f**d
发帖数: 768 | 1 1. Two year postdoctoral position in computational neuroscience
at Boston University. (Mark Kramer)
2. computational neuroscience post-doctoral opportunity in
Boston (Stephanie Jones)
3. CIRM Semester on Theoretical, Mathematical and Computational
Neuroscience (Stephen Coombes)
4. PhD studentship, University of Genoa, Italy; brain networks
from deep brain electrophysiological data (Andrea Schenone)
5. Re: Connectionists: Neuroscience software survey: What is
popular, what has problems? results/data/paper (Yaroslav
Halchenko)
6. PhD scholarship on Bayesian Inference in Spiking Neural
Networks (Andre Van Schaik)
7. Postdoc position at the Donders Institute Nijmegen
(Christian F. Beckmann)
8. Neuroinformatics 2011 in Boston (Pontus Holm)
9. Job opportunities at the Center for Cognition and Brain
Disorders at Hangzhou Normal University, China
(=?GB2312?B?1K2x8g==?=)
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Message: 1
Date: Fri, 24 Jun 2011 08:51:35 -0400
From: Mark Kramer
Subject: [Comp-neuro] Two year postdoctoral position in computational
neuroscience at Boston University.
To: c********[email protected]
Message-ID:
Content-Type: text/plain; charset="us-ascii"
Dear Colleagues,
Two year postdoctoral researcher position in multiscale analysis and
modeling of epilepsy available at Boston University.
A multi-year postdoctoral researcher position in computational
neuroscience is available to analyze and model multiscale voltage
recordings from human patients with epilepsy. The researcher will
work primarily with Professors Mark Kramer and Uri Eden in the
Department of Mathematics and Statistics at Boston University, and focus
on two central aims: 1) Time series analysis of voltage activities
recorded across multiple spatial scales (from single neuron spikes, to
local field potentials, to electrocortiogram data), and 2) Development
of techniques to constrain multiscale computational models directly from
time series data. Other related projects will also be available,
depending on the researcher's background and interests.
The project is highly interdisciplinary and will involve frequent
interactions with clinical collaborators at Massachusetts General
Hospital and other computational scientists. Experience in
statistical signal processing (e.g., spectral analysis, Kalman filter)
and computer programming suggested, and knowledge of neuroscience and
dynamical systems preferred, although not essential. Please contact Mark
Kramer or Uri Eden (see links below) for more information. Boston
University offers a vibrant community of computational neuroscience
faculty and students, and many opportunities for collaboration within
and outside the University.
The preferred start date is September 1, 2011.
Related links:
http://www.bu.edu/neuro/graduate/computational-neuroscience/
http://math.bu.edu/people/mak/
http://math.bu.edu/people/tzvi/
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Message: 2
Date: Sat, 25 Jun 2011 10:33:02 -0400
From: Stephanie Jones
Subject: [Comp-neuro] computational neuroscience post-doctoral
opportunity in Boston
To: c********[email protected]
Message-ID: <0**********************************[email protected]>
Content-Type: text/plain; charset="windows-1252"
Computational neuroscience post-doc opportunity
The Mass General Hospital Martinos Center for Biomedical imaging has
an open post-doctoral opportunity for a computational neuroscientist
to work with Drs Stephanie Jones, Matti Hamailainen and Steve
Stufflebeam developing and analyzing biophysically principled
computational neural models to study MEG/EEG measured brain rhythms
and their coordination in health and diseases. The recruited post-doc
will work among larger network of Boston area scientists at BU, MIT,
Brown and Tufts, funded by the NSF as the “Cognitive Rhythms
Collaborative” who have begun to bring together various theoretical
and experimental techniques to advance our understanding of the brain
dynamics. Please see http://cbd.bu.edu/positions.htm for participating
scientists. The post-doc hired under this ad will work closely with
human imaging experimentalists at MGH to develop and analyze
biophysically based dynamical systems models of cognitively relevant
circuits to study the origin and functions of neural rhythms. The
post-
doc will have some flexibility in projects within the interests of the
MGH group including mechanisms of attention and perception, aging and
development, and neural abnormalities in epilepsy and Parkinson’s
disease.
Interested candidates should send a CV, statement of research
interests, and three letters of recommendation sent to s*****[email protected].
harvard.edu
The information in this e-mail is intended only for the person to whom
it is
addressed. If you believe this e-mail was sent to you in error and the
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HelpLine at
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dispose of the e-mail.
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Message: 3
Date: Mon, 27 Jun 2011 09:53:34 +0100
From: Stephen Coombes
Subject: [Comp-neuro] CIRM Semester on Theoretical, Mathematical and
Computational Neuroscience
To: c********[email protected]
Message-ID:
Content-Type: text/plain; charset=ISO-8859-1; format=flowed; delsp=yes
CIRM Semester on Theoretical, Mathematical and Computational
Neuroscience
SEMESTER ON THEORETICAL, MATHEMATICAL AND COMPUTATIONAL NEUROSCIENCE
CIRM Marseille
October - December 2011
http://www-sop.inria.fr/manifestations/SemesterCirm/
Neuroscience and its applications are greatly developing world-wide
and Europe is one of the important contributors to the advancement of
this discipline. Because of the variety of topics that it has to
address, it is characterized by a very broad inter-disciplinarity and
requires the cooperation of actors in several fields of knowledge.
In this context, the need for developing new theoretical,
mathematical, and computational tools can be clearly identified and
must be addressed. The purpose of this semester is to present some of
the relevant modern mathematical tools through short courses and to
explore several facets of the current research through workshops.
WORKSHOPS
03-07/10/2011 - Organizers : N. Brunel, O. Faugeras
Mean-field methods and multiscale analysis of neuronal populations
http://lcn.epfl.ch/Workshops/Marseille2011/MMMA_Oct/MMMA_Marsei
htm
24-28/10/2011 - Organizers : P. Bressloff, S. Coombes
Spatio-temporal evolution equations and neural fields
http://lcn.epfl.
ch/Workshops/Marseille2011/SpatioTemporalEvolution/STE_Marseille2011.
htm
07-11/11/2011 - Organizers : N. Brunel, W. Gerstner, J. Sjostrom, H.
Markram
Learning and Plasticity
http://lcn1.epfl.ch/LP.html
5-9/12/2011- Organizers : V. Jirsa, G. Deco
Mathematical Models of Cognitive Architectures
http://lcn.epfl.ch/Workshops/Marseille2011/MMCA/MMCA_Marseille2
Registration from June 6th
The registration will follow a first-come first-served policy until
all available slots are filled
Program committee: P. Bressloff (University of Utah), N. Brunel
(Université Paris 5), P. Chossat (CNRS - INRIA), O. Faugeras (ENS -
INRIA), W. Gerstner (EPFL), V. Jirsa (CNRS - Université de la
Méditerranée).
-------------------------------------------------------
Stephen Coombes
Professor of Applied Mathematics
School of Mathematical Sciences
Nottingham, UK
http://www.maths.nott.ac.uk/~sc/
The Journal of Mathematical Neuroscience
http://www.mathematical-neuroscience.com/
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legislation.
------------------------------
Message: 4
Date: Mon, 27 Jun 2011 14:39:12 +0200
From: Andrea Schenone
Subject: [Comp-neuro] PhD studentship, University of Genoa, Italy;
brain networks from deep brain electrophysiological data
To: C********[email protected]
Message-ID: <4**************[email protected]>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Applications are invited for a PhD studentship starting January 2012
at
the Bioengineering Lab http://www.bio.dist.unige.it of the
University
of Genoa (Italy). The studentship will have 3 year duration.
Research activities will concern the study of brain networks, drawn from
both structural and functional data, and the analysis of their both
effective and functional connectivity which is a crucial task to fully
understand the difference between descriptions of patterns of neural
activity and possible explanations of their origins.
The project will deal with functional deep brain electrophysiological
data of either spontaneous and evoked response acquisitions all together
with structural imaging information (MRI/CT). The aim is to build
integrate tools to visualize, analyze and classify brain networks for
both inter and intra subjects studies. There are several non-trivial
problems that should be addressed within this scenario, like the
reduction of volume conduction artifacts and the choice of the
statistical paradigm used for analysing connectivity, either extending
existing tools and developing new ones.
Applicants should have a Master's degree, and have a background in
biongineering, computer science, physics or related fields.
Programming
experience in C/C++ and/or Matlab would be beneficial but ability and
desire to learn is essential. Ideally, applicants should have both
knowledge of non-linear time series analysis techniques applied to EEG
data and graph theory. The candidate should be able to demonstrate
independence and curiosity.
Applicants are encouraged to contact Dr Marco Fato (m********[email protected])
prior to their application by providing a short statement of their
research interests and a summary of qualifications. A PhD research
proposal will need to be prepared as part of the formal application.
Deadline for applications will be on August 2011.
------------------------------
Message: 5
Date: Mon, 27 Jun 2011 23:56:29 -0400
From: Yaroslav Halchenko
Subject: [Comp-neuro] Re: Connectionists: Neuroscience software
survey: What is popular, what has problems? results/data/paper
To: c************[email protected]
Message-ID: <2********************[email protected]>
Content-Type: text/plain; charset=us-ascii
We would like to thank all participants of the survey. As promised,
final results and all data are now available:
http://neuro.debian.net/survey/2011/
Enjoy,
On Tue, 17 May 2011, Yaroslav Halchenko wrote:
> Dear neuroscience researchers and their IT staff
>
> We invite you to participate in a survey on software usage and
computing
> environments in neuroscience research. It will take no more than
five
> minutes to fill it out. Immediately after sending your answers you
will
> get to see a summary of how other participants have responded before.
> This data will eventually be made available to software vendors and
> distributors to determine advantages and issue of popular computing
> environments in neuroscience research.
> | s*********y
发帖数: 1189 | 2 mostly computational neuroscience | g**********t
发帖数: 475 | 3 plos one据说接受率超过70%。negative results可以考虑一下。 |
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