Monday, September 24, 2012

[Comp-neuro] CFP 1st NIAC workshop (Neuro-Inspired Accelerators for Computing)

Apologies if you receive this message multiple times.

 

1st International Workshop on NEURO-INSPIRED ACCELERATORS for COMPUTING (NIAC)

 

http://arch2neu.saclay.inria.fr/NIAC/

 

held in conjunction with HiPEAC '13 conference  (http://www.hipeac.net/conference)

21-23 January 2013, Berlin, Germany 

 

PRESENTATION

 

Due to increasingly stringent energy constraints, multi-cores are shifting towards heterogeneous multi-cores, combinations of cores and accelerators. As a result, one of the key micro-architecture issues is to determine what these accelerators should be.

Two major trends point to hardware neural networks as accelerators with great potential: increasing process variability resulting in multiple defects, and the increasing importance of high-performance applications tolerating approximate results (e.g., recognition and mining applications). Both trends match well the intrinsic robustness capabilities of neural networks. The purpose of this workshop is to stimulate the development and adoption of hardware neural network accelerators in the architecture community.

 

TOPICS

 

- Neuro-inspired architecture design

- Applications of neuro-inspired architectures

- Alternative technologies and devices (analog, 3D, memristors, …) for neuro-inspired architectures

- Programming and compilation techniques for neuro-inspired architectures

 

IMPORTANT DATES

 

Paper Submission: November 1st, 2012

Author Notification: November 23, 2012

Camera-Ready Paper: December 7, 2012

 

SUBMISSION

 

Short to long contributions are welcome, varying from 4 to 10 pages.

The articles will be made available online, but no proceedings will be published, so that submission to the workshop is compatible with later submission to conferences and journals.

 

ORGANIZERS

 

Rodolphe Heliot, CEA-LETI, Grenoble, France (rodolphe.heliot@cea.fr)

Olivier Temam, INRIA Saclay Ile-de-France, saclay, France (olivier.temam@inria.fr)

 

 

[Comp-neuro] Open Position: Research Fellow in Biomedical Engineering (Neuronal Network Modeling and Measurement Signal Analysis)

About the Employer

Tampere University of Technology (TUT) in Finland is an active scientific community of 2,000 employees and more than 10,000 students. The University operates in the form of a foundation and has a long-standing tradition of collaboration with other research institutions and business life. Many of the fields of research and study represented at the University play a key role in addressing global challenges. Internationality is an inherent part of all the University’s activities. Welcome to join us at TUT!

The Department of Biomedical Engineering (BME) is a multidisciplinary unit employing novel applications of materials science, electrical engineering and information technology for the benefit of healthcare. Our aim is to develop advanced treatments and diagnostics for the needs of different types of healthcare providers. The department employs seven professors and a staff of roughly 60 people.

BME coordinates a European Union 7th Framework Programme project “Biomimicking the Brain – towards 3D Neuronal Network Dynamics (3DNeuroN)”. In the project, 3D neuronal cell networks and a corresponding electrophysiological measurement and stimulation system will be created. The project is an international collaborative effort with Institute of Biomedical Technology (IBT), University of Tampere, and groups from Swiss Federal Institute of Technology Zurich, Switzerland, Fraunhofer-Gesellschaft, Germany, and Ilmenau University of Technology, Germany.

BME and IBT are part of BioMediTech, Tampere, Finland. BioMediTech, a joint institute of TUT and UTA, brings together a powerful mix of multidisciplinary expertise in life sciences and medical technology. Over 250 scientists conduct research and education in the fields of cell and molecular biology, genetics, biomaterials, biosensors, computational systems, biotechnology, biomedical engineering, and regenerative medicine.

This environment provides huge opportunities for an active multidisciplinary researcher.

Job description

The selected person will conduct research on modeling the functionality of neuronal cells and networks, and analysis of electrophysiological measurement data. The work may also include planning and conducting associated electrophysiological measurements and other 3DNeuroN tasks of BME. The aim of the work is to yield new knowledge on neuronal network formation and functioning. Thus, the work also contributes towards stem cell based cures for central nervous system disorders and other stem cell based applications. High quality publishing is of foremost priority in this job and project, without forgetting commercial potential.

Part of the post is allocated to teaching and thesis work instruction. Topics will be determined according to the selected person.

Requirements

BME is looking for superior candidates with experience and dedication to pursue leading-edge research in modeling neuronal cells and networks mainly as information processing systems, and in analysis of electrophysiological data. Experience of electrophysiological measurements and Matlab is highly desirable. Experience in image processing is an advantage. Willingness to work full time and in person at BME is also desirable.

The successful candidate for the position of research fellow (tutkijatohtori) shall be expected to possess an applicable Doctoral degree and the competence to conduct independent scientific work as well as teaching skills required for the position. When a candidate’s qualifications for the position are evaluated, previous experience in studying or working abroad and connections to international research shall be appreciated.

The applicant shall be expected to excel in English and be able to demonstrate a successful publication record.

We offer

BME and BioMediTech, along with our collaborators, offer a unique, multidisciplinary and enthusiastic research environment, in which engineering sciences and cell biological knowledge and know-how unite. BME has a fully equipped state of the art electrophysiology laboratory jointly with IBT. The laboratory facilitates concurrent microelectrode array and patch clamp measurements and phase contrast or fluorescent microscopy, e.g., calcium imaging, of human embryonic stem cell derived neuronal cells and networks. The electrophysiology laboratory is in the immediate vicinity of BME. Should the work call for supercomputing, appropriate resources of Tampere Center for Scientific Computing, and CSC — IT Center for Science Ltd, which provides the most powerful supercomputing environment in Finland, can be utilized. These combined with the leading-edge expertise of the 3DNeuroN partners provide opportunities for personal development and scientific breakthroughs.

Salary

The salary will be based on both the job demands and the employee’s personal performance in accordance with the University Salary System. According to the criteria applied to teaching and research staff, the position of a Research Fellow is placed on the job demand levels 5-6. In addition, employees receive performance based salary. The starting salary will be determined based on the qualifications of the selected candidate as well as the level of duties agreed upon in final negotiations. The level of the starting salary is expected to be approximately from 3235 euros per month to 3573 euros per month. During the entire project the salary may range up to 4100 euros per month depending on performance. Annual performance evaluations will be conducted according to the TUT evaluation procedures for all research staff.

Trial period

Trial period of four (4) months applies.

Other

The position will be filled for a fixed term period from 15 October 2012 to 31 October 2013, with a potential extension until 31 December 2014. Towards the end of the project, the Research Fellow is expected to actively participate in attracting funding to continue the work.

TUT reserves the right, for a justified reason, to leave the position open, or to extend the application period.

Application deadline: October 7, 2012

For more information, please contact

Project Coordinator Professor Jari Hyttinen
tel. +358 40 8490 020
e-mail jari.hyttinen@tut.fi

Project Manager Dr. Jarno M. A. Tanskanen
tel. +358 40 849 0974
e-mail jarno.m.tanskanen@tut.fi

See also http://www.3dneuron.eu/, http://www.tut.fi/bme/ and http://www.biomeditech.fi/.

Please, go to http://www.tut.fi/openpositions for the official announcement, how to apply, and the online application form.


--   Dr. Jarno M. A. Tanskanen  Department of Biomedical Engineering, Tampere University of Technology  and  BioMediTech  Finn-Medi 1 L 4, Biokatu 6, FI-33520 Tampere, Finland  Tel. +358 (0)40 849 0974  E-mail: jarno.m.tanskanen@tut.fi, tanskanen@ieee.org  URL: http://www.tut.fi/~tanska23/

Sunday, September 23, 2012

[Comp-neuro] Last Mile submission, October 1st || DBKDA 2013 || January 27 - February 1, 2013 - Seville, Spain

INVITATION:

=================

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to DBKDA 2013.

The submission deadline has been extended to October 1st, 2012.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org

=================


============== DBKDA 2013 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

DBKDA 2013, The Fifth International Conference on Advances in Databases, Knowledge, and Data Applications

January 27 - February 1, 2013 - Seville, Spain


General page: http://www.iaria.org/conferences2013/DBKDA13.html

Call for Papers: http://www.iaria.org/conferences2013/CfPDBKDA13.html

- regular papers

- short papers (work in progress)

- posters

Submission page: http://www.iaria.org/conferences2013/SubmitDBKDA13.html


Submission deadline: October 1st, 2012

Sponsored by IARIA, www.iaria.org


Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org


Please note the Poster and Work in Progress options.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.

Before submission, please check and comply with the Editorial rules: http://www.iaria.org/editorialrules.html


DBKDA 2013 Topics (topics and submission details: see CfP on the site)


Advances in fundamentals on databases

Foundations and architectures; Design features (data quality, performance, robustness, scalability, security, privacy, parallel and distributed approaches, mobility, etc.); Data quality, data structures, and data modeling; Advanced indexing methods; Advanced ranking algorithms and uncertainty; Physical organization and performance; Federated choreographies; Temporal conformance; Evolutionary clustering and dynamic hierarchical clustering

Databases and other domains

Leading-edge database technology and applications; Heterogeneous databases interoperability and mediation; Databases and Web services; Databases and artificial intelligence; Databases and agents; Advances in database management systems; Advanced transaction and workflow management; Advances on XML and databases

Databases technologies

Self-managing databases; Mobile databases; Database access; Embedded databases; Very large scale databases; Spatial and spatio-temporal databases; Data warehousing; Multimedia databases; Semantic databases; Data integration resources on the Internet; Object-oriented databases; Web-based databases; Deductive and active databases

Databases content processing

Mining for complex data; Mining for text, video, and pictures; Knowledge discovery and classification; Process mining; Scalable data extraction; Query processing and optimization; Query rewrite rules; Navigational path expressions; Load-balancing in accessing distributed databases; Incompleteness, inconsistency, uncertainty; Storage and replication; Patterns and similarities in data streams; Fast matching; Multiple views

Knowledge and decision bases

Knowledge representation and management; Knowledge discovery (business intelligence); Semantic information; Ontology and advanced knowledge search; Heuristics and meta-heuristics; Intelligent knowledge querying; Feature sampling and feature selection; Context-aware knowledge base; Blogs and social relationship search; Deductive reasoning; Reasoning databases; Ontology-based reasoning

Specifics on application domains databases

Database applications in Life Sciences; Advanced database applications; Bioinformatics databases; Healthcare databases; Finance and marketing databases; Telecom databases; Geospatial databases; Census databases; Meteorological databases; Business intelligence databases; e-Business databases

XML-driven data, knowledge, databases

Data /dissemination, distributed, processing, management/; XML-data /storage, exchange, compress, metadata/; XML-data and metadata management; XML repositories; Knowledge discovery from XML repositories; XML-data processing /queries, indexing, management, retrieval, mining/; XML data and knowledge /representation, discovery, mining, orchestration/; XML-data in advances environments /clouds, P2P, multimedia, mobile, finance, biotechnologies, geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;

Data privacy

Privacy models; Privacy metrics; Privacy preservation; Watermarking; Data Hiding; Background knowledge; Privacy /data streams, social networks, databases, semantic web/; Privacy mechanisms /cryptography, privacy-aware access control, generalization-based algorithm, perturbation-based algorithm, preservation, sequental releases/; Practical studies /privacy leaking, privacy breach, threats to privacy, privacy in outsourcing/

Data quality and uncertainty

Models, frameworks, methodologies and metrics for data quality; Quality of complex data /documents, semi-structured data, XMLs, multimedia data, graphs, bio-sequences/; Uncertain and noisy data; Uncertain data representation; Processing uncertain data /querying, indexing, mining/; Mining uncertain data/probabilistic, spatially- and temporally- uncertain, uncertain streams/ Data lineage and provenance; Data profiling and measurement; Data integration, linkage and fusion; D uplicate detection and consistency checking; D ata mining and data quality assessment; Quality methods and algorithms / data transformation, reconciliation, consolidation, extraction, cleansing/; User perception on data quality and cleansing;

Data query, access, mining, and correlation

Data access technologies, Query optimisation, Discovering multi-modal correlations; Mining structural data from non-structural mixed-media documents; Data stream mining /frequent patterns, bursty event detection/; Profile mining; Corelation and anomaly in multi-modal-data /social networks, web traffic logs, sale transactions/; Information retrieval on a mixed collections; Multimedia data mining; Data mining system for medical multimedia data; Contents-based image/video retrieval systems

Data and process provenance

Provenance architectures and algorithms; Provenance modelling; Information management for provenance data; Provenance ontology and semantic; Provenance querying; Provenance annotation; Security, trust, and privacy for provenance information; Case studies and practice; Reasoning over provenance; Provenance analytics, mining and visualization

Data management

Distributed Query Languages; Query processing and optimization; Adaptive query processing; Management of mobile data; Managing data privacy and security; Data storage and management; Data stream systems; Data locating; Data warehouse management; Management of dynamic data; Workload adaptability; Transaction management; Performance evaluation and benchmarking or data management

--------------------------
Committee: http://www.iaria.org/conferences2013/ComDBKDA13.html
================================================
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro

[Comp-neuro] Call for Special Sessions: ICeND 2013:: Malaysia

The Second International Conference on e-Technologies and Networks for Development (ICeND 2013)
Kuala Lumpur, Malaysia - March 4-6, 2013
http://sdiwc.net/conferences/2013/Malaysia2/

Would like to invite Researchers for:

Call for Special Sessions: ICeND 2013:: Malaysia
------------------------------------------------

Researchers are welcome to organize special sessions. Please send your session title, your CV for this purpose to ice@sdiwc.net.

Topics of Interest (topics covered will include (but not limited to) the following:

E-Technologies
--------------
:: Biometrics Technologies
:: Computer Forensics
:: Computer Security
:: Context-Aware, Location-based and Autonomous Computing
:: Cryptography and Data Protection
:: Cloud Computing
:: Data Mining
:: Data Compression
:: Distributed and Parallel Applications
:: e-Banking
:: e-Business
:: e-Commerce
:: e-Government
:: e-Learning
:: e-Logistics
:: e-Services
:: e-Payment
:: e-Procurement
:: Electronic Auctions
:: Forensics, Recognition Technologies and Applications
:: Grid Computing
:: Green Computing
:: Image Processing
:: Internet and Web Applications
:: Internet Modeling
:: Information and Data Management
:: Mobile-Commerce
:: Multimedia Computing
:: Semantic Web, Ontologies
:: Signal Processing, Pattern Recognition and Applications
:: Web Services and Application
:: Web Design Experience

Networks
--------
:: Ad hoc and Sensor Networks
:: Fuzzy and Neural Network Systems
:: Information Propagation on Social Networks
:: Mobile Networking, Mobility and Nomadicity
:: Mobile & Broadband Wireless Internet
:: Mobile Networks & Wireless LAN
:: Mobile, Ad Hoc and Sensor Network Management
:: Multimedia Networkin! g
:: Network Security
:: Social Networks
:: Wireless Communications

Submission Instructions and Review Process
------------------------------------------
:: The conference will list the session on the web. The session chair will manage the publicity of his session. It is expected that each session will attract 5 registered papers. The session chair will get a free registration for one of his papers.

:: The submission and the reviewing process for the papers of the session will be managed jointly between the chair and the conference. The chair can take the responsibility of the reviewing with the help of other researchers. However, the conference will get all the reviewing reports at the end.

:: Potential authors should submit their full paper through: http://sdiwc.net/conferences/2013/Malaysia2/openconf/openconf.php. Authors should indicate that their manuscript is being submitted to the Special Issue.

:: Submit! ted papers must be written in English and describe original research, which is not published nor currently under review by other journals or conferences. Author guidelines can be found at http://sdiwc.net/conferences/2013/Malaysia2/camera-ready.

:: All articles selected for publication will be refereed by a minimum of two specialized referees knowledgeable in the topic. At least two reviewers must recommend eventual publication for an article to be accepted.

IMPORTANT DATES
---------------

Submission Date ------------- Dec. 15, 2012
Notification of acceptance -- Jan. 1, 2013
Camera Ready submission ----- Jan. 20, 2013
Registration ---------------- Jan. 20, 2013
Conference dates ------------ March 4-6, 2013

Additional Information
----------------------
WEBSITE: http://sdiwc.net/conferences/2013/Malaysia2/
CONTACT EMAIL: ice@sdiwc.net

Saturday, September 22, 2012

[Comp-neuro] Deadline Extension: MLINI-2012:  2nd  Workshop on Machine Learning and Inference in Neuroimaging at NIPS-2012

     Call for Papers  

     MLINI-2012:  2nd  Workshop on Machine Learning and Inference in Neuroimaging at NIPS-2012

    https://sites.google.com/site/nipsmlini2012/

    December 7-8, 2012, Lake Tahoe, Nevada, United States

    Submission deadline (extended): October 8, 2012
     
    Workshop Overview:
    ------------------------

    MLINI is a two day workshop on the topic of machine learning
    approaches in neuroscience and neuroimaging. We believe that both
    machine learning and neuroimaging can learn from each other as the
    two communities overlap and enter an intense exchange of ideas and
    research questions. Methodological developments in machine learning
    spurn novel paradigms in neuroimaging, while neuroscience motivates
    methodological advances in computational analysis. In this context
    many controversies and open questions exist. The goal of the
    workshop is to pinpoint these issues, sketch future directions, and
    tackle open questions in the light of novel methodology.

    The first workshop of this series at NIPS 2011 built upon earlier
    events in 2006 and 2008. Last year's workshop included many invited
    speakers, and was centered around two panel discussions, during
    which 2 questions were discussed: the interpretability of machine
    learning findings, and the shift of paradigms in the neuroscience
    community. The discussion was inspiring, and made clear, that there
    is a tremendous amount the two communities can learn from each other
    benefiting from communication across the disciplines.  The aim of
    the 2nd MLINI workshop is to continue exploring important  issues on
    the intersection of ML and neuroimaging and further promote cross-
    fertilization between   these communities. Besides interpretation,
    and the shift of paradigms, many open questions remain. Among them:  
    How suitable are MVPA and inference methods for brain mapping?  
    How can we use these approaches for a flexible and useful
    representation of neuroimaging data?  
    What is the role of decoding vs. embedded or separate feature selection?  
    How can we assess the specificity and sensitivity?  
    What can we accomplish with generative vs. discriminative modelling?  
    Can and should the Machine Learning community provide a standard
    repertoire of methods for the Neuroimaging community to use (e.g. in
    choosing a classifier)?

    Workshop Format:
    --------------------------

    In this two-day workshop we will explore perspectives and novel
    methodology at the interface of Machine Learning, Inference,
    Neuroimaging and Neuroscience. We aim to bring researchers from
    machine learning and neuroscience community together, in order to
    discuss open questions, identify the core points for a number of the
    controversial issues, and eventually propose approaches to solving  those issues.
     
    The workshop will be structured around the following main topics:
    - machine learning and pattern analysis methodology in neuroimaging
    - causal inference and interpretability in neuroimaging
    - evaluation of machine learning  methods  in light of clinical applications
    - linking machine learning methodology with neuroscience or
    neuroimaging questions
    Each session will be opened by 2-3 invited talks, and an in depth
    discussion. This will be followed by original contributions.
    Original contributions will also be presented and discussed during a
    poster session. The workshop will end with a panel discussion,
    during which we will address specific questions, and invited
    speakers will open each segment with a brief presentation of their opinion.

    This workshop proposal is part of the PASCAL2 Thematic Programme on
    Cognitive Inference and Neuroimaging  (
    http://mlin.kyb.tuebingen.mpg.de/ ).

    Paper Submission:
    --------------------------
    We seek for submission of original (previously unpublished) research
    papers. The length of the submitted papers should not exceed 8 pages in
    Springer format,  excluding the references (LaTeX2e style  files are
    available on the workshop page).
    Submission of previously published work is possible as well, but the
    authors are required to mention this explicitly. Previously
    published work can be presented at the workshop, but will not be
    included into the workshop proceedings (which are considered peer-
    reviewed publications of novel contributions).  Moreover, the
    authors are welcome to present their novel work but choose to opt
    out of the workshop proceedings in case they have alternative
    publication plans.
     
    Important dates:
    --------------------------
    -  October 1, 2012 - paper submission
    -  October 15, 2012  -  notification of acceptance/rejection
    -  December 7-8, 2012 -  Workshop in Lake Tahoe, Nevada US, following the
    NIPS conference

    Invited Speakers:
    --------------------------
    Jack Gallant (UC Berkeley)
    Bertrand Thirion (INRIA, Neurospin)
    Jean-Baptiste Poline (Neurospin)
    Mert Sabuncu (MGH, Harvard Medical School)

            (more to be confirmed)


    Organizing Committee:
    --------------------------
    Guillermo Cecchi (IBM T.J. Watson Research Center)
    Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University)
    Moritz Grosse-Wentrup (Max Planck Institute for Intelligent Systems, Tübingen, Germany)
    Georg Langs (Medical University of Vienna, CSAIL, MIT)
    Bjoern Menze (ETH Zuerich, CSAIL, MIT)
    Brian Murphy (Machine Learning Department, Carngie Mellon University)
    Irina Rish (IBM T.J. Watson Research Center)
     

Friday, September 21, 2012

[Comp-neuro] Brain Corporation gets multi-million dollar funding to grow to 40 people

Brain Corporation receives Series B funding from Qualcomm Ventures and signs a multi-year R&D agreement with Qualcomm Incorporated to develop a spiking model of the motor control system. 

The funding will allow Brain Corporation to scale up to 40 scientists -- all experts in neuroscience of sensory and motor processing.

The goal is to create the greatest and the most advance computational neuroscience group under one roof. 

There are more than 20 research positions for computational neuroscientists who have expertise in modeling cerebellum, basal ganglia, brainstem and spinal cord, internal models of motor control, reinforcement learning, and animal locomotion.

Dr. Eugene M. Izhikevich
Chairman & CEO
Brain Corporation
San Diego, CA,




Thursday, September 20, 2012

[Comp-neuro] postdoctoral position in computational neuroscience to study sleep oscillations

Applications are invited for an NIH-funded post-doctoral position to study mechanisms and functions of sleep oscillations. The successful candidate will join a research team involving the laboratories of Eric Halgren (UCSD), Terry Sejnowski (UCSD) and Maxim Bazhenov (UC Riverside).  For relevant references see, Chen et al, Journal of Physiology (London), 2012, Jul 9; Bonjean et al, Journal of Neuroscience, 2012, 32(15):5250-63. The ultimate goal of this work is to understand mechanisms and functions of sleep rhythms during stage 2 sleep and the role of sleep oscillations in memory and learning.

 

The successful candidate will be responsible for the design of a thalamocortical model generating sleep rhythms based on existing experimental data. These models will be used to understand underlying neural mechanisms, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in computational/theoretical neuroscience and conductance-based neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON or MATLAB is a plus.

 

The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at maksim.bazhenov@ucr.edu

--   Maxim Bazhenov, Ph.D.  Professor, Cell Biology and Neuroscience  University of California  Riverside, CA 92521  Ph: 951-827-4370  http://biocluster.ucr.edu/~mbazhenov/