Fifth International Symposium on Biology of Decision Making (SBDM) which will take place in Paris, France, on May, 11-13th 2015. Poster submission and online registration can be done on the dedicated website: http://sbdm2015.isir.upmc.fr Please circulate widely and encourage your colleagues and team members to attend. ------------------------------------------------------------------------------------------------ FIFTH SYMPOSIUM ON BIOLOGY OF DECISION MAKING (SBDM 2015) May 11-13, 2015, Paris, France Institut du Cerveau et de la Moelle Epinière, Hôpital La Pitié Salpêtrière, Paris, France. & Ecole Normale Supérieure, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://sbdm2015.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Fifth Symposium on Biology of Decision Making will take place on May 11-13, 2015 at the Institut du Cerveau et de la Moelle Epinière, Paris, France, with a satellite day at Ecole Normale Supérieure, Paris, France. The objective of this three day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, neural and computational approaches) to decision-making. The symposium will be a single-track, will last for 3 days and will include 6 sessions: (#1) Beyond two: Multi-alternative and multi-attribute choices; (#2) Shaky business: Neural sources of choice variability; (#3) Looking for causality: Choice bias following brain manipulation; (#4) The dark side of choice: Delay, effort and punishment; (#5) Choosing the unknown: The route to exploration; (#6) More brains: Choice in social context. CONFIRMED SPEAKERS: Thomas Boraud (CNRS - Université Bordeaux 2, France) Colin Camerer (California Institute of Technology, USA) Peter Dayan (Gatsby Unit, University College London, UK) Mauricio Delgado (Rutgers University, USA) Sophie Deneve (CNRS - Ecole Normale Supérieure, France) Jan Drugowitsch (Université de Genève, Switzerland) Sylvie Granon (Université d'Orsay - CNRS, France) Hauke Heekeren (Freie Universität Berlin, Germany) Laurence Hunt (University College London, UK) Masud Husain (University of Oxford, UK) Quentin Huys (ETH Zurich - University of Zurich, Switzerland) Miriam Klein-Flügge (University of Oxford, UK) Brian Knutson (Stanford University, USA) Kenway Louie (New York University, USA) John O'Doherty (California Institute of Technology, USA) Mitsuhiro Okada (Keio University, Japan) Kerstin Preuschoff (University of Geneva, Switzerland) Emmanuel Procyk (CNRS - INSERM, France) Christian Ruff (University of Zurich, Switzerland) Aldo Rustichini (University of Minnesota, USA) Liane Schmidt (INSEAD, France) Christopher Summerfield (University of Oxford, UK) Mark Walton (University of Oxford, UK) Melissa Warden (Cornell University, USA) Valentin Wyart (Ecole Normale Supérieure, France) Makiko Yamada (National Institute of Radiological Sciences, Japan) IMPORTANT DATES: April 15, 2015 Extended deadline for Poster Submission April 30, 2015 Deadline for Registration May 11-13, 2015 Symposium Venue ORGANIZING COMMITTEE: Thomas Boraud (CNRS, Bordeaux, France) Sacha Bourgeois-Gironde (La Sorbonne, Paris, France) Kenji Doya (OIST, Okinawa, Japan) Mehdi Khamassi (CNRS - UPMC, Paris, France) Etienne Koechlin (CNRS - ENS, Paris, France) Mathias Pessiglione (ICM - INSERM, Paris, France) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://sbdm2015.isir.upmc.fr Contact: sbdm2015 [ at ] isir.upmc.fr / sbdm2015-registration(a)isir.upmc.fr -- Mehdi Khamassi, PhD Researcher (CNRS) Institut des Systèmes Intelligents et de Robotique (UMR7222) CNRS - Université Pierre et Marie Curie Pyramide, Tour 55 - Boîte courrier 173 4 place Jussieu, 75252 Paris Cedex 05, France tel: + 33 1 44 27 28 85 fax: +33 1 44 27 51 45 cell: +33 6 50 76 44 92 http://people.isir.upmc.fr/khamassi

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2 Postdoc Positions in the Frohlich Lab (UNC - Chapel Hill)
by Frohlich, Flavio March 28, 2015

March 28, 2015

Position 1: We are seeking to fill one postdoctoral position in slice electrophysiology in the Frohlich Lab (www.frohlichlab.org<http://www.frohlichlab.org>) at the University of North Carolina at Chapel Hill. We are a rapidly growing lab that aims to understand how cellular and synaptic mechanisms give rise to cortical network dynamics and how these dynamics can be modulated with brain stimulation. We have received grant funding to further grow our slice electrophysiology team in the lab. In particular, we are interested in understanding the role of propagation delays in network synchronization, the study of mesoscale network events by combining optogenetic stimulation and electrophysiology, and elucidating how temporally patterned brain stimulation alters network dynamics. The successful applicant will study such synaptic and intrinsic mechanisms of cortical network dynamics with cutting-edge in vitro slice electrophysiology strategies that combine 120 channel multielectrode array (MEA) electrophysiology, dual patch-clamp, optogenetic stimulation, and real-time closed loop hybrid systems. Requirements: The successful candidate has a PhD in neuroscience or related discipline and a track record of first class science demonstrated by first-author, peer-reviewed scientific articles in the area of in vitro neurophysiology. Documented skills in whole-cell patch clamp recordings are a prerequisite; programming and data analysis skills are essential. Please send your CV and a brief statement of research interest to flavio_frohlich(a)med.unc.edu. Also, please have two letters of recommendation directly submitted to the same email address. Position 2: We are seeking to fill one postdoctoral position in human electrophysiology in the Frohlich Lab (www.frohlichlab.org<http://www.frohlichlab.org>) at the University of North Carolina at Chapel Hill. We are a rapidly growing lab that aims to understand how cortical network dynamics emerge and how these dynamics can be modulated with brain stimulation. We have received grant funding to further grow our human electrophysiology team in the lab. In particular, we are interested in understanding how (feedback) non-invasive brain stimulation alters cortical network dynamics that mediate cognition. The successful applicant will employ tDCS/tACS, EEG, TMS, and cognitive testing for elucidating the functional role of cortical oscillations in cognition and for the development of novel strategies to enhance brain function and treat cognitive deficits in psychiatric disorders such as schizophrenia and autism. Requirements: The successful candidate has a PhD in neuroscience or related discipline and a track record of first class science demonstrated by first-author, peer-reviewed scientific articles in the area of human neurophysiology. Documented skills in EEG and cognitive assays are a prerequisite; programming and data analysis skills are essential. We will provide training in non-invasive brain stimulation methods. Please send your CV and a brief statement of research interest to flavio_frohlich(a)med.unc.edu. Also, please have two letters of recommendation directly submitted to the same email address. -- Flavio Frohlich PhD Assistant Professor Departments of Psychiatry, Cell Biology and Physiology, and Biomedical Engineering Neuroscience Center School of Medicine University of North Carolina at Chapel Hill

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