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Researcher position at ATR Brain Labs (Kyoto, Japan)
by Haruo HOSOYA 01 Dec '16

01 Dec '16

Dear all, ATR Brain Labs in Kyoto, Japan has two open positions in computational visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories Open researcher positions at ATR Brain Labs., Kyoto, Japan ============================================ Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers in computational visual neuroscience. Our institute has a long tradition in computational neuroscience and has recently been promoting theoretical studies of hierarchical vision models based on statistical learning theory (a.k.a. deep learning), with the emphasis on the bidirectional (feedforward and feedback) computation in the visual cortex. We seek for autonomous and motivated applicants who are interested in working on this research theme in collaboration with our research group. Haruo Hosoya, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan 2016, December Project outline --------------------- It is well known that, in the visual cortex, a number of visual areas form a hierarchy with low-level to high-level feature representations, and perform bidirectional interactions through the feedforward and feedback circuitry. Such bidirectional computation has conventionally been considered to play roles in visual perception, imagery, information completion, selective attention, etc. However, our research group is considering that bidirectional computation may be far more essential in the visual system than previously thought. For example, we have recently released a theoretical model that proposes a potential role of bidirectional computation in visual representations of objects and facts in the higher visual cortex (http://dx.doi.org/10.1101/086637) We will continue to pursue other roles of the bidirectionality in various visual functions of the brain through developing new computational models based on learning theory and evaluating their visual processing capability, performance, and explainability of neuroscientific data. Furthermore, we are also interested in building a larger-scale hierarchical visual model that integrates various computational models developed in our group as well as pursuing its applicability in realistic problems. More on the project can be seen here: http://www.cns.atr.jp/~hosoya/project_outline.pdf. What's ATR? ------------------ ATR is a private company specialized to basic science founded in 1986. It is renowned for its long and unique tradition of computational neuroscience since the foundation, emphasizing the importance of mathematical understanding of computation in the brain for the technological innovation. Research in ATR is highly international and involves a number of scientists from all over the world for collaboration. The institute is located in Keihanna scientific city surrounded by the second largest city of Japan, Osaka, and two beautiful old capitals of Japan, Kyoto and Nara. Requirements for Researchers ----------------------------------------- Applicants must have a Ph.D. or be expected to get one before starting the job. The applicants are required to show expertise in a mathematical area, as well as strong interest in neuroscience and good programming experience. In particular, expertise in machine learning will be considered important. Additional knowledge in computation vision and computational neuroscience will also be welcome. Number of openings --------------------------- Two Employment conditions -------------------------------- Position : Full-time Researcher Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Application materials ---------------------------- Please submit the following five materials to the contact address below, either in a printed or in an electronic form: • 1 CV • 2 List of publications • 3 Reprints of 1-3 major publications of past projects • 4 Essay (up to two pages in A4 or letter size) describing summary of your previous research, interest in our project, and other skills and experiences potentially useful for research. • 5 Recommendation letters from two or more researchers * If submitted in printed form, original documents will not be returned. Judging system --------------------- After documentary examination, we ask for presentation and interview if needed. Starting date -------------------- Soon (negotiable) Deadline for application --------------------------------- Opens until positions are filled. Contact ----------- Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Use of personal data ---------------------------- All personal data received will be properly managed and only be used for the purpose of recruitment.

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Engineer/Post-doc in Computational Neuroscience
by Irene Yujnovsky 30 Nov '16

30 Nov '16

*Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by December 31^st 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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Postdoctoral Position: Modeling of aging cortical networks
by Christina M. Weaver 30 Nov '16

30 Nov '16

Postdoctoral Position: Modeling of aging cortical networks A postdoctoral research fellowship in computational neuroscience is available to work with Christina Weaver (Dept. of Mathematics, Franklin & Marshall College, Lancaster, PA). The postdoctoral fellow will be a vital member of the interdisciplinary research team led jointly by Dr. Weaver, Dr. Jennifer Luebke (Dept of Anatomy & Physiology, Boston University School of Medicine, Boston MA), and Dr. Patrick Hof (Dept. of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY). The research will explore structural and functional abnormalities of cortical neurons in middle-aged rhesus monkeys, and the extent to which intervention with a powerful antioxidant affects age-related dysfunction. The new postdoctoral fellow will build computational models of small cortical networks, constrained by our recent computational results and empirical studies in the Luebke and Hof laboratories. Our joint publications include: Amatrudo et al., J. Neurosci.(2012), PMID 23035077; Luebke et al., Cerebral Cortex (2015), PMID 24323499 and Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692. The postdoc will travel occasionally to Boston and/or New York City as part of this collaboration. The postdoc will also have funds to support conference travel, professional development, and full access to campus services including F&M's Faculty Center. Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling, imaging, and physiological experiments in neuroscience research. Initial appointment for this position is for one year, and may be extended contingent upon funding. Review of applications will begin immediately and will continue until the position is filled. Requirements: - PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required. - Excellent written and verbal communication skills are required. - Experience with differential equations-based mathematical models or automated parameter optimization is required. - Experience with conductance-based modeling of single neurons, or small networks, and/or NEURON compartmental modeling software is preferred. An extended job posting and link to apply is available at https://fandm.interviewexchange.com/jobofferdetails.jsp?JOBID=79194

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Research Fellow Position in Neuroinformatics
by Leon French 30 Nov '16

30 Nov '16

The Computational Neurobiology Laboratory at CAMH seeks a postdoctoral fellow to join our efforts to understand brain disease. We focus on mining datasets of connectivity, gene expression and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales, modalities, and species. We seek one postdoctoral fellow interested in bioinformatics and neuroscience. The primary project will be to create, explore, and test methods for mapping many genes across neuroanatomy and brain development. Given the polygenic complexity of mental illness, there are many exciting applications for these methods. Our current applications use genes associated with Parkinson’s disease, aging (collaboration with Dr. Etienne Sibille) and intellectual disability (with Dr. John B. Vincent). In addition to this project, there would be opportunities to pursue other research interests. Some of our frequently used keywords give a good description of our work: neuroinformatics, molecular neuroanatomy, genetics, epigenomics, population neuroscience, transcriptomics, machine learning, text mining, neuroimaging, software development, and connectomics. The ideal candidate should have a PhD in computational biology, bioinformatics, computer science or related field with extensive knowledge in genome-wide data integration. Significant interest in neuroscience and experience working with large datasets are requested. Writing manuscripts and applying for independent grants and fellowships will be strongly encouraged. Highly motivated individuals (Ph.D. and/or M.D.) should submit a curriculum vitae, names of 3 references and a cover letter explaining their interest, and a brief description of research experience. Send information to Leon French at leonfrench+recruit(a)gmail.com You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable and regulatory requirements. This position will be located at 250 College Street, Toronto.

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Poostdoctoral Position - Jorge Riera on Behalf of Dr. Zachary Danziger) (Applied Neural Interfaces)
by Jorge Riera Diaz 30 Nov '16

30 Nov '16

POSTDOCTORAL RESEARCH ASSOCIATE POSITION A postdoctoral research position is available to develop validation systems and decoding algorithms for brain-computer interface applications. Investigations will take place at the Applied Neural Interfaces Laboratory in Florida International University's Department of Biomedical Engineering, which is housed in the College of Engineering and Computing. The position entails software development, conducting human behavioral studies, and algorithm design with the goal of advancing the frontiers of brain-computer interface research and understanding the relationship between human users and adaptive controllers. The postdoctoral scholar will be expected to lead experiment design and data analysis efforts as well as participate in guiding the overall intellectual direction of the project. The position will allow the postdoctoral researcher the opportunity to creatively develop new solutions to challenging problems related to the neuroscience of braincomputer interfaces using state-of-the-art algorithms, advanced computing equipment, and virtual reality hardware. Applicants should have a Ph.D. in biomedical engineering, neuroscience, or a related field and have experience with MATLAB. For information about related projects see: https://anil.fiu.edu/ Qualified candidates are encouraged to apply to Job Opening ID 512642 at facultycareers.fiu.edu or directly to the Principal Investigator, Dr. Zachary Danziger (Zachary.Danziger(a)fiu.edu) with a letter of interest, curriculum vitae, and the names and contact information for at least 3 references. To receive full consideration, applications and required materials should be received by December 30th. Review will continue until position is filled. FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Florida International University is classified by Carnegie as a R1: Doctoral Universities - Highest Research Activity and recognized as a Carnegie engaged university. It is a public research university with colleges and schools that offers 196 bachelor's, master's and doctoral programs in fields such as engineering, computer science, international relations, architecture, law and medicine. As one of South Florida's anchor institutions, FIU contributes almost $9 billion each year to the local economy. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and three centers including FIU Downtown on Brickell, FIU@I-75, and the Miami Beach Urban Studios. FIU's Medina Aquarius Program houses the Aquarius Reef Base, a unique underwater research facility in the Florida Keys. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and has more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/. Jorge Riera, PhD Associate Professor Dept. Biomedical Engineering Florida International University Miami, FL 33174 Tel. 305 348 4948 Email. jrieradi(a)fiu.edu<mailto:jrieradi@fiu.edu>

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Workshop on Tactile coding and neuroprostheses
by Alberto Mazzoni 30 Nov '16

30 Nov '16

Dear all, the workshop on tactile coding taking place in the The Biorobotics Institute of the Scuola Superiore Sant'Anna in the next two days (see below) will be available for streaming on the Facebook page of the Institute https://www.facebook.com/istitutobioroticascuolasuperioresantanna/ the full program is now available in .pdf form here sssa.bioroboticsinstitute.it/events/TFN2016 ----------------------------------------------------------------------------------------------- *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

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Job Opening: Computational Neuroscience Research Assistant
by Jonathan Nicholas 29 Nov '16

29 Nov '16

Hello all, Please see the following ad for a full-time computational neuroscience RA: Computational Neuroscience Research Assistant Position at Stanford University: Stanford University has an opening for a talented research assistant with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging data analysis and data organization and management. He/She will have opportunities to develop and apply novel multimodal data analysis techniques and to co-author research publications. Experience with Matlab, Python, R, signal and image processing, machine learning, statistics, databases, Linux, and shell scripting is required. Experience in neuroimaging/neural data analysis is desired. Excellent organizational and interpersonal communication skills are required. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. A two-year commitment is required. Please email a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford+quantitative(a)gmail.com Thanks, Jonathan

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Fully-funded four-year PhD studentship in Computational Neuroscience at Imperial College London
by Reichenbach, Johann D T 28 Nov '16

28 Nov '16

An exciting PhD project in Computational Neuroscience is available for UK/EU candidates in the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach/index.html) at Imperial College London. The student will develop state-of-the art neuronal network models to investigate the effects of complex spatio-temporal neurostimulation on speech processing. The model development and results will be linked with ongoing experiments, and will pave the way to a novel rehabilitation from neural impairments with speech comprehension. The PhD position is part of the Center for Neurotechnology (http://www.imperial.ac.uk/neurotechnology/cdt) at Imperial College London. The successful candidate will join an international cohort of PhD students working on cutting-edge topics of computational and experimental neuroscience and engineering. To apply please visit the Centre's project page (http://www.imperial.ac.uk/neurotechnology/cdt/projects/) access the tab "Projects available for Oct 2017" and select the project "Developing a novel type of neurostimulation to foster speech processing and rehabilitation from aphasia". Deadline is the 31st of January 2017. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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Graduate assistantships in Computational Science at FSU
by Gordon Erlebacher 28 Nov '16

28 Nov '16

Florida State University Graduate student assistantships available for Ph.D. and M.S. degree programs in Computational Science The Department of Scientific Computing at Florida State University offers innovative M.S. and Ph.D. degree programs in Computational Science. Graduate teaching and research assistantships are available for qualified, motivated students who are interested in receiving cross-disciplinary training in computational science. Many, if not most interdisciplinary degree programs and schools, including those in computational science, are jointly administered by several departments. Florida State University has created an independent department, the Department of Scientific Computing, that offers truly cross-disciplinary graduate degree programs in computational science. All faculty, postdoctoral associates, and students associated with the Department of Scientific Computing have offices in the same building, leading to a supportive, synergetic, environment in which the varied aspects of research and education in computational science are not only supported, but is a way of life. For more information about the Department of Scientific Computing and its graduate degree programs, please go to http://www.sc.fsu.edu. Over the last few decades, computations have joined theory and experimentation to form the three pillars of scientific discovery and technological design. Computational science can be viewed as residing at the intersection of traditional disciplines such as mathematics, computer science, statistics, engineering, and the sciences. Thus, computational science draws from but is not a subset of any of these disciplines. Due to the cross-disciplinary nature of computational science, it is essential that a computational scientist be trained in a setting that incorporates all the components that make up computational science. The Department of Scientific Computing is uniquely positioned to offer such training because it composed of truly cross-disciplinary faculty with strong computational backgrounds in the fields of biology, computer science, engineering, geophysical science, mathematics, material science, physics, and statistics, with an even broader spectrum of disciplines through collaborations within and outside Florida State. Students enrolled in the Ph.D. program in Computational Science can choose several areas of specialization. In addition to the major track, which trains students interested in the mathematical and computer science aspects of computational algorithms that can be applied to a wide range of disciplines, we offer tracks in atmospheric science, biochemistry, biological science, geological science, materials science, and physics. Soon, we will add a track in computational intelligence. Students following these tracks gain expertise in computational issues specifically related to the chosen field. All students, however, will be involved in truly cross-disciplinary training and research. The Department of Scientific Computing maintains a large and diverse computing infrastructure in support of research and education. Available computing resources include supercomputers, a number of clusters and computational servers, and multi-core workstations with advanced graphics cards available, and other specialized hardware. Florida State University is a national graduate research university which has built a reputation as a strong center for research in the sciences. It is located in Tallahassee, FL which is situated in the Florida panhandle and is near some of the most beautiful, uncrowded beaches in the United States as well as other scenic wonders. Applications are being accepted now for Fall 2017. Assistantships are available for qualified individuals. Minorities and women are especially encouraged to apply. Applicants should hold, by the time of entry into the graduate program, a baccalaureate degree in a natural science, engineering, computer science, mathematics, or statistics. Interested applicants should go to http://www.sc.fsu.edu/graduate/application, where detailed instructions about how to apply are given. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to Dr. Sachin Shanbhag (Graduate Coordinator) at sshanbhag(a)fsu.edu or Gordon Erlebacher (Chair) at gerlebacher(a)fsu.edu. -- Gordon Erlebacher Chair, Department of Scientific Computing

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Postdoc opening in perceptual/cognitive neuroscience
by Simon Kelly 25 Nov '16

25 Nov '16

Applications are invited for a postdoctoral research post in the Cognitive Neural systems lab (https://cogneusys.com/) led by Simon Kelly, to study computational and neural mechanisms of value-biased sensorimotor decision making under time pressure. This position is part of a project funded by Science Foundation Ireland, which involves a combination of psychophysics, computational modelling, non-invasive electrophysiology of human brain and muscle, and analyses of existing single-cell neurophysiological data. Though involvement is expected in all of these aspects, the most critical role of the postdoctoral researcher will be in computational modelling. Candidates must thus have strong analytic and programming skills, and specific experience in the computational modelling of cognitive processes. Candidates must also be highly motivated and have excellent communication skills. Dr. Kelly's electrophysiology/psychophysics lab is situated within the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and has strong collaborative links to cognitive and clinical neuroscience research groups both locally (e.g. Trinity College Institute of Neuroscience) and internationally (e.g. City College and Columbia University in New York). The successful applicant will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit a brief research statement and CV including publications through the UCD job vacancies site ( http://www.ucd.ie/hr/jobvacancies/ - search for keyword 'kelly', or job ref 008870). Informal enquiries can be directed to Simon (simon.kelly(a)ucd.edu) Candidates should explain in their statement how their own research interests fit with those of the Kelly lab. The deadline for submitting applications is Jan 8th 2017, and shortlisting and interviews will take place shortly after that. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407
by Tsaneva-Atanasova, Krasimira 19 Nov '16

19 Nov '16

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 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics 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

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PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells
by Tsaneva-Atanasova, Krasimira 19 Nov '16

19 Nov '16

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 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics 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

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PhD Position: Modelling spine calcium dynamics and cross talk: implications for synaptic plasticity and ischaemia
by Tsaneva-Atanasova, Krasimira 19 Nov '16

19 Nov '16

PhD Position: Modelling Spine Calcium Dynamics, University of Exeter Project Description: Nerve cells (neurones) in the brain communicate with one another at connect ions called synapses. A chemical (neurotransmitter) is released from a neuron and travels across the synapse to activate receptors in the adjacent neuron. Synapses can change their strength (known as “synaptic plasticity”) by altering the number of receptors found on the surface of the neuron in the synapse. This process is thought to underlie learning and memory, because the memory is likely to be stored in a circuit of interconnected neurons. The critical trigger for synaptic plasticity is the influx of calcium ions into very small compartments of neurones called spines, tiny structures approximately 1 millionth of a metre in diameter. However, this influx of calcium ions can also trigger cell death after ischaemic injury that occurs during stroke so it must be tightly regulated. Plasticity of excitatory synapses is a key mechanism by which we alter the flow of information in the brain and encode memories. Individual synapses occur at thousands of postsynaptic dendritic spines separated from the dendrite by a thin neck making each spine a semi-autonomous entity. It is thought that this is what underpins synapse specific plasticity enabling high capacity memory. However, recently it has become clear that cross talk between coactive spines is the basis for many forms of synaptic plasticity, but the mechanism, requirements and biological function for this spine-spine communication remain unknown. Similarly, the precise calcium signals that differentiate plasticity from cell death processes are also unknown. This project aims to address these questions using a combination of mathematical modelling and high-resolution imaging data collected with high-powered laser microscope. In order to capture the complex geometry of the system we will employ advanced mathematical techniques for spatio-temporal modelling and analysis such as finite element methods. This work is important because it will lead to a wealth of new information about synaptic plasticity and cell death processes, and hence the mechanisms underlying learning and memory and ischaemic brain damage. Furthermore, dysfunction in the ability to undergo synaptic plasticity is thought to underlie the altered neuronal activity in several brain diseases, such as Alzheimer’s disease, schizophrenia and autism. Therefore, the mechanisms that we will study in this research will add to our knowledge about these debilitating diseases, and may contribute to developing therapies. Academic Supervisors: Main Supervisor: Professor Krasimira Tsaneva-Atanasova (University of Exeter) Co-supervisor: Dr Jack Mellor (University of Bristol) Summary Application deadline: 5th December 2016 Value: £14,296 per annum for 2016-17 How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding//application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. Please indicate your preferred project choice if applying for multiple BBSRC SWBio DTP projects. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English (see entry requirements above) You will be asked to name 2 referees as part of the application process however we will not contact these people until the shortlisting stage. Your referees should not be from the prospective supervisory team. The closing date for applications is midnight on Monday, 5 December 2016. Interviews will be held at the University of Exeter in early February 2017. If you have any general enquiries about the application process please email cles-pgr-support(a)exeter.ac.uk<mailto:cles-pgr-support@exeter.ac.uk> or phone +44 (0)1392 725150 / 723706. Project-specific queries should be directed to the supervisor. ----------------------------------------------------------- BBSRC SWBio DTP PhD studentship: Modelling spine calcium dynamics and cross talk: implications for synaptic plasticity and ischaemia About the South West Biosciences Doctoral Training Partnership: The South West Biosciences Doctoral Training Partnership (SWBio DTP) is a BBSRC-funded PhD training programme in the biosciences, delivered by a consortium comprising the Universities of Bristol (lead), Bath, Cardiff, Exeter, and Rothamsted Research. Together, these institutions present a distinctive cadre of bioscience research staff and students with established international, national and regional networks and widely recognised research excellence. The partnership has a strong track record in advancing knowledge through high quality research and teaching in partnership with industry and government. The aim of the SWBio DTP is to produce highly motivated and excellently trained postgraduates in the BBSRC priority areas of Agriculture & Food Security (AFS) and World-Class Underpinning Bioscience (WCUB). These are growth areas of the biosciences and for which there will be considerable future demand. About the award: This project is one of a number that are in competition for funding from the South West Biosciences Doctoral Training Partnership (SWBio DTP). Up to 4 fully-funded studentships are being offered to start in September 2017 at the University of Exeter. For UK/EU nationals who meet the residency requirements outlined by the BBSRC, the studentship will cover funding for 4 years (48 months) as follows. These awards might be available to part-time students, but only in exceptional circumstances, in which case the funding will be paid on a pro-rata basis. • a stipend at the standard Research Council UK rate; currently £14,296 per annum for 2016-2017 • research and training costs • tuition fees (at the standard Research Councils UK rate • additional funds to support fieldwork, conferences and a 3-month internship Location: University of Exeter, Streatham Campus, Exeter Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Applicants with a Lower Second Class degree will be considered if they also have Masters degree or have significant relevant non-academic experience. In addition, due to the strong mathematical component of the taught course in the first year and the quantitative emphasis in our projects, a minimum of a grade B in A-level Maths or an equivalent qualification or experience is required. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.5 in any section by the start of the project. Alternative tests may be acceptable, please see http://www.bristol.ac.uk/study/language-requirements/profile-c/. Students from EU countries who do not meet the residency requirements may still be eligible for a fees-only award but no stipend. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Further information about eligibility can be found in the following document: http://www.bbsrc.ac.uk/documents/studentship-eligibility-pdf/ Selection process: Please note, the studentship selection process will take place in two stages: 1. The project supervisors will consider your application and may invite you to visit for an informal interview. You can apply for more than one BBSRC SWBio DTP project, although supervisors may take into account your interest and commitment to their particular project. If you apply for multiple projects, please indicate your preferred project choice in your letter of application. Each application for an individual project will be considered separately by the project supervisors. 2. After closure of applications, each supervisory team will then nominate their preferred applicant. A shortlist will be selected from these nominations and shortlisted applicants will be invited for interview on a selection day at the University of Exeter. Please note that nomination by a project supervisor therefore does not guarantee the award of a studentship. ----------------------------------------------------------- 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

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Call for Registration: Computational Neurology 2017. Newcastle upon Tyne, UK
by roman bauer 19 Nov '16

19 Nov '16

Dear all, We are pleased to announce that the registration for the Computational Neurology Conference in Newcastle upon Tyne, UK has opened. *Please register here:* https://conferences.ncl.ac.uk/compneurology/registration/ - Registration is free and includes lunch/coffee breaks on both days - Speakers are not required to register *Registration deadline:* February 5, 2017 *List of confirmed speakers:* - Javier Escudero - Edinburgh - Marc Goodfellow - Exeter - Andrew Jackson - Newcastle - Viktor Jirsa – Marseille - Marcus Kaiser - Newcastle - Dimitri Kullmann – University College London - Marco Manca - CERN - Florian Mormann - Bonn - Matthew Nolan – Edinburgh - Gregory Scott - Imperial College London - Evelyne Sernagor - Newcastle - Peter Uhlhaas – Glasgow Additionally, there will be multiple mini-talks from selected poster presenters. More information on the conference can be found at the dedicated website: https://conferences.ncl.ac.uk/compneurology/ Thanks and we look forward to seeing you in Newcastle upon Tyne! On behalf of the organizers: Roman Bauer, Anupam Hazra, Luis Peraza Rodriguez, Peter Taylor, Yujiang Wang -- Roman Bauer, Ph.D. MRC Research Fellow Institute of Neuroscience Newcastle University Newcastle upon Tyne NE1 7RU, UK tel: +44 (0) 191 208 8933 <+44%20(0)%20191%20208%208933>

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Funded PhD places at Royal Holloway
by Durant, Szonya 18 Nov '16

18 Nov '16

Applications are open for funded PhD places starting 2017 in the Dept. of Psychology, Royal Holloway University of London. Further details: https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate… The following projects may be of interest to the readers of this list (linked the project descriptions below), please contact the primary supervisor for more information. ? The perceived duration of actions (Primary Supervisor: Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…>; Second Supervisor: Dr Lingnau<https://pure.royalholloway.ac.uk/portal/en/persons/angelika-lingnau%283be38…>) ? Semantic information transfer from audition to vision (Primary Supervisor: Dr Vetter<https://pure.royalholloway.ac.uk/portal/en/persons/petra-vetter(cdfd308c-1e…>; Second Supervisor: Dr Auer) ? Perceptual and physiological correlates of aesthetic preferences (Primary supervisor: Prof Zanker<https://pure.royalholloway.ac.uk/portal/en/persons/johannes-zanker_350450c5…>; Second Supervisor: Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…>) ? The neuroscience of facial attractiveness choices (Primary Supervisor: Dr Furl<https://pure.royalholloway.ac.uk/portal/en/persons/nicholas-furl(ea2a352b-6…> ; Second Supervisor: Dr McKay<https://pure.royalholloway.ac.uk/portal/en/persons/ryan-mckay_cda72457-6d2a…>) ? Detection of emotion and trustworthiness across the lifespan (Primary Supervisor : Dr Watling<https://pure.royalholloway.ac.uk/portal/en/persons/dawn-watling_70194d88-af…>; Second Supervisor : Dr Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant_64105598-7…> ) Szonya Durant, RHUL Angelika Lingnau, RHUL The perceived duration of actions Project Summary The perception of duration is often cited as being crucial for action. Overlapping neural areas have been found to be involved in motor planning and duration perception. However, dissociations have been found in time judgement for action and perception. Our ability to judge the duration of our own and others' actions has been little investigated. Additionally, predictability affects duration perception and neural signal change - do expected actions differ from unexpected ones in their perceived duration? This project combines psychophysical, EEG and fMRI techniques, providing the PhD candidate with a broad training in neuroscientific techniques. The behavioural experiments compare the perceived duration of action to matched non-action visual stimuli. We test if judging our own actions cued by a visual stimulus improves accuracy or shifts means compared to action or non-action visual stimuli alone. We will also manipulate predictability of actions, both by probability of occurrence or expectation in terms of object affordance. The fMRI studies will contrast judging the duration of another person's actions versus one's own as well as non-action visual stimuli. We will examine which brain areas are modulated by perceived duration and by predictability. Moreover, we will use MVPA to examine predictability effects on the ability to categorize actions. The EEG experiments will use the visual mismatch negativity signal as a measure of what is considered a predictable action when attention is not directed towards it and relate this to the psychophysical results. Petra Vetter, RHUL Tibor Auer, RHUL Semantic information transfer from audition to vision Project summary: Our brain integrates a multitude of sensory information into one coherent percept so that we can interact with the world. Previous research typically focussed on how multisensory information is integrated across space and time, but so far little research has attempted to determine the semantic meaning of the communicated information across the senses. However, knowing the semantic content of cross-modally transmitted information is crucial to optimise multimedia environments and sensory substitution devices for the blind. The goal of this project is to characterise the semantic information content that is transferred from audition to vision in the human brain, and to identify the neural pathways of this information transfer. The predominant methods will be functional MRI in combination with multivariate brain decoding techniques and transcranial magnetic stimulation (TMS). The project will address two main questions: 1. Which semantic categories of auditory information are distinguished in visual cortex and to which level of abstraction? Here we will decode natural sounds of several semantic categories (e.g. animals versus humans, female versus male, tools versus instruments) from fMRI activity patterns in early visual cortex in the absence of visual stimulation. 2. Where in the brain are these semantic categories distinguished? Here the brain pathways of audio-visual information transfer will be identified by connectivity and whole brain decoding analyses, as well as by stimulating multi-sensory brain areas with TMS prior to MRI scanning. The latter allows to identify the brain areas that are causally involved in mediating semantic information transfer from audition to vision. Johannes Zanker, RHUL Szonya Durant, RHUL Perceptual and physiological correlates of aesthetic preferences Project summary Arts history has plenty of 'theoretical' concepts on offer to explain what human spectators regard as beautiful (Gombrich 1977), which often closer to believe systems than being based on evidence. With the advent of psychophysics, investigating the relationship between the physical world and its mental representation, aesthetic judgement became accessible to empirical study (Fechner 1860), soon to be aided by some physiological and behavioural methods (Yarbus 1967, Berlyne 1971). The proposed project is planned to extend previous work that established (a) quantitative methods to measure aesthetic attributes - such as complexity, regularity, liking - that were applied to both to synthetic stimuli and samples of artwork, and (b) an analysis method for preferential eye movements for the same stimulus material, and complement it with (c) recordings of cortical activity recorded with the EEG system. The combination of methods offers the opportunity to directly link the perceptual tasks, recordings of eye movement signals (which are also picked up by the EEG system) and neural responses and align preference data sets from a single experiment. The goal of this project is to explore whether features such as style aspect, particular composition schemes, geometric properties such as perspective or symmetry, and mathematical properties such as the complexity of a piece of art, are reflected in the activity of the early visual system, and to what extent such cortical activity in the early visual system can contribute to for what participants perceive as pleasing, and describe as 'beautiful'. Dawn Watling, RHUL Szonya Durant, RHUL Detection of emotion and trustworthiness across the lifespan Project Summary Emotion recognition is a key social skill which we use on a daily basis to navigate successfully through social interactions. Individuals use facial expressions to infer and make judgments about the attitude and/or feelings of another (Cunningham & Odom, 1986) and the judgments that one makes are often used to guide future behaviour within the interaction (Gao & Maurer, 2009). Children recognize from 6-years-old that facial expressions of emotion do not always match true feelings. This PhD will address: first, what factors influence one's ability to detect a genuine (or faked) facial expression of emotion, how does this relate to judgements of trustworthiness; second, are their age related changes in detection and judgements across the lifespan? Throughout this PhD a series of studies will be designed to address these questions using static and dynamic images, and live interactions. The proposed cross-sectional design will include participant groups from early childhood to late adulthood. Participants will visit the Oculomotor lab and be asked to make judgements on genuineness of emotional expressions and how trustworthy an individual is. Participants' eye movements and gaze fixations will be recorded and analysed in terms of scan paths, gaze duration at targeted areas, and related to the perceived genuineness of the individual. There are important implications for the understanding of how a child may respond to an approaching strangers or how an elderly individual may respond to a stranger who makes a request (e.g., for money, to enter their home). Nicholas Furl, RHUL Ryan McKay, RHUL Bruno Averbeck, NIMH/NIH Davide Rivolta, University of East London The neuroscience of facial attractiveness choices Project summary Users of modern dating applications (e.g., Tinder) face a classic decision problem. This "best choice" or "marriage" problem requires participants to view a series of options one at a time (e.g., a series of used cars) and to decide whether to accept or reject each option. A participant's task is to find a high-ranking option in the series (e.g., a car with low mileage), with the restriction that declined options cannot be returned to. The problem is known as the "marriage" problem after the decision process adopted by astronomer Johannes Kepler when searching for a wife; after considering several candidates, Kepler returned to a previous candidate and was duly rejected. Our research team has shown that humans confronted by a similar mate choice task make suboptimal decisions, compared to computational "ideal observer" models. Further, parietal cortex activity may contribute to these decisions. Our Ph.D. project will use brain imaging to assess how suboptimal searches for the most attractive face arise from interactions between brain activity involved in decision making (parietal cortex) and social perception. Our student will also test whether brain stimulation (e.g., to parietal cortex) changes participants' ability to "wait for the right person". Our Ph.D. student will lead a project with potential for broad scientific and social impact and will receive training in brain imaging, brain stimulation and behavioural and computational methods. Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Workshop on Tactile coding and neuroprostheses - Pontedera (Pisa), Italy - Dec 1-2 2016
by Alberto Mazzoni 18 Nov '16

18 Nov '16

Workshop announcement (apologies for cross-postings) *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

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Hiring Interviews at NIPS Barcelona for NEURAL DATA ANALYTICS - Post Docs, Staff Scientists, & Electrical Engineers
by Platt, Jo Ann 17 Nov '16

17 Nov '16

Bioelectronic Medicine is the new frontier of medicine - challenging and changing the way we diagnose, manage, and treat disease. Today's discoveries and devices are successfully replacing drugs. We aim to treat bleeding, cancer, diabetes, lupus, obesity, paralysis, rheumatoid arthritis, sepsis, and many other diseases and conditions. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at Neural Information Processing Systems (NIPS) for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu<mailto:japlatt@northwell.edu> for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441<tel:(415)%20265-0441> 350 Community Drive<x-apple-data-detectors://2/1> Manhasset, NY 11030<x-apple-data-detectors://2/1> The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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[ECSQARU 2017] First Call for Papers
by Alessandro Antonucci 17 Nov '16

17 Nov '16

The Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty FIRST CALL FOR PAPERS http://ecsqaru.idsia.ch The biennial ECSQARU conferences constitute a major forum for advances in the theory and practice of reasoning under uncertainty. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms. Previous ECSQARU events have been held in Marseille (1991), Granada (1993), Fribourg (1995), Bonn (1997), London (1999), Toulouse (2001), Aalborg (2003), Barcelona (2005), Hammamet (2007), Verona (2009), Belfast (2011), Utrecht (2013), and Compiègne (2015). ECSQARU 2017 will be co-located with ISIPTA '17, the Tenth International Symposium on Imprecise Probability: Theories and Applications. The joint event will be held in Lugano (Switzerland), on July 10-14, 2017. ::: SCOPE ::: For ECSQARU 2017 we invite submissions of conference papers on topics which include but are not limited to: - Algorithms for uncertain inference - Applications of uncertain systems - Argumentation systems - Automated planning and acting under uncertainty - Belief functions - Belief revision & merging - Classification & clustering - Decision theory & decision graphs - Default reasoning - Description logics with uncertainty - Foundations of reasoning under uncertainty - Fuzzy sets & fuzzy logic - Game theory - Imprecise probabilities - Inconsistency handling - Information fusion - Learning for uncertainty formalisms - Logics for reasoning under uncertainty - Markov decision processes - Possibility theory & possibilistic logic - Preferences - Probabilistic graphical models - Probabilistic logics - Qualitative uncertainty models - Rough sets - Uncertainty & data ::: INVITED SPEAKERS ::: We are delighted of having the following invited speakers: - Leila Amgoud (IRIT, France) - Alessio Benavoli (IDSIA, Switzerland) - Jim Berger (Duke University, USA) - Didier Dubois (IRIT, France) - Eyke Hüllermeier (Paderborn University, Germany) ::: PROCEEDINGS AND SUBMISSIONS ::: In accordance with the previous conferences, the proceedings of ECSQARU 2015 will be published in the Springer Lecture Notes in Artificial Intelligence series. Authors are requested to prepare their conference papers in the LNCS/LNAI format. Submitted papers will be evaluated by peer reviews based on originality, significance, technical soundness, and clarity of exposition. Authors of accepted papers are expected to attend the conference to present their work. The instructions for submission and the author kit are available here: http://ecsqaru.idsia.ch/submissions-ecsqaru/ ::: IMPORTANT DATES ::: - Tuesday, February 21, 2017: Paper submission deadline - Tuesday, April 18, 2017: Author notification - Friday, April 28, 2017: Camera-ready copy due ::: IJAR SPECIAL ISSUE ::: Authors of selected papers will be invited to submit an extended version of their work to a special issue of the International Journal of Approximate Reasoning (IJAR, Elsevier). ::: SPRINGER YOUNG RESEARCHER AWARD ::: We also invite applications for the Springer Young Researcher Award. The prize, granted by Springer, will be awarded to one young researcher for excellent research in fields related to the ECSQARU scope. The award is open to Master students, PhD students and young post-doc researchers who have received their PhD in 2016 (or 2017). Applicants should have submitted a paper (not necessarily as first authors) to ECSQARU 2017. Applications should be received by the paper submission deadline (February 21, 2017). _________________________________ Alessandro Antonucci IDSIA Dalle Molle Institute for Artificial Intelligence Via Cantonale (Galleria 2) CH-6928, Manno-Lugano, CH mail: alessandro(a)idsia.ch skype: alessandro.antonucci tel: +41 916108515 web: www.idsia.ch/~alessandro _________________________________

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[ICANN 2017] Preliminary announcement, 26th International Conference on Artificial Neural Networks, Alghero, Sardinia, Italy
by ENNS Secretary 17 Nov '16

17 Nov '16

Preliminary Announcement [Apologies for cross-postings] =========================================================== www.icann2017.org <http://www.icann2017.org/> ICANN 2017 26th International Conference on Artificial Neural Networks Alghero/Sassari, Sardinia, Italy 11th - 15th September 2017 =========================================================== The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2017, the 26th ICANN will be organised from the 11th to the 15th of September 2017 in Alghero/Sassari, Sardinia, Italy. Conference proceedings will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. IMPORTANT DATES Special session / workshop proposals: 15 January 2017 Proposals for competitions and tutorials: 31 January 2017 Submission of demonstration proposals: 1 March 2017 Submission of abstracts and papers: 19 March 2017 Notification of acceptance: 30 April 2017 Camera-ready paper and registration: 15 May 2017 Conference dates: 11 - 15 September 2017 CONFERENCE TOPICS ICANN 2017 will feature the main tracks Brain Inspired computing and Machine Learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: • Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organization, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Recurrent Networks, Deep Learning. • Machine Learning: Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models. • Neural Applications for: Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. CONFERENCE OBJECTIVES - To bring together researchers from two worlds: Information Sciences and Neurosciences - To keep a wide scope, ranging from Machine Learning Algorithms to models of real nervous systems - To facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain. - To help researchers to meet, mingle and network with colleagues from all over the world. - To be the meeting point between research and business. - To be a global interdisciplinary meeting encompassing Machine Learning and Neural Computation. BENEFITS OF ATTENDING THE CONFERENCE - A solid cutting-edge scientific programme including talks from the world experts in the field of artificial neural networks. - A conference schedule tailored to encourage interaction between the attendees, with time for networking and discussion. - The publication of all accepted contributions in the peer-reviewed book of conference proceedings, in the Springer-Verlag Lecture Notes in Computer Science (LNCS) series. - The opportunity to vote and to be considered for the best paper awards, presented during the final ceremony of ICANN. - A top-level conference in the field with a reasonable registration fee, thanks to the not-for-profit policy of the ENNS organisation. Students can apply for ENNS funded travel grants to attend. - An overly attractive conference location in the beautiful setting of the Sardinian coast, with social events to explore the area. http://www.alghero-turismo.it/en/ <http://www.alghero-turismo.it/en/> CONFERENCE REGISTRATION FEES Early registration fees have been kept particularly low for this kind of event because ENNS and ICANN aim at full implementation of the academic not-for-profit policy. Undergraduate students (Bachelor and Master level): 100 EUR PhD Students: 240 EUR Regular delegates: 290 EUR ENNS members have a reduction of 40 EUR Students can apply for ENNS funded travel grants to attend (see the conference website). CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications (on permanent display and 2 hours presentation) - demonstrations Authors willing to present original contributions for any category must submit a manuscript of maximum 8 pages length that will be refereed to international standards by at least three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Selected papers will be invited after the conference for a full journal paper submission. Authors willing to present a contribution for oral communications and posters without submitting a full manuscript must submit a 1-page abstract that will also be refereed by at least three referees. The abstracts will be published all together in a proceedings section without an author index. In case of program constraints the priority will be given to original contributions accompanied by a full paper submission. WORKSHOPS, SPECIAL SESSIONS, DEMONSTRATIONS, COMPETITION PROPOSALS and TUTORIALS ICANN 2017 invites proposals for workshops, special sessions, demonstrations, competitions and tutorials to be held during the conference. For more information, please refer to the website. BEST PAPER AWARDS ENNS will sponsor several best paper awards, in the Brain Inspired Computing track and in the Machine Learning research track. All awardees will be presented during the final ceremony. ORGANISATION General Chair: Alessandro E.P. Villa General Co-chairs: Alessandra Lintas, Věra Kůrková, Stefano Rovetta, Paul F.M.J. Verschure Local Co-chairs: Eugenio Lintas, Anna Mura Program and Workshop Committee: Cesare Alippi, Jérémie Cabessa, Barbara Hammer, Petia Koprinkova-Hristova, Jaako Peltonen, Antonio J. Pons, Yifat Prut, Stefano Rovetta, Igor V. Tetko, Paul F.M.J. Verschure, Alessandro E.P. Villa, Francisco Zamora-Martinéz Communications Chair: Paolo Masulli Organisation Università degli Studi di Sassari, Italy University of Lausanne, Switzerland Universitat Pompeu Fabra, Spain ENNS Secretariat, Switzerland -- Caroline Kleinheny secretary ENNS University of Lausanne Laboratoire de Neuroheuristique Internef - 137 CH - 1015 Lausanne Switzerland Tel : +41 21 692 33 88 secretary(a)e-nns.org <mailto:secretary@e-nns.org>--

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Grants for independent young scientists - Romanian Institute of Science and Technology
by R. Valentin Florian 16 Nov '16

16 Nov '16

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[IJCNN 2017] Submission deadline is extended to Thursday, 1st December 2359 hr (UTC-8 hr)
by Teng Teck Hou 16 Nov '16

16 Nov '16

[Apologies for cross-postings] ################################################## CALL FOR PAPERS International Joint Conference on Neural Networks May 14-19, 2017, Anchorage, Alaska, USA http://www.ijcnn.org/ http://www.ijcnn.org/call-for-papers ################################################## IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. Co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEEE-CIS), over the last three decades this conference and its predecessors has hosted [past, present, and future] leaders of neural network research. IJCNN 2017 will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest. The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose, walk on a glacier and explore a vast, natural park all in a single day. Between mountains and an inlet, surrounded by national parks and filled with Alaska wildlife, Anchorage combines the best of Alaska in a city that has the comforts of home and the hospitality of the Last Frontier. ..." For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017). ##############################Important Dates############################## * Paper Submission December 1, 2016 * Paper Decision Notification January 20, 2017 * Camera-Ready Submission February 20, 2017 ########################################################################### ##########################Plenary Speakers########################## * Alex Graves, Research Scientist, Google DeepMind * Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, USA * Odest Chadwicke Jenkins, Associate Professor of Computer Science and Engineering, University of Michigan * Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science, USA * Jose C. Principle, Distinguished Professor, University of Florida, USA * Hava Siegelmann, Program Manager, DARPA * Paul Werbos, Program Director (retired), National Science Foundation #################################################################### ##########################Accepted Special Sessions########################## 1 Advanced Data Analytics for Large-scale Complex Data Environment Jia, Wu (University of Technology Sydney); Shirui, Pan; Xiangnan, Kong; Ivor W., Tsang 2 Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) Rodriguez Rivero (Universidad Nacional de Crdoba, Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo 3 Artificial Neural Network Solutions in Power Plant Safety and Security Alamaniotis, Miltos (Purdue University, USA); Tambouratzis, Tatiana 4 Artificial Neural Network-Based Methodologies for Environmental Sustainability Development: Theory and Practice Souliou, Dora (National Technical University of Athens, Greece);Tambouratzis, Tatiana 5 Biologically Inspired Computational Vision Iftekharuddin, Khan (Old Dominion Univ., USA) 6 Biologically-inspired Neural Networks and Learning Systems for Robotics Luo, Chaomin (Univ. of Detroit City, USA) 7 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi 8 Computational Intelligence Algorithms for Digital Audio Applications Principi, Emanuele (Universita Politecnica delle Marche, Italy); Uncini, Aurelio; Schuller, Björn; Squartini, Stefano 9 Concept Drift, Domain Adaptation & Learning in Dynamic Environments Giacomo, Boracchi (Politecnico de Milano, Italy); Robi, Polikar; Manuel, Roveri; regory Ditzler 10 Cybersecurity Analytics Catherine Huang (Intel) 11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi, Cerase; He, Haibo 12 Data stream mining in industry Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong 13 Deep and Reinforcement Learning (DRL) Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile; Razavi-Far, Roozbeh; 14 Explainability of Learning Machines Guyon, Isabelle (Universit Paris-Saclay, France); Escalante, Hugo Jair; Escalera, Sergio; Viegas, Evelyne 15 Extreme Learning Machines (ELM) Huang, Guang-Bin (Nanyang Technological Univ., Singapore); Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C. 16 Incremental Machine Learning: Methods and Applications Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi Ozawa (Kobe University, Japan) 17 Intelligent Vehicle and Transportation Systems Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr, Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin; Dauwels, Justin; Kocchar, Dev; 18 Interpretable Models in Machine Learning for Advanced Data Analysis Biehl, Michael (Univ. of Groningen, Netherlands); Villmann, Thomas 19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?; Donini, Michele; Aiolli, Fabio; Anguita Davide 20 Machine Learning for Business Analytics Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin 21 Machine Learning for Enhancing Biomedical Data Analysis Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa, Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E. 22 Machine Learning Methods Applied to Medicine Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro, Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio 23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera, Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi; Dominguez, Enrique 24 Machine Learning Techniques for Data-Driven Cyber Security Hongmei He (Cranfield Univ., UK) 25 Mind, Brain, and Cognitive Algorithms Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel 26 Nature-Inspired Neural Network Optimization Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South Africa); Engelbrecht, Andries 27 Neuro-Inspired Computing with Nanoelectronic Devices Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy 28 Neural Network Transfer Learning for the Recognition of Human Behavior and Affect Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer, Stefan; 29 Online Real-Time Strategies for Data Stream Mining Mahardhika Pratama (La Trobe University, Australia), Plamen P. Angelov, Meng Joo Er, Edwin Lughofer 30 Optimizing Neural Networks via Evolutionary Computation and Swarm Intelligence Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon Ong 31 Probabilistic Models and Kernel Methods Sun, Shiliang (East China Normal Univ. China); Ding, Shifei; Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing 32 Reservoir Computing in Hardware Merkel, Cory (Airforce Research Laboratory, USA); McDonald, Nathan; Thiem, Clare; Wysocki, Bryant 33 Smart Educational Techniques in Big Data Age Guandong Xu (Univ. Technology Sydney, Australia), Gang Li, and Wu He ############################################################################ # ############Paper Submission and Publication############ * Regular paper can have up to 8 pages in double-column IEEE Conference format * All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size. * All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. * Papers with significant overlap with the authors own papers or other papers will be rejected without review. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: NEURAL NETWORK MODELS * Feedforward neural networks * Recurrent neural networks * Self-organizing maps * Radial basis function networks * Attractor neural networks and associative memory * Modular networks * Fuzzy neural networks * Spiking neural networks * Reservoir networks (echo-state networks, liquid-state machines, etc.) * Large-scale neural networks * Other topics in artificial neural networks MACHINE LEARNING * Supervised learning * Unsupervised learning and clustering, (including PCA, and ICA) * Reinforcement learning * Probabilistic and information-theoretic methods * Support vector machines and kernel methods * EM algorithms * Mixture models, ensemble learning, and other meta-learning or committee algorithms * Bayesian, belief, causal, and semantic networks * Statistical and pattern recognition algorithms * Visualization of data * Feature selection, extraction, and aggregation * Evolutionary learning * Hybrid learning methods * Computational power of neural networks * Deep learning * Other topics in machine learning NEURODYNAMICS * Dynamical models of spiking neurons * Synchronization and temporal correlation in neural networks * Dynamics of neural systems * Chaotic neural networks * Dynamics of analog networks * Neural oscillators and oscillator networks * Dynamics of attractor networks * Other topics in neurodynamics COMPUTATIONAL NEUROSCIENCE * Connectomics * Models of large-scale networks in the nervous system * Models of neurons and local circuits * Models of synaptic learning and synaptic dynamics * Models of neuromodulation * Brain imaging * Analysis of neurophysiological and neuroanatomical data * Cognitive neuroscience * Models of neural development * Models of neurochemical processes * Neuroinformatics * Other topics in computational neuroscience NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION * Neurocognitive networks * Cognitive architectures * Models of conditioning, reward and behavior * Cognitive models of decision-making * Embodied cognition * Cognitive agents * Multi-agent models of group cognition * Developmental and evolutionary models of cognition * Visual system * Auditory system * Olfactory system * Other sensory systems * Attention * Learning and memory * Spatial cognition, representation and navigation * Semantic cognition and language * Neural models of symbolic processing * Reasoning and problem-solving * Working memory and cognitive control * Emotion and motivation * Motor control and action * Dynamical models of coordination and behavior * Consciousness and awareness * Models of sleep and diurnal rhythms * Mental disorders * Other topics in neural models of perception, cognition and action NEUROENGINEERING * Brain-machine interfaces * Neural prostheses * Neuromorphic hardware * Embedded neural systems * Other topics in neuroengineering BIO-INSPIRED AND BIOMORPHIC SYSTEMS * Brain-inspired cognitive architectures * Embodied robotics * Evolutionary robotics * Developmental robotics * Computational models of development * Collective intelligence * Swarms * Autonomous complex systems * Self-configuring systems * Self-healing systems * Self-aware systems * Emotional computation * Artificial life * Other topics in bio-inspired and biomorphic systems APPLICATIONS * Bioinformatics * Biomedical engineering * Data analysis and pattern recognition * Speech recognition and speech production * Robotics * Neurocontrol * Approximate dynamic programming, adaptive critics, and Markov decision processes * Neural network approaches to optimization * Signal processing, image processing, and multi-media * Temporal data analysis, prediction, and forecasting; time series analysis * Communications and computer networks * Data mining and knowledge discovery * Power system applications * Financial engineering applications * Applications in multi-agent systems and social computing * Manufacturing and industrial applications * Expert systems * Clinical applications * Big data applications * Smart grid applications * Other applications CROSS-DISCIPLINARY TOPICS * Hybrid intelligent systems * Swarm intelligence * Sensor networks * Quantum computation * Computational biology * Molecular and DNA computation * Computation in tissues and cells * Artificial immune systems * Other cross-disciplinary topics ################################################################ ##########################Organizing Committee########################## General Chair * Yoonsuck Choe, Texas A and M University, USA Program Chair * Christina Jayne, Robert Gordon University, UK Technical Co-Chairs * Irwin King, The Chinese University of Hong Kong, China * Barbara Hammer, University of Bielefeld, Germany Plenary Chair * Cesare Alippi, Politecnico di Milano, Italy Special Session Co-Chairs * Derong Liu, University of Chicago, USA * Tatiana Tambouriatzis, University of Piraeus, Greece Tutorial Chair * Asim Roy, Arizona State University, USA Workshop Chair * Lazaros Iliadis, Democritus University of Thrace, Greece Poster Session Chair * Richard Duro, Universidad Coruna, Spain Competition Chair * Juyang (John) Weng, Michigan State University, USA Panels Chair * Robert Kozma, University of Memphis, USA Awards Chair * Nikola Kasabov, Auckland University of Technology, Australia Web Reviews Chair * Tomasz Cholewo, Lexmark International Inc., USA Sponsors & Exhibits Chair * Lipo Wang, Nanyang Technological University, Singapore Publication Chair * Bill Howell, Natural Resources Canada (retired), Canada International Liaison * Teresa Ludermir, Universidade Federal de Pernambuco, Brazil European Liaison * Danilo P. Mandic, Imperial College, UK Asia-Pacific Liaison * Minho Lee, Kyungpook National University, Korea Neuroscience Liaison * Péter Érdi, Kalamazoo College, USA Robotics Liaison * Pierre-Yves Oudeyer, INRIA, France Industry Liaison * Sven F. Crone, Lancaster University, UK Publicity Co-Chairs * Giacomo Boracchi, Politecnico di Milano, Italy * Simone Scardapane, Sapienza University, Italy * Teck-Hou Teng, Singapore Management University, Singapore Local Arrangements Co-Chairs * Frank W. Moore, University of Alaska, USA * Kenrick Mock, University of Alaska, USA Registration Chair * Jaerock Kwon, Kettering University, USA Webmaster * Jaewook Yoo, Texas A & M University, USA ####################################################################### ##################Sponsoring Organizations################## * INNS - International Neural Network Society * IEEE - Computational Intelligence Society * BSCS - Budapest Semester in Cognitive Science * BMI - Brain-Mind Institute ############################################################

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PhD student openings in auditory neuroscience at Purdue University
by Bharadwaj, Hari M 15 Nov '16

15 Nov '16

[Apologies for cross posting] Two PhD student positions are available at the Systems Neuroscience of Auditory Perception<https://engineering.purdue.edu/SNAPLab> Lab at Purdue University. We study the neural mechanisms of auditory perception in complex multi-source environments (e.g., crowded restaurants or busy streets) using a combination of human neuroimaging techniques (EEG, MRI, otoacoustic emissions), behavioral listening experiments, and computational modeling. In addition we are interested in the effects of overexposure to loud sounds and early aging on the auditory system, and how that affects perception. A notable capability of the lab is the ability to non-invasively measure, and to model physiological responses at different levels of the auditory pathway from the cochlea to the cortex. Please visit https://engineering.purdue.edu/SNAPLab for more information about the lab, the facilities, and the vibrant intellectual environment at Purdue with a large community of hearing researchers<https://www.purdue.edu/hhs/slhs/events/seminars_in_hearing_research.html> and neuroscientists<https://www.purdue.edu/discoverypark/pillars/integrative-neuroscience-cente…>. Applications can be submitted through the Weldon School of Biomedical Engineering<https://engineering.purdue.edu/BME/Academics/Graduate/Admissions>, or the Department of Speech, Language, and Hearing Sciences<http://www.purdue.edu/hhs/slhs/graduate/index.html> as described here<https://engineering.purdue.edu/SNAPLab/research/prospective.html>. Informal enquiries about the positions can be directed to Hari Bharadwaj (hbharadwaj(a)purdue.edu) Preference will be given to applications received by December 15, 2016. -- Hari M. Bharadwaj, Ph.D. Assistant Professor of Speech, Language, and Hearing Sciences Assistant Professor of Biomedical Engineering Lyles-Porter Hall Purdue University 715 Clinic Drive, Room 3162 West Lafayette, IN 47907 (765) 496-2249 hbharadwaj(a)purdue.edu<mailto:hbharadwaj@purdue.edu> http://engineering.purdue.edu/SNAPLab<https://engineering.purdue.edu/SNAPLab>

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3-year PostDoc position in Aberdeen
by Andersen, Soren 15 Nov '16

15 Nov '16

Hello, a 3-year PostDoc position in my lab in Aberdeen in Scotland is currently open. It is in a BBSRC funded project to do quantitative modelling of EEG and behavioural data, combining steady-state visual evoked potentials (SSVEPs) and drift diffusion modelling. Candidates should have very solid technical skills (esp. Matlab) and ideally know something about attention and EEG. The position is still open until the 20th of November and applications must be submitted through the University's online application portal. For further information see: https://www.abdnjobs.co.uk/vacancy/research-fellow-281767.html Please do not hesitate to contact me if you have any questions regarding this position. Best regards, Søren Andersen ------------------------------ Søren K. Andersen, Ph.D. School of Psychology William Guild Building Room T5 Kings College Old Aberdeen AB24 3FX, UK Phone: +44 (0)1224 274240 Email: skandersen(a)abdn.ac.uk http://www.abdn.ac.uk/staffpages/skandersen 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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2017 Neural Inspired Computational Elements Workshop - San Jose CA 3/6/17-3/8/17
by Aimone, James Bradley 14 Nov '16

14 Nov '16

Dear Colleagues, The registration and abstract submissions are open for NICE 2017, which is going to be held at IBM Almaden Research Center, March 6-8, 2017. https://www.src.org/calendar/e006125/ With ever increasing interest and activity in AI and next generation computing systems, this event is again bringing together a unique and very strong cross section of experts across neuroscience, theory, algorithms, hardware and applications. We expect to have a larger number of attendees this year. Registration slots are limited due to venue logistics - we encourage you to register early to reserve your spot. Looking forward to seeing you in Almaden in March. Murat Murat Okandan, Ph.D. NICE Workshop Foundation mokandan(a)niceworkshop.org<mailto:mokandan@niceworkshop.org> http://niceworkshop.org -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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[EAIS 2017] Call for Papers
by Teng Teck Hou 14 Nov '16

14 Nov '16

[Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) May 31- June 2, 2017, Ljubljana, Slovenia http://msc.fe.uni-lj.si/eais2017/ ################################################## The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017) will be held in Ljubljana (Slovenia), a beautiful medieval town. Ljubljana lies halfway between Vienna and Venice, at the crossroads of different cultures, geographical regions, and historical developments. Compared to other capitals, Ljubljana is very small, very green, and very walking-friendly town, which makes it a great place to explore on foot. It is in the center of Slovenia and enables exploring some of the most popular tourist sights of Slovenia in one day. Visit enchanting Bled, with its medieval castle perched upon the lake, explore mysterious Predjama castle and end the trip by visiting Postojna cave, Slovenia's number 1 attraction. EAIS 2017 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams. EAIS 2017 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. The conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and Natal (Brasil). Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the Journal Evolving Systems (Springer). During EAIS 2017 the results of the new IEEE SMC Society sponsored competition on Autonomous Learning Machines (ALMA) will be announced. ##############################Important Dates############################## * Paper Submission December 24, 2016 * Paper Decision Notification February 24, 2017 * Camera-Ready Submission March 24, 2017 * Authors registration March 24, 2017 * Conference May 31 - June 2, 2017 ########################################################################### ##########################Keynote Speakers########################## * Plamen Angelov, Professor, Lancaster University, United Kingdom * Fernando Gomide, Professor, University of Campinas, Brazil * Nikola Kasabov, Professor of Computer Sience, Auckland University of Technology, New Zealand #################################################################### ##########################Accepted Special Sessions########################## 1. Computational Intelligence in Control of Power Generating Systems, Transmission and Load Management, Session proposer: Horst Schulte, HTW Berlin Email: Horst.Schulte(a)HTW-Berlin.de ############################################################################ # ############Paper Submission and Publication############ * Papers for EAIS 2017 should be submitted electronically through the Conference website at http://msc.fe.uni-lj.si/eais2017. * Submitted papers will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. ######################################################## ######################################################## IEEE Autonomous Learning Machines Competition ALMA Competition is organized by IEEE SMC Society. The goal of this competition is to increase the level of autonomy of the learning algorithms. Competition Tracks: 1. New data sets and streams that are suitable demonstrators for the topic of the competition. 2. New methods and algorithms for Autonomous Machine Learning in: . Clustering . Classification . Control . Prediction Awards: Track 1 - $1000 Track 2 - $1000 in each category ($4000). Important Dates: 31 January, 2017. Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia). May 31- June 2, 2017. Results will be announced during the conference EAIS 2017. ######################################################## ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * Honorary Chairs Plamen Angelov, UK Dimitar Filev, USA Nikola Kasabov, New Zealand * Conference Chair Igor Škrjanc, chair, Slovenia Sašo Blažic, co-chair, Slovenia * Publication Chairs Edwin Lughofer, Austria Sašo Blažic, Slovenia * Local Arrangement Chairs Dejan Dovžan, Slovenia Milan Simcic, Slovenia * Web & Publicity Chair José A. Iglesias, Spain Teck-Hou Teng, Singapore * Special Session Chair: Radu-Emil Precup, Romania * Program Committee Chair: Igor Škrjanc, Slovenia * International Program Committe Cesare Alippi, Italy Plamen Angelov, UK Rosangela Ballini, Brazil Rashmi Dutta Baruah, India Abdelhamid Bouchachia, UK Jorge Cassillas, Spain Bruno Costa, Brazil Dejan Dovžan, Slovenia Alain Droniou, France Dimitar Filev, USA Nadine Gaertner, Germany Joao Gama, Portugal Fernando Gomide, Brazil Jose Antonio Iglesias Martínez, Spain Lazaros Iliadis, Greece Nik Kasabov, New Zealand Juš Kocijan, Slovenia Ana Kosareva, Germany Rudolf Kruse, Germany Agapito Ledezma, Spain Daniel Furtado Leite, Brazil Andre Lemos, Brazil Chin Teng Lin, Taiwan Edwin Lughofer, Austria Yannis Manolopoulos, Greece Trevor Martin, UK Moamar Sayed Mouchaweh, France Veronika Nesheva, UK Seiichi Ozawa, Japan Witold Pedrycz, Canada Radu-Emil Precup, Romania Jose de Jesus Rubio, Mexico Araceli Sanchis de Miguel, Spain Horst Schulte, Germany Olga Senyukova, Russia Teck Hou Teng, Singapore Marley Vellasco, Brazil Di Wang, UAE Wilson Wang, Canada Ronald Yager, USA ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Laboratory of Modeling, Simulation and Control, University of Ljubljana * Laboratory of Autonomous Mobile Systems, University of Ljubljana ##########################################################################

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