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Last Mile: BIOTECHNO 2015 and BIOCOMPUTATION 2015 || May 24 - 29, 2015 - Rome, Italy
by Cristina Pascual
INVITATION:
=================
Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:
- BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies
- BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation
The submission deadline is extended to January 23, 2015.
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
=================
============== BIOTECHNO 2015 | BIOCOMPUTATION 2015 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
BIOTECHNO 2015, The Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies
General page: http://www.iaria.org/conferences2015/BIOTECHNO15.html
Submission page: http://www.iaria.org/conferences2015/SubmitBIOTECHNO15.html
BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation
General page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html
Submission page: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#SubmitAPaper
Events schedule: May 24 - 29, 2015 - Rome, Italy
Contributions:
- regular papers [in the proceedings, digital library]
- short papers (work in progress) [in the proceedings, digital library]
- ideas: two pages [in the proceedings, digital library]
- extended abstracts: two pages [in the proceedings, digital library]
- posters: two pages [in the proceedings, digital library]
- posters: slide only [slide-deck posted at www.iaria.org]
- presentations: slide only [slide-deck posted at www.iaria.org]
- demos: two pages [posted at www.iaria.org]
- doctoral forum submissions: [in the proceedings, digital library]
Proposals for:
- mini symposia: see http://www.iaria.org/symposium.html
- workshops: see http://www.iaria.org/workshop.html
- tutorials: [slide-deck posed on www.iaria.org]
- panels: [slide-deck posed on www.iaria.org]
Submission deadline: January 23, 2015
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
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
BIOTECHNO 2015 Topics (for topics and submission details: see CfP on the site)
Call for Papers: http://www.iaria.org/conferences2015/CfPBIOTECHNO15.html
============================================================
A. Bioinformatics, chemoinformatics, neuroinformatics and applications
Bioinformatics (Bioinformatics modeling; Bioinformatics databases; Epidemic models; Informatics and statistics in bio-pharmaceutical research; Machine learning and artificial intelligence in molecular design; Systems biology and metabolic networks; Medical informatics; Genomics informatics; Biostatistics; Structural and functional genomics; Identifying molecular sequence and structure databases; Mechanisms for specifying molecular interactions and structure predictions; Formalisms for gene regulation and expression databases; Algorithms for gene identification and pattern discovery; Techniques for gene expression analysis; Modeling and simulation of biomarkers)
Advanced biocomputation technologies (Stochastic modeling; Computational drug discovery; Graph theory and bioinformatics; Biological databases and information retrieval; Experimental studies and results; Application of computational intelligence in medicine and biological sciences (artificial neural networks, fuzzy logic, evolutionary computing, and simulated annealing); High-performance computing as applied to natural and medical sciences; Hardware computing accelerators; Computer-based medical systems (automation in medicine, etc.); Other aspects and applications relating to technological advancements in medicine and biological sciences; Novel applications)
Chemoinformatics (Computer-aided drug design; Concepts, methods, and tools for drug discovery; Virtual screening of chemical libraries; ADMET - absorption, distribution, metabolism, excretion, and toxicity; QSAR - quantitative structure-activity relationships; Protein-ligand docking and scoring functions; Chemical similarity and diversity; Chemogenomics in drug discovery; QSPR - quantitative structure-property relationships; Theoretical models in chemical reactivity; Mathematical chemistry and chemical graphs; In silico environmental toxicology; Computer-assisted chemical engineering; Combinatorial chemistry; Graph theory in chemistry; Prediction of drug toxicity; Property prediction; Molecular mechanics and quantum chemical calculations; Modeling and measurements of solid-liquid and vapor-liquid equilibria; Blood-brain barrier penetration; Comparison of the similarity(diversity of chemo-data libraries; Chemoinformatics applications)
Bioimaging ( Image processing in medicine and biological sciences; Measurements techniques; Mass spectrometry; Numerical(mathematical approaches; Biological data integration and visualization)
Neuroinformatics (Neurosciences; Neurocomputing)
B. Computational systems (genetics, biology, and microbiology)
Bio-ontologies and semantics (Software environments for bio-computation, bio-informatics, and biomedical applications; Medical informatics; Epidemic models; Biological data mining; Biomedical knowledge discovery; Pattern classification and recognition; Mathematical biology; Graph theory and bio-informatics; Stochastic modeling; Biological databases and information retrieval; Processing mutation information; Archiving of mutation specific information)
Biocomputing (Computational biology; Bioengineering; Biomedical image computing and informatics; Biomedical automation and control; Image-based diagnosis and therapy; Modeling and simulation of systems biology; Applications of large-scale bio-systems)
Genetics (Gene regulation; Gene expression databases; Gene pattern discovery and identification; Genetic network modeling and inference; Gene expression analysis; RNA and DNA structure and sequencing; Evolution of regulatory genomic sequences; Biological data mining and knowledge discovery; Bio-pattern classification and recognition; Bio-sequence analysis and alignment; Comparative genomics; Structural and functional genomics; Amino acid sequencing)
Molecular and Cellular Biology (Protein modeling; Molecular interactions; Metabolic modeling and pathways; Evolution and phylogenetics; Macromolecular structure prediction; Proteomics; Protein folding and fold recognition; Molecular sequence and structure databases; Molecular dynamics and simulation; Molecular sequence classification, alignment and assembly)
Microbiology (Bio-nanotechnologies; Self-assembly and self-replication; Global regulatory networks and mechanisms; Microbial propagation and immunity; Microbial therapies; Microbial life under extreme energy limitation; Cellular microbiology and contact systems; Phylogenetics; Genome dynamics; Transmission dynamics and evolution of emerging diseases; Metagenomics and drug resistance; Microbes and alternative energies)
C. Biotechnologies and biomanufacturing
Fundamentals in biotechnologies (Bioengineering; Bioelectronics; Biomaterials; Bio-films in ecology and medicine; Biometric screening techniques; Biorobotics)
Biodevices (Biosensors; Biomechanical devices; Biochips; Biocomputing; Biometrics devices; Specialized biodevices; Nanotechnology for biosystems)
Biomedical technologies (Biomedical engineering; Biomedical instrumentation; Biomedical metrology and certification; Biomedical sensors; Biomedical monitoring devices; Biomedical devices with embedded computers; Biomedical integrated systems)
Biological technologies (Biological data integration; Image processing in medicine and biological sciences; Biological data visualization; Synthetic biological systems)
Biomanufacturing (Manufacturing platforms; Biopharmaceutical industry; Generic biopharmaceuticals; Bioprocess management; Clinical trials; Disposables and product changeover; Upstream and downstream bioprocessing; Technology benchmarks; International regulations)
BIOCOMPUTATION 2015 Topics (for topics and submission details: see CfP on the site)
CfP: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#CallForPapers
==========================
Big Data and Context-sensitive Computation
Big Data and Cloud Technology and Services in BioComputation
Big Data, Cloud computing and GPU (Graphical Process Units) for BioComputation
Scale-up and high-performance techniques for data-centric BioComputation
Big Data and Prediction Computational Models
Big Data Computation Applications
Big Data and Evolution Models
Big Data and BioStatistics
Big Data and Personalized Healthcare Computation
Big Data in Genome Analytics
Big Data and Computation on Illness Patterns/Variations (cancer, diabetes, etc.)
Big Data and Donor Information
Big Data and Drugs-related Computation
Big Data and Health/eHealth/Telemedicine Computation
Big Data and Computation in Clinical Context
Big Data and BioImage Computation
Big Data and Molecular Modeling
Big Data and Computational Physics
Big Data and Biological Systems
Big Data and Scalability of BioComputation Tools
Big Data and Trusted Bio-Datasets
Big Data BioComputation and Regulator Borders
------------------------
BIOTECHNO 2015 Committee: http://www.iaria.org/conferences2015/ComBIOTECHNO15.html
BIOCOMPUTATION 2015 Committee: http://www.iaria.org/conferences2015/BIOCOMPUTATION.html#Committees
===============
Jan. 5, 2015
Okinawa/OIST Computational Neuroscience Course 2015: applications open
by Erik De Schutter
OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2015
Methods, Neurons, Networks and Behaviors
June 8 - June 25, 2015
Okinawa Institute of Science and Technology Graduate University, Japan
https://groups.oist.jp/ocnc
The aim of the Okinawa/OIST Computational Neuroscience Course is to
provide opportunities for young researchers with theoretical backgrounds
to learn the latest advances in neuroscience, and for those with experimental
backgrounds to have hands-on experience in computational modeling.
We invite graduate students and postgraduate researchers to participate
in the course, held from June 8th through June 25th, 2015 at an oceanfront
seminar house of the Okinawa Institute of Science and Technology Graduate
University. Applications are through the course web page
(https://groups.oist.jp/ocnc) only; they will close February 8th, 2015.
Applicants will receive confirmation of acceptance in March.
The course has a strong hands-on component based on student proposed
modeling or data analysis projects, which are further refined with the help
of a dedicated tutor. Applicants are required to propose their project at the
time of application.
Like in preceding years, OCNC will be a comprehensive three-week course
covering single neurons, networks, and behaviors with ample time for
student projects. The first week will focus exclusively on methods with
hands-on tutorials during the afternoons, while the second and third weeks
will have lectures by international experts. We invite those who are interested
in integrating experimental and computational approaches at each level, as
well as in bridging different levels of complexity.
There is no tuition fee. The sponsor will provide lodging and meals during
the course and may support travel for those without funding. We hope that
this course will be a good opportunity for theoretical and experimental
neuroscientists to meet each other and to explore the attractive nature and
culture of Okinawa, the southernmost island prefecture of Japan.
Invited faculty:
• Gordon Arbuthnott (OIST)
• Axel Borst (MPI, Münich, Germany)
• Erik De Schutter (OIST)
• Kenji Doya (OIST)
• Eugene Izihikevich (Brain Corporation, USA)
• Bernd Kuhn (OIST)
• Peter Latham (Gatsby Unit, UCL, UK)
• Miguel Nicolelis (Duke University, USA)
• Steve Prescott (University of Toronto, Canada)
• John Rinzel (New York University, USA)
• Jackie Schiller (Technion, Israel)
• Greg Stephens (OIST)
• Jeff Wickens (OIST)
• Taro Toyoizumi (RIKEN BSI, Japan)
• Xiao-Jing Wang (New York University, USA)
• Wako Yoshida (ATR, Japan)
Jan. 5, 2015
Neural-Inspired Computational Elements workshop and student competition
by Aimone, James Bradley
The 3rd Neural-Inspired Computational Elements (NICE) workshop will be held in Bernalillo, New Mexico between February 23rd and February 25th. This year's meeting will focus on the value proposition of neural inspired computing, with speakers discussing topics in neuroscience, neural-inspired algorithms, neural-inspired hardware, and application drivers. NICE is organized by scientists at Sandia National Laboratories and is co-sponsored by the Department of Energy Office of Science, DAPRA, and IARPA.
For an updated speaker list and registration info, please go to http://nice.sandia.gov.
STUDENT COMPETITION
For this first time this year, we are having a student competition. Go to Student Thesis Competition<https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward> (https://nm.kip.uni-heidelberg.de/jss/ApplyForThesisAward) to submit a student thesis abstract and advisor recommendation on a Neuro-inspired Computation related topic. Submissions must be in by January 16th, winners will be announced by January 30th. Three selected students will receive travel support to attend the workshop and have the opportunity to present a 10 minute 'snap overview'. Runner-up notable submissions will be considered for poster presentations during the workshop.
Jan. 4, 2015
postdoctoral position: olfactory coding and holographic optogentics
by Rinberg, Dmitry
Postdoctoral position in the Rinberg (NYU) – Shoham (Technion) labs to study
olfactory coding using holographic optogenetics
We are seeking a talented postdoctoral researcher for our collaborative BRAIN Initiative project to study behavioral readouts of spatiotemporal codes using holographic optogenetics. The project will advance and apply a new technology for spatiotemporal patterned control of multiple neurons in the peripheral olfactory system and use behavioral responses to test how these patterns are being read.
An ideal candidate should have a background in neuroscience, physics and math. Knowledge and experience in computer-generated holography, mutliphoton imaging and/or nonlinear optics are a big plus.
The work will be carried out at the NYU Neuroscience Institute with possible visits to the Technion; the candidate will gain both from NYU’s thriving neuroscience community and from the Technion’s excellence in advanced technology development. Interested applicants should send a cover letter, curriculum vitae, and arrange for reference letters to be sent to Dr. Dmitry Rinberg (rinberg(a)nyu.edu<mailto:rinberg@nyu.edu>).
Jan. 4, 2015
CFP: Special Issue on Neurobiologically Inspired Robotics: Enhanced Autonomy Through Neuromorphic Cognition
by Jeff Krichmar
Dear Computational Neuroscientists,
I hope some of you will consider submitting to this special issue of Neural Networks (http://www.journals.elsevier.com/neural-networks/call-for-papers/special-is…)
Neurobiologically inspired robotics goes by many names: brain-based devices, cognitive robots, neurorobots, and neuromorphic robots, to name a few. The field has grown into an exciting area of research and engineering.
The common goal is twofold: Firstly, developing a system that demonstrates some level of cognitive ability can lead to a better understanding of the neural machinery that realizes cognitive function. The often used phrase, “understanding through building”, implies that one can get a deep understanding of a system by constructing physical artifacts that can operate in the real-world. In building and studying neurobiologically inspired robots, scientists must address theories of neuroscience that couple brain, body, and behavior. Secondly, the deep theoretical understanding of cognition, neurobiology and behavior obtained by constructing physical systems, could lead to a system that demonstrates capabilities commonly found in the animal kingdom, but rarely found in artificial systems, most notably their adaptive and flexible autonomous behavior. There have already been some successes that meet these goals. For example, navigation models based on the hippocampus are now deploy!
ed on robots that autonomously explore their environment. Machine image processing systems based on visual cortex have been used in a number of unsupervised recognition and perception applications. Robots designed to address impairments due to disorders such as Alzheimer’s disease, autism spectrum disorder, and attentional deficit disorders, are being used as therapeutic and diagnostic tools without the need for constant caretaker supervision.
Despite these successes, the field is still in its infancy and basic research is needed. In particular, we are interested in papers that describe: 1) How models of cognitive functions, such as attention, decision-making, learning and memory, perception, and social cognition can be constructed on physical robots. 2) How the neuromorphic devices, which are designed to run neural algorithms with low-power, can advance the construction of autonomous robotics. 3) How the theoretical and engineering lessons learned from constructing neurobiologically inspired robots can transfer to autonomous robots carrying out practical applications.
This Special Issue invites papers that address the three broad topics described above.
Topics of interest
• Adaptive behavior
• Active sensing
• Artificial empathy
• Cortical computing
• Developmental robotics
• Embodied Cognition
• Neuromorphic Engineering
• On-line learning and memory systems
• Prediction and planning
• Socially assistive robotics
Guest Editors
Jeffrey Krichmar, University of California, Irvine
Minoru Asada, Osaka University
Jorg Conradt, Technische Universitat München
Important Dates
Submission due: 1 Feb 2015
Acceptance notification: 1 Aug 2015
Expected publication: 1 Nov 2015
Submission instructions
Each paper for submission should be formatted according to the style and length limit of Neural Networks. Please refer complete Author Guidelines at http://www.elsevier.com/journals/neural-networks/0893-6080/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. A separate cover letter should be submitted that includes the paper title, the list of all authors and their affiliations, and information of the contact author. Each paper will be reviewed rigorously, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at http://ees.elsevier.com/neunet/. To ensure that all manuscripts are correctly included into the special issue described, it is important that all authors select “SI: Neurobiological Robotics” when they reach the "Article Type" step in the submission process.
Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma(a)uci.edu
http://www.socsci.uci.edu/~jkrichma
Jan. 2, 2015
ICDL-EpiRob 2015 CFP
by Benjamin Rosman
========================================================
Call for Papers, Tutorials and Thematic Workshops
New Conference Feature: BABYBOT CHALLENGE
IEEE ICDL-EPIROB 2015
The Fifth Joint IEEE International Conference on Development and
Learning and on Epigenetic Robotics
Brown University, Providence, Rhode Island, USA
August 13-16, 2015
http://www.icdl-epirob.org/
== Conference description
The past decade has seen the emergence of a new scientific field that
studies how intelligent biological and
artificial systems develop sensorimotor, cognitive, emotional and
social abilities, over extended periods of time,
through dynamic interactions with their physical and social
environments. This field lies at the intersection
of a number of scientific and engineering disciplines including
Neuroscience, Developmental Psychology,
Developmental Linguistics, Cognitive Science, Computational
Neuroscience, Artificial Intelligence, Machine
Learning, and Robotics. Various terms have been associated with this
new field such as Autonomous Mental
Development, Epigenetic Robotics, Developmental Robotics, etc., and
several scientific meetings have been
established. The two most prominent conference series of this field,
the International Conference on
Development and Learning (ICDL) and the International Conference on
Epigenetic Robotics (EpiRob), are now
joining forces for the fifth time and invite submissions for a joint
conference in 2015, to explore and
extend the interdisciplinary boundaries of this field.
== BABYBOT CHALLENGE -- CASH PRIZES FOR THE TOP SUBMISSIONS
We are excited to announce a new ICDL-EpiRob conference feature: the
BABYBOT CHALLENGE. The
goal of the challenge is to use the tools of developmental robotics to
replicate and extend the key findings
from one of three selected human-infant studies. Please visit
www.icdl-epirob.org in the coming weeks for the
full announcement, including the three target studies, details on the
submission process, and a description
of how the winning submissions will be judged and selected.
== Keynote speakers (confirmed)
Prof. Dare Baldwin, Dept. of Psychology, University of Oregon, USA
Prof. Kerstin Dautenhahn, School of Computer Science, University of
Hertfordshire, UK
== Call for Submissions
We invite submissions for this exciting window into the future of
developmental sciences. Submissions which
establish novel links between brain, behavior and computation are
particularly encouraged.
== Topics of interest include (but are not limited to):
* the development of perceptual, motor, cognitive, emotional, social,
and communication skills in biological
systems and robots;
* embodiment;
* general principles of development and learning;
* interaction of nature and nurture;
* sensitive/critical periods;
* developmental stages;
* grounding of knowledge and development of representations;
* architectures for cognitive development and open-ended learning;
* neural plasticity;
* statistical learning;
* reward and value systems;
* intrinsic motivations, exploration and play;
* interaction of development and evolution;
* use of robots in applied settings such as autism therapy;
* epistemological foundations and philosophical issues.
Any of the topics above can be simultaneously studied from the
neuroscience, psychology or modeling/robotic
point of view.
== Submissions will be accepted in several formats:
1. Full six-page paper submissions: Accepted papers will be included in
the conference proceedings and will
be selected for either an oral presentation or a featured poster
presentation. Featured posters will have
a 1 minute "teaser" presentation as part of the main conference
session and will be showcased in the
poster sessions. Maximum two-extra pages can be acceptable for a
publication fee of $100 per page.
2. Two-page poster abstract submissions: To encourage discussion of
late-breaking results or for work that
is not sufficiently mature for a full paper, we will accept 2-page
abstracts. These submissions will NOT
be included in the conference proceedings. Accepted abstracts will
be presented during poster sessions.
3. Tutorials and workshops: We invite experts in different areas to
organize either a tutorial or a workshop
to be held on the first day of the conference. Tutorials are meant
to provide insights into specific
topics as well as overviews that will inform the interdisciplinary
audience about the state-of-the-art in
child development, neuroscience, robotics, or any of the other
disciplines represented at the conference.
A workshop is an opportunity to present a topic cumulatively.
Workshops can be half- or full-day in
duration including oral presentations as well as posters. Submission
format: two pages including title,
list of speakers, concept and target audience.
All submissions will be peer reviewed.
Submission website through paperplaza at: http://ras.papercept.net
== Important dates
March 9, 2015, paper submission deadline
May 15, 2015, author notification
July 1, 2015, final version (camera ready) due
August 13th-16th, 2015, conference
== Program committee
General Chairs:
Matthew Schlesinger (Southern Illinois Univ.)
Dima Amso (Brown Univ.)
Bridge Chairs:
Jeffrey Krichmar (UC Irvine)
Bertram Malle (Brown University)
Program Chairs:
Anne Warlaumount (UC Merced)
Clemént Moulin-Frier (INRIA)
Publications Chairs:
Lisa Meeden (Swarthmore College)
Publicity Chairs:
Lola Cañamero (Univ. of Hertfordshire)
Matthias Rolf (Osaka University)
Benjamin Rosman (Univ. of the Witwatersrand)
Local chairs:
David Sobel (Brown University)
Thomas Serre (Brown University)
Finance chairs:
Clayton Morrison (University of Arizona)
--
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The full disclaimer details can be found at http://www.csir.co.za/disclaimer.html.
This message has been scanned for viruses and dangerous content by MailScanner,
and is believed to be clean.
Please consider the environment before printing this email.
Jan. 2, 2015
NEURAL COMPUTATION - January 1, 2015
by Terry Sejnowski
Editorial
Neural Computation was founded with the goal of providing a home for the
best research in computational approaches to understanding brain function.
With this issue Neural Computation is now all electronic
(color illustrations are free) and also has a broader scope.
The goal of the BRAIN Initiative, announced by President Obama on April 2, 2013,
is to accelerate progress in understanding basic principles of brain function
by developing innovative neurotechnologies. The BRAIN 2025 report on the BRAIN
Initiative highlighted Theory, Modeling, Computation and Statistics (TMCS)
as essential to this goal (http://www.braininitiative.nih.gov/2025/index.htm)
The neurotechniques developed by the BRAIN Initiative will scale up the acquisition
of data by three orders of magnitude in the next decade. Every area of neuroscience,
from molecular to systems, can benefit from advanced computational techniques to analyze,
model, and interpret these data, serving as the foundation for conceptual advances
in brain theories.
Neural Computation is uniquely positioned at the crossroads between Neuroscience
and TMCS and welcomes the submission of original papers from all areas of TMCS,
including:
* Advanced experimental design
* Analysis of chemical sensor data
* Connectomic reconstructions
* Analysis of multielectrode and optical recordings
* Genetic data for cell identity
* Analysis of behavioral data
* Multiscale models
* Analysis of molecular mechanisms
* Neuroinformatics
* Analysis of brain imaging data
* Neuromorphic engineering
* Principles of neural coding, computation, circuit dynamics, and plasticity
* Theories of brain function
An expanded editorial board will guide Neural Computation in this broader arena:
http://www.mitpressjournals.org/page/editorial/neco
As the US BRAIN Initiative and the European Human Brain Project continue to expand,
and as other countries launch new brain programs, Neural Computation will be
central in integrating these international efforts.
Terry Sejnowski
-----
Neural Computation - Volume 27, Number 1 - January 1, 2015
Available online for download now:
http://www.mitpressjournals.org/toc/neco/27/1
-----
Article
Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron
and Ensemble Data Analysis
Carlos E. Vargas-Irwin, David M. Brandman, Jonas B. Zimmermann,
John P. Donoghue, Michael J. Black
Note
Optimizing the Representation of Orientation Preference Maps in Visual Cortex
Nicholas J. Hughes, Geoffrey J. Goodhill
Letters
Topological Sparse Learning of Dynamic Form Patterns
T. Guthier, V. Willert, J. Eggert
Dynamics of Gamma Bursts in Local Field Potentials
Priscilla E. Greenwood, Mark D. McDonnell, Lawrence M. Ward
Spatiotemporal Conditional Inference and Hypothesis Tests
for Neural Ensemble Spiking Precision
Matthew T. Harrison, Asohan Amarasingham, Wilson Truccolo
Toward a Multisubject Analysis of Neural Connectivity
C. J. Oates, L. Costa, T. E. Nichols
Using Multilayer Perceptron Computation to Discover Ideal
Insect Olfactory Receptor Combinations in the Mosquito and
Fruit Fly for an Efficient Electronic Nose
Luqman R. Bachtiar, Charles P. Unsworth, Richard D. Newcomb
Graph Degree Sequence Solely Determines the Expected Hopfield Network
Pattern Stability
Daniel Berend, Shlomi Dolev, Ariel Hanemann
Efficient Training of Convolutional Deep Belief Networks in the
Frequency Domain for Application to High-Resolution 2D and 3D Images
Tom Brosch, Roger Tam
Conditional Density Estimation with Dimensionality Reduction via
Squared-Loss Conditional Entropy Minimization
Voot Tangkaratt, Ning Xie, Masashi Sugiyama
------------
ON-LINE -- http://www.mitpressjournals.org/neuralcomp
SUBSCRIPTIONS - 2015 - VOLUME 27 - 12 ISSUES
Student/Retired $75
Individual $134
Institution $1,075
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu
------------
Dec. 30, 2014
Call for Papers: IEEE IJCNN'2015 Special Session on: "Emerging Methodologies for Big Data Integration"
by Dr Amir Hussain
CALL FOR PAPERS
IEEE IJCNN 2015 Special Session on
*"*Emerging Methodologies for Big Data Integration*"*
July 12 - 17, 2015, Killarney, Ireland (
http://www.ijcnn.org/ )
**********************************************************
IMPORTANT DATES
Paper submission: January 15th, 2015
Paper Decision notification: March 15th, 2015
Camera-ready submission: April 15th, 2015
Conference Dates: July 12 - 17th, 2015
***********************************************************
Over the years, huge quantities of data have been generated by large-scale
scientific experiments (biomedical, “omic”, imaging, astronomical, etc.),
big industrial companies and on the web. One of the main characteristics of
such Big Data is that they are multi-view, i.e. there are multiple sources
(in the “omics” sciences, experiments related to mRNA, miRNA etc.), relate
the same patterns (in this case patients) or multi-domain (in biomedical
applications for examples, “omics, imaging and clinical data).
As a consequence, new methodologies based on neural networks, machine and
statistical learning, computation Intelligence and others, have been
proposed to integrate these kinds of big data and to elicit relevant
information to infer novel models and correlations.
The aim of the special session is to solicit new approaches to real world
scientific and industrial big data integration, as well as applications of
above mentioned Big Data methodologies.
*Topics**
Papers must present original work or review the state-of-the-art in the
following non-exhaustive list of topics:
Multi-view learning
Multi-view clustering
data fusion
data integration
multi-view data applications
multi domain data applications
THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF
IJCNN 2015, January 15th 2015.
All the submissions will be peer-reviewed with the same criteria used for
other contributed papers.
Perspective authors will submit their papers through the IJCNN2015
conference submission system at http://www.ijcnn.org/
Please make sure to select the Special Session "Emerging Methodologies for
Big Data Integration " from the "S. SPECIAL SESSION TOPICS" name in the
"Main Research topic" dropdown list;
Templates and instructions for authors will be provided on the IJCNN
webpage http://www.ijcnn.org/
All papers submitted to the special sessions will be subject to the same
peer-review procedure as regular papers, accepted papers will be published
in the conference proceedings.
Further information about IJCNN 2015 can be fond at http://www.ijcnn.org/
and about the special session at
http://neuronelab.unisa.it/emerging-methodologies-for-big-data-integration/
***********************************************************
**Organizers**
- Amir Hussain
Professor of Computing Science and founding Director of the Cognitive
Signal-Image Processing and Control Systems Research (COSIPRA) Laboratory,
University of Stirling, UK (E-mail: ahu(a)cs.stir.ac.uk
http://cs.stir.ac.uk/~ahu)
- Giovanni Montana
Professor and Chair in Biostatistics and Bioinformatics, Biomedical
Engineering Department, King’s College, London, UK
- Francesco Carlo Morabito
Professor and Chair of the Neurolab, Dipartimento DICEAM, Università
Mediterranea di Reggio Calabria, Italy
- Roberto TAGLIAFERRI
Professor and Chair of the Neuronelab, Dipartimento di Informatica,
Università di Salerno, Italy
**Technical Program Committee (being continuously updated)**
Elia Mario Biganzoli, Università di Milano, Italy
Erik Cambria, NTU, Singapore
Ciro Donalek, Caltech, CA, USA
Anna Esposito, Seconda Università di Napoli, Italy
Marcos Faundez-Zanuy, Escola Universitaria Politecnica de Mataro
(Tecnocampus), Spain
Alexander Gelbukh, National Polytechnic Institute, Mexico
Dario Greco, FIOH, Finland
Newton Howard, MIT Media Lab, USA
Pietro Liò, University of Cambridge, UK
Bin Luo, Anhui University, China
Mufti Mahmud, Antwerp University, Belgium
Riccardo Rizzo, CNR, Italy
Jingpeng Li, University of Stirling, UK
Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy
Alfredo Vellido, Universidad Politécnica de Cataluña, Spain
Pierangelo Veltri, Università "Magna Graecia" di Catanzaro, Italy
Jonathan Wu, University of Windsor, Canada
Yunqing Xia, Tsinghua University, China
Kang Li, Queen's University, Belfast, UK
Dongbing Gu, Essex University, UK
Vincent C. Müller, Anatolia College/ACT, Greece & Oxford University, UK
Dongbin Zhao, Chinese Academy of Sciences, Beijing, China
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--
The University of Stirling has been ranked in the top 12 of UK universities for graduate employment*.
94% of our 2012 graduates were in work and/or further study within six months of graduation.
*The Telegraph
The University of Stirling is a charity registered in Scotland, number SC 011159.
Dec. 28, 2014
Teaching Computational Neuroscience
by Érdi Péter
A multiple book review:
http://arxiv.org/abs/1412.5909
Péter Érdi
http://people.kzoo.edu/~perdi/
Dec. 28, 2014
UC Santa Barbara Postdoc fellowship announcement
by John Hajda
SAGE JUNIOR FELLOW PROGRAM, SAGE CENTER FOR THE STUDY OF MIND,
UNIVERSITY OF CALIFORNIA, SANTA BARBARA
Job number JPF00417
Four postdoctoral positions will be available beginning on September 1,
2015. This is a three-year fellowship, and the competition is open to
all qualified candidates regardless of institutional affiliation.
The SAGE Center Junior Fellowship Program, established in 2011, fosters
interdisciplinary research in the study of brain-mind interaction at the
postdoctoral level. We are seeking a group of highly collaborative,
interacting fellows who are willing to take different approaches to
shared conceptual challenges. Qualified applicants should be able and
will be encouraged to utilize the UCSB Brain Imaging Center
(http://www.bic.ucsb.edu/) The Center supports the new PRISMA (3T)
Siemens magnet as well as MRI compatible high density
electroencephalography hardware. Center funding will be available for
imaging studies.
In addition to developing research programs in close collaboration with
individual faculty, Junior Fellows will enjoy special privileges,
including access to visiting SAGE Scholars and attendance at regular
group meetings to collaborate and share information about the role of
psychology, cognitive neuroscience, economics, political science,
anthropology, biology, physics, engineering, the arts, philosophy and
other disciplines on the study of brain, mind and behavior. To be
eligible for the Junior Fellows program, a candidate must have been
awarded a doctoral degree or foreign equivalent within the past five years.
Proposed research topics must be related to brain-mind interaction.
Interdisciplinary approaches are encouraged. We will strive to create a
team based on common interests of the top applicants.
To apply, please submit:
1. A complete CV, published article and three letters of recommendation
2. A statement of your research interests and a description of how those
interests complement the goals of the SAGE Center.
For primary consideration, apply by February 1, 2015, although we will
accept applications until the positions are filled. Please submit your
application at https://recruit.ap.ucsb.edu/apply/JPF00417. Inquiries
about your application may be directed to
juniorfellows(a)sagecenter.ucsb.edu; include your last name in the subject
line of all correspondence.
Michael S. Gazzaniga, Ph.D.
Director, SAGE Center for the Study of Mind
University of California, Santa Barbara
http://www.sagecenter.ucsb.edu/
http://www.psych.ucsb.edu/~gazzanig/
The department is especially interested in candidates who can contribute
to the diversity and excellence of the academic community through
research, teaching and service. The University of California is an Equal
Opportunity/Affirmative Action employer. All qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, national origin, or any other characteristic protected by
law including protected Veterans and individuals with disabilities.
--
John Hajda, Ph.D.
Associate Director
Sage Center for the Study of the Mind
Department of Psychological and Brain Sciences
University of California, Santa Barbara
Santa Barbara, CA 93106-9660
Phone 805-893-4460
Fax 805-893-3228
hajda(a)sagecenter.ucsb.edu
http://www.sagecenter.ucsb.edu/
Dec. 23, 2014