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Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
by Etienne B. Roesch June 7, 2014

June 7, 2014

Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships) The goal of the project is to develop novel methods for the joint analysis of signals from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), when they are obtained concurrently. Technological advances of the last 10 years make it possible for scientists to record both modalities concurrently, in what is now known as coupled EEG-fMRI. By simultaneously recording these two modalities, scientists can potentially say where and when neural activity is occurring, whereas previously researchers had to settle for one or the other. This engineering feat, however, has not yet been met with the ability to make use of the combination of these signals to infer more knowledge than would otherwise be gathered in separate experiments. Filling this gap is the ambition of the present project. This is a method project, which requires skills and knowledge in neuroscience, applied mathematics/statistics/physics and programming. Candidates who have a strong background in at least two of these three fields are encouraged to apply, if they are enthusiastic about the third. Two full studentships are available, and we expect to appoint one candidate who is stronger in empirical work and a second who is stronger in analytics. Candidates are expected to have had some prior exposure to at least one of the two modalities, but will receive training in both. The two students will be supervised by Dr. Etienne Roesch and receive support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D support from Brain Products, one of the world’s leading manufacturers of MRI-compatible EEG systems. The group led by Dr. Roesch fosters interdisciplinary thinking, and students will have the opportunity to engage in ongoing empirical and modelling work related to perception and action. The Centre for Integrative Neuroscience and Neurodynamics (CINN) is host to a research-dedicated 3T Siemens TRIO, with a full license for sequence development, and a full suite of MR-compatible systems. Additionally, the students will be granted access to the cluster of NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain Embodiments Laboratory, in the School of Systems Engineering. The University of Reading is ranked as one of the UK’s 20 most research-intensive universities and as one of the top 200 universities in the world (Times Higher Education 2013). Our campus was voted first in the Times Higher Education Student Experience survey and has a Green Flag Award. It is situated 25 minutes West of London. Reading University Students’ Union was voted the 6th best in the UK (National Student Survey 2012). Essentials: Commitment to academic research and personal development; Ability to work collaboratively; Effective interpersonal and communication skills, including writing to a high standard, document preparation for technical notes and journal papers; Experience of work in interdisciplinary settings; Attention to details. Desirables: Self-guided work in developing statistical designs and approaches in research; Creative approach to problem solving; Ability to work independently; Experience in giving presentations and conveying complex ideas clearly. Eligibility: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in a relevant subject. Please note that due to restrictions on the funding this studentship is for UK/EU applicants only. Funding Details: Studentship will cover Home/EU Fees, pay the Research Council minimum stipend (£13,863 in 2014/15) for up to 3 years and include funding for international conferences. How to apply: To apply for this studentship please submit an application for a PhD in Cybernetics (full time) to the University – see http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the section ‘Research proposal’, please upload or copy-paste your covering letter. When prompted as part of your online application, you should provide details of the funding you are applying for, quoting the reference GS14-68. Once you have submitted your application, you should receive an email to confirm receipt of your online application. Please forward this email, along with your covering letter and CV (as pdf), to Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline. Application Deadline: Monday 14th July 2014 (interviews in August) Further Enquiries: Please contact Dr. Etienne B. Roesch, e.b.roesch(a)reading.ac.uk. ––– Dr. Etienne B. Roesch Lecturer (Assistant Professor) in Cognitive Science University of Reading, UK http://doodle.com/MeetWithEtienne Too brief of an email? Here's why! http://emailcharter.org

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an emerging neural theory of grid and place cell development: and navigation: modules, spiking dynamics, cholinergic inactivation, oscillations, and attention
by Stephen Grossberg June 7, 2014

June 7, 2014

The following articles summarize an emerging neural theory of how grid and place cells develop neurophysiological properties that support navigational behaviors, including properties of modular organization, spiking dynamics, effects of cholinergic inactivation, oscillations, and attention. ******************************************************************************************************************************************************************************** Grossberg, S., and Pilly, P. K. (2014). Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention, and oscillations. Philosophical Transactions of the Royal Society B., 369, 20120524, http://rstb.royalsocietypublishing.org/content/369/1635/20120524.full.pdf+h… Abstract. A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps. The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning, and remembering the most frequent and energetic co-occurrences of their inputs. The model’s parsimonious properties include: Similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same self-organizing map mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to hippocampus (“neural relativity”). The model clarifies how top-down hippocampus-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta, and gamma oscillations. The article also compares the three main types of grid cell models in light of recent data. **************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells. PLOS ONE, http://dx.plos.org/10.1371/journal.pone.0060599 Abstract. Medial entorhinal grid cells and hippocampal place cells provide neural correlates of spatial representation in the brain. A place cell typically fires whenever an animal is present in one or more spatial regions, or places, of an environment. A grid cell typically fires in multiple spatial regions that form a regular hexagonal grid structure extending throughout the environment. Different grid and place cells prefer spatially offset regions, with their firing fields increasing in size along the dorsoventral axes of the medial entorhinal cortex and hippocampus. The spacing between neighboring fields for a grid cell also increases along the dorsoventral axis. This article presents a neural model whose spiking neurons operate in a hierarchy of self-organizing maps, each obeying the same laws. This spiking GridPlaceMap model simulates how grid cells and place cells may develop. It responds to realistic rat navigational trajectories by learning grid cells with hexagonal grid firing fields of multiple spatial scales and place cells with one or more firing fields that match neurophysiological data about these cells and their development in juvenile rats. The place cells represent much larger spaces than the grid cells, which enable them to support navigational behaviors. Both self-organizing maps amplify and learn to categorize the most frequent and energetic co-occurrences of their inputs. The current results build upon a previous rate-based model of grid and place cell learning, and thus illustrate a general method for converting rate-based adaptive neural models, without the loss of any of their analog properties, into models whose cells obey spiking dynamics. New properties of the spiking GridPlaceMap model include the appearance of theta band modulation. The spiking model also opens a path for implementation in brain-emulating nanochips comprised of networks of noisy spiking neurons with multiple-level adaptive weights for controlling autonomous adaptive robots capable of spatial navigation. ******************************************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2014) How does the modular organization of entorhinal grid cells develop? Frontiers in Human Neuroscience, doi:10.3389/fnhum.2014.0037, http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00337/full Abstract. The entorhinal-hippocampal system plays a crucial role in spatial cognition and navigation. Since the discovery of grid cells in layer II of medial entorhinal cortex (MEC), several types of models have been proposed to explain their development and operation; namely, continuous attractor network models, oscillatory interference models, and self-organizing map (SOM) models. Recent experiments revealing the in vivo intracellular signatures of grid cells (Domnisoru et al., 2013; Schmidt-Heiber and Hausser, 2013), the primarily inhibitory recurrent connectivity of grid cells (Couey et al., 2013; Pastoll et al., 2013), and the topographic organization of grid cells within anatomically overlapping modules of multiple spatial scales along the dorsoventral axis of MEC (Stensola et al., 2012) provide strong constraints and challenges to existing grid cell models. This article provides a computational explanation for how MEC cells can emerge through learning with grid cell properties in modular structures. Within this SOM model, grid cells with different rates of temporal integration learn modular properties with different spatial scales. Model grid cells learn in response to inputs from multiple scales of directionally-selective stripe cells (Krupic et al., 2012; Mhatre et al., 2012) that perform path integration of the linear velocities that are experienced during navigation. Slower rates of grid cell temporal integration support learned associations with stripe cells of larger scales. The explanatory and predictive capabilities of the three types of grid cell models are comparatively analyzed in light of recent data to illustrate how the SOM model overcomes problems that other types of models have not yet handled. ********************************************************************************************************************************************************** Pilly, P.K., and Grossberg, S. (2013). How reduction of theta rhythm by medial septum inactivation may covary with disruption of entorhinal grid cell responses due to reduced cholinergic transmission. Frontiers in Neural Circuits, doi: 10.3389/fncir.2013.00173, http://www.frontiersin.org/Journal/10.3389/fncir.2013.00173/full?utm_source… Abstract. Oscillations in the coordinated firing of brain neurons have been proposed to play important roles in perception, cognition, attention, learning, navigation, and sensory-motor control. The network theta rhythm has been associated with properties of spatial navigation, as has the firing of entorhinal grid cells and hippocampal place cells. Two recent studies reduced the theta rhythm by inactivating the medial septum (MS) and demonstrated a correlated reduction in the characteristic hexagonal spatial firing patterns of grid cells. These results, along with properties of intrinsic membrane potential oscillations (MPOs) in slice preparations of medial entorhinal cortex (MEC), have been interpreted to support oscillatory interference models of grid cell firing. The current article shows that an alternative self-organizing map (SOM) model of grid cells can explain these data about intrinsic and network oscillations without invoking oscillatory interference. In particular, the adverse effects of MS inactivation on grid cells can be understood in terms of how the concomitant reduction in cholinergic inputs may increase the conductances of leak potassium (K+) and slow and medium after-hyperpolarization (sAHP and mAHP) channels. This alternative model can also explain data that are problematic for oscillatory interference models, including how knockout of the HCN1 gene in mice, which flattens the dorsoventral gradient in MPO frequency and resonance frequency, does not affect the development of the grid cell dorsoventral gradient of spatial scales, and how hexagonal grid firing fields in bats can occur even in the absence of theta band modulation. These results demonstrate how models of grid cell self-organization can provide new insights into the relationship between brain learning and oscillatory dynamics. ********************************************************************************************************************************************************************************* Stephen Grossberg Wang Professor of Cognitive and Neural Systems Professor of Mathematics, Psychology, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve steve(a)bu.edu

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ECML Workshop - “Neural Connectomics: From Imaging to Connectivity”
by Demian Battaglia June 6, 2014

June 6, 2014

ECML Workshop - “Neural Connectomics: From Imaging to Connectivity” September 15, 2014 - Nancy, France Paper submission deadline: June 20, 2014 Description: Systematic extraction of connectivity information is gaining growing importance for the understanding of the general functioning of the brain and its learning capabilities, as well as for designing biomarkers for diagnosis, prediction and prevention in neuropathologies. At the neural level, recovering the exact wiring of the brain (connectome) including nearly 100 billion neurons, having on average 7000 synaptic connections to other neurons, is a daunting task. The goal of this workshop is to bring together researchers in machine learning and neuroscience to discuss progress and remaining challenges in this exciting and rapidly evolving field. We aim to attract machine learning and computer vision specialists interested in learning about a new problem, as well as computational neuroscientists who may be interested in modeling connectivity data. We will discuss also the results of the First ChaLearn Neural Connectomics Challenge, who attracted over 100 participants, many of them advancing considerably the state-of-the-art. Topics of interest to the workshop include, but are not limited to: • building connectomes from EM data • building connectomes from fMRI data • building connectomes from neurophysiology data • bridging neuroanatomy and neurophysiology • connectomics and learning • neuroimaging technology advances • network reconstruction algorithms • causality in time series • feature selection vs. causal discovery • generative vs. discriminative modeling • sharing data • sharing code • organizing new challenges • establishing ground truth, benchmarking • quantitative metrics of evaluation • theoretical understanding Important dates: o Paper submission: June 20, 2014 o Notification of acceptance: July 05, 2014 o Camera-ready: July 25, 2014 o ECML Workshop: September 15, 2014 Important - Submission Guidelines: We encourage contributions in any of these areas. We welcome 2-page short-form submissions and 6-page long-form submissions. Submissions should be formatted using JMLR Workshop and Proceedings format, style files for which are available at: http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We also encourage submissions of previously-published material that is closely related to the workshop topic (for presentation only). Everybody can attend the workshop even if he does not participate in the challenge (http://connectomics.chalearn.org/) Challenge participants are encouraged to contribute a paper on their results and also submit papers for presentation on the topics of the workshop. The papers have to be submitted via Easy Chair: https://www.easychair.org/conferences/?conf=ncw2014

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REMINDER: Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing
by Jörg Lücke June 6, 2014

June 6, 2014

Dear researchers, There is a bit more than one week left until the deadline for the positions. If you have already applied, please see the end of this e-mail for more details on the required application documents. The given information is in response to some questions we got. Best wishes, Jörg Lücke On 28.04.2014 11:54, Jörg Lücke wrote: > The Machine Learning research group at the University of Oldenburg is > seeking to fill > > Two PhD Research Positions and one (postdoctoral) Research Associate > Position > > All positions are part of the Machine Learning group which develops > learning and inference technology for sensory data. We pursue basic > research, develop new technology, and apply our approaches to > different tasks. Our research hereby combines modern probabilistic > data descriptions, modern computer technology and insights from the > neurosciences. We contribute to the improvement of current methods for > computer hearing, pattern recognition and computer vision as well as > to the understanding of biological and artificial intelligence. > Research will be conducted in close collaboration with leading > international and national research labs. Our research field can be > considered as part of the Data Sciences, Computational Sciences, or > Big Data approaches (to name some terms recently used in the media). > > Salary levels of the positions are based on the TV-L scale of the > German public sector (Öffentlicher Dienst). After the deduction of > health insurance, pension tax and other taxes, the salary for the PhD > positions amounts to approximately 1600 EUR per month, and to about > 2000 EUR per month for the (postdoctoral) Research Associate Position. > Depending on the experience of the candidates, the salary can be > higher. But please note that the only definite sources for all > information on the positions including salary, job description and > application/selection procedure are the central websites of the > University of Oldenburg. > > For the PhD positions see: > http://www.uni-oldenburg.de/stellen/?stelle=63323 > For the postdoc position see: > http://www.uni-oldenburg.de/stellen/?stelle=63322 > > Depending on the skills and interests of the candidates, the research > focus will be on the development of new probabilistic learning > algorithms and/or their applications to high-dimensional sensory data. > Projects can emphasize basic research for general purpose learning and > pattern recognition, or applications of algorithms to specific tasks. > > Candidates for the PhD positions have to hold a Master degree in > Physics, Computer Science, Mathematics or a closely related subject > (at the latest at the time when the contract is signed). > Analytical/mathematical skills and programming skills (e.g. python, > matlab, C++) are required for all candidates. Experiences with Machine > Learning algorithms are desirable. Experiences with acoustic data, > other types of sensory data, and an interest in the neurosciences are > a plus but are not strictly required. > > The candidates for the (postdoctoral) Research Associate position have > to hold a Master degree or (preferably) a PhD/Doctoral degree in > Physics, Computer Science, Mathematics or a closely related subject > (alternatively, a statement can be provided that a PhD/Doctoral degree > will be issued when the position is taken or shortly thereafter). > Analytical/mathematical skills, programming skills, and experience > with Machine Learning algorithms are required. Experiences with > acoustic data, other types of sensory data, and an interest in the > neurosciences are a plus but are not strictly required. The > (postdoctoral) Research Associate position is suitable for part-time > work. > > All positions can be filled immediately and are available for > initially two years with an option for extension. > > The appointed researchers will be part of a very new working > environment. The research group is currently established through a > strategic investment into Machine Learning technology at Oldenburg. > The group is located in a new building, and the Cluster of Excellence > Hearing4all is part of the German Excellence Initiative which funds > top-tier research in Germany. The cluster comprises many > interdisciplinary research groups that are currently set up or that > are extended. As a consequence, many new PhD, postdoc and faculty > positions allow for interesting collaboration opportunities and > provide an attractive scientific and social environment. The city of > Oldenburg is one of Germany's cities with the highest rated living > quality, it is close to the North See and near to the cities of Bremen > and Hamburg. > > For more information about the Machine Learning research group visit: > http://www.uni-oldenburg.de/ml/ > > For more information about the Cluster of Excellence Hearing4all > visit: http://hearing4all.eu/EN/ > > The University of Oldenburg is dedicated to increasing the percentage > of women in science. Therefore, female candidates are particularly > encouraged to apply. According to § 21 III NHG (legislation governing > Higher Education in Lower Saxony) preference will be given to female > candidates in cases of equal qualification. > > Handicapped applicants will be given preference if equally qualified. > > Please send your application including the usual documents (including > contact details for reference letters) preferably electronically (PDF) > to Jörg Lücke <joerg.luecke(a)uni-oldenburg.de> or per mail to: Carl von > Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd. > Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use “Research > Position (PhD)” as subject line for applications to the PhD positions, > and “Research Associate Position (postdoc)” for applications to the > (postdoctoral) Research Associate position. > > The application deadline is 15 June 2014. Applications received after > this date are not guaranteed to enter the selection process. > > > MORE INFORMATION ON APPLICATION DOCUMENTS Note that detailed reviewing of the applications will start immediately after the deadline of June 15. We got some request asking for more information about application documents. Please be advised that the usual application documents include: - a scientific CV with education details including universities visited, degrees taken, final mark/rank (other skills, special courses and other interests are usually part of the CV) - if applicable (mainly postdoc applicants), a list of publications (can be part of the CV) - contact details of at least two researchers who can provide reference letters (you can also send the letters, or send one letter and one other reference) - scans of the original university degrees and translations to English if possible (unless they are in German) Some applicants also do provide a short research statement / statement of interest which can also be part of the cover letter or e-mail. It would also be interesting for us if you state when you could potentially start the position. If you have not provided all the documents stated above, please do provide them in time for the deadline of the position (15 June 2014). Please send an e-mail to Frau Jennifer Köllner <jennifer.koellner(a)uni-oldenburg.de> with subject line “Research Position (PhD) - additional documents” or “Research Position (postdoc) - additional documents” -- Jörg Lücke (PhD) Associate Professor Machine Learning Lab and Cluster of Excellence Hearing4all Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uni-oldenburg.de/ml

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PhD and Post-doctoral opportunities in machine learning and neuroscience.
by Artur Luczak June 6, 2014

June 6, 2014

We seek highly motivated individuals with strong computational backgrounds to work at the interface of machine learning and neuroscience. We have extensive data sets recorded with state-of-the-art optical and electrophysiological methods, spanning normal and abnormal brain function in several experimental preparations. Recent developments in unsupervised machine learning (e.g. deep neural networks) now enable discovery of high-level features of such complex data sets, and provide an opportunity for breakthroughs in understanding brain function. Conversely, many of the most influential ideas in artificial neural networks have been inspired by biological networks. We therefore also endeavor to implement computational elements revealed by recent experimental findings in order to endow artificial neural networks with more brain-like capabilities. Candidates should have a strong interest in understanding how the brain works, and expertise in computational science. Prior experience with deep learning algorithms is preferred but not required. Successful candidates will join the highly collaborative and interdisciplinary Brain Dynamics group (http://lethbridgebraindynamics.com/ ), which has outstanding research strengths in the areas of learning and memory, decision making, information coding and related diseases such as Alzheimer's, schizophrenia, addiction and stroke. Funding is available through our departmental NSERC CREATE grant in Biological Information Processing, which provides a competitive stipend and unique training opportunities in quantitative sciences and entrepreneurship. Lethbridge is a small city located two hours from Calgary, 90 minutes from the Canadian Rockies, and has a sunny and dry climate. For more information please contact Dr. Aaron Gruber <aaron.gruber(a)uleth.ca> or Dr. Artur Luczak <luczak(a)uleth.ca> Canadian Centre for Behavioural Neuroscience Department of Neuroscience, University of Lethbridge 4401 University Drive, Lethbridge, AB, T1K 3M4, Canada http://lethbridgebraindynamics.com/ http://lethbridgebraindynamics.com/artur_luczak http://lethbridgebraindynamics.com/aaron_gruber

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POSTDOC in SPINAL CORD INJURY IMAGING AND MODELING
by Andre Longtin June 5, 2014

June 5, 2014

We seek a postdoctoral candidate to work on MRI image analysis and modeling of spinal cord injury. The candidate would be put forth for the Rick Hansen Fellowship described below. The successful translation of spinal cord repair therapies from animal models to the clinic requires an improved understanding of the injured motor and sensory tracts in humans. While histological tract tracing in animals can delineate the specific injured tracts and allow for therapy evaluation, these tracing methods cannot be applied to patients. Conventional magnetic resonance imaging (MRI) techniques allow spinal cord injury to be imaged; however they do not permit clinicians to reliably determine motor or sensory function. This limitation is due to the fact that conventional MRI imaging results are known to have poor correlation patient motor or sensory tract injury. Our objective is to develop an MRI technique that utilizes techniques such as diffusion tensor imaging (DTI), tractography and functional MRI imaging techniques as a biomarker. This will permit more detailed imaging of the spinal cord and allow improved correlation with neurological function. These improved imaging techniques can then be developed to improve correlation with patient clinical function which can then be used to improve the development and selection of successful therapeutic repair strategies in humans with spinal cord injury. The research consists in developing MRI imaging techniques such as DTI, tractography and functional MRI measures as a stand alone or complementary biomarker that correlates with specific motor or sensory tract function in humans. A large DTI dataset has been compiled from a variety of human spinal cord lesions. The candidate will quantify the level of damage and relate it through modeling and statistical analysis to the observed clinical scores. The DTI and tractography analyses will then be optimized to produce a strong biomarker. The candidate must hold a PhD degree in a relevant field, and will be co-supervised by a team of three investigators: Eve Tsai, a spinal cord neurosurgeon at the Ottawa Hospital Research Institute and University of Ottawa Faculty of Medicine; Andre Longtin, Physics and Medicine, University of Ottawa, a specialist in neural modeling, and Ian Cameron, a senior MRI medical physicist at the OHRI and University of Ottawa. Ideally the candidate would be able to start as soon as possible after receipt of a positive answer (typically within a month or two of being nominated), and no later than December 1st 2014. Applications consisting of a CV should be submitted to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> before June 25 2014 in time for submission of the file of the selected candidate to the Rick Hansen Institute. RICK HANSEN INSTITUTE POSTDOCTORAL FELLOWSHIP INTRODUCTION The Rick Hansen Institute is a Canadian-based not-for-profit organization committed to accelerating the translation of discoveries and best practices into improved treatments for people with spinal cord injuries. Their mission is to lead collaboration across the global SCI community by providing resources, infrastructure and knowledge, and to identify, develop, validate and accelerate the translation of evidence and best practices to reduce the incidence and severity of paralysis after SCI, improve health care outcomes, reduce long-term costs, and improve the quality of life for those living with SCI. PURPOSE OF FUND Award a fellowship to a postdoctoral fellow at the Faculty of Medicine whose research is primarily focused on knowledge transfer and/or implementation sciences related to spinal cord injury (SCI). The recipient would have an opportunity to participate in the various knowledge transfer-related projects currently funded by the Rick Hansen Institute and its SCI partners. FELLOWSHIP DETAILS Eligibility Criteria The applicant must: 1. be a Canadian citizen, a permanent resident, a person with the protected/refugee status, or an international student ; 2. intend to register as a postdoctoral fellow in the Faculty of Medicine of the University of Ottawa 3. be within 4 years of completing a PhD in knowledge transfer, implementation science, spinal cord injury or a related field; and 4. propose a program of research that is primarily focused on knowledge transfer and/or implementation sciences related to spinal cord injury (SCI). Note: The awarding of the fellowship is conditional to the recipient’s registration as a postdoctoral fellow at the Faculty of Medicine, through the Faculty of Graduate and Postdoctoral Studies (as per the FGPS policy on postdoctoral appointments - http://www.grad.uottawa.ca/Default.aspx?tabid=1412) Value of the fellowship: $75,000 CAN per year Number of fellowships: 1 Frequency of awarding: For one year, with possibility of renewal for a second year Level or program of study: Postdoctoral Application contact: Graduate Studies Office, Faculty of Medicine Application deadline: June 30, 2014

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Call For Participation to our upcoming Research Topic: Real-world unisensory and multisensory processing
by Jason Sherwin June 5, 2014

June 5, 2014

Dear Colleagues, It is with great pleasure that I invite you to contribute to a Special Issue for Frontiers. The topic description can be found on its homepage via the link below. We look forward to your boundary-pushing contributions in this exciting area of psychology, neuroscience and other related disciplines. In collaboration with Frontiers in Psychology, section Perception Science, we are organizing a Research Topic titled "Real-world unisensory and multisensory processing: Perceptual and neural mechanisms in complex natural scene processing”, hosted by Jason Sherwin, Jeremy Gaston, Kelvin Oie. As host editor, I would like to encourage you to contribute to this topic. Frontiers, a Swiss open-access publisher, recently partnered with Nature Publishing Group to expand its researcher-driven Open Science platform. Frontiers articles are rigorously peer-reviewed, can be disseminated freely and are widely read by your colleagues and by the broader scientific and medical research communities. The idea behind a research topic is to create an organized, comprehensive collection of several contributions, as well as a forum for discussion and debate. Contributions can be articles describing original research, methods, hypothesis & theory, opinions, etc. We have created a homepage on the Frontiers website (Frontiers in Psychology, section Perception Science) where all articles will appear after peer-review and where participants in the topic will be able to hold relevant discussions: http://www.frontiersin.org/Perception_Science/researchtopics/Real-world_uni…. Frontiers will also compile an e-book, as soon as all contributing articles are published, that can be used in classes, be sent to foundations that fund your research, to journalists and press agencies, or to any number of other organizations. Among others, we have contacted the following authors: Bruno Lucio Giordano David C Jangraw : author Edward A Vessel : author Daniel P Ferris : author Bill Geisler Peter Gerhardstein Giulio Tononi : author Uri Hasson : author Jacek Dmochowski : author Joel Snyder Jordan Muraskin : author Tzyy-Ping Jung : author Klaus Gramman : author Linbi Hong : author Andreas Lozano : author As such, a manuscript accepted for publication incurs a publishing fee, which varies depending on the article type. Research Topic manuscripts receive a significant discount on publishing fees. Please take a look at this fee table: http://www.frontiersin.org/about/PublishingFees. Once published, your articles will remain free to access for all readers, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you retain the copyright to your own papers and figures. I would be delighted if you considered participating in this Research Topic. Should you choose to participate, please confirm by sending me a quick email and then your abstract no later than Jun 27, 2014 using the following link: http://www.frontiersin.org/submissioninfo Please note that the deadline for manuscript submission is on: Dec 19, 2014 Since I am using the Frontiers system to manage this topic, I would really appreciate if you could also please indicate your decision by clicking on one of the links below. AGREE to Participate http://www.frontiersin.org/AcceptContributor.aspx?activationkey=8c7388de-dd… DECLINE to Participate http://www.frontiersin.org/DeclineContributor.aspx?activationkey=8c7388de-d… With best regards, Jason Sherwin Guest Associate Editor, Frontiers in Perception Science www.frontiersin.org Jason Sherwin, Ph.D. Columbia University Department of Biomedical Engineering Laboratory for Intelligent Imaging and Neural Computing 530 West 120th Street, Mail Code: 8904 New York, NY 10027 Phone: +1 - 212 - 854 - 8997 Email: jason.sherwin(a)columbia.edu Managing Editor, IEEE Transactions on Neural Systems and Rehabilitation Engineering Email: managertnsre(a)gmail.com http://tnsre.bme.columbia.edu

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Virtual Physiology for Teaching: SimNerv, SimNeuron etc.
by Hans Albert Braun June 4, 2014

June 4, 2014

Dear Colleagues, we would like to draw your attention to the recently reprogrammed "*Virtual Physiology*" teaching tools, including two neurophysiology labs: SimNerv and SimNeuron. More information is given on our website www.virtual-physiology.com from where you also can download fully functioning demo versions for Windows. * **SimNerv* offers a realistic lab environment on the computer screen to perform classical experiments of compound action potential recordings from the frog sciatic nerve. All parameters of the stimulating and recording devices are freely adjustable. Mathemathical algorithms guarantee for appropriate reactions of the nerves, also considering their physological diversity. *SimNeuron* offers easy to overlook laboratories for voltage- and current clamp experiments on the basis of simplified Hodgkin-Huxley type equations, described, for example, in Tchaptchet et al., Brain Res, 1536: 159-167. A neuron editor allows altering the neuron's parameters to examine their impact on the neurons' dynamics. In addition to these neurophysiology labs you also can download fully functioning demo versions of *SimMuscle* and *SimHeart*, featuring classical experiments with nerve-muscle preparations of the frog and with the isolated heart of the rat in the widely used Langendorff set-up for drug perfusion. To ask for more information, reprints (see short list below), or prices for fully licensed versions for teaching, please, send a reply. We hope you and your students will enjoy working in the virtual physiology laboratories. Best regards Hans Braun and the Virtual Physiology team */ References: /*/see also //*http://www.uni-marburg.de/fb20/physiologie/ags/braun/publications*/* */or //*https://www.res**earchgate.net/profile/Hans_Braun/contributions?ev=prf_act*/ */SimNeuron related references:/* Tchaptchet A, Postnova S, Finke C, Schneider H, Huber MT, Braun HA (2013): Modelin Neuronal Activity in Relation to Experimental Voltage-/Patch-Clamp Recordings. Brain Res 1536: 159-167, http://dx.doi.org/10.1016/j.brainres.2013.06.029 /PubMed: //http://www.ncbi.nlm.nih.gov/pubmed/23911648 Science direct: //http://www.sciencedirect.com/science/article/pii/S0006899313009153/ -/or send a mail to braun(a)uni-marburg.de / Postnova S, Finke C, Huber MT, Voigt K, Braun HA (2011): Conductance-Based Models of Neurons and Synapses for the Evaluation of Brain Functions, Disorders and Drug Effects. In: Biosimulation in Biomedical Research, Health Care and Drug Development. Eds.: Erik Mosekilde, Olga Sosnovtseva, Amin Rostami-Hodjegan. Springer, Wien - New York, pp 93 -- 126. /Can be downloaded from our website www.virtual-physiology .com/ //*/General reports on the first Virtual Physiology release:/* Braun HA (2003) Virtual versus real laboratories in life-science education: Concepts and experiences. In: Jukes N and Chiuia M (Eds) From guinea pig to computer mouse. Interniche, pp 81-87. /Can be downloaded from our website www.virtual-physiology .com/ Bahar S (2000) The Real and Virtual Laboratory: A Conversation with Dr. Hans Braun. In: The Biological Physicist, The Newsletter of the Division of Biological Physics of the American Physical Society. Vol.1 No.1 June 2001 p 5-7. /Can be downloaded from our website www.virtual-physiology .com/ */A recent Poster for the 2014 Conference of the German Physiological Society:/* //Braun HA, Tchaptchet A, dell Oro-Friedl J, Immer D, Schneider H, Braun T, Postnova S, Semyachkina-Glushkovskaya O, Schwabedal J, Wenzel S, Voigt K, Hirsch M: Learning by Doing with the Virtual Physiology Series:Physiological and Pharmacological in silico Experiments. /Can be downloaded from our website www.virtual-physiology .com/ -- Hans A. Braun Neurodymics Lab, Institute of Physiology, Philipps University of Marburg Deutschhaustr. 2, D-35037 Marburg, Germany Phone: +49 6421 286-2305, Mobile: +49 173 319 3028, email: braun(a)staff.uni-marburg.de URL: www.uni-marburg.de/fb20/physiologie/ags/braun see also: www.virtual-physiology.com/

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New code repository for Comp Neuro undergrad course materials
by Rob Clewley June 3, 2014

June 3, 2014

Hi, I have taught two introductory comp neuro classes based mostly on Hugh Wilson's great book, with some additional material from Izhikevich's recent book. The course is intended to be a very practical introduction to the basics of DEs and dynamical systems for modeling neural systems. It focuses on electrophysiology of single neurons and small networks, and is split between lecture and lab format. I have updated a lot of the codes from Wilson's book and put them into PyDSTool, or at least in Python. I never got the chance to rigorously organize these codes, but have decided to post them on github as they are because I've already been contacted by some instructors who wanted to to use PyDSTool for their comp neuro class. There are some homework and project ideas up there too. Feel free to fork and contribute on github for others to benefit from any further input. https://github.com/robclewley/compneuro http://www.ni.gsu.edu/~rclewley/Teaching/CompNeuro/NEUR4030.html Best, Rob -- Robert Clewley, Ph.D. Assistant Professor Neuroscience Institute and Department of Mathematics and Statistics Georgia State University PO Box 5030 Atlanta, GA 30302, USA tel: 404-413-6420 fax: 404-413-5446 http://neuroscience.gsu.edu/rclewley.html

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Applicant Call for Goettingen's Computational Neuroscience Summer Course
by Maximilian Puelma Touzel June 3, 2014

June 3, 2014

Applications are invited for the 12th summer course on COMPUTATIONAL NEUROSCIENCE in Göttingen, Germany September 08th - 12th, 2014 Organized by Agostina Palmigiano, Joscha Liedtke and Maximilian Puelma-Touzel The course is intended to provide graduate students and young researchers from within and outside of neuroscience with working knowledge of theoretical and computational methods used in the field and to acquaint them with recent developments therein. The focus of this year's course is modelling and theory of neuronal ensembles. The course includes tutorials and lectures from the following researchers: * Carl Van Vreesijk, Universite Rene Descartes, Paris, France * Claudia Clopath, Imperial College London, London, England * Srdjan Ostojic, École Normale Supérieure, Paris, France * Gasper Tkacik, Institute of Science and Technology, Vienna, Austria * Alfonso Renart, Champalimaud Centre for the Unknown, Lisbon, Portugal The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. A course fee of 100 Euro includes participation in the tutorials, study materials, and part of the social events. The number of participants is limited to 30. Course language is English. To apply please fill out the application form at: http://www.bccn-goettingen.de/events/cns-course by *August 5, 2014* Best wishes and looking forward to seeing you in Göttingen, Max Puelma Touzel (on behalf of the organizers) Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile mptouzel(a)nld.ds.mpg.de www.nld.ds.mpg.de Maximilian Puelma Touzel Max Planck Institute for Dynamics and Self-Organization Fassberg 17, 37077 Goettingen, Germany +49 551 5176 444 Office +49 (0)176 6 876 2821 Mobile <mailto:mptouzel@nld.ds.mpg.de> mptouzel(a)nld.ds.mpg.de <http://www.nld.ds.mpg.de/> www.nld.ds.mpg.de

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PhD position in computational modelling
by Jane Neumann June 3, 2014

June 3, 2014

The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Center (CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital are offering a PhD studentship in computational modelling. Within the project, computational modelling is used to investigate leaning and decision-making in humans. The project is aimed at the multi-modal integration of available and newly acquired behavioral, structural/functional magnetic resonance imaging (MRI), PET and genetic data towards comprehensive computational and neurocognitive models of cognitive control over behavior. Work will be carried out at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Both Leipzig's long tradition in conducting neuroscientific research and the ultra-modern equipment at the Max Planck Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, maths, psychology, biology, cognitive science or related. Prior experience in the fields of computational neuroscience and/or neuroimaging are of great advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to neumann(a)cbs.mpg.de referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (+49 (0) 341 99 40 26 21). For meeting Dr. Neumann and Dr. Horstmann at *OHBM 2014*, please send an email to neumann(a)cbs.mpg.de or horstmann(a)cbs.mpg.de including days and times when you are available during the conference. The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal. Deadline for application: until position is filled Further details about the project can also be found at www.o-brain-project.de

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[meetings] Living Machines III: Call for Participation in Conference, Demos and Workshops
by Nathan F Lepora June 3, 2014

June 3, 2014

_____________________________________________________________ Call for Participation in Conference, Demos and Workshops Living Machines: The 3rd International Conference on Biomimetic Robotics and Biohybrid Systems. A Convergent Science Network Event 29th July to 1st August 2014 Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano http://csnetwork.eu/livingmachines/conf2014 ______________________________________________________________ News & Highlights * Deadline for early registration, June 30th, 2014. * Book on time accommodation for good value and availability. see LM2014 for suggestions http://csnetwork.eu/livingmachines/conf2014/accommodation * Main conference programme now online, 6 plenary talks, 1 invited talk, 18 single-track oral presentations, 10 poster spotlights, 40 posters. * 4 satellite workshops also available for registration as separate events, topics include autonomous locomotion systems, the robot self, emergent social behavior, and biomimetics in design. * Bring a demo, be it a robot or an installation, for an exhibition on biomimetic robots, biohybrid computer art, live robot performance or videos. * If you wish to bring a demo please contact us. info.csnetwork(a)upf.edu * If you need help with transporting your demo to Milano contact us at info.csnetwork(a)upf.edu * You can book the social dinner as a separate event. Contact info.csnetwork(a)upf.edu for all enquiries. ABOUT LIVING MACHINES 2014 The 3rd International Conference on Biomimetic and Biohybrid systems comprises 4 days of events including 3 days of single-track oral presentations with 6 plenary speakers; a 1-day with five satellite workshops on themes ranging from autonomous robots to robot “selves” to biomimetics in design and social impacts of living machines. On Wednesday there will be a reception offered by the Tailor & Francis group http://www.taylorandfrancis.com/ and, on Thursday there will be the LM2014 banquet. We hope you will join us for this exciting programme! The conference registration site is open. Please register soon to take advantage of early registration—deadline June 30th ***From every accepted paper at least 1 author must be registered and present at the Conference*** CONFERENCE PROGRAMME **Program now available online** http://csnetwork.eu/livingmachines/conf2014/programme The main conference will take the form of a single-track oral presentation programme, 30th July to midday 1st August 2014 that will include 6 plenary lectures from leading international researchers in biomimetic and biohybrid systems. Agreed speakers are: Mandyam Srinivasan Queensland Brain Institute, Australia Insect-inspired cognition and vision Andrew Schwartz University of Minnesota, Pittsburgh, USA Neural control of prosthetics Sarah Bergbreiter University of Maryland, USA Microrobotics Darwin Caldwell Italian Institute of Technology, Genova, Italy Legged Locomotion Ricard Sole Universitat Pompeu Fabra, Barcelona, Spain Evolution of complex networks Minoru Asada Osaka University, Japan Cognitive and Affective Developmental Robotics There will also be 18 regular talks of 30 min, 1 invited talk on Thursday at midday on Biomimetics in Design by Franco Lodato, 10 Poster Spotlights of 5 min and 2 poster sessions of 90 mins each (midday of July 30st and August 1st) featuring 40 posters. Particular themes include: Soft Robotics Neuromechanics Social Robotics Locomotion Biohybrid Brain-based Active Sensing WORKSHOPS In addition to the main conference there is one further day of workshops, each with their own full program that will be available soon on the Living Machines website. Monday 29th July Embodied Interaction and Internal Models: Key Features of Autonomous Locomotion Systems - Organisers: Volker Dürr, Biological Cybernetics, Bielefeld University, Germany, Paolo Arena, Electrical Engineering, University of Catania, Italy The Robot Self - Organizers: Tony Prescott, University of Sheffield, UK; Paul Verschure Universitat Pompeu Fabra Barcelona, CSNII Emergent social behaviours in bio-hybrid systems - Organizers: José Halloy: Universite Paris Diderot. Thomas Schmickl: Karl-Franzens-University Graz, Stuart Wilson, University of Sheffield Rotational Geometry and the Creation of Bionic Models. - Organizers: Pino Trogu, San Francisco State University, USA, Franco Lodato, Creative Director VSN Mobil with Istituto Europeo di Design, Milano Neuro-chip interfaces and Neuroprostheses - Organizers: Stefano Vassanelli, University of Padova, Italy Attendance at workshops will attract a small fee intended to cover the costs of the meeting. We have reserved meeting rooms at the Italian Institute of Technology in Milan each with capacity for up to 40 people. Please book early. Separate registration for satellite events is possible. ABOUT THE VENUE The organisers are delighted to have secured the Museo Nazionale della Scienza e della Tecnologia, Leonardo Da Vinci Milano as the main venue for our conference. The museum is a centre dedicated to Leonardo da Vinci a symbol of the connection between artistic and scientific-technological cultures, two complementary expressions of human creativity. KEY DATES June 30th 2014 Deadline for early registration July 30th - August 1st 2014 Conference We are looking forwards to seeing you in Milano. ORGANISING COMMITTEE Tony Prescott (co-chair) Paul Verschure (co-chair) Armin Duff (programme chair) Roberto Cingolani (local organizer) Barbara Mazzolai (workshops) Nathan Lepora (communications) Anna Mura (communications and web-site) Contact and Conference Secretariat: Info.csnetwork(a)upf.edu living-machines(a)sheffield.ac.uk

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[PhD] Natural scene statistics and visual motion processing in humans and non-human primates
by Laurent Perrinet June 3, 2014

June 3, 2014

Dear List, Applications are invited for 3 PhD positions funded by the PhD program in Integrative and Clinical Neurosciences (http://www.int.univ-amu.fr/PhD-Program-in-Integrative-and) as described in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf among which the following ---at the Institute of Neurosciences, Timone in Marseille, France--- may be of interest to the list. Deadline for applications is June 15th. Cheers, Laurent -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet Title: Natural scene statistics and visual motion processing in humans and non-human primates Supervisor: Guillaume MASSON Laboratory: Institute of Neurosciences, Timone (INT) State of the art: The mammalian visual system is tuned to process the complex, high-dimension statistics of natural scenes. For instance, neuronal responses to natural inputs are more ﬁnely tuned, more temporally precise and more sparse. A major challenge is to understand how such complex information is integrated to measure perceptual quantities such as object motion in a crowded environment. From a theoretical perspective, this implies to understand how the cascade of cortical processing steps extracts the relevant dimensions through linear (e.g. ﬁltering) and nonlinear (e.g. gain control, contextual modulation) mechanisms. From an experimental perspective, the challenge implies to design behavioural tasks that can dissect out these mechanisms. The classical approach is to compare classic, low-dimension stimuli such as gratings or dots with natural images. However, it is almost impossible to parametrize natural scenes in a useful way. We [1], and others [2], have designed and begun to use naturalistic stimuli as static or dynamic textures of which mean and variance along each parameter space is manipulated to demonstrate how sensory systems sense and represent information. We have recently shown in Nature Neuroscience3 that richer textures drive more accurate and reliable ocular tracking responses. This is the ﬁrst demonstration that naturalistic inputs processing can be probed using sensorimotor tasks. Objectives: Our objective is to demonstrate that in human and non-human primates, estimating direction and speed of a moving object requires to integrate information from the multiple spatial and temporal scales existing in natural scenes. We will investigate how different spatiotemporal frequency channels are nonlinearly combined to drive faster and more precise tracking eye movements. In particular, we will extend our previous study [3] by studying how richness of visual motion information reduces the variability of motor responses, within and across trials. We will also study how the geometric organization of the texture input impacts performance, opening the door to understanding the link between low-level motion processing and the perceptual organization of complex scenes. Methods: The approach is based on probing low-level visual processing through the dynamics of reﬂexive eye movements. Ocular following responses exist in both humans and non-human primates and over the last 15 years we, and others have shown how they can probe low-level motion mechanisms. The PhD will work in non-human primates to conduct behavioural experiments using random phase textures and recording eye movements with the scleral search coil technique. Behavioural performance will be assessed through kinematics (acceleration, latency…) as well as through detection and discrimination tasks (i.e. comparison between responses for two stimuli). Expected results: A ﬁrst step will be to reproduce the main observation made in humans: richness of the inputs improves precision and decreases variability. Then we will characterize the nonlinear interactions between spatiotemporal channels underlying speed estimation through motion energy and their temporal dynamics. Feasibility: This project is supported by an ANR project (SPEED) that started in October 2013. The PhD student will work in close collaboration with a PD fellow working in humans as we expect the ﬁrst series of experiments to be identical in both species. A non-human primate set-up is available and a research assistant (F Barthelemy) will daily supervise the lab work. The InViBe team has strong expertises in modelling and electrophysiology so that the project will open the door for collaborative work in texture synthesis and speed processing modelling with Laurent Perrinet and recording of population activity evoked with dense, naturalistic textures with Fred Chavane. 1 Sanz-Léon et al. (2012) J Neurophysiol http://invibe.net/LaurentPerrinet/Publications/Sanz12 2 Freeman et al. (2013) Nature Neuroscience 3 Simoncini et al. (2012) Nature Neuroscience http://invibe.net/LaurentPerrinet/Publications/Simoncini12 Listed as Research project #18 in: http://www.int.univ-amu.fr/IMG/pdf/List_of_research_projects.pdf More Guidelines: In 2014, the PhD program in Integrative and Clinical Neurosciences will fund three PhD scholarships to excellent Master graduates from non-French top ranked universities The selection process includes the following steps : Nineteen research projects of excellence from AMU laboratories have been selected by the board of the PhD program. Applicants have to select and rank two research projects and motivate their choice The selection committee will shortlist 10 students that will be individually interviewed in June The final decision will be known in July and the three successful candidates will start their PhD in October. Guidelines for students The scholarships are open to high performing Master graduates from top ranked non-French universities. Applicants must provide the following documents : A first e-mail should be sent by you to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "PhD Application, YourName" [1] and three documents in the appropriate format : a Curriculum Vitae. This document should be named "YourName_CV.doc" a document highlighting the adequacy between the applicant’s background and the selected research projects (to be download here). Please use the following template to be download here. This document should be named "YourName_ResearchProjects.doc" . a one page letter of motivation (500 words). This document should be named "YourName_motivation_letter.doc" . two letters of recommendation will have to be sent directly to edsvs-neuroscience-phd-program(a)univ-amu.fr with the subject "Recommendation, YourName" , using the following template to be download here. This document should be named "YourName_Evaluation.doc". Closing date for applications : Sunday, June 15th, at midnight (French time). Scholarship value : Net monthly salary : 1,368 €. Expenses : applicants will pay their annual tuition fee (around 500 €) and, when needed, their visa fee. Tenure of award : 3 years General rules Any incomplete application will not be considered How and when do students learn about the decision ? Offers of PhD scholarships will be made soon after the final individual interview, early July. Because some applicants may decline a scholarship, it is possible that some applicants receive their notification of selection a week after the final decision What conditions are attached to acceptance of this award ? Scholarship recipients must sign a Postgraduate Scholarships Contract agreeing to abide by the attached regulations. Recipients will be required to devote themselves full-time to their program of research during the tenure of the scholarship Selection committee : members of the PhD program board and members of the AMU neuroscience community. None of them will be the supervisor of a proposed research project

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[meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)
by Karthik Mahesh Varadarajan June 2, 2014

June 2, 2014

========================================================================== *Call for Papers- Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis* (in conjunction with ECCV 2014), September 7, 2014, Zurich, Switzerland http://affordances.info/workshops/ECCV.html ========================================================================== The workshop seeks to address key challenges in computer vision and applications such as robotics with regard to functional form descriptions, which are termed as "affordances". Based on the Gibsonian principle of defining objects by their function, "affordances" have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision researchers to build visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive vision (recognition of objects, activities, scenes etc.) while integrating the efforts and language of affordance communities not just in computer vision, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net) In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision algorithms leading to various intelligent applications. The workshop will also feature contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others - Affordances in visual perception models - Affordances as visual primitives, common coding features and symbolic cognitive systems - Affordances for object recognition, search, attention modulation, functional scene understanding and classification - Object functionality analysis - Affordances from appearance and touch based cues - Haptic adjectives - Functional-visual categories for transfer learning - Actions and functions in object perception - Human-object interactions and modeling - Motion-capture data analysis for object categorization - Affordances in human and robot grasping - Affordance learning - Affordance ontologies - Knowledge bases for affordances and affordance modeling Understanding various challenges in the field of affordances and building a common language and framework for communication across the varied affordance communities are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet. *Paper Submissions* Paper contributions to the workshop are solicited in four different formats. This departure from the regular format is intended to promote greater contribution and cater to the needs of affordance communities from various disciplines such as Knowledge Representation, Psychology, Psychophysics, Neuroscience, Kinematics, Ontologies besides traditional audience such as from Cognitive/ Computer Vision and Robotics. - *Conceptual papers* (2 pages): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues. - *Design papers* (6 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups. - *Experimental papers* (6 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches. - *Full papers* (14 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation. The program will be composed of oral as well as Pecha-Kucha style presentations. Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the ECCV formatting guidelines (Templates: LaTeX <http://eccv2014.org/wp-content/uploads/2013/10/eccv2014kit.zip>). All contributions are to be submitted via Microsoft Conference Management Tool <https://cmt.research.microsoft.com/A22014/Default.aspx> in PDF. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. Hence, while early submissions will have a better chance of acceptance than late submissions, submission to either (or both) rounds is equally encouraged. *Important Dates* - Initial submissions (Early): 23:59:59 PDT *Jun 10*, 2014 - Notification of acceptance (Early submissions): June 20, 2014 - Initial submissions (Late): 23:59:59 PDT June 25, 2014 - Notification of acceptance (Late submissions): July 15, 2014 - Submission of publication-ready version: July 25, 2014 - Workshop date: September 7, 2014 *Organizers* Karthik Mahesh Varadarajan <http://www.karthikmahesh.com> (varadarajan(at) acin.tuwien.ac.at), TU Wien Alireza Fathi <http://ai.stanford.edu/~alireza/> (alireza(at)cs.stanford.edu) Stanford Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/> (gall(at) iai.uni-bonn.de), Univ. Bonn Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1> (vincze(at)tuwien.ac.at), TU Wien *Speakers and Participants* (To be updated) Fei-Fei Li (Affordances in Computer Vision), Stanford University, USA Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University, USA Derek Hoiem (Affordance Semantics), University of Illinois at Urbana-Champaign, USA Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University, USA Aaron Bobick (Affordances in Robotics), GeorgiaTech, USA *Program Committee* Irving Biederman (USC) Aude Oliva (MIT) Martha Teghtsoonian (Smith College) Barbara Caputo (Univ. of Rome, IDIAP) Song-Chun Zhu (UCLA) Antonis Argyros (FORTH) Tamim Asfour (KIT) Trevor Darrell (UC. Berkeley) Michael Beetz (TUM) Norbert Krueger (Univ. of Southern Denmark) Sven Dickinson (Univ. of Toronto) Erhan Oztop (Ozegin Univ.) Diane Pecher (Erasmus Univ. Rotterdam) Jason Corso (UB New York) Juan Carlos Niebles (Universidad del Norte) Tamara Berg (UNC Chapel Hill) Moritz Tenorth (Univ. Bremen) Dejan Pangercic (Robert Bosch) Roozbeh Mottaghi (Stanford) Xiaofeng Ren (Amazon) David Fouhey (CMU) Tucker Hermans (Georgia Tech) Tian Lan (Stanford) Amir Roshan Zamir (UCF) Hamed Pirsiavash (MIT) Walterio Mayol-Cuevas (Univ. of Bristol)

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Real-life cognition contest (submission deadline Nov 1 2014)
by Michael Hanke June 2, 2014

June 2, 2014

In order to fully understand how the brain works, it is essential to study the complex inter-play of cognitive processes that are characteristic when interacting with a rich natural environment. Going beyond the localization of individual aspects of brain function is pivotal as there are clear limits to what we can learn about the function of the brain as whole via restricting investigation to specialized cognitive sub-systems in feature deprived laboratory settings. We believe that there is need for more publicly available data on real-life cognition, as well as analysis strategies to study complex concurrent neural processes. We invite research groups and individuals to participate in a contest to master these challenges. As a starting point, we have published a large dataset (functional MRI, simultaneous cardiac and respiratory measurements, technical noise estimates, high-res structural images (T1w, T2w, SWI, angiography, DTI), and stimulus annotations) that is available to anyone without restrictions: Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.R., Pollmann, S., Speck, O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data, 1. doi:10.1038/sdata.2014.3 Among all submissions that are received until November 1 2014 a jury will determine the best contributions in terms of novelty of the approach, scientific rigor, and potential impact on future research and application. The best three contributions will receive an award (3000, 1500, and 500 Euro respectively) sponsored by the Center for Behavioral Brain Sciences, Magdeburg, Germany. The jury consists of: Uri Hasson (Princeton University) James Haxby (Dartmouth College) Daniel Margulies (MPI Leipzig) Russ Poldrack (U Texas, Austin) Jean-Baptiste Poline (Neurospin) Stefan Pollmann (CBBS, Magdeburg) Peter Ramadge (Princeton University) For more information, demos, and data access visit: http://studyforrest.org

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PhD Scholarship in Machine Learning for Neuroscience
by Paolo Avesani June 1, 2014

June 1, 2014

PHD SCHOLARSHIP IN MACHINE LEARNING FOR NEUROSCIENCE The Department of Information Engineering and Computer Science (DISI) at the University of Trento and its research partner Fondazione Bruno Kessler (FBK), invites applications for 1 open PhD position covered by scholarship in the area of Machine Learning for Neuroscience. The deadline for applications is June 16, 2014, before 16:00, CET. The PhD research program aims at carrying out research activity on machine learning methodologies for neuroscientific data analysis. The main goal is the design and the deployment of machine learning algorithms for neuroimaging-based neuroscience investigations. The research focuses on three specific tasks: brain decoding, brain mapping and brain connectivity. The challenge is to design effective computational methods for multivariate pattern analysis. The PhD research program will take place at NILab, the Neuroinformatics Laboratory raised as a joint initiative of the Bruno Kessler Foundation and the Center for Mind/Brain Sciences (CIMeC) of the University of Trento. The University of Trento ranks 1st among the Italian Universities in the rankings of Times Higher Education and CIMeC ranks 1st for quality of research in the ranking of the Italian National for the Evaluation of Universities and Research (ANVUR). CIMeC has 6 ERC starting grants and 1 advanced grant. Trento ranks 1st in the annual survey on quality of life in Italian cities conducted by daily Il Sole 24 Ore. Details on the PhD School and a link to the online application are provided below. For further information, please contact info.nilab(a)fbk.eu. Links - PhD School: http://ict.unitn.it/ - DISI: http://disi.unitn.it - FBK: http://www.fbk.eu - NILab: http://nilab.fbk.eu - CIMeC: http://www.cimec.unitn.it

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Postdoc opening
by Malte Rasch June 1, 2014

June 1, 2014

Our Computational Neuroscience Lab at the Institute for Cognitive & Neuroscience and Learning at the Beijing Normal University (BNU) has an opening for a postdoc working in the field of computational neuroscience. Our lab is interested in neural model building, neural information processing, and data analysis in close collaboration with experimentalist in the areas of neural correlates of perceptual learning in the visual cortex in monkeys, multisensory integration, critical period plasticity in mice, motion integration, group learning in fish, and others. We have very close ties with a number of experimental groups on the campus, including 4 active awake monkey labs, eager to share data. There are thus various possible research projects for a computational postdoc interested in data analysis and model building in close collaboration with experiments. We invite applications from prospective postdocs with background in a computational discipline, such as computational neuroscience, computer science, biophysics, computer vision, or machine learning. Former experience working with neuroscience data is of advantage. The position is open immediately and supported by the Chinese government for 2 years and especially encourages non-Chinese applicants. Eligible candidates must have a recent PhD from a renowned university, strong publication record, fluent English proficiency and have to be younger than 35. Salary is very competitive and adjusted to an international level. Chinese knowledge is no requirement but willingness to learn would help in daily life. The Cognitive & Neuroscience and Learning Institute is a government supported research facility with one of the strongest neuroscience clusters in China. It is located within the urban center of the vibrant city of Beijing with a multitude of attractions and active night life. For more infos on research, see http://www.mjrlab.org and http://brain.bnu.edu.cn/ (English site under construction). If you are interested and qualified, please send a cover letter, CV, transcripts of relevant publications to malte.rasch(a)bnu.edu.cn or wusi(a)bnu.edu.cn. --- Dr. Malte Rasch Associate Professor Neural Data Modelling Group State Key Lab for Cognitive Neuroscience & Learning Beijing Normal University www.mjrlab.org

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2nd Announcement: Bernstein Sparks Workshop and CI2014 conference, 20 June 2014
by Seeber, Bernhard May 30, 2014

May 30, 2014

Dear List, I would like to invite you to the 3rd Bernstein Sparks Workshop on "Modelling and Signal Processing for Auditory Implants" and to the CI 2014 conference in Munich. The conference will take place on 18-21 June 2014 and the workshop will be held on Friday, 20 June 2014, in the conference venue. The workshop will feature invited talks by experts in the field which cover the topic from physiological aspects to various models (physiologically inspired and perceptual models) and their application for designing new stimulation strategies for auditory implants. Attendance to the workshop is free for conference participants and Bernstein members. Conference day tickets will be available. More information can be found at: http://www.ci2014muc.info/Bernstein-Sparks-Workshop.708.0.html http://www.ci2014muc.info Looking forward to meeting you in Munich, Bernhard Seeber -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Dept. of Electrical Engineering and Information Technology Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de www.bseeber.de

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IEEE SSCI 2014 Doctoral Consortium (deadline June 15, 2014) - Call for Applications
by Stephen G Matthews May 30, 2014

May 30, 2014

IEEE SSCI 2014 Doctoral Consortium - Call for Applications The IEEE Symposium Series on Computational Intelligence (SSCI) 2014 will be running a Doctoral Consortium alongside the symposium. The objective of this Doctoral Consortium is to provide an opportunity for Ph.D. students to discuss their dissertation research topics, research plans, and research methodologies in a supportive environment with peers in the community. The feedback, advice, and guidance will be invaluable to Ph.D. students in supporting their current and future research in computational intelligence and their future careers. There are dedicated financial support for selected Ph.D. students to attend this Doctoral Consortium as well as student travel grants for SSCI. Applications In order to submit to the Doctoral Consortium, students are required to submit the following items through the same portal as papers for SSCI. 1. Cover sheet that includes: - Full name - Affiliation and email address - Expected graduation date - Thesis advisor’s full name, title, affiliation and email address - Title of research - List of up to 5 keywords to help select reviewers for the application 2. A 2-page summary of Ph.D. research that includes: - Title of research - Name, affiliation, and email address - Research question and significance - Important literature - Proposed research methodology - Preliminary results - Future research plan - Reference list (maximum one page, not included in 2-page limit) 3. CV 4. Letter of support from Ph.D. supervisor or other faculty member 5. Confirmation letter of Ph.D. student status Key dates are the same as for the SSCI Submission June 15, 2014 Notification September 5, 2014 Final Submission October 5, 2014 Full details of the Doctoral Consortium are available from http://ieee-ssci.org/consortium.html Co-Chairs Stephen G. Matthews, University of Bristol, UK Xiaorong Zhang, San Francisco State University, USA Demetrios G. Eliades, University of Cyprus, Cyprus

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CogModel notes: ICCM15/BRIMS14/books/prize/new society/Job
by Frank Ritter May 29, 2014

May 29, 2014

This is the second emailing for ICCM 2015. Please forward if appropriate to your members, and put appropriate links onto your web site. Normally, the ICCM 2015 announcement would drive this email (it will be in Gronigen, near April 2015, on its regular (15/18 month) schedule, this should be settled next month). But, there are several timely announcements that indicate new publication outlets, resources, and jobs in Cog Sci and in cognitive modeling. I have also included several unusual items, including an interesting conference and a Kickstarter campaign! Now in order: meetings, resources, jobs. If you would like to be removed, please just let me know. I maintain it by hand to keep it small. [Hypertext version available at http://acs.ist.psu.edu/iccm2015/iccm-mailing-may2014.html] cheers, Frank Ritter frank.e.ritter(a)gmail.com http://www.frankritter.com **************************************************************** 1. Intnl. Conf. on Cognitive Modeling, April 2015 in Gronigen, NL 2. WASET International Conference on Cognitive Modeling (!) [link suppressed] :::: Other conferences, workshops 3. BRIMS 2014 proceedings online http://cc.ist.psu.edu/BRIMS/archives/2014/ 4. Cognitive Science Society annual meeting, 27 june early reg. deadline http://cognitivesciencesociety.org/conference_future.html 5. Cognitive Science Tutorial Program, 23 July 2014 http://cognitivesciencesociety.org/conference2014/tutorials.html 6. ACT-R Workshop at Cognitive Science 2014 http://cognitivesciencesociety.org/conference2014/workshops.html [from act-r mailing list] 7. Soar Workshop, week of 16 June https://web.eecs.umich.edu/~soar/workshop/ 8. 3rd Conference on Advances in Cognitive Systems, May 2015 http://www.cogsys.org/2015 9. BICA 2014 call for papers, due 26 May 2014, but other dates http://bicasociety.org/meetings/2014/ 10. Nengo Summer School, 8-21 June http://nengo.ca/summerschool 11. Summer School - Web Science & the Mind, 7-18 July, reg. still open http://www.summer14.isc.uqam.ca/ 12. CFP for 2015 iConference in Newport Beach, CA, 24-27 March 2015 http://ischools.org/the-iconference/ papers due 5 sept 2014 13. Intl. Summer School in Cog. Sci., 30 Jun-11 July, Bulgaria http://nbu.bg/cogs/events/ss2014.html 14. 14th Neural Computation and Psychology Workshop, 21-23 Aug http://www.psych.lancs.ac.uk/ncpw14 15. AI for Human-Robot Interaction (AI-HRI), papers due 13 June 14 http://ai-hri.github.io/ :::: Other resources 16. OpenWorm Kickstarter Campaign http://www.openworm.org 17. Numerous books to review 18. Premodeling / HCI book FDUCs: What designers need to know about people http://www.frankritter.com/fducs/ 19. New Society: The Society for Affective Science and Conference http://www.society-for-affective-science.org/conference 20. $10k prize for best paper in Human Factors journal, due 2 June 14 http://www.hfes.org/web/pubpages/hfprize.html :::: Jobs 21. Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling http://www.la.psu.edu/facultysearch/ **************************************************************** 1. International Conf. on Cognitive Modeling, April 2015 in Gronigen, NL The International Conference on Cognitive Modeling will take place in April 2015 (approx. date) at RU/Gronigen, in the Netherlands. The deadline date for submissions will be in the Fall of 2014. Further announcements will provide more details. **************************************************************** 2. WASET International Conference on Cognitive Modeling (!) [link suppressed] Cognitive modeling has grown, and we don't always know everyone doing it any more. But, it has also now grown enough that WASET, the (so-called) World Academy of Science, Engineering and Technology has created a "WASET International Conference on Cognitive Modeling". WASET has NO RELATION to the ICCM conference folks. If you have any useful suggestions, please get in touch. I've emailed a few of their program committee members, where I could find their addresses, to start a discussion. The program committee appears to be made up of scholars from other areas, and I have confirmed that with two of them, who don't know how to be removed. References https://en.wikipedia.org/wiki/World_Academy_of_Science,_Engineering_and_Tec… Google has plenty more information on WASET. Google: WASET International Conference on Cognitive Modeling 2014 will get you to the interesting conference. [I now suggest that we put copyright on our web pages, and, realise that cognitive modeling is now important enough to be copied (that is a neutral term) by WASAT.] **************************************************************** 3. BRIMS 2014 proceedings online http://cc.ist.psu.edu/BRIMS/archives/2014/ The Behavior Representation in Modeling and Simulation (BRIMS) conference (http://cc.ist.psu.edu/BRIMS2014/) was held 1-4 April. It was held with the Social computing, Behavioral-cultural modeling, and Prediction (SBP) conference (http://sbp-conference.org/) in DC. Its proceedings are online at http://cc.ist.psu.edu/BRIMS/archives/2014/ The place and time for next year are not yet announced. **************************************************************** 4. Cognitive Science Society annual meeting, 27 june early reg. deadline http://cognitivesciencesociety.org/conference_future.html CogSci 2014 - Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts Quebec City, CA 23-26 July 2014 Website URL for future conference: http://cognitivesciencesociety.org/conference_future.html ---- Highlights Include: Plenary Speakers: Dedre Gentner, Steven Harnad, & Minoru Asada 13th Rumelhart Prize Recipient: Ray Jackendoff Symposia: "Foundations of Social Cognition", "Moral Cognition and Computation", "The Future of Human-Agent Interaction" Cognitive scientists from around the world are invited to attend CogSci 2014, the world's premiere annual conference on cognitive science. The conference represents a broad spectrum of disciplines, topics, and methodologies from across the cognitive sciences. In addition to the invited presentations, the program will be filled with reviewed submissions from the following categories: papers, symposia, presentation-based talks, member abstracts, tutorials, and workshops. Submissions must be completed electronically through the conference submissions web site. Submissions may be in any area of the cognitive sciences, including, but not limited to, anthropology, artificial intelligence, computational cognitive systems, cognitive development, cognitive neuroscience, cognitive psychology, education, linguistics, logic, machine learning, neural networks, philosophy, robotics and social network studies. Information regarding the submission process, including opening dates for the submission website will be posted shortly. http://cognitivesciencesociety.org/conference2014/submissions.html We look forward to seeing you in Quebec City. Conference Co-Chairs: Paul Bello, Marcello Guarini, Marjorie McShane, and Brian Scassellati *********************************************************** 5. Cognitive Science Tutorial Program, 23 July 2014 http://cognitivesciencesociety.org/conference2014/tutorials.html Growth Curve Analysis: A Hands-On Tutorial on Using Multilevel Regression to Analyze Time Course Data Daniel Mirman Full Day Tutorial on Quantum Models of Cognition and Decision Zheng Wang, Jerome Busemeyer, Jennifer Trueblood Probability, programs, and the mind: Building structured Bayesian models of cognition Noah Goodman, Josh Tenenbaum Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk Josh de Leeuw, Anna Coenen, Doug Markant, Jay B. Jay B. Martin, John McDonnell, Alexander Rich, Todd Gureckis Types and states: Mixture and hidden Markov models for cognitive science Ingmar Visser, Maarten Speekenbrink Practical Advice on How to Run Human Behavioral Studies Frank Ritter, Jong Kim *********************************************************** 6. ACT-R Workshop at Cognitive Science 2014 http://cognitivesciencesociety.org/conference2014/workshops.html [from act-r mailing list] The ACT-R Workshop 2014 will be held as part of the Cognitive Science annual meeting: http://cognitivesciencesociety.org/conference2014/workshops.html The workshop this year will be organized around four themes: Neuroscience, Metacognition, Applications, and Architecture. We expect to discuss a wide range of issues that relate to cognitive architectures and cognitive modeling more generally; anyone interested in these issues (regardless of familiarity with ACT-R) is invited and encouraged to attend. If you have an idea for a short presentation at the workshop, please email me, salvucci(a)drexel.edu a possible title and description. Registration information should be available soon on the Cognitive Science web site. **************************************************************** 7. Soar Workshop, week of 16 June https://web.eecs.umich.edu/~soar/workshop/ The Center for Cognitive Architecture at the University of Michigan (http://sitemaker.umich.edu/soarweb/home) and Soar Technology (http://www.soartech.com/) are pleased to announce that the 34th Soar Workshop will be held the week of June 16, 2014 at the Computer Science and Engineering building at the University of Michigan in Ann Arbor. For those of you not familiar with the Soar Workshop (https://web.eecs.umich.edu/~soar/workshop/) each year, members of the Soar community -- faculty, scientists, graduate students, technical staff and developers -- gather together for several days of intensive interaction and exchange on Soar. The Soar community is widely distributed geographically, so these workshops (http://sitemaker.umich.edu/soar/soar_workshop_proceedings) provide an opportunity to have face-to-face conversations, learn about the current status of other participants' research and get previews of what will happen in the future. We will try to give as many members of the community as possible the opportunity to describe their research or discuss the Soar issues that are of concern to them. This means the time available per talk is quite short (typically either 5 or 15 minutes). Since workshop attendees are already entrenched in the Soar world, brief talks that concentrate on only the essentials work very well. The workshop format is presentations only -- no formal papers. [but slides are often collected] There is no charge to attend the 33rd Soar Workshop although registration at https://web.eecs.umich.edu/~soar/workshop/manage.php this link is required. You may sign up to give talks of various lengths as soon as you're registered. And then please upload a copy of your presentation(s) by June 4th, 2013 via the Soar Workshop registration page (https://web.eecs.umich.edu/~soar/workshop/manage.php) Please make sure to register as soon as possible so that we can plan the workshop accordingly! Questions and information regarding the workshop should be directed to John Laird via (laird(a)umich.edu) email, mail or phone: Soar Workshop 33 c/o John Laird 2260 Hayward Ann Arbor, MI 48109-2121 (734) 647-1761 **************************************************************** 8. 3rd Conference on Advances in Cognitive Systems, May 2015 http://www.cogsys.org/2015 We are currently in the process of organizing the 3rd Conference on Advances in Cognitive Systems (ACS). We wanted to give you a heads up that ACS will be moving to a spring conference. The next ACS will be held at Georgia Tech, Atlanta, Georgia USA on May 29-31, 2015. The paper submission deadline will be in February 2015. As you may have heard, AAAI has moved to a winter conference to avoid conflict with IJCAI (which has become an annual event). The ACS organizing committee felt it best to avoid a collision with AAAI's paper submission deadlines. We hope that the ACS move to spring will allow the diverse and dynamic cognitive systems community to grow. Please be on the look out for the call for papers in the coming months. Best, Ashok Goel and Mark Riedl Co-Chairs, 3rd Conference on Advances in Cognitive Systems [there is also a mailing list that they have added people to: advances-cognitive-systems(a)lists.gatech.edu] **************************************************************** 9. BICA 2014 call for papers, due 26 May 2014, but other dates http://bicasociety.org/meetings/2014/ 2014 Annual Intl Conf on Biologically Inspired Cognitive Architectures (BICA 2014) Fifth Annual Meeting of the BICA Society November 7-9 (Friday-Sunday): MIT, Cambridge, MA (http://bicasociety.org/meetings/2014) Sponsors: The BICA Society; MIT; Elsevier B.V. Points of contact: Paul Robertson (paulr(a)dollabs.com) and Alexei Samsonovich (alexei(a)bicasociety.org) Call for Papers Biologically Inspired Cognitive Architectures (BICA) are computational frameworks for building intelligent agents that are inspired from biological intelligence. Biological intelligent systems, notably animals such as humans, have many qualities that are often lacking in artificially designed systems including robustness, flexibility and adaptability to environments. At a point in time where visibility into naturally intelligent systems is exploding, thanks to modern brain imaging and recording techniques allowing us to map brain structures and functions, our ability to learn lessons from nature and to build biologically inspired intelligent systems has never been greater. At the same time, the growth in computer science and technology has unleashed enough computational power at sufficiently low prices, that an explosion of intelligent applications from driverless vehicles, to augmented reality, to ubiquitous robots, is now almost certain. The growth in these fields challenges the computational replication of all essential aspects of the human mind (the BICA Challenge), an endeavor which is interdisciplinary in nature and promises to yield bi-directional flow of understanding between all involved disciplines. Scope With the scope of BICA 2014 covering all areas of BICA-related research listed below, the major thrusts will be Perception, Attention, and Language. Here the key questions are: ? What can we learn from biological systems about how perception, attention, decision making, and action work together to produce intelligent behavior that is robust in natural environments? ? What have we learned about information flow in biological systems that can aid us in building better artificial systems that combine perception, action, language, learning, and decision making in robots and intelligent agents? ? What have we learned recently about information flow in the brain that can lead to better cognitive models that combine perception, attention, decision making, action, language, and learning? ? What role is played by emotions in perception, attention, decision making, language, and learning? ? How have we, or can we incorporate into cognitive architectures new evolving understandings about flow of information in biological cognitive systems? ? What mathematical foundations are emerging today that can support perception and learning? In addition to these focus topic areas of BICA 2014, we encourage submission of papers in all areas of BICA research, especially in the following areas. Neuroscience: .... Social, Economic and Educational Sciences: ... Cognitive Science: .... Artificial Intelligence: .... General: .... Format and Agenda The format of the conference is a 2.5-day meeting including paper presentations, panel discussions, invited talks, and demonstration showcases. Symposia and other mini-events (special sessions, breakout groups, brainstorms, think-tanks, socials, contests, and more) as part of the conference will be added as needed (proposals are solicited). In addition, BICA 2014 will host a special track "Doctorial Consortium" for which a "best student paper" award will be presented. We will also host technology demonstrations, for which we solicit proposals, and a poster session. We solicit additionally proposals for panel topics. The working language is English. As a part of our rich social and cultural program included in the registration, we are planning a Welcome Reception and a boat trip into the Atlantic on Saturday night, with a banquet on the boat. Detailed program is not available yet. Please see our separate pages for Confirmed symposia planned as part of BICA 2014 (we are asking for additional proposals). Submission and Publication Venues Publication venues include: (1) the Elsevier journal BICA - papers may be distributed among several journal issues; and (2) a volume of Procedia Computer Science, indexed by Web of Science and Scopus. One EasyChair submission site will be used for all categories of submissions, including (1), (2) and also (3): stand-alone abstracts that will be included in the conference program brochure, without being published. All submissions will undergo one round of peer-reviews. The category may be changed based on reviews. All conference materials (including papers and abstracts) will be together made available locally for conference participants (included in the registration package) via USB and/or the Internet. Invited speakers are not required, but are encouraged to submit papers or abstracts. Other participants can have presentations accepted based on an abstract only, without a paper submission. Core Organizing Committee Paul Robertson (DOLL, Inc.): General Chair Patrick H. Winston (CSAIL/MIT): Co-Chair Howard Shrobe (CSAIL/MIT): Co-Chair Alexei Samsonovich (GMU): Co-Chair, PC Chair Antonio Chella: OC Member Christian Lebiere: OC Member Kamilla R. Johannsdottir: OC Member Important Dates Proposals for Sub-Events: Symposia, Workshops and Socials - March 1 Doctoral Consortium Submit - May 05 Technology Demos - June 13 Panel Session Interest - June 27 Paper and Abstract Submission: Paper and abstract submission opens - March 1st Abstract and Paper Submission Due - May 26* Paper Review Feedback - June 14* Final Papers Due - August 01 Late-breaking stand-alone abstracts due - August 31 Registration and Conference: Early-bird registration (opens soon) due: June 17* Regular author-presenter registration due - June 27* Guest and non-presenting attendee online registration due - October 1 Sessions of the conference BICA 2014: November 7-9 *Deadlines extended as of April 28 **************************************************************** 10. Nengo Summer School, 8-21 June http://nengo.ca/summerschool [From Chris Eliasmith, the registration is long past, but it's worth noting that this is another cognitive architecture summer school, which might be repeated.] I thought you might have some acquaintances or students who would be interested to know that we're hosting a summer school this year. It will be on all things Nengo & SPA. We're encouraging people to bring projects and/or data they'd like to turn into a detailed model. We'll have a very good instructor/student ratio (1:2). It's more fully described here: http://nengo.ca/summerschool The application deadline was Feb 15. **************************************************************** 11. Summer School - Web Science & the Mind, 7-18 July, reg. still open http://www.summer14.isc.uqam.ca/ [This appears to be a standing event that might be useful to modellers] The Institut des Sciences Cognitives at UQAM (Montreal) is organising its fifth Summer School, this year on the topic of "Web Science and the Mind" * Topic includes social network analysis, semantic web, distributed cognition, ... * Scholarships (500$ + registration) * Call for posters * Can be worth 3 credits Please contact us with any questions or comments you may have: summer14.isc(a)uqam.ca Guillaume Chicoisne Institut des sciences cognitives, Montreal -------- The Fifth Summer School in Cognitive Sciences : Web Science and the Mind. Organized by the UQAM Cognitive Science Institute in Montreal (Canada), from July 7 to 18. Theme of the Summer Institute: Web Science and the Mind. This summer school will present a comprehensive overview of the interactions between the web and cognitive sciences, with topics ranging from social network analysis to distributed cognition and semantic web. The Summer School will feature a poster session. Information about this poster session is available at: http://www.summer14.isc.uqam.ca/page/affiche.php Deadline: April 11th 2014 Registration for the Summer School is open (''Early Bird'' Registration fees until May 9th). Note that the lowest fee is for students that will attend the Summer School as a credited activity (worth 3 university credits). Details: http://www.summer14.isc.uqam.ca/page/inscription.php Scholarships for travel, accomodation and/or registration will be available for students registered in a Quebec University (CREPUQ). http://www.summer14.isc.uqam.ca/page/bourses.php Want to stay in touch? Follow us on Twitter! @iscUQAM We hope to see you there in July. **************************************************************** 12. CFP for 2015 iConference in Newport Beach, CA, 24-27 March 2015 http://ischools.org/the-iconference/ papers due 5 sept 2014 [This is a potential outlet, particularly for models applied to information systems] [from CHI-announcements] Call for Participation, iConference 2015 http://ischools.org/the-iconference/ The iConference is an international gathering of scholars and researchers concerned with critical information issues in contemporary society. iConference 2015 (http://ischools.org/the-iconference/) takes place March 24-27 in Newport Beach, California. The following submissions are invited: *Submission Type* *Deadline* *Notification* Papers (http://ischools.org/the-iconference/program/papers/) Friday, September 5, 2014, midnight PDT mid-November Posters (http://ischools.org/the-iconference/program/posters/) Friday, October 10, 2014, midnight PDT mid-November Workshops (http://ischools.org/the-iconference/program/workshops/) Friday, September 26, 2014, midnight PDT Monday, October 27, 2014 Interactive Sessions (http://ischools.org/the-iconference/program/sessions-for-interaction-and-en…) Friday, October 10, 2014, midnight PDT mid-November Doctoral Colloquium: http://ischools.org/the-iconference/program/doctoral-colloquium/ Friday, September 12, 2014, midnight PDT Friday, October 24, 2014 Social Media Expo (http://ischools.org/the-iconference/program/social-media-expo/) Participation commitment letter due October 14, 2014; submissions due December 15, 2014. Thursday, January 15, 2015 Dissertation Award: http://ischools.org/the-iconference/program/dissertation-award/ Wednesday, October 15, 2014, midnight PDT Thursday, January 15, 2015 iConference 2015 is presented by the iSchools organization (http://ischools.org) and hosted by The Donald Bren School of Information and Computer Sciences at University of California, Irvine. All information researchers and scholars are welcome. Sample topics of past iConferences include the following: ? social computing ? human-computer interaction ? digital youth ? information retrieval ? network science ? digital humanities ? data science ? information economics ? information systems ? information policy ? knowledge infrastructures ? computational social science ? information work and workers ? user experience and design ? data, text and knowledge mining ? digital curation and preservation ? computer-supported cooperative work ? bibliometrics and scholarly communication ? social, cultural, health and community informatics ? information and communication technology for development -- Gary M. Olson (949) 824-0077 Department of Informatics gary.olson(a)uci.edu Bren School of Information and Computer Sciences University of California, Irvine Irvine, CA 92697-3440 **************************************************************** 13. Intl. Summer School in Cog. Sci., 30 Jun-11 July, Bulgaria http://nbu.bg/cogs/events/ss2014.html The 21st edition of the well-known International Summer School in Cognitive Science will take place during the two weeks from June 30th until July 11th at the New Bulgarian University, Sofia, Bulgaria. The summer school features advanced courses for graduate students and young researchers in a variety of areas, including embodied cognition and dynamic field theory, behavioral experimentation from reaction times to model testing, computational approaches to development, the cognitive science of social dilemmas, the epistemology of cognitive science and neuroscience, and a practical course on working with E-prime as a software tool for experiment design and implementation. The summer school will also feature a participant symposium (submit your brief papers to the school email below by June 9). Registration is now open. For more information, visit the school's website: http://nbu.bg/cogs/events/ss2014.html You can contact us at the following email address: school(a)cogs.nbu.bg **************************************************************** 14. 14th Neural Computation and Psychology Workshop, 21-23 Aug http://www.psych.lancs.ac.uk/ncpw14 NCPW14 Call for Papers - 14th Neural Computation and Psychology Workshop We cordially invite you to participate in the 14th Neural Computation and Psychology Workshop (NCPW14) to be held at Lancaster University, UK, from August 21-23, 2014: http://www.psych.lancs.ac.uk/ncpw14 This well-established and lively workshop aims at bringing together researchers from different disciplines such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on models of cognitive processes. Often this workshop has had a theme, and this time it is 'Development across the lifespan', but also submissions that do not fall under this theme are welcome. Papers must be about emergent models - frequently, but not necessarily - of the connectionist/neural network kind, applied to cognition. The NCPW workshops have always been characterized by their limited size, high quality papers, the absence of parallel talk sessions, and a schedule that is explicitly designed to encourage interaction among the researchers present in an informal setting. NCPW14 is no exception. The scientific program will consist of keynote lectures, oral sessions and poster sessions. Furthermore, this workshop will feature a unique set of invited speakers: James McClelland, Stanford University. Bob McMurray, University of Iowa. Michael Thomas, Birkbeck College, London. Rumelhart Memorial Travel Awards The Rumelhart Memorial Travel awards, generously funded by Professor Jay McClelland, will provide funding to support travel costs for students/post docs presenting at the conference. Awards of US$250 are available to students or post docs from Western European countries, and US$750 for students or post docs from elsewhere. Decisions will be based on the quality of the submission. Eligibility criteria The first author of the submission is a PhD student or Post-doctoral fellow who will attend the meeting and will present the submission if chosen to receive a travel award. Location Lancaster is situated in the north west of England, approximately one hour from Manchester and Liverpool airports. Lancaster is surrounded by spectacular scenery, hiking and climbing country. The Yorkshire Dales national park is 10 miles away. The Lake District national park is 20 miles away, http://www.nationalparks.gov.uk. The stagecoach 555 bus (http://www.stagecoachbus.com) takes you directly from Lancaster through the heart of the Lakes. The Trough of Bowland Area of Outstanding Natural Beauty is 2 miles away. Important dates to remember Abstract deadline: 15 May Notification of abstract acceptance: 7 June Early registration deadline: tbc Online registration deadline: tbc Conference dates: 21-23 August, 2014 Looking forward to your participation! Organizing Committee Gert Westermann, Lancaster University Padraic Monaghan, Lancaster University Katherine E. Twomey, Liverpool University Alastair C. Smith, MPI Nijmegen -------------------------------------------------------------------------- Prof. Gert Westermann +44 (0)1524 592-942 Department of Psychology g.westermann(a)lancaster.ac.uk Lancaster University http://www.psych.lancs.ac.uk/people/gert-westermann Lancaster LA1 4YF **************************************************************** 15. AI for Human-Robot Interaction (AI-HRI), papers due 13 June 14 http://ai-hri.github.io/ AAAI Fall Symposium: AI for Human-Robot Interaction (AI-HRI) Nov 13-15, 2014 -- Arlington, VA http://ai-hri.github.io/ 2 page abstracts due June 13 Email as a pdf to: ai-hri-symposium-submissions(a)googlegroups.com This symposium will bring together and strengthen the community of researchers working on the AI challenges inherent to Human-Robot Interaction (HRI). Humans and human environments bring with them inherent uncertainty in dynamics, structure, and interaction. HRI aims to develop robots that are intelligent, autonomous, and capable of interacting with, modeling, and learning from humans. These goals are at the core of AI. The field of HRI is a broad community encompassing robotics, AI, HCI, psychology and social science. In this meeting we aim to specifically bring together the subset of this community that are focused on the AI problems of HRI. Currently this type of HRI work is seen across such a variety of venues (HRI, RSS, ICRA, IROS, Ro-Man, RoboCup, and more), that we lack a cohesive core community. Building this community is the central purpose of this symposium. Planned activities: - Keynote talks "How is HRI an AI problem?": We will have keynotes giving eight different perspectives about how AI research is going to bring us closer to the reality of humans interacting with robots on everyday tasks. - Breakout groups + panel discussions: these discussions will be focused on (1) defining a road map of grand challenges for this research area, and (2) what is the core venue for this community. - Poster session: This session will highlight state-of-the-art work and approaches to AI-HRI. - Team building: Given the diverse set of venues that this type of research is presented, it is very rare that members of the AI-HRI community get together in the same room. As such, a large part of this effort is to bring together a community of researchers, strengthen old connections and build new ones. Ample time will be provided for networking and informal discussions. Confirmed speakers: - Rodney Brooks - Cynthia Breazeal - Henrik Christensen - Maja Mataric - Manuela Veloso Important dates: - To have your work featured in the poster session, submit a two-page abstract by 13 June 14. Email your submission as a pdf to ai-hri-symposium-submissions(a)googlegroups.com - Decisions will be returned by July 11, 2014 - The symposium will be held Nov 13-15, 2014 in Arlington, VA. Organizing committee: - Andrea L. Thomaz, Georgia Institute of Technology (chair) - Kris Hauser, Indiana University - Chad Jenkins, Brown University - Maja J. Mataric, University of Southern California - Manuela Veloso, Carnegie Mellon University -- You received this message because you are subscribed to the Google Groups "HRI-announcement" group. To unsubscribe from this group and stop receiving emails from it, send an email to hri-announcement+unsubscribe(a)cs.byu.edu. For more options, visit https://groups.google.com/a/cs.byu.edu/d/optout. **************************************************************** 16. OpenWorm Kickstarter Campaign http://www.openworm.org [from Comp-neuro(a)neuroinf.org] [this is cool and interesting on several levels and ways] From: Shreejoy Tripathy <stripathy(a)chibi.ubc.ca> Date: Mon, 12 May 2014 11:31:07 -0700 To: comp-neuro(a)neuroinf.org, connectionists(a)mailman.srv.cs.cmu.edu Subject: [Comp-neuro] OpenWorm Kickstarter Campaign I'm writing to let you know about the OpenWorm Kickstarter Campaign (https://www.kickstarter.com/projects/openworm/openworm-a-digital-organism-i…) As you may know, the goal of the OpenWorm project is to digitally simulate a C. Elegans organism. By design, the project is organized in a geographically distributed fashion and all of the work is being done in the open (on GitHub and Youtube) using entirely open source code and public data. Though I'm not a worm researcher, I'm supporting OpenWorm's Kickstarter because I strongly believe in their overall mission. As a computational neuroscientist, I see the project as a necessary first step in the simulation of more complex organisms, including mice and ultimately humans. Moreover, I see my Kickstarter contribution as a future investment in the open source tools and methodologies that OpenWorm develops that I hope to eventually use in my own research. More philosophically, I think that lately the field of neuroscience has suffered from some amount of "overhype", especially given the initially promised outcomes of recent large-scale brain initiatives (e.g., recording from all neurons in a mammalian brain, simulating an entire human brain). While these projects have been hugely successful in catalyzing widespread public support of basic neuroscience research, many neuroscientists see these promises as perhaps a bridge too far given the current research state. Though OpenWorm's goals are itself highly ambitious, the relative simplicity of the worm (named neurons, stereotyped connectomes and musculature, the ability to image neuronal activity in vivo) lends itself well to this attempt. By conducting the project in the open and basing success on quantifiable goals (i.e., how similar are the simulated worm's movements and neural activity to experimental measurements), the project will serve as a roadmap for future endeavours in multi-scale data integration and organismal simulation. Lastly, the geographically distributed and highly interdisciplinary nature of the project makes it challenging to receive funding through traditional NIH-style mechanisms. For this reason, I'm asking you to join me in supporting the project's Kickstarter campaign. More information: OpenWorm Website: http://www.openworm.org Kickstarter campaign link: https://www.kickstarter.com/projects/openworm/openworm-a-digital-organism-i… Project overview by OpenWorm member and neuroscientist Jim Hokanson: http://jimandscience.blogspot.ca/2014/05/modeling-worm-thoughts-on-openworm… OpenWorm QandA on Reddit: http://www.reddit.com/r/science/comments/246dlw/science_ama_series_im_steph… Sincerely, Shreejoy Tripathy Post-doc and Developer of http://neuroelectro.org University of British Columbia Centre for High-Throughput Biology **************************************************************** 17. Numerous books to review If you would like to review a book, there are several books recently published that their publishers would give you a copy to facilitate a review in a magazine or journal. If you are interested, email me and I'll foward you to the publisher. Foundations for Designing User-Centered Systems: What system designers need to know about people, Frank Ritter, Gordon Baxter, & Elizabeth Churchill. (2014). Springer. http://www.frankritter.com/fducs/ Game Analytics: Maximizing the Value of Player Data [Hardcover] Magy Seif El-Nasr, Anders Drachen, Alessandro Canossa (Eds) http://www.amazon.com/Game-Analytics-Maximizing-Value-Player/dp/1447147685 http://www.springer.com/computer/hci/book/978-1-4471-4768-8 How to build a brain, A Neural Architecture for Biological Cognition Chris Eliasmith, OUP. http://nengo.ca/build-a-brain Minding Norms: Mechanisms and dynamics of social order in agent societies Rosaria Conte, Giulia Andrighetto, and Marco Campenni (eds) http://global.oup.com/academic/product/minding-norms-9780199812677? Social Emotions in Nature and Artifact Jonathan Gratch and Stacy Marsella (eds). http://global.oup.com/academic/product/social-emotions-in-nature-and-artifa… Running Behavioral studies with human participants Ritter, Kim, Morgan, & Carlson, Sage http://www.sagepub.com/textbooks/Book237263 **************************************************************** 18. Premodeling / HCI book FDUCs: What designers need to know about people http://www.frankritter.com/fducs/ We have published book that is in many ways an HCI book, its first use is as a Human-computer interaction textbook (it has been used in at least 4 universities), but it is also a modeling book -- It is designed to create models of users in designers heads. Foundations for Designing User-Centered Systems: What system designers need to know about people, Frank Ritter, Gordon Baxter, & Elizabeth Churchill. (2014). Springer. If your library subscribes to Springer link, you can get a pdf from there. If you want a desk copy, there are links from the site above to order one. If all else fails, contact me. I use it to teach HCI, as have several at other universities and several penn state campuses. **************************************************************** 19. New Society: The Society for Affective Science and Conference http://www.society-for-affective-science.org/conference A new society has been formed -- The Society for Affective Science. Its mission is to foster basic and applied research in the variety of fields that study affect, broadly defined. Our inaugural conference will be April 24-26, 2014 in Washington DC. This conference will be student-friendly, open, and theoretically and methodologically diverse. It will provide a forum for cross-cutting work in emotion, stress, and many other topics that fall under the broad umbrella of affective science. For more information see the society website: http://www.society-for-affective-science.org/ Program highlights for the first meeting can be found at: http://www.society-for-affective-science.org/conference/highlights/ As you will see, the first meeting features an invited program of talks in addition to a call for posters. We expect the program to shift to submissions as the society develops. Currently, the meeting is largely single tracked, and in addition to the invited addresses and presidential symposium, the program includes methodology lunches, salons with well-known affective scientists, and a debate to keep things lively. Please feel free to send this email to your students, postdocs, and colleagues. If you have questions, please email us at: info(a)society-for-affective-science.org **************************************************************** 20. $10k prize for best paper in Human Factors journal, due 2 June 14 http://www.hfes.org/web/pubpages/hfprize.html [this appears to becoming an annual prize, modeling papers get published in HF and there are modellers as editors and reviewers] Submit your research for the 2014 Human Factors Prize--You could win $10,000! The Human Factors and Ergonomics Society (HFES) welcomes your submission for the 2014 Human Factors Prize: Recognizing Excellence in Human Factors/Ergonomics Research. The best paper will receive: $10,000 cash award Publication in the Society's flagship journal, (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) Human Factors The 2014 topic is human-automation interaction/autonomy. We seek articles that describe human factors/ergonomics (HF/E) research that pertains to effective and satisfying interaction between humans and automation. Plan to submit your work between April 1 and June 2, 2014. Eligibility Requirements: Any researcher is eligible to submit relevant work; membership in HFES is not required. Submissions must cover original (unpublished) research in the topical area and comply with the requirements in the Human Factors (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) instructions for authors. Review articles and brief reports are not eligible. Submissions must not be received prior to April 1 or after June 2, 2014. To see examples of articles on subject matter similar to the 2014 Prize topic, visit the Human Factors Prize Web page (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) The award will be formally conferred at a special session at the HFES International Annual Meeting, where the recipient will present his or her work (http://content.news.sagepub.com/emessageIRS/servlet/IRSL?v=5&a=10050&r=2223…) Human Factors: The Journal of the Human Factors and Ergonomics Society (HFS) is a peer-reviewed journal presenting original works of scientific merit that contribute to the understanding and advancement of the systematic consideration of people in relation to machines, systems, tools, and environments. HFS highlights fundamental human capabilities, limitations, and tendencies, as well as the basics of human performance. Human Factors Impact Factor: 1.182 Ranked: 7/16 in Ergonomics | 21/44 in Engineering, Industrial | 39/72 in Psychology, Applied | 44/49 in Behavioral Sciences | 51/75 in Psychology Source: 2012 Journal Citation Reports(R) (Thomson Reuters, 2013) Questions? Contact HFES Communications Director Lois Smith at lois(a)hfes.org. We look forward to receiving your submission. **************************************************************** 21. Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling http://www.la.psu.edu/facultysearch/ [this was announced in February, but is still up on the web site] Post doctoral Scholar in Systems Neuroscience and Connectivity Modeling Job Number: 41202 Affirmative Action Search No. #: 021-320 Department: Psychology Rank: Post Doc Announcement: We are seeking a highly motivated Postdoctoral Scholar in the area of clinical/cognitive neuroscience, brain imaging, and network modeling. The successful candidate will work in collaboration with investigators at The Pennsylvania State University including Dr. Hillary in Psychology, Dr. Reka Albert in Physics and Dr. Peter Molenaar in Human Development and Family Studies. The goals of the research focus on time series analysis, graph theory, and connectivity modeling of human brain imaging data (high density EEG, BOLD fMRI). The primary responsibility of this position is to facilitate ongoing research examining neural plasticity after severe traumatic brain injury in humans. There is also keen interest for this position to support the development of novel methods for understanding plasticity from a systems neuroscience perspective. This includes prospective data collection as well as analysis of existing data sets. Current lab goals aim to focus on issues regarding: 1) signal processing (i.e., non-stationarity in time series data; cross-frequency coupling), 2) large scale connectivity analysis (e.g., graph theory), 3) machine learning, and 4) novel methods isolating regions of interest. A Doctorate (M.D. and/or Ph.D.) degree is required by the appointment date. Excellent verbal and written communication skills and a background in computational modeling (broadly defined) is required and programming experience is preferred. Review of applications will begin in February and continue until the position is filled. The appointment is for two years with a tentative start date flexible. To apply, submit cover letter, curriculum vita, and the names and contact information for three references through http://www.la.psu.edu/facultysearch/ For additional information, contact Frank G. Hillary, fhillary(a)psu.edu. Employment will require successful completion of background check(s) in accordance with University policies. Penn State is committed to affirmative action, equal opportunity and the diversity of its workforce. **************************************************************** -30-

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Deep Learning Overview - Draft
by Juergen Schmidhuber May 29, 2014

May 29, 2014

Dear computational neuroscientists, here the preliminary draft of an invited Deep Learning overview: http://www.idsia.ch/~juergen/DeepLearning15May2014.pdf It mostly consists of references (about 800 entries so far). Important citations are still missing though. As a machine learning researcher, I am obsessed with credit assignment. In case you know of references to add or correct, please send them with brief explanations to juergen(a)idsia.ch (NOT TO THE ENTIRE LIST!), preferably together with URL links to PDFs for verification. Please also do not hesitate to send me additional corrections / improvements / suggestions / Deep Learning success stories with feedforward and recurrent neural networks. I'll post a revised version later. Thanks a lot! Abstract. In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium. Shallow and deep learners are distinguished by the depth of their credit assignment paths, which are chains of possibly learnable, causal links between actions and effects. I review deep supervised learning (also recapitulating the history of backpropagation), unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks. Juergen Schmidhuber http://www.idsia.ch/~juergen/ http://www.idsia.ch/~juergen/whatsnew.html

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Postdoc in Neuromechanics and Optogenetics at Temple University
by Andrew Spence May 28, 2014

May 28, 2014

Dear colleagues, We have the following postdoc position available within the Spence Lab, Department of Bioengineering, at Temple University in Philadelphia, USA. See www.spencelab.com for information about the group. Cheers! Andrew Spence Have you ever wondered how legged animals manage to move with dexterity, economy, and robustness over challenging terrain? Or how information from sense organs in different parts of your body is used when you move quickly? Have you heard about some of the new neurogenetic technologies, like optogenetics, that are making it possible for us to switch on and off specific parts of the nervous system with light? Members of the Spence Lab are working to answer these questions, using cutting edge techniques including optogenetics, computer vision, and robotics. We aim to explore and examine, as much as possible, freely behaving animals, with an increasing focus on mice. The Spence Lab invites applications from prospective postdocs from a wide range of backgrounds, including neuroscience, biomechanics, physics, physiology, engineering, computer science, and robotics. This postdoc is a three-year Army Research Office funded position that will use optogenetic tools in mice to understand how the structure of the quadrupedal gait controller, and sensory feedback from the limbs, facilitate dynamic locomotion. The Department of Bioengineering at Temple University is a brand new department with newly renovated facilities, and the Spence Lab is investing in state of the art equipment. Temple University lies in Philadelphia, a city known for it's restaurants and vibrant culture, housing a large number of universities, and with excellent links to New York City (two hours away) and Washington DC (2.5 hours away). For further information on the group and it's current activities, please visit www.spencelab.com If you are interested and qualified, please send a cover letter, CV, transcripts and relevant publications to aspence(a)temple.edu. The position is available until filled. Dr. Andrew Spence Associate Professor Department of Bioengineering Engineering Building Room 814 College of Engineering Temple University 1947 N. 12th St. Philadelphia, PA 19122 Phone: 215-204-3056 Email: aspence(a)temple.edu www.spencelab.com <http://www.spencelab.com/>

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Bernstein Workshop "Characterizing Natural Scenes": Second Call for Abstracts/Contributed Talks
by Arno Onken May 28, 2014

May 28, 2014

Second Call for Abstracts/Contributed Talks You are invited to participate in the pre-conference Bernstein workshop "Characterizing Natural Scenes: Retinal Coding and Statistical Theory", taking place in Göttingen, Germany, on September 2-3, 2014. Please find the preliminary schedule at workshop URL: https://sites.google.com/site/jiankliu/Meetings/2014bccn_workshop The workshop chairs will select a couple of abstracts for short oral presentation at the workshop. All the abstracts will be presented as posters during the Bernstein conference on September 3-4. However, the workshop could hold a separate poster session based on the number and quality of abstracts that we receive. To participate in the workshop please submit the abstract (an extended version is preferred) as a PDF attachment via email to Jian Liu (jian.liu(a)med.uni-goettingen.de) or Arno Onken (arno.onken(a)iit.it) The deadline for submission is August 1. Please note that abstract submission for the main conference is already closed while abstract submission for this workshop is still open. REGISTRATION: Please refer to the Bernstein Conference 2014 for registration and venue information. http://www.bernstein-conference.de/ WORKSHOP DESCRIPTION: How does the retina process natural visual inputs? What role do the many types of retinal ganglion cells (RGCs) play in this? Experiments with specific artificial stimuli have suggested that individual types of RGCs may have specific functional roles in visual processing, yet it is not clear how these simplified functional investigations relate to the processing of natural images and movies. An important ingredient for future analysis will be a better understanding of the complex statistical properties of natural scenes, as revealed by theoreticians. The relationship between natural visual statistics and retinal coding provides a promising direction for improving our understanding of the visual system. But we still lack a systematic framework for understanding the underlying mechanisms of how relevant features of natural scenes are encoded by the retina. In this workshop, we expect mutual benefits for both natural scene statistics and retinal coding. We will bring together experimentalists and theoreticians in order to highlight recent progress, encourage exchange of insights, and stimulate new ideas for future work with the following core questions: 1) How can we develop useful descriptions of the statistics of natural scenes that are relevant for retinal coding? 2) How can we characterize the functional roles of different RGC types in processing natural scenes? 3) Which coding strategies are present at the level of RGC populations? 4) How can we unify the acquired knowledge of natural scenes and neural data to develop better tools for analysis? CONFIRMED SPEAKERS: * Vijay Balasubramanian (University of Pennsylvania) * Philipp Berens (BCCN, Tübingen) * Thomas Euler (University of Tübingen) * Felix Franke (ETH Zurich) * Olivier Marre (Vision Institute, Paris) * Aman Saleem (University College London) * Maneesh Sahani (University College London) * Rava A. da Silveira (ENS, Paris) We are looking forward to seeing you in Göttingen. Workshop organizers: Jian Liu (University Medical Center Göttingen and BCCN Göttingen) Arno Onken (Center for Neuroscience and Cognitive Systems

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Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations
by Kerstin Schwarzwälder May 28, 2014

May 28, 2014

Dear Colleagues, The Bernstein Association for Computational Neuroscience <http://www.nncn.de/en/bernstein-association> invites nominations for the *V**alentino Braitenberg Award for Computational Neuroscience.* The award is biannually presented by the Bernstein Association to a scientist in recognition of outstanding research that contributes to our understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives a €5.000 prize donated by the Autonome Provinz Bozen Südtirol as well as complimentary participation (registration, travel, and hotel accomodation) in the Bernstein Conference 2014. Here, the prize is awarded together with a Golden Neuron pin badge in a special ceremony that includes the Valentino Braitenberg lecture given by the awardee. Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include toe following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award's criteria - CV and list of publications *Deadline for nominations is **June 16, 2014 *by e-mail to info(a)bcos.uni-freiburg.de The call for nominations can be found under the followingn URL: www.nncn.de/en/bernstein-association/valentino-braitenberg-award-for-comput… For inquiries please contact info(a)bcos.uni-freiburg.de Best regards, Andrea Huber Brösamle -- Dr. Andrea Huber Brösamle Head of the Bernstein Coordination Site (BCOS) Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg, Germany phone: +49 761 203 9583 fax: +49 761 203 9585 andrea.huber(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany

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Special Issue on "Underwater Sensor Networks" in (JSAN)
by Sandra Sendra May 28, 2014

May 28, 2014

=================================================== Journal of Sensor and Actuator Networks (JSAN) Special Issue "Underwater Sensor Networks" http://www.mdpi.com/journal/jsan/special_issues/usn Deadline for manuscript submissions: 30 September 2014 ---------------------------------------------------- === SPECIAL ISSUE === New advances in information technologies, circuits, systems and communication protocols have made possible the deployment of underwater sensor networks. These issues have lead researchers to propose new underwater sensor nodes, sensor node placement, protocols for their communication, architectures, and study new ways to communicate with higher bandwidth at higher distances. Moreover, the range of underwater applications is growing fast because of the last research in oceanography, marine science and aquiculture, so there is a need of underwater sensor networks in order to support these disciplines. This special Issue is tries to collect unpublished works on theory and practice on underwater sensor networks, with special interest on real implementations and deployments. We also seek new proposals on wireless communication technologies. === KEYWORDS === The Special Issue "Underwater Sensor Networks" topics include (but are not limited to) the following: - Underwater sensor nodes - Underwater sensor node placement - Routing protocols for underwater sensor networks - Underwater communications - Underwater architectures - Underwater wireless communications - Underwater sensor network deployments === SUBMISSION === Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form (http://www.mdpi.com/user/manuscripts/upload/?journal=jsan) Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed Open Access quarterly journal published by MDPI. Please visit the Instructions for Authors page (http://www.mdpi.com/journal/jsan/instructions) before submitting a manuscript. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections. === SPECIAL ISSUE EDITORS === Guest Editors Prof. Dr. Jaime Lloret Mauri (jlloret(a)dcom.upv.es) Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain Dr. Sandra Sendra (sansenco(a)posgrado.upv.es) Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Camino de Vera 46022, Valencia, Spain ===================================================

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