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Postdoctoral position in Computational Neuroscience at the Italian Institute of Technology to study origin and function of slow cortical oscillations
by Stefano Panzeri Dec. 9, 2015

Dec. 9, 2015

*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…> ).

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fully funded 4-year phd studentship - functional network analysis of EEG (application deadline next monday - 14th December!
by Allan, Dr Kevin Dec. 8, 2015

Dec. 8, 2015

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.

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PhD position in computational neuroscience available for project "Learning to hear with plasticity across multiple timescales" at Imperial College London
by Dan Goodman Dec. 8, 2015

Dec. 8, 2015

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

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IBM Journal of R&D, Special Issue on "Computational Neuroscience"
by James R Kozloski Dec. 8, 2015

Dec. 8, 2015

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

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IBM Research, Postdoctoral Entry Research Position
by James R Kozloski Dec. 7, 2015

Dec. 7, 2015

IBM Research is undertaking a project to characterize and implement models of the cortico-striato-thalamo-cortical system. This work will develop and implement models of systems in the normal and diseased brain, including portions of cerebral cortex, thalamus, basal ganglia, and dopaminergic nuclei, as point neuron network and then neural tissue simulations. The models will serve as a test bed for simulation studies in subsequent projects. Using these models, candidate system-level failure modes consistent with disease states will be identified and analyzed. Simulations will provide a tool for quantifying brain system homeostasis, evaluating risk, and developing potential strategies to mitigate the effects of disease. Categorization of simulated brain states and of key measurements from these states will be directed towards helping test several core hypotheses along with experimental collaborators. IBM is seeking a Post Doctoral Researcher with a degree in bioengineering, neuroscience, computer science, mathematics, physics or similar field. Candidates should have a proven neuroscience background, experience analyzing neural systems data, and the modeling and simulation of neural circuits, including neuroplasticity and conductance-based models. Preferred Candidates will have: Experience in computational neuroscience or data analytics Experience in neuroscience Basic knowledge in models of Neural Plasticity and Calcium Dynamics Experience in programming (C++, Matlab, Python) Please apply at the following IBM Careers - Job details link: https://krb-sjobs.brassring.com/tgwebhost/jobdetails.aspx?jobId=23341&Partn…

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Computational Neuroscience Graduate Positions available at the University of Minnesota
by David Redish Dec. 7, 2015

Dec. 7, 2015

*The Neuroengineering IGERT Training Program at the University of Minnesota, funded by the National Science Foundation, is inviting outstanding students to apply through the Graduate Program in Neuroscience or the Biomedical Engineering Program. The IGERT program is aimed at training the next generation of scientific and technical leaders in the interface of engineering and systems neurosciences, as broadly defined. The training themes include: * 1) Neural decoding - Computational and theoretical neuroscience and neuroengineering studies on decoding theory, methods, as pursued via animal models or human studies. Neuroimaging is also pursued as means of brain decoding. 2) Neural modulation - Mechanisms of neuromodulation in brains for both deep brain stimulation and transcranial stimulations. 3) Neural interfacing - Mechanisms of motor control and learning as applied to brain-machine interface, as pursued in animal models and humans. Outstanding training opportunities include mentoring by co-advisors from over 40 faculty across engineering and brain sciences, a new neuroengineering minor curriculum, industrial and international internships, and general stipend and tuition coverage. Visit the IGERT program website to find out more: http://www.igert-ne.umn.edu/ *==========================================================More information:Become the future of systems neuroengineering.* The University of Minnesota is home to an Integrative Graduate Education and Research Traineeship *(IGERT) program in Systems Neuroengineering*, sponsored by the National Science Foundation (NSF). Bright, high-achieving students who are admitted to a University of Minnesota’s Ph.D. program in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or Neuroscience are eligible for this prestigious training program. The program provides a generous stipend and tuition coverage as well as access to cutting-edge research in neuroengineering. Minnesota is also home to the largest collection of medical device manufacturers in the world and our program provides opportunities for IGERT trainees to gain practical experience working with these companies. Through our education and research-training model, students in our program learn to develop the skills to revolutionize neurotechnologies and advance our understanding of neuroscience processes underlying these technologies. *Program Faculty* The Systems Neuroengineering IGERT Program has over 40 outstanding faculty members who have made significant contributions to neural decoding, neuromodulation, neural interfacing, and neuroimaging research, and who are committed to graduate training. Many of them are world class leaders who have shaped where the field is in cutting-edge research, including noninvasive brain-computer interface controlling quadcopter, deep-brain stimulation, high field MRI imaging, and dynamic brain mapping. *Key Program Features* - Choice of research advisors from over 40 participating training faculty across engineering and brain sciences - Joint faculty mentoring and team advising of research - Tailored neuroengineering graduate curriculum - Lab rotations in engineering and basic/clinical brain sciences - Industrial internship rotations - Generous stipend ($30,000/year for up to two years on IGERT program) and tuition coverage *Eligibility Requirements* Trainees must be U.S. citizens or permanent residents who have been admitted to one of the four participating University of Minnesota doctoral programs: *Biomedical Engineering, Electrical Engineering, Mechanical Engineering,* and *Neuroscience.* For more information on this highly selective training program and how to apply, please visit our website at http://www.igert-ne.umn.edu/, or contact us at igert-ne(a)umn.edu.

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PhD in computational neuroscience at Oxford
by Rafal Bogacz Dec. 7, 2015

Dec. 7, 2015

Dear Colleagues, We are looking for a highly motivated and creative candidate for doctoral studies in computational neuroscience, to start in October 2016. The research project will employ computational methods to investigate how to best control neural circuits affected by Parkinson’s disease and essential tremor with different forms of electrical stimulation, such as "deep brain stimulation" or transcranial electric current stimulation. The work will involve building statistical or dynamical models that can predict responses to stimulation and inform on optimal stimulation protocols. This Ph.D. (D.Phil.) studentship is funded by the Medical Research Council and will cover Oxford University and College fees at the home/EU rate as well as providing a stipend at the current RCUK rates (£14,057 p.a.) for 3 years. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The closing date for applications is 12.00 noon on Friday 8th January 2016. More details can be found at: http://www.mrcbndu.ox.ac.uk/vacancies/phd-studentship-computational-neurosc… Best wishes, Rafal

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PhD Studentships in Computational Neuroscience at the University of Hertfordshire
by Torben-Nielsen, Benjamin Dec. 5, 2015

Dec. 5, 2015

PhD Studentships in Computational Neuroscience We welcome applications for a funded PhD position in the Biocomputation Research Group at the University of Hertfordshire. The successful applicant will work on a project related to modeling the structure and physiological function of the inferior olive. The inferior olive is an important part of the olivo-cerebellar circuitry as its axons, the climbing fibers, play a central role in all theories of cerebellar learning. Further, the inferior olive has been postulated to act as a clock for the brain. In this project, we aim to use an accurate structural model of the inferior olive to investigate, in silico, recent hypotheses related to the generation and maintenance of timing signals. An integral part of this project involves the further development of the NeuroMac software to generate structural models of the inferior olive. Please refer to the publication list of the Biocomputation Group website (http://biocomputation.herts.ac.uk/) for recent publications. Who are we looking for? - Candidates should have excellent programming skills (preferably also in Python) and familiarity with parallel and high-performance computing and visualization toolkits (such as VTK) is appreciated. - Candidates should possess great curiosity. - Candidates should be able to formulate their own questions about the circuitry and dynamics in the olivo-cerebellar system to direct their research efforts. Knowledge of neuroscience is a plus but the eagerness to learn about the brain and how to use scientific approaches (such as computational neuroscience and neuroinformatics) is considered pivotal. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Excellent Framework Assessment, with 50% of the research submitted being rated as world leading or internationally excellent.The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training and researcher development opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. The student will be supervised by Drs. Ben Torben-Nielsen (b.torben-nielsen(a)herts.ac.uk) and Volker Steuber (v.steuber(a)herts.ac.uk) to whom informal enquiries can be sent. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 28 December 2015. Dr. Ben Torben-Nielsen Senior Lecturer (Assistant professor) Biocompution Group University of Hertfordshire, UK

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CFP: 18th AAMAS International Workshop on Trust in Agent Societies (TRUST 2016)
by AAMAS TRUST 2016 Dec. 4, 2015

Dec. 4, 2015

------------------------------------------------------------------------------------------------------------------------ 18th International Workshop on Trust in Agent Societies http://ntu.us11.list-manage.com/track/click?u=07e4000aa14279005e8843364&id=… Co-located with AAMAS 2016 (http://ntu.us11.list-manage.com/track/click?u=07e4000aa14279005e8843364&id=…) May 9-13, 2016, Singapore (Workshop will be held either May 9 or May 10) ------------------------------------------------------------------------------------------------------------------------ Trust is important in many kinds of interactions, including direct or computer- mediated human interaction, human-computer interaction and among social agents; it characterizes those elements that are essential in social reliability. It also informs the selection of partners for successful multiagent coordination (for example, in robotics applications). Trust is more than communication that is robust against repudiation or interference. The reliability of information about the status of a trade partner, for example, is only partly dependent on secure communication. With the growing prevalance of social interaction through electronic means, trust, reputation, privacy and identity become more and more important. Trust is not just a simple, monolithic concept; it is multi-faceted, operating at many levels of interaction, and playing many roles. Another growing trend is the use of reputation mechanisms, and in particular the interesting link between trust and reputation. Many computational and theoretical models and approaches to reputation have been developed in recent years (for ecommerce, social networks, blogs, etc.). Further, identity and associated trustworthiness must be ascertained for reliable interactions and transactions. Trust is foundational for the notion of agency and for its defining relation of acting "on behalf of". It is also critical for modeling and supporting groups and teams, for both organization and coordination, with the related trade-off between individual utility and collective interest. The electronic medium seems to weaken the usual bonds of social control and the disposition to cheat grows stronger: this is yet another context where trust modeling is critical. The aim of the workshop is to bring together researchers (ideally from different disciplines) who can contribute to a better understanding of trust and reputation in agent societies. We welcome submissions of high-quality research addressing issues that are clearly relevant to trust, deception, privacy, reputation, security and control in agent-based systems, from theoretical, applied and interdisciplinary perspectives. Submitted contributions should be original and not submitted elsewhere. Papers accepted for presentation must be relevant to the workshop, and to demonstrate clear exposition, offering new ideas in suitable depth and detail. The scope of the workshop includes (but is not limited to): o Trust and risk-aware decision making o Game-theoretic models of trust o Deception and fraud, and its detection and prevention o Intrusion resilience in trusted computing o Reputation mechanisms o Trust in the socio-technical system o Trust in partners and in authorities o Trust during coordination and negotiation of agents o Privacy and access control in multi-agent systems o Detecting and preventing collusion o Trust in human-agent interaction o Trust and information provenance o Trust and identity o Trust within organizations o Trust, security and privacy in social networks o Trustworthy infrastructure and services o Trust modeling for real-world applications -------------------------------------------------------------- Important Dates (Firm Deadlines) o Submission deadline: February 15, 2016 o Notification: March 5, 2016 o Camera-ready deadline: March 10, 2016 ------------------------------------------------------------- Organising Committee o Jie Zhang, Nanyang Technological University, Singapore o Robin Cohen, University of Waterloo, Canada o Murat Sensoy, Ozyegin University, Turkey ------------------------------------------------------------- Steering Committee o Rino Falcone, ISTC-CNR, Roma, Italy (Chair) o Robin Cohen, University of Waterloo, Canada o Timothy Norman, University of Aberdeen, Scotland, UK o Munindar Singh, North Carolina State University, USA (Emeriti) o Suzanne Barber, University of Texas, USA (Emeriti) ------------------------------------------------------------- Programme Committee o Suzanne Barber, University of Texas, USA o Cristiano Castelfranchi, ISTC-CNR, Roma, Italy o Robert Demolombe, IRIT, Toulouse, France o Rino Falcone, ISTC-CNR, Roma, Italy o Hui Fang, Shanghai University of Finance and Economics, China o Siwei Jiang, Singapore Institute of Manufacturing Technology, Singapore o Catholijn Jonker, Delft University of Technology, The Netherlands o Audun Jøsang, University of Oslo, Norway o Yung-Ming Li, National Chiao Tung University, Taiwan o Churn-Jung Liau, Academia Sinica, Taiwan o Xin Liu, Institute for Infocomm Research, Singapore o Emiliano Lorini, IRIT, Toulouse, France o Tony T. Luo, Institute for Infocomm Research, Singapore o Stephen Marsh, University of Ontario Institute of Technology, Canada o Tim Muller, Nanyang Technological University, Singapore o Yuko Murayama, Iwate Prefectural University, Japan o Nir Oren, University of Aberdeen, Scotland, UK o Jordi Sabater-Mir, IIIA-CSIC, Barcelona, Spain o Chris Snijders, Eindhoven University of Technology, The Netherlands o Thomas Tran, University of Ottawa, Canada --------------------------------------------------------------- Invited Talk Title: Computational Trust with Subjective Logic Speaker: Professor Audun Jøsang, University of Oslo, Norway He is co-author of one of the first trust modeling systems, BRS. --------------------------------------------------------------- Submission and Publication Authors should submit original papers (maximum length 12 single-columned pages) in PDF through the Easychair system: http://ntu.us11.list-manage.com/track/click?u=07e4000aa14279005e8843364&id=… Formal proceedings of the workshop will be published through CEUR-WS.org. CEUR.org is a green open-access publisher. Authors of papers published in the proceedings retain copyright of their material. To enable us to produce this publication, authors are expected to use the LaTeX template provided on the workshop website. http://ntu.us11.list-manage.com/track/click?u=07e4000aa14279005e8843364&id=… The most "visionary paper" will be published by Springer in a book under the Lecture Notes in Artificial Intelligence (LNAI) - Hot Topics series. The book will be a compilation of the most visionary papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Additionally, the "best paper" will be published by Springer in a book under the Communications in Computer and Information Science (CCIS) series. The book will be a compilation of the best papers of the AAMAS-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Authors of the selected most visionary paper and the best paper are expected to provide their latex files promptly upon request. We also plan to invite some of the best papers from our workshop to be extended for a special issue in Journal of Trust Management (www.journaloftrustmanagement.com) ============================================== You are kindly recommended as researchers in the area of incentive and trust in e-communities. Unsubscribe comp-neuro(a)neuroinf.org from this list: http://ntu.us11.list-manage1.com/unsubscribe?u=07e4000aa14279005e8843364&id… Our mailing address is: NTU Nanyang Technological University 50 Nanyang Avenue, Singapore 639798 Shenyang, 21 110000 China Our telephone: Forward this email to a friend: http://us11.forward-to-friend.com/forward?u=07e4000aa14279005e8843364&id=92… Update your profile: http://ntu.us11.list-manage.com/profile?u=07e4000aa14279005e8843364&id=73d1…

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PhD in Mathematical modelling of neuronal activity in the nucleus reuniens: a thalamic region contributing to mammalian cognitive processing.
by Tsaneva-Atanasova, Krasimira Dec. 4, 2015

Dec. 4, 2015

EPSRC funded PhD in Mathmatics: Mathematical modelling of neuronal activity in the nucleus reuniens: a thalamic region contributing to mammalian cognitive processing. Ref: 2047 About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September, 2016. The studentships will provide funding for a stipend (currently £14,057 per annum for 2015/16), research costs of £3,000 and UK/EU tuition fees at Research Council rates for 3.5 years. Location: Streatham Campus, University of Exeter, EX4 4QJ Primary supervisor: Dr Ozgur Akman<http://emps.exeter.ac.uk/mathematics/staff/oea201> Secondary supervisors: Professor Krasimira Tsaneva-Atanasova (University of Exeter), Professor Andrew Randall (University of Exeter) The production of action potentials is a defining feature of the functional physiology of all excitable cells. Typically, only after firing a spike will a cell perform its task and, furthermore, the rate, timing and patterns of spike generation have important effects on the nature of the downstream events they trigger, for example neurotransmitter release. Hence, quantifying the characteristic features of action potential production in neurons is crucial in helping us to understand the normal functional physiology of nervous systems, as well as how these are altered during pathological conditions associated with disease. Based within the EPSRC Centre for Predictive Modelling in Healthcare, a £2M initiative bringing together mathematicians, statisticians and clinicians, you will work on a project aiming to develop in silico biophysical models of neural excitability in the mammalian nucleus reuniens (NRe). This area within the thalamus is receiving increased attention from neuroscientists, (including both the 2013 and 2014 Nobel Laureates in Physiology and Medicine; see Xu and Sudhoff (2013), Science 339, 1290-5 and Ito et al. (2015) Nature 522, 50-5). Through its robust connectivity to structures such as the hippocampus and prefrontal cortex, this midline thalamic nucleus is involved in both spatial and cognitive processing. It is also a key site of pathology in Korsakoff’s syndrome (aka amnesic-confabulatory syndrome), a form of dementia. Recent ongoing work in the Randall lab at Exeter has generated a large body of novel electrophysiological data that details the core electrical excitability of neurons in the nucleus reuniens, in both normal adult animals and rodent disease models. These datasets are supported by additional biophysical characterisations of the gating of some of the key underpinning ion channels in NRe neurons. These experimental data will form the basis for the computational models that this project will generate, models that will probe the mechanisms that govern the physiological spiking and bursting dynamics of NRe cells. The ultimate goal is to both better understand normal physiological NRe function, and to identify possible interventional routes through which abnormal NRe activity observed in disease models can be normalised toward the neurophysiological signatures presented by healthy tissue. Mathematical analysis and numerical/computational techniques will be applied to study the behaviour of the system in normal and pathological conditions. The computational component of the project will include the use of multi-objective evolutionary algorithms to optimise the parameters of the model to data, and the use of bifurcation analysis software. Application Criteria Applicants should have or expect to achieve a 2:1 Honours degree, or equivalent, in Mathematics, Physics, Natural Sciences, Medicine or other numerate discipline. The closing date for applications if midnight on 4 January, 2016. Interviews will be held at the University of Exeter mid-late January, 2016. For further information, or an informal discussion about the position, please contact Dr Ozbur Akman, e-mail: O.E.Akman(a)exeter.ac.uk<mailto:O.E.Akman@exeter.ac.uk>. Summary Application deadline: 4th January 2016 Value: £14,057 per annum plus UK/EU fees for eligible students (2015-16 rates) Duration of award: per year Contact: Postgraduate Research Office emps-pgr-ad(a)exeter.ac.uk<mailto:emps-pgr-ad@exeter.ac.uk> How to apply Please visit www.exeter.ac.uk/postgraduate/money/studentships/application/<http://www.exeter.ac.uk/postgraduate/money/studentships/application/> and complete the online web form. You will be asked to submit some personal details and upload a full CV, covering letter and details of two academic referees. Your covering letter should outline your academic interests, prior research experience and reasons for wishing to undertake this project. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298 ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent http://www.euromov.eu/alterego/homepage

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