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PhD student position in Computational Vision - Video Analysis at KTH in Stockholm

by Tony Lindeberg

PhD student position in Computational Vision - Video Analysis at KTH in Stockholm Job description The position is in the area of Computational Vision — the science of understanding the computational mechanisms underlying visual perception and of equipping computers with visual perceptual abilities to make them see. The goal of this specific project is to develop new approaches for computing image features in terms of receptive fields for analyzing spatio-temporal image data (video or real-time image streams) in a theoretically well-founded manner for purposes in computer vision and computational modelling of biological vision. The main focus is specifically on developing computational vision methods for video analysis that are based on image operations in terms of time-causal and time-recursive spatio-temporal receptive fields, which only make use of information from the present moment and a compact buffer of what has occurred in the past, for which we have recently developed a novel theoretical scale-space framework at KTH. The main work to be done concerns: (i) extending this framework to different types of spatio-temporal feature detection tasks, (ii) integrating the framework into higher-order visual tasks and (iii) evaluating the performance on benchmark problems as a guide to further developments. There are possibilities of working theoretically (mathematically), algorithmically and experimentally in close collaboration with the supervisor. An overview of the research environment can be found at https://www.kth.se/profile/76171/page/computational-vision-at-csc-kth. Qualifications The candidate should have a strong computationally oriented background. The preference is for a candidate with a Master's degree in Engineering Physics or Computer Science with focus towards applied mathematics, computer science and numerical computations or a MSc/MEng education leading to similar skills. Good knowledge about computer vision and machine learning is a strong merit. The candidate should have good analytical abilities to work individually on problem solving and in good collaboration with the supervisor, specifically of working systematically and with good communication skills being able to present the results in writing and at scientific meetings. Good programming skills are necessary with the ability of working both with algorithm development in Matlab and if necessary complementing by more efficient implementations in C or C++. Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis and also possess good levels of cooperative and communicative abilities. Department information The position belongs to the Computational Brain Science group in the recently merged departments of Computational Biology and High Performance Computing and Visualization at the School of Computer Science and Communication. For more information visit https://www.kth.se/en/csc/forskning/cb. Additional information For further information and details about how to apply, please see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:82576/ The deadline for applications is on January 17, 2016. [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology School of Computer Science and Communication Department of Computational Biology SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 http://www.csc.kth.se/~tony

Dec. 10, 2015

ACAN 2016 - Call for Applications

by Geoff Goodhill

Graduate students and postdoctoral fellows interested in using electrophysiological and optical techniques in their research are encouraged to apply for the Australian Course in Advanced Neuroscience (ACAN) 2016, which will be held from 10th to 30th of April 2016 at the Moreton Bay Research Station, North Stradbroke Island, Queensland, Australia. ACAN is an intensive three-week course that guides participants through the theory and practice of electrophysiological recording and optical imaging techniques using a unique balance of small group lectures and hands-on laboratory work. Lectures from leading faculty will outline in an informal atmosphere the theoretical basis of cellular and systems neuroscience, and the principles of electrophysiological and optical recording techniques. During the course each participant will become proficient in patch-clamp recording, both in vitro and in vivo, calcium imaging, optogenetics, and many other techniques through unbridled access to state-of-the-art equipment, guided by the faculty. The course is also a lot of fun, with many ACAN students developing close friendships and collaborations during and after the course. In 2016 ACAN faculty will include: Cliff Abraham Ehsan Arabzadeh George Augustine Brad Baker John Bekkers Yossi Buskila Vincent Daria Alan Finkel Andreas Frick Yukiko Goda Geoff Goodhill Brett Graham Maarten Kole Matthew Larkum Joe Lynch Peregrine Osborne Lucy Palmer Steve Petrou Chris Reid Mala Shah Stephen Williams Twelve students will be selected to attend ACAN 2016. The application deadline is Monday 11th Jan 2016. For full details about the course, including the program, please visit: http://acan.qbi.uq.edu.au <http://acan.qbi.uq.edu.au/> In order to apply for ACAN 2016, you must: be a currently-enrolled PhD student, a postdoctoral fellow, or junior faculty (preferably with no more than 5 years after completing your PhD). Preference will be given, but is not exclusive, to those who are full-time residents of Australia or NZ (but you do not need to be a citizen or permanent resident of those countries). In your application you should include: - a completed application form (obtained from http://acan.qbi.uq.edu.au <http://acan.qbi.uq.edu.au/>) - your CV. - a covering letter that clearly states how you will apply the skills taught at ACAN to your research. - a reference from your supervisor, including a confirmation that funds are available to allow you to attend the course. - The fee for ACAN 2016 is A$4500, which covers all meals, accommodation, laboratory supplies and teaching materials. Scholarships from the Neurological Foundation of New Zealand are available for NZ citizens/permanent residents. Please send applications to: Prof Stephen Williams Queensland Brain Institute Email: srw(a)uq.edu.au <mailto:srw@uq.edu.au> http://www.qbi.uq.edu.au/group-leader-williams <http://www.qbi.uq.edu.au/group-leader-williams>

Dec. 10, 2015

IWSP7/ME@MBC talks now online

by Levin Kuhlmann

A selection of the talks from "IWSP7: Epilepsy Mechanisms, Models, Prediction & Control" and the overlapping "Melbourne Epilepsy" (ME@MBC) meeting held at the University of Melbourne, Australia, during 3-7 August 2015 are now online on the IWSP7 YouTube Channel at the following link: https://www.youtube.com/channel/UCy_d33ZB6xL7Cx8-eN7Fwxg/playlists Re-live the action, or share it with your friends or colleagues. On behalf of the local 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, PhD Email: organizingcommittee(a)iwsp7.org<mailto:organizingcommittee@iwsp7.org>

Dec. 10, 2015

post-doc position at the center for sleep and consciousness in the integrated information theory (IIT) group (Prof. Giulio Tononi)

by Larissa Albantakis

*Post-doc position(s) at the Center for Sleep and Consciousness * Prof. Giulio Tononi, University of Wisconsin, Madison Several postdoctoral positions are available at the center for sleep and consciousness science in the laboratory of Prof. Giulio Tononi (University of Wisconsin, Madison, http://integratedinformationtheory.org/) to study information and causation within the framework of the integrated information theory. Immediate funding is available for a range of projects on foundational questions regarding information, causation, emergence, adaptation, evolution and complexity, especially in the context of neural networks. Candidates are expected to have strong training in an analytically rigorous discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. We explicitly encourage mathematicians to apply. Experience in information theory, complex systems, and an interest in the philosophy of causation are a plus. Programming experience is required (knowledge of MATLAB, Python, and/or C++ is of advantage). Appointments are renewable from year to year for up to 3 years, starting as soon as possible or until the positions are filled. Post-doc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Giulio Tononi, gtononi(a)wisc.edu. For more information contact Larissa Albantakis (albantakis(a)wisc.edu) or William Marshall (wmarshall3(a)wisc.edu) Albantakis L, Hintze A, Koch C, Adami C, Tononi G (2014) Evoluation of Integrated Causal Structures in Animats Exposed to Environments of Increasing Complexity. PLoS Comput Biol 10(12):e1003966 Oizumi M, Albantakis L, Tononi G (2014) From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLoS Comput Biol 10(5):e1003588 Hoel EP, Albantakis L, Tononi G (2013) Quantifying causal emergence shows that macro can beat micro. PNAS, 110(49), 19790–19795. Albantakis L, Tononi G (2015) The Intrinsic Cause-Effect Power of Discrete Dynamical Systems—From Elementary Cellular Automata to Adapting Animats. Entropy 17.8 (2015): 5472-5502. -- Larissa Albantakis, PhD Department of Psychiatry University of Wisconsin 6001 Research Park Blvd Madison, WI 53719

Dec. 9, 2015

Announcement: Groningen Spring School on Cognitive Modeling

by Jelmer Borst

Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs, & Accumulator Models – Date: April 4-8, 2016 Location: Groningen, the Netherlands Fee: € 200 (late fee €50 after January 31) Registration: www.ai.rug.nl/springschool <http://www.ai.rug.nl/springschool> The Groningen Spring School on Cognitive Modeling will cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and Accumulator models. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches. Each day will consist of four theory lectures, one on each paradigm. Each modeling paradigm also includes hands-on assignments. Although students are free to chose the number of lectures they attend, we recommend students to sign up for lectures on two of the modeling paradigms, and complete the tutorial units for one of the paradigms. At the end of each day there will be a plenary research talk, to show how these different approaches to modeling are applied. Admission is limited, so register soon! ACT-R Teachers: Jelmer Borst, Hedderik van Rijn, Niels Taatgen (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI, and the timing extension to ACT-R. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: http://www.ai.rug.nl/~niels/actransfer.html <http://www.ai.rug.nl/~niels/actransfer.html> How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. Accumulator Models Teacher: Marieke van Vugt (University of Groningen) Decisions can be described in terms of a process of evidence accumulation, modeled with a drift diffusion mechanism. The advantage of redescribing the behavioral data with an accumulator model is that those can be decomposed into more easily-interpretable cognitive mechanisms such as speed-accuracy trade-off or quality of attention. In this course, you will learn about the basic mechanisms of drift diffusion models and apply it to your own dataset (if you bring one). You will also see some applications of accumulator models in the context of neuroscience and individual differences.

Dec. 9, 2015

PhD studentship in visual decision making

by Ronald van den Berg

Applications are invited for a 4-year PhD student position on visual decision making at the department of Psychology at Uppsala University. The project investigates how humans make decisions under multiple simultaneous sources of uncertainty, by means of computational and psychophysical methods. Applicants should have a master’s degree in psychology or a related field. Experience with statistical models and computer programming is highly desirable but not necessary. More information about the position and the application procedure can be found at http://www.uu.se/en/about-uu/join-us/details/?positionId=82654. The deadline for application is 4 January 2016. Informal inquiries are welcome at ronald.vandenberg(a)psyk.uu.se.

Dec. 9, 2015

Postdoctoral position in Computational Neuroscience at the Italian Institute of Technology to study origin and function of slow cortical oscillations

by Stefano Panzeri

*Postdoctoral position in Computational Neuroscience at the Italian Institute of Technology to study origin and function of slow cortical oscillations* We are soliciting applications a new postdoctoral position in computational neuroscience in the newly established and highly interdisciplinary Neural Coding Laboratory at the IIT. This laboratory, jointly supervised by Stefano Panzeri and Tommaso Fellin, aims at combining experiments and mathematics to crack the neural code. The successful candidate will develop and use tools for the analysis of joint recordings of field potentials and single-neuron activity from genetically identified cell types in the cortex to understand the causal contribution of specific cellular subpopulations to the generation of slow oscillations. The project will also require the development of computational models that may explain the contribution of specific cell types to slow oscillations. The laboratory offers a range of strongly interdisciplinary and highly complementary expertise including computational neuroscience, electrophysiology and optogenetics. The successful candidate will have the opportunity to analyze experimental data and to suggest causal manipulations based on the predictions that arise from the theoretical work. The applicants should have a strong background in numerate sciences, be highly independent and have a strong propensity for interdisciplinary research. Experience in or understanding of experimental neuroscience is desirable, but not necessary. Candidates must hold a PhD in computational neuroscience, (bio)-physics, (bio)-engineering or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the PIs please see Zuo et al. Cur. Biol. 2015; Panzeri et al. Trends Cogn. Neurosci. 2015; Bovetti and Fellin, J. Neurosci. Methods 2015; Einevoll et al. Nat. Rev. Neurosci. 2013; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters and statement of research interest) should be sent by email to Dr. Stefano Panzeri ( stefano.panzeri(a)iit.it <https://mail.iit.it/owa/redir.aspx?C=oajclq8rPE6FcMCJ-lI1Hsu55NFH69II9YBluB…>) and Dr. Tommaso Fellin (tommaso.fellin(a)iit.it <https://mail.iit.it/owa/redir.aspx?C=oajclq8rPE6FcMCJ-lI1Hsu55NFH69II9YBluB…> ).

Dec. 9, 2015

fully funded 4-year phd studentship - functional network analysis of EEG (application deadline next monday - 14th December!

by Allan, Dr Kevin

A fully-funded 4-year phd studentship (start date: October 2016) is available at the University of Aberdeen, Scotland, to work in the School of Psychology EEG Laboratory with Dr Kevin Allan and Professor Bjoern Schelter. Please note the tight deadline for applications: Monday, 14th December! The position is open to UK/EU nationals only. More details below (or see http://www.abdn.ac.uk/clsm/graduate/research/psychological-states-1135.php) If you are interested, and want to find out more, please get in touch with me (Kevin Allan, k.allan(a)abdn.ac.uk) Title: Investigating functional brain networks and psychological states in real-time We are looking for a highly numerate individual, ideally one experienced with EEGlab, matlab, mathematica or R, to help us implement a novel EEG network analysis tool, and then test it in a series of studies examining encoding and retrieval networks involved in episodic memory. The project is a cross-disciplinary collaboration between Dr Allan, a cognitive neuroscientist based in the Aberdeen School of Psychology, and Prof. Schelter, a physicist based in the Aberdeen Institute for Complex Systems and Mathematical Biology. The project also has the backing of an industrial partner, Tau-Rx, a University of Aberdeen spinout company working on pharmacological treatments for dementia, and the student will be offered a substantial placement with Tau-Rx during their PhD where the opportunity will be given to apply skills learned to estimate functional network structure in patients and healthy controls from clinical EEG data. A key element of the project is to optimise and implement a new, highly efficient network analysis tool to perform Granger causality analysis upon data as it is being collected, and to display the outputs of the model within a bespoke visualisation tool. This will require training in the matlab and mathematica software packages, EEG data collection hardware and software, as well as the mathematical basis of the analysis, all of which will be provided by Dr Allan, Prof. Schelter and their post-docs. The EEG Lab in the School of Psychology contains all the necessary EEG recording hardware, software and expertise to support the project. In years 2 - 4 the student will receive further scientific and business-related training during a placement with the industrial partner, Tau-Rx. During their placement the student will be given the opportunity to work with a team of researchers involved in the analysis of EEG data from clinical trials of drug therapies for Alzheimer's and fronto-temporal dementia. The University of Aberdeen is a charity registered in Scotland, No SC013683. Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683.

Dec. 8, 2015

PhD position in computational neuroscience available for project "Learning to hear with plasticity across multiple timescales" at Imperial College London

by Dan Goodman

A PhD position is available as part of the Neurotechnology centre for doctoral training at Imperial College London, jointly supervised by Dan Goodman, Paul Chadderton, Claudia Clopath and in collaboration with Agnes Leger: - http://neural-reckoning.org/ - http://www.bg.ic.ac.uk/research/p.chadderton/ChaddertonLab/Home.html - http://www.bg.ic.ac.uk/research/c.clopath/ - http://www.psych-sci.manchester.ac.uk/staff/Agnes.Leger The title of the project is "Learning to hear with plasticity across multiple timescales", and it aims at understanding how the brain adapts and learns to cope with difficult listening situations (e.g. a crowded pub or restaurant), and applying this to developing new technology (e.g. for speech recognition). It will involve (1) developing mathematical and computational models of hearing and neural adaptation and plasticity, (2) experimental testing (including animal electrophysiology and human psychoacoustics), and (3) technology development for speech recognition, hearing aids and cochlear implants. The candidate should be willing to learn experimental techniques (animal electrophysiology and/or human psychophysics), but is not required to have any previous experience. The PhD programme is fully funded for four years, of which the first year is a taught MRes course. In addition to working within the centre, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial (recently ranked 8th in the world in the QS world university rankings) and in the many neuroscience groups in London. Note that unfortunately funding for non-UK/EU residents is quite limited and there will therefore be stronger competition for these places. For more details on this project, the centre, and how to apply: http://www.imperial.ac.uk/neurotechnology/cdt/projects/hear_with_plasticity/ Dan Goodman

Dec. 8, 2015

IBM Journal of R&D, Special Issue on "Computational Neuroscience"

by James R Kozloski

Call for Papers IBM Journal of Research and Development Special Issue on "Computational Neuroscience" Overview Understanding the brain's dynamics is of central importance to neuroscience. Our ability to observe, model, and infer from neuroscientific data the principles and mechanisms of brain dynamics will determine our ability to understand the brain's unusual cognitive and behavioral capabilities. In the nearer term, analysis and prediction of changes to these dynamics, observed in vast new datasets and rendered in large scale simulations, are beginning to facilitate applications in important societal areas such as education, aging, assistive technology, and the treatment of disease. The explosion in new data about brain and neural tissue dynamics and development leads us to propose this special issue of the IBM Journal of Research and Development, which will emphasize new solutions, models, capabilities, and other technologies that advance the analysis of neuroscientific data and the application of predictive models to anticipate changes in brain function, cognition, and behavior. We solicit Abstracts (paper proposals) in the following areas: Potential Focus Areas for Papers Applications of machine learning algorithms to prediction in neuroscience Analysis of behavioral dynamics Analysis of brain and neural circuit image and time-series data Analysis of physiological data Models and computational simulations of brain and neural circuit dynamics Applications of models for better understanding of mental health, real-world behaviors, and perceptual and cognitive states The development of assistive technologies based on cognitive or brain-inspired models IBM Journal Manuscript Preparation Guidelines The Journal is peer reviewed -- all papers will be sent to several experts to be reviewed before a final publication decision is made. All papers must place the described research and results in perspective by carefully citing relevant related scientific work. Contact Cliff Pickover (cliffp(a)us.ibm.com ), or visit the journal web site, for the manuscript preparation template: http://www.research.ibm.com/journal/rdauth.html Contact Information Guest editors for the issue are James Kozloski and Guillermo Cecchi. Authors should indicate their interest in submitting a paper by sending a preliminary abstract to journal Editor-in-Chief Cliff Pickover ( cliffp(a)us.ibm.com) copying co-guest editor James Kozloski ( kozloski(a)us.ibm.com) -- by January 15, 2016. You must submit an abstract to be considered for this issue, and we will notify you when your abstract is accepted. Important Deadlines and Schedule - January 15, 2016: Preliminary Abstracts Due (tentative article title, author names/affiliations, 1 paragraph description) - May 15, 2016: Final Paper Draft Due (if your abstract is accepted) - March, 2017: Special Issue Published (every paper will be on-line by this date) ____________________________________________ James Kozloski Research Staff Member Master Inventor T.J. Watson Research Center 1101 Kitchawan Rd., 13-132E Yorktown Heights, NY 10598 Tel +1 914 945 3982 Mobile +1 203 231 6187 ibm.co/kozloski

Dec. 8, 2015