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August 2014
- 50 participants
- 53 messages
Re: [Comp-neuro] New Purkinje Neuron Paper
by MICHAEL FORREST
This very recent paper may be of interest to the readership.
It investigates and demonstrates the computational power of just a single neuron: the cerebellar Purkinje neuron. Furthermore, it suggests that the sodium-potassium pump is not simply a homeostatic, "housekeeping" molecule - but that it can be a computational element, utilised by the brain for information processing.
Forrest MD (2014) Intracellular calcium dynamics permit a Purkinje neuron model to perform toggle and gain computations upon its inputs. Front. Comput. Neurosci. 8:86.
Web link to this article at Frontiers (article is free):
http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00086/full
Date: Sat, 9 Aug 2014 19:54:33 +0200
From: hugues.berry(a)inria.fr
To: comp-neuro(a)neuroinf.org
CC: mauriziodepitta(a)gmail.com
Subject: [Comp-neuro] A mailing list for Computational Glioscience
Dear colleagues,
A spinoff of the recent OCNS workshop on the modelling of glia-neuron interactions, we have started a new mailing list. It is intended to share items of interest (new results, papers, events, trainings, jobs...) to the computational glioscience community, i.e. researchers implicated in the modelling and simulation of glial cells at large (astrocytes, microglia, oligodendrocytes, Schwann cells...) and their interactions with neurons.
To subscribe, send an email to : sympa(a)inria.fr with the following Subject:
subscribe comput-gliosci your_name
Sincerely yours
Maurizio De Pitta'
Hugues Berry--------------------------------------------------------------------------------
Maurizio De Pitta' - https://sites.google.com/site/mauriziodepitta
Hugues Berry - http://www.inrialpes.fr/Berry
--------------------------------------------------------------------------------
Project-Team BEAGLE
INRIA Rhone-Alpes
Université de Lyon LIRIS UMR5205
Antenne INRIA de La Doua
Batiment CEI-1
66 Blvd Niels Bohr
CS 52132
69603 Villeurbanne cedex
France
_______________________________________________
Comp-neuro mailing list
Comp-neuro(a)neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
Aug. 26, 2014
Neural Circuits and Behavior Faculty Position
by Olaf Sporns
NEURAL CIRCUITS AND BEHAVIOR FACULTY POSITION, INDIANA UNIVERSITY: The
Department of Psychological and Brain Sciences at Indiana University --
Bloomington seeks to fill a faculty position at the level of Assistant
Professor (tenure-track) to begin August 2015. Applicants for this
position must have a doctorate, a strong record of publication, and the
potential for research funding. The applicant's research should focus on
using innovative experimental techniques in animal models to understand
mechanisms and causal relationships between neural circuit activity and
ethologically relevant behavior. We seek cutting-edge integration
between new and emerging capabilities for large scale recording and/or
manipulation of circuits combined with sophisticated analysis of
large-scale data. Examples of behaviors of interest include those
related to learning and memory, perception, decision making, reward,
timing, pain, adaptation to stress, and developmental processes.
Experimental techniques include various methods for recording and
manipulating neural circuits at single-cell resolution, including
multi-electrode recordings, imaging of circuit activity, and
optogenetics. Candidates using circuit-based approaches to study
preclinical models of schizophrenia, autism, and other difficult to
treat psychiatric diseases are encouraged to apply. The successful
candidate is expected to assemble a vibrant, externally-funded research
program and to achieve excellence in both undergraduate and graduate
education. Indiana University is in the midst of a multi-year
initiative to build excellence in network science, and it is anticipated
that the candidate's research will both benefit from, and contribute to
the initiative's computational neuroscience components.
To apply, please include a curriculum vita, copies of representative
publications, statements of research and teaching interests, and three
(3) letters of recommendation.
Interested candidates should review the application requirements and
submit their application at: https://indiana.peopleadmin.com. Questions
regarding the position or application process can be directed to:
William P. Hetrick, Ph.D., Professor and Chair, Department of Psychology
and Brain Sciences, 1101 E. 10th St., Indiana University, Bloomington,
IN 47405 or via email at whetrick(a)indiana.edu <mailto:whetrick@indiana.edu>.
Review of all applications will begin on November 1, 2014 and will
continue until the position is filled. Indiana University is an equal
opportunity employment and affirmative action employer and a provider of
ADA services. All qualified applicants will receive consideration for
employment without regard to age, ethnicity, color, race, religion, sex,
sexual orientation or identity, national origin, disability status or
protected veteran status. Information about the department and the
university is available at
*http://psych.indiana.edu/faculty/opportunities.asp
*
*
*
--
Olaf Sporns -- @spornslab
Department of Psychological and Brain Sciences
Programs in Neuroscience and Cognitive Science
Indiana University
Bloomington, IN 47405
Aug. 26, 2014
CFP: MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
by Irina Rish
Call for Papers
MLINI 2014 - 4th NIPS Workshop on Machine Learning and Interpretation in
Neuroimaging: Beyond the Scanner
https://sites.google.com/site/mlininips2014/
Friday, December 12, 2014, Montreal, Quebec, Canada
Submission deadline: October 10th, 2014
Workshop Overview:
-----------------------
MLINI workshop focuses on machine learning approaches in neuroscience,
neuroimaging, with an extension to behavioral experiments and psychology.
This year, our focus is specifically on "Going Beyond the Scanner", which
includes making inferences about mental states of a subject from
''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech
and/or text, audio, video, EEG and signals collected from various wearable
devices.
We believe that machine learning has a prominent role in shaping how
questions in neuroscience are framed, and that the machine-learning mind
set is now entering modern psychology and behavioral studies. It is also
equally important that practical applications in these fields motivate a
rapidly evolving line or research in the machine learning community. In
parallel, there is an intense interest in learning more about brain
function in the context of rich naturalistic environments and scenes.
Efforts to go beyond highly specific paradigms that pinpoint a single
function, towards schemes for measuring the interaction with natural and
more varied scene are made. In this context, many controversies and open
questions exist.
The goal of the workshop is to pinpoint the most pressing issues and common
challenges across the fields, and to sketch future directions and open
questions in the light of novel methodology. The proposed workshop is aimed
at offering a forum that joins machine learning, neuroscience, and
psychology community, and should facilitate formulating and discussing the
issues at their interface. Motivated by the previous workshops in this
series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop
around invited talks and a panel discussion. Triggered by the discussions,
this year we plan to adapt the workshop topics to a less traditional scope
neuroimaging scope and investigate the role of behavioral models and
psychology, including topics such as psycholinguistics.
Open questions and possible topics for contribution include, but are not
limited to, the following:
- How can we move towards more naturalistic stimuli, tasks and paradigms in
neuroimaging and neuro-signal analysis?
- What kind of mental states can be inferred from cheaper and easier to
collect data sources (as an alternative to fMRI), such as text, speech,
audio, video, EEG, and wearable devices?
- How can we leave the lab when acquiring neuroimaging data, towards
exploiting mobile acquisition (EEG and NIRS)?
- What type of features should be extracted from naturalistic stimuli such
as text, voice, etc., to detect specific mental states and/or mental
disorders?
- How can we combine traditional neuroimaging with naturalistic data
collected from a subject or group of subjects?
- In general, can we characterize situations when multivariate predictive
analysis (MVPA) and inference methods are better suited for brain imaging
analysis than more traditional techniques?
- Given recent advances of deep learning in image analysis and other
applications, a natural question to ask is whether neuroimaging analysis
can benefit from such approaches?
- How well can functional networks and dynamical models capture the brain
activity, and when using network and dynamics information is superior to
standard task-based brain activations?
Workshop Format:
--------------------------
In this one-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. Each session will be
opened by several 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.
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 10, 2014 - paper submission
- October 24, 2014 - notification of acceptance/rejection
- December 12, 2014 - Workshop at Montreal, Quebec, Canada , following
the NIPS conference
Organizing Committee:
--------------------------
Guillermo Cecchi (IBM T.J. Watson Research Center)
Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon
University)
Georg Langs (Medical University of Vienna, CSAIL, MIT)
Brian Murphy (Machine Learning Department, Carngie Mellon University)
*Irina Rish (IBM T.J. Watson Research Center) - main contact
Leila Wehbe (CMU)
Aug. 25, 2014
First release of VERTEX cortical tissue LFP simulator
by Marcus Kaiser
Dear colleagues,
Many of you may be interested the first release of our VERTEX simulator for
biologically realistic models of *primate* cortical tissue.
The Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX)
is a Matlab tool for simulating extracellular potential recordings in
spiking neural network (SNN) models.
As a first application, our model allows us to reproduce temporal and
spatial gamma oscillation features of in vitro MEA recordings of macaque
cortex using more than 100,000 model neurons. However, adapting the code to
other species or tissue types is also possible in the future (see FAQ on
our website).
VERTEX 1.0 Release Features
- VERTEX simulator allows large simulations (> 100 000 neurons) on
single computers
- *In silico* neuronal network model of an *in vitro* brain slice
recording
- Realistic local field potential recording with “virtual electrodes” at
any 3D point
- Direct comparisons between simulated and experimentally observed tissue
Software, a two-minute introductory video, tutorials, manuals, and a FAQ
can be found at: http://www.vertexsimulator.org/
This release is in conjunction with our publication:
Tomsett RJ, Ainsworth M, Thiele A, Sanayei M, Chen X, Gieselmann A,
Whittington MA, Cunningham MO, Kaiser M. Virtual Electrode Recording Tool
for EXtracellular potentials (VERTEX): Comparing multi-electrode recordings
from simulated and biological mammalian cortical tissue. Brain Structure
and Function (in press) http://dx.doi.org/10.1007/s00429–014–0793-x
<http://dx.doi.org/10.1007/s00429-014-0793-x>
Best,
Marcus
--
Marcus Kaiser, Ph.D.
Associate Professor (Reader) in Neuroinformatics
School of Computing Science
Newcastle University
Claremont Tower
Newcastle upon Tyne NE1 7RU, UK
Lab website:
http://www.dynamic-connectome.org/
Neuroinformatics@Newcastle:
http://neuroinformatics.ncl.ac.uk/
--
Best,
Marcus
--
Marcus Kaiser, Ph.D.
Associate Professor (Reader) in Neuroinformatics
School of Computing Science
Newcastle University
Claremont Tower
Newcastle upon Tyne NE1 7RU, UK
Lab website:
http://www. <http://www.biological-networks.org/>dynamic-connectome.org
<http://www.dynamic-connectome.org/>
Neuroinformatics@Newcastle:
http://neuroinformatics.ncl.ac.uk/
Aug. 25, 2014
Research Scientist Computational Neuroscience Position in Toronto
by Frances Skinner
Computational Neuroscience Research Scientist Position
The Toronto Western Research Institute of the University Health Network invites
applicants to apply for a Scientist position in the area of Computational
Neuroscience.
The ideal candidate will have a PhD in a relevant field, have research
experience and expertise in mathematical and computational modeling
techniques, and research interests that complement those of the Institute
in “Degenerative Disorders of Aging”. Candidates whose research interests
encompass modeling at multiple levels (molecular, cellular, network,
systems), and who have experimental and/or collaborative experimental
experience are especially encouraged.
The successful candidate will have the ability to establish an independent,
well-funded program and will be eligible for appointment at the appropriate
level within the University of Toronto.
Applications must be emailed by October 19th, 2014 and should include:
1) CV,
2) Statement of research interests, and
3) Contact information (including email) for three referees
Reply, by email only, and in confidence to: TWRIrecruitment(a)uhnresearch.ca with
subject line: CompNeuro
University Health Network thanks all applicants, however, only those
selected for an interview will be contacted.
--
Frances Skinner, PhD
TWRI/UHN and Univ Toronto
www.skinnerlab.org
Aug. 23, 2014
JOURNAL OF INTEGRATIVE NEUROSCIENCE
by Roman Poznanski
JOURNAL OF INTEGRATIVE NEUROSCIENCE
Volume 13, No.3, September 2014
http://www.worldscinet.com/jin
1. Theoretical predications of the effects of temperature on simulated adaptive processes in human motor nerve axons at 20°C–42°C
D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M>
DOI: 10.1142/S0219635214500162
2. Motor afferents from the cerebellum, zona incerta and substantia nigra to the mediodorsal thalamic nucleus in the rat
Safiye Çavdar<http://www.worldscientific.com/action/doSearch?Contrib=%C3%87avdar%2C+S>, Merve Özgür<http://www.worldscientific.com/action/doSearch?Contrib=%C3%96zg%C3%BCr%2C+M>, Sanem Pınar Uysal<http://www.worldscientific.com/action/doSearch?Contrib=Uysal%2C+S+P>, Özge Ceren Amuk<http://www.worldscientific.com/action/doSearch?Contrib=Amuk%2C+%C3%96+C>
DOI: 10.1142/S0219635214500198
3. An ERP study of simple addition: The semantics and syntax of arithmetic operation signs
Shelley Shaul<http://www.worldscientific.com/action/doSearch?Contrib=Shaul%2C+S>, Pearla Nesher<http://www.worldscientific.com/action/doSearch?Contrib=Nesher%2C+P>
DOI: 10.1142/S0219635214500186
4. The role of featural processing in other-race face classification advantage: An ERP study
Zhenhua Liu<http://www.worldscientific.com/action/doSearch?Contrib=Liu%2C+Z>, Qinghua Zhang<http://www.worldscientific.com/action/doSearch?Contrib=Zhang%2C+Q>, Yan Li<http://www.worldscientific.com/action/doSearch?Contrib=Li%2C+Y>, Yifeng Du<http://www.worldscientific.com/action/doSearch?Contrib=Du%2C+Y>, Wei Dong<http://www.worldscientific.com/action/doSearch?Contrib=Dong%2C+W>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L>
DOI: 10.1142/S0219635214500125
5. fMRI evidence for dissociation between priming and conscious recognition
M. S. Korsnes<http://www.worldscientific.com/action/doSearch?Contrib=Korsnes%2C+M+S>, S. J. Magnussen<http://www.worldscientific.com/action/doSearch?Contrib=Magnussen%2C+S+J>
DOI: 10.1142/S0219635214500149
6. Visual MMN elicited by orientation changes of faces
Wei Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+W>, Danmin Miao<http://www.worldscientific.com/action/doSearch?Contrib=Miao%2C+D>, Lun Zhao<http://www.worldscientific.com/action/doSearch?Contrib=Zhao%2C+L>
DOI: 10.1142/S0219635214500137
7. MEG localization of spike sources in human patients with brain tumors
T. Birbilis<http://www.worldscientific.com/action/doSearch?Contrib=Birbilis%2C+T>, P. Anninos<http://www.worldscientific.com/action/doSearch?Contrib=Anninos%2C+P>, I. Seimenis<http://www.worldscientific.com/action/doSearch?Contrib=Seimenis%2C+I>, A. Adamopoulos<http://www.worldscientific.com/action/doSearch?Contrib=Adamopoulos%2C+A>, A. Kotini<http://www.worldscientific.com/action/doSearch?Contrib=Kotini%2C+A>
DOI: 10.1142/S0219635214500150
8. Effects of temperature on simulated electrotonic potentials and their current kinetics of human motor axons at 20°C–42°C
D. I. Stephanova<http://www.worldscientific.com/action/doSearch?Contrib=Stephanova%2C+D+I>, M. Daskalova<http://www.worldscientific.com/action/doSearch?Contrib=Daskalova%2C+M>
DOI: 10.1142/S0219635214500095
9. Color properties of the motion detectors projecting to the goldfish tectum: I. A color matching study
Vadim Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+V>, Elena Maximova<http://www.worldscientific.com/action/doSearch?Contrib=Maximova%2C+E>, Ilija Damjanović<http://www.worldscientific.com/action/doSearch?Contrib=Damjanovi%C4%87%2C+I>, Paul Maximov<http://www.worldscientific.com/action/doSearch?Contrib=Maximov%2C+P>
DOI: 10.1142/S0219635214500113
10. Neural mechanisms underlying conflict monitoring over risky decision alternatives: Evidence from ERP in a Go/Nogo task
Shuzhen Wang<http://www.worldscientific.com/action/doSearch?Contrib=Wang%2C+S>, Ning Hui<http://www.worldscientific.com/action/doSearch?Contrib=Hui%2C+N>, Xinsheng Zhou<http://www.worldscientific.com/action/doSearch?Contrib=Zhou%2C+X>, Kaifeng He<http://www.worldscientific.com/action/doSearch?Contrib=He%2C+K>, Yuanyuan Yu<http://www.worldscientific.com/action/doSearch?Contrib=Yu%2C+Y>, Jing Shuai<http://www.worldscientific.com/action/doSearch?Contrib=Shuai%2C+J>
DOI: 10.1142/S0219635214500101
"The only journal that combines mathematical neuroscience and experimental brain research for the advancement of a well-grounded theoretical neuroscience."
--Gilbert A. Chauvet, Chief Editor, Journal of Integrative Neuroscience, 2002-2007
Indexed in: Index Medicus
MEDLINE
PubMed
Biosis Previews
Biological Abstracts
INSPEC
Science Citation Index
Expanded
-------
Roman R. Poznanski
Professor
Laboratory of Biological Modeling
The Rockefeller University
1230 York Avenue
New York, NY 10065-6399
Office: (212) 327-7646
E-mail: rpoznanski(a)rockefeller.edu
http://romanpoznanski.blogspot.com
and
Chief-Editor,
Journal of Integrative Neuroscience
http://www.worldscinet.com/jin/mkt/editorial.shtml
Aug. 23, 2014
MSc program in Neural Systems and Computation - University of Zurich and ETH Zurich
by Michael Pfeiffer
We are inviting applications for the MSc program in Neural Systems and
Computation, an interdisciplinary program offered as a Joint Master
Program by the University of Zurich and ETH Zurich, Switzerland. The
program offers a theoretical and laboratory training in neural
computation and systems neuroscience. It offers hands-on knowledge of
data gathering, analysis and scientific presentation. Students join an
international and interdisciplinary research community with expertise in
neuroinformatics, advanced experimental techniques and neuromorphic
engineering. Further information can be found on our homepage
http://www.nsc.uzh.ch.
We offer a specialized full-time Masters program open to students with a
Bachelor’s degree in the following disciplines: neurosciences,
information technology, electrical engineering, biology, physics,
computer sciences, chemistry, mathematics, and
mechanical/chemical/control engineering. The core courses (all offered
in English) provide a common foundation for students with different
educational backgrounds, and cover the following:
1. Systems Neurosciences
2. Neural Computation and Theoretical Neuroscience
3. Neurotechnologies and Neuromorphic Engineering
The application deadline for students starting in Spring Semester 2015
is *September 15th 2014*. Details about the application process and
required documents can be found here: http://www.nsc.uzh.ch/?page_id=10
The program is affiliated with the Mathematics and Natural Sciences
Faculty (MNF) at the University of Zurich (UZH) and the Information
Technology and Electrical Engineering Department (D-ITET) of the ETH
Zurich. All applications are handled by the University of Zurich.
Application documents should be sent to nsc(a)ini.uzh.ch.
Michael Pfeiffer
--
=========================================
Dr. Michael Pfeiffer
Postdoc, Director of Studies NSC
Institute of Neuroinformatics
University of Zurich and ETH Zurich
Winterthurerstrasse 190
CH-8057 Zurich, Switzerland
Tel. +41 44 635 30 45
Fax +41 44 635 30 53
pfeiffer (at) ini.phys.ethz.ch
http://www.ini.uzh.ch/~pfeiffer/
=========================================
Aug. 22, 2014
PhD position available at VU University Medical Center in Amsterdam
by Andre Marquand
Please see below for a PhD Vacancy at the VU University Medical Centre in Amsterdam for employing pattern recognition methods for neuroimaging data analysis.
-----------------------------------------------------------
The project
The focus of the proposed PhD project is two-fold;
First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety.
A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response.
For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (www.nesda.nl) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort.
You will also work with similar data from other international cohorts, and with data from the MOTAR study (www.motar.nl) in which the effects of antidepressant and running treatments are examined.
This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients.
You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology.
Your challenge
As a PhD Student your main tasks and responsibilites are:
• Help examine predictors of the naturalistic course and treatment response in depression and anxiety;
• Identifying subtypes of depression and anxiety based on multimodal data sources;
• Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts;
• Write various scientific papers on the above topics, and complete your research with a PhD thesis.
Your profile
We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience:
• A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis;
• Experience with neuroimage analysis or with (bio) statistics is desirable;
• You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab);
• You have excellent communications skills in English, both written and verbal;
• Having experience in writing (international) publication(s) is a plus.
Benefits
Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week).
We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months.
Additional information
The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate.
Interested?
For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592.
For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718.
Please submit your candidacy by latest September 7, 2014
with reference number D2.2014.00077WH via the following link: http://bit.ly/PhDMachineLearning
Aug. 21, 2014
Postdoctoral Research Fellow in Computational Brain Modeling and Neural Engineering
by Mark Kramer
A multi-year postdoctoral researcher position in computational neuroscience is available immediately through a collaboration of Massachusetts General Hospital and Boston University. The fellow will be tasked to build neural models capable of simulating and predicting human neural dynamics within and among a network of cortical and subcortical areas. These models will inform the design of adaptive “closed loop” stimulation to treat psychiatric disorders. The researcher will work with an interdisciplinary team of clinical and computational researchers at Harvard Medical School, Massachusetts General Hospital, and Boston University to focus on three central aims: 1) Develop a mean-field computational model of human cortical and subcortical regions, 2) Simulate the impact of electrical stimulation on the model dynamics, 3) Implement data assimilation procedures to link in vivo brain voltage recordings from individual patients to the computational model variables and parameters.
Experience in statistics (e.g., parameter estimation, Kalman filtering, particle filtering) and computer programming in MATLAB and C-like languages are required. Knowledge of neuroscience and models of neural population activity are preferred, and we will preferentially interview candidates with prior work in neural simulation or experimental neuroscience.
This opportunity is available immediately, and candidates currently available to begin work will be preferred. However, we are happy to negotiate start terms for outstanding candidates. To apply, or for more information about the position, please send an email to Drs. Mark Kramer (mak(a)bu.edu) and Alik Widge (awidge(a)partners.org) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Applications from women and representatives of minority groups are encouraged.
See also:
http://www.nature.com/naturejobs/science/jobs/446865-postdoctoral-research-…
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Mark A. Kramer
Prof. Math & Stats, BU
http://math.bu.edu/people/mak/
Aug. 20, 2014
[COSYNE2015] Call for workshop proposals
by Tomas Hromadka
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Computational and Systems Neuroscience (Cosyne) 2015
MAIN MEETING WORKSHOPS
Mar 5 - Mar 8, 2015 Mar 9 - Mar 10, 2015
Salt Lake City, Utah Snowbird Ski Resort, Utah
http://www.cosyne.org
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CALL FOR WORKSHOP PROPOSALS
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PROPOSAL DEADLINE: November 21, 2014.
PRE-PROPOSALS: In an effort to coordinate submissions, the organizers
are encouraged to submit a pre-proposal by October 31, 2014.
Pre-proposals will be shared among submitters. Pre-proposals are
requested but not required. The organizers may submit the full proposal
by its deadline.
A series of workshops will be held after the main Cosyne meeting
(http://www.cosyne.org) The goal is to provide an informal forum for
the discussion of important research questions and challenges.
Controversial issues, open problems, comparisons of competing
approaches, and alternative viewpoints are encouraged.
The overarching goal of all workshops should be the integration of
empirical and theoretical approaches, in an environment that fosters
collegial discussion and debate. Preference will be given to proposals
that differ substantially in content, scope, and/or approach from
workshops of recent years (examples available at
http://www.cosyne.org/c/index.php?title=Workshops)
Relevant topics include, but are not limited to: sensory processing;
motor planning and control; functional neural circuits; motivation,
reward and decision making; learning and memory; adaptation and
plasticity; neural coding; neural circuitry and network models; and
methods in computational or systems neuroscience.
Please note that in an effort to enhance the distinctions between
workshops, speakers will be asked to commit to only 1-2 workshops. If
need be, workshop chairs will work with overcommitted speakers prior to
final workshop acceptances to reduce overlap.
WORKSHOP DETAILS:
- There will be 4-8 workshops/day, running in parallel.
- Each workshop is expected to draw between 15 and 80 people.
- The workshops will be split into morning (8:00-11:00 AM) and afternoon
(4:30-7:30 PM) sessions.
- Workshops will be held at Snowbird, a ski resort located 30 miles
(typically less than an hour) from the Salt Lake City airport. Buses
from the main conference will be provided.
SUBMISSION INSTRUCTIONS:
Deadline for pre-proposals: October 31, 2014
Deadline for proposals: November 21, 2014
Format: plain text only -- please no attachments, email to:
cosyne15workshops(a)googlegroups.com (Claudia Clopath, Robert Froemke)
PRE-PROPOSALS should include:
- Name(s) and email address(es) of the organizers (no more than 2
organizers per session, please). A primary contact should be designated.
- A title.
- A brief description of 1) what the workshop will address and
accomplish, 2) why the topic is of interest, 3) who is the targeted
group of participants.
- Names of potential invitees, with indication of confirmed speakers.
Preference will be given to workshops with the largest fraction of
confirmed speakers.
- Proposed workshop length (1 or 2 days). Most workshops will be limited
to a single day. If you think your workshop needs 2 days, please explain
why.
- A brief resume of the workshop organizer along with a short list of
workshop-relevant publications (about half a page total).
PROPOSALS should include the list of confirmed speakers in addition to
components required for a pre-proposal.
Workshop organizer responsibilities include coordinating workshop
participation and content, scheduling all speakers and submitting a
final schedule for the workshop program, and moderating the discussion.
Organizers can be speakers but need not speak depending on scheduling
constraints.
SUGGESTIONS: Experience has shown that the best discussions during a
workshop are those that arise spontaneously. A good way to foster these
is to have short talks and long question periods (e.g. 30+15 minutes),
and have plenty of breaks. We recommend fewer than 10 talks.
WORKSHOP COSTS: Detailed registration costs, etc., will be available at
cosyne.org.
Please note: Cosyne does NOT provide travel funding for workshop
speakers. All workshop speakers are expected to pay for workshop
registration fees. Participants are encouraged to register early, in
order to qualify for discounted registration rates. One complementary
(free) organizer registration is provided per workshop. For workshops
with 2 organizers, the free registration can be given to one of the
organizers or split evenly between them.
COSYNE 2015 WORKSHOP CHAIRS: Claudia Clopath (Imperial College London)
and Robert Froemke (New York University).
QUESTIONS: email: cosyne15workshops(a)googlegroups.com
Aug. 20, 2014