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- 19 participants
- 7402 messages
CFP: Advances in Biologically Inspired Reservoir Computing
by John Butcher
Dear all,
We are seeking papers for a special issue on Reservoir Computing, paper
submission deadline is 31st September 2016. For more details see below and
http://ispac.diet.uniroma1.it/cognitive-computation-special-issue/
Many thanks
*Scope and motivation*
*Reservoir computing is a family of techniques for training and analyzing
recurrent neural networks, wherein the recurrent portion of the network is
assigned before the training process, typically via stochastic assignment
of its weights. The non-linear reservoir acts as a high-dimensional kernel
space, which generates complex dynamics characterized by sharp transitions
between ordered and chaotic regimes. The behavior of this model emulates
the functioning of many biological (complex) systems, among which the
brain.*
*Driven by the conceptual simplicity of the reservoir and by links with
neuroscience, computer science and systems’ theory, researchers have
achieved remarkable breakthroughs, both in theory and in practice. These
include dynamical models for explaining the working behavior of reservoirs,
unsupervised strategies for the adaptation of the network, and the design
of unconventional computing architectures for its execution.*
*The recent upsurge of interest in fully adaptable recurrent networks, far
from shifting the attention from the field, has brought renewed interest in
reservoir computing models. In our era of extreme computational power and
sophisticated problems, it is essential to understand the limits and the
potentialities of simple (both deterministic and random) collections of
processing units. For this reason, many fundamental questions remain open,
including the design of optimal task-dependent reservoirs in a stable
fashion, novel investigations on the memory and power capabilities of
reservoir devices, and their applicability in an ever-increasing range of
domains.*
*In light of this, the aim of this special issue is to provide a unified
platform for bringing forth and advancing the state-of-the-art in reservoir
computing approaches. Researchers are invited to submit innovative works on
the theory and implementation of this family of techniques, in order to
provide an up-to-date overview on the field.*
*Topics*
*The topics of interest to be covered by this Special Issue include, but
are not limited to:*
*-Theoretical analyses on the computational power of reservoir computing.*
*-Deep reservoir models.*
*-Techniques for the automatic adaptation of the reservoir and the readout.*
*-Supervised, unsupervised and semi-supervised training criteria.*
*-Non-conventional substrates for the implementations of reservoirs.*
*-Parallel and distributed algorithms for reservoir computing.*
*-Comparisons between reservoir computing and standard (deep) neural
networks.*
*-Reservoir computing for reinforcement learning problems.*
*-Fundamental links between reservoir computing and neuroscientific
findings.*
*-Investigation of reservoir dynamic in a phase space of reduced
dimensionality.*
*-Applicative papers in all areas (including robotics, industrial control,
etc.) are welcome, as well as outstanding surveys on specific aspects of
the field.*
--
Dr John Butcher
Neuroscience Research Associate
School of Life Sciences
Huxley Building
Keele University
UK
ST5 5BG
http://www.keele.ac.uk/lifesci/people/researchassistants/johnbutcher/
July 1, 2016
Postdoctoral Scholar in memory neuroscience using computational/modelling approach
by Sze Chai Kwok
Dear all,
I am looking to employ a post-doc in memory neuroscience using
computational/modelling approach
<http://icn.ecnu.edu.cn/Data/View/1066>. Please spread the word to
interested parties.
Thank you.
*Postdoctoral Scholar in **memory neuroscience**using
computational/modelling approach
*
**
A postdoctoral position is available in the Laboratory of Attention and
Memory (PI: Sze Chai Kwok) in the Institute of Cognitive Neuroscience at
East China Normal University (ECNU) in Shanghai, China. Research will
study the theoretical and neurobiological basis of episodic memory.
Focus will be on the development of cognitive and/or biophysical network
models using cross-species data from both human fMRI (with TMS) and
ECoG, extra-cellular LFP / whole-cell recordings (combined with
ire/reversible intervention) in awake monkeys performing analogous
memory tasks using naturalistic stimuli such as videos. Candidates are
expected to take advantage of the Lab’s unique experimental expertise in
both humans and macaques. The Lab has active collaboration with groups
in UCL, Lyon Neuroscience Research Center, UCLA, and University of Oxford.
Appointment is contingent upon completion of a PhD in computer science,
mathematics, physics or other quantitative disciplines. Relevant
research experience in modelling would be preferable. Salary is
commensurate with experience. This postdoc appointment will run for
initially a period of two years with a flexible starting date.
Interested candidates should initiate informal inquiries and/or send a
CV, a statement of research interests, representative first-author
publications (in one single PDF), and references to: sk5899(a)nyu.edu
<mailto:sk5899@nyu.edu>. Applications are accepted beginning now, and
will continue until the position is filled.
Sze Chai Kwok, DPhil
Associate Professor at East China Normal University
Associated faculty at NYU-Shanghai University
(<http://shanghai.nyu.edu/research/brain/faculty/sze-chai-kwok>http://shanghai.nyu.edu/research/brain/faculty/sze-chai-kwok)
--
------------------------------
5x1000 PER LA NOSTRA RICERCA SANITARIA
<http://www.hsantalucia.it/modules.php?name=News&file=article&sid=999>
la tua firma, il nostro codice fiscale: 97138260589
<http://www.hsantalucia.it/modules.php?name=News&file=article&sid=999>
------------------------------
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July 1, 2016
PhD positions at the CTNSC-UniFe , Ferrara
by Emma Maggiolini
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) at the Istituto Italiano di Tecnologia (IIT) is looking for up to 4 highly motivated, full-time PhD students to work in the core research areas of the Center. The PhD student will work in Ferrara, in an international and multidisciplinary team including biomedical engineers, biologists, computer scientists, psychologists and medical doctors. The PhD positions will cover the following core areas of CTNSC.
DEADLINE: 5TH AUGUST 2016
CTNSC Info [ITA/ENG]: https://www.iit.it/centers/ctnsc-unife
PhD page [ITA/ENG]: http://www.unife.it/studenti/dottorato/concorsi/selection
How to participate to the selection [ITA/ENG]:http://www.unife.it/studenti/dottorato/modulistica/concorsi/32-ciclo/neurosciences.pdf
* Functional investigation of innovative neural interfaces
Evidences show that using electrophysiological techniques is possible to extract information about brain processes and then translate these signals into commands that could be used to recover the lost capabilities. The purpose of the project is to investigate the in-vivo performance of novel devices - both in-house developed or obtained from collaborating laboratories - with a focus on i) enhanced capability to record neural signals; ii) large charge transfer capability to enhance the stimulation performance and iii) small size to minimize inflammatory reaction and gliosis. The candidate will be involved in the development of a stable and functional interface between living neural tissue and probes in rat model. Techniques: in-vivo single-unit recording and epicortical recording , histological techniques and image analysis, microscopy techniques and data analysis. Requirements: The candidate should have a background in one or more of the following fields: biology, medicine, pharmacology or related disciplines. Programming experience is appreciated but not mandatory. Familiarity with electrophysiological and/or microscopy techniques is of advantage.
Contacts: Dr. Emma Maggiolini: emma.maggiolini(a)iit.it<mailto:emma.maggiolini@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it>
* Animal neurophysiology investigation of sensorimotor functions
The discovery of mirror and canonical neurons in monkey premotor and parietal cortex motivated a number of studies on how sensorimotor transformations in the brain may support understanding of action performed by conspecifics. This still constitute a fundamental area of research which is necessary to unravel the basic mechanisms of sensorimotor sharing during social interaction. The candidate working in this core area will investigate, in animal models, the neuronal activity of different (motor and somatosensory) cortical regions, pointing out their topographic organization as well as their role during observation, planning and execution of particular motor acts. Techniques: multidisciplinary approach involving behavioral testing, electrophysiological techniques (intracortical microstimulation, single-unit recording, field potentials recording, electromyography) and histological evaluations. Requirements: The candidate must have a background in the biological fields (biology, medicine, pharmacy and similar). At the end of the three-year period, the Ph.D. student will obtain deep knowledge and experience on in vivo neuroscience.
Contacts: Dr. Riccardo Viaro: riccardo.viaro(a)iit.it<mailto:riccardo.viaro@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it>
* Brain- and multimodal signal- based speech recognition
Our approach to speech recognition is an "analysis by synthesis" approach which assumes that in order to recognize speech we need to understand the causal process (i.e., the speech production process) that stems from brain activity and, through coordinated movements of the vocal tract articulators, produces speech sounds. Such approach is largely motivated by work on speech perception carried out at CTNSC and serves two goals. The first goal is to build automatic speech recognition systems that, as humans do, work in very challenging scenarios (e.g., in the so called "cocktail party" scenario) and are able to learn how to recognize speech without relying on huge amount of carefully annotated speech data (as opposed to "data hungry" current recognition systems). The second goal is to recognize speech from one or more modalities that are within the speech production process, e.g., from brain signal or from visual and kinematic signals of the face and the vocal tract. Techniques: Machine learning, deep neural network, multimodal signal processing. Requirements: The successful candidate will have a degree in computer science bioengineering, physics or related disciplines. A background in machine learning and in speech and language processing.
Contacts: Dr. Leonardo Badino: leonardo.badino(a)iit.it<mailto:leonardo.badino@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it>
* Human Neurophysiology investigation of speech and communication abilities by means of micro-electrocorticography
Historically, the study of speech processing has emphasized a strong link between auditory perceptual input and motor production output. The main aim of this area is to describe the neural systems involved in this sensorimotor representation linking speech perception and production. To this purpose, we use high-density surface microelectrodes for electrocorticography (micro-ECoG) to record electrical signals directly from the cortical surface in patients during awake surgery for low-grade glioma resection. Micro-ECoG is an important electrophysiological signal recording technique that combines high temporal resolution with good spatial localization. Techniques: Micro-ECoG, direct brain electrical stimulation, functional electrical mapping. Requirements: Applicants are expected to have a degree in biomedical engineering or basic/applied/health sciences. Requirements include a knowledge of neural signal processing and/or neuroimaging skills.
Contact: Dr. Luciano Simone: luciano.simone(a)unife.it<mailto:luciano.simone@unife.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it>
* Human Neurophysiology investigation of speech and sensorimotor communication abilities by means of non-invasive techniques
The neural mechanisms underlying speech and sensorimotor communication abilities, during real-life social encounters are mostly unknown. In the classic motor control frame of reference, individuals can be conceived as proactively building models of their action and of their sensory consequence. During interaction, these sensorimotor models can be extended to the social space whereby the control signal becomes the negotiated behavior of other people. The candidate will help in mapping the brain activities responsible for the emergence of such a shared behavior, in the domain of speech (phonological level) or action (upper arm movements). These experiments will inform the next generation of biologically inspired automatic communication recognition systems, essential to augment natural human-human coordination and promote the future of efficient human-robot interaction. Techniques: Electroencephalography (EEG), Electromyography (EMG), body motion kinematics (MoCap), Transcranial Magnetic Stimulation (TMS), transcranial Direct (tDCs) and Alternate (tACs) current stimulation. Requirements: The successful candidate will have a background in neuroscience, experimental psychology, computer science or engineering. Programming skills as well as a strong interest in cognitive neuroscience are fundamental. Electroencephalographic and kinematic data analyses skills are a plus.
Contact: Dr. Alessandro D'Ausilio: alessandro.dausilio(a)iit.it<mailto:alessandro.dausilio@iit.it> Prof. Luciano Fadiga: luciano.fadiga(a)iit.it<mailto:luciano.fadiga@iit.it>
[Description: cid:image001.jpg@01CC9EC9.BA36CB30]
Emma Maggiolini, PhD
IIT@unife, Center for Translational Neurophysiology
Via Fossato di Mortara 17/19, 44121 Ferrara, Italy
Tel. +39 0532 455983
SKYPE ID: lilmay75
e-mail: emma.maggiolini(a)iit.it<mailto:emma.maggiolini@iit.it>
www.iit.it<http://www.iit.it/>
June 30, 2016
CNS2016 tutorial on detailed neuronal modelling
by Ben TN
On Saturday July 2 there is an exciting tutorial at the yearly CNS meeting titled: “Detailed modeling of structure and function at the cellular level”.
This tutorial will be given by Dr. Ben Torben-Nielsen and Dr. Yann Le Franc. If you are at the CNS meeting, this is your chance to get expert insights into the wondrous world of dendrites and axons, their shape and dynamics emerging on them.
The tutorial consists of two parts. In the morning session, Dr. Torben-Nielsen will cover the study of neuronal morphologies; why this is important and how we can study them through analysis and synthesis. In the afternoon session, Dr. Yann Le Franc will discuss the dynamics of ionic conductances. This session focusses on the basics of compartmental modelling and the existing neuroinformatics tools used to advance your workflow in dealing with design, implementation and analysis of detailed models.
Both sessions will contain a hands on component. Please bring a laptop with Python/Scipy/Numpy/Matplotlib installed on it. For windows and mac users, we recommended Anaconda (https://www.continuum.io/why-anaconda) as it is an easy way to install all required Python packages. In the afternoon session, we will also use the NEURON simulator (https://www.neuron.yale.edu/neuron/) Please install this package as well with the Python extensions. We can provide guidelines on the installation of these packages during the breaks.
Also, if you have structural data of neurons and do not know how to start to analyse them, please bring them along and we can help you out!
Kind regards, Ben
Dr. Ben Torben-Nielsen
Senior Lecturer (Assistant professor)
Biocomputation Group
University of Hertfordshire, UK
June 30, 2016
CITEC Summer School 2016 on Adaptive Systems - CALL FOR PARTICIPATION
by elisabetta chicca
--------------------------------------------------------------------------------------------------------------
CALL FOR PARTICIPATION
*CITEC Summer School 2016 on Adaptive Systems*
CITEC, Bielefeld University, Germany, 27th-30th of September 2016
-------------------------------------------------------------------------------------------------------------
Dear young researchers,
The CITEC Summer School 2016 is dedicated to the topic of Adaptive Systems:
https://www.cit-ec.de/summerschool
Adaptivity is the key for coping with tasks or environments whose
properties cannot be completely known beforehand - a frequent
characteristic of real world situations challenging artificial agents, real
robots or biological organisms alike.
We offer you an interdisciplary mesh of courses held by an
interdisciplinary team of researchers from the Excellence Center Cognitive
Interaction Technology to acquaint you with current ideas and research
about adaptivity, its foundations, analysis and its synthesis in artificial
systems.
This year's topic is organized into four major thematic areas:
(A) Adaptive Motion
(B) Multimodal Learning and Social Interaction
(C) Deep Approaches to Relevance Learning
(D) Embodiment and Neuromorpic Learning Systems
Most of the courses provide the opportunity for hands-on experience,
involving experiments or data sets captured in CITEC research labs. You are
asked to choose one out of this four. They are complemented by talks of
leading invited and local experts.
Invited speakers include:
-
*Ralph Etienne-Cummings**, *Johns Hopkins University, USA
-
*Kerstin Fischer**, *University of Southern Denmark
-
*Christian Igel*, University of Copenhagen, Denmark
-
*Andrew B. Schwartz*, University of Pittsburgh, USA
Beyond the courses and the talks of the speakers, attendance will provide
you with ample opportunities for discussions, exchange of ideas with your
peers and the participating researchers, and for learning more about CITEC.
The Summer School continues a series of highly successful CITEC Summer
Schools started in 2010 and covering the topics of *The Structure of
Cognitive Motion: From Analysis to Synthesis* (2010), *Mechanisms of
Attention - From Experimental Studies to Technical Systems* (2011), *Verbal
and Non-verbal Interaction: From Experiments to Implementation
(*2012), and *Continuous
Learning in Living and Artificial Systems* (2013) so far.
To apply visit https://www.cit-ec.de/summerschool/application and indicate
your area of choice from the above area list (A)-(D). Applications will be
open at least until July 29th.
For more information, visit http://www.cit-ec.de/summerschool
Contact us for questions: summerschool(a)cit-ec.uni-bielefeld.de
June 30, 2016
POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo
Applications for an NIH-funded post-doctoral position are invited for the
Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at
Brown University, Providence, RI, USA. The positions are for the
development of data-driven stochastic models of multiscale neural dynamics
in human epilepsy.
Data consist of simultaneous intracortical microelectrode array recordings
of ensembles of single neurons and local field potentials, as well as
ECoGs, during seizure and non-seizure states in individuals with
pharmacologically resistant epilepsy. The project involves a collaboration
between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General
Hospital, Harvard Medical School, Boston). The ideal candidate will have a
strong background in computational/theoretical neuroscience, modeling of
stochastic neural dynamics and experiments involving closed-loop electrical
stimulation.
Related recent publications can be found on the Truccolo lab website (
http://www.truccololab.com/
<http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be
addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications
including a CV, statement of research interests, and the names and full
contact details of three referees should be sent to
wilson_truccolo(a)brown.edu.
--
Wilson Truccolo, Ph.D.
Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational
Neuroscience
Department of Neuroscience & Institute for Brain Science, Brown University
Lab website: http://www.truccololab.com/
June 28, 2016
Postdoctoral position in graph signal processing for monitoring spatio-temporal dynamics of brain activity
by Nicolas Farrugia
Postdoctoral position in graph signal processing for monitoring
spatio-temporal dynamics
of brain activity
Telecom Bretagne, Brest, France
P.I. : Dr. Vincent Gripon
Context
The present proposal is funded by the Neural Communication project, which
is part of the
Labex CominLabs. This project started in November 2015 for a duration of
two years as a
continuation of the Neural Coding project, also founded by the Labex
CominLabs from November
2012 to October 2015. The main goal of the project is to propose models for
communications
between cortical areas in the brain and to develop novel methodologies for
identifying
spatio-temporal patterns in brain activity.
The project takes advantage of the expertise of two internationnaly
renowned teams. The first
one is led by Fabrice Wendling, director of research at LTSI in Rennes, and
aims at proposing
innovative methods for extracting connectivity graphs from EEG signals. The
second one
(host team) is led by Claude Berrou, professor at Télécom bretagne, and
aims at proposing
novel models for information processing in neural networks. The host team
is also active in
the new field of graph signal processing. The host team is composed of
three permanent
researchers as well as two postdocs and six PhD students.
The proposed postdoctoral position is meant to take place in Télécom
Bretagne, in Brest.
The candidate is expected to work in collaboration with people involved in
the ERC project
Neucod led by Claude Berrou.
Proposal
It is now well-known that brain activity is structurally organised into
functionally connected
networks. Using functional MRI on subjects at rest, resting state networks
can be defined as
sets of spatially distinct brain areas with temporally correlated activity.
While having been
extensively studied over long time periods (e.g. 6 minutes), such networks
are now investigated
using dynamic analysis with a temporal resolution of a few dozens of
seconds. Other works are
interested in applying similar methodologies to monitoring the dynamics
when performing cognitive
tasks, as it has been shown that task-related functional networks are
spatially similar to
resting-state networks.
Recently, a novel framework has been developed that aim at exploiting
graphical structures
of the underlying topology the signals are projected onto, called graph
signal processing.
As a result, it is possible to define ad hoc harmonic operators including
convolutions and
wavelets. A major advantage of this approach is the ability to detect
similar patterns in
distinct regions of the network, despite the inhomogeneity of the network
topology. We are
interested in applying graph signal processing to brain imaging to study
special temporal
dynamics, both in the resting state and task-related networks using EEG and
fMRI.
Details
The head of the project is Vincent Gripon, permanent researcher with
Télécom Bretagne.
Please send your curriculum vitae, contacts for two references, as well as
a cover letter
to vincent.gripon(a)telecom-bretagne.eu.
Expected disposable salary is about 30k{\euro} per year, depending on
experience. The
position starts in September 2016 (or sooner) and finishes in November
2017. The postdoc
position is accompanied with overheads for travel expenses covering the
participation to
international conferences.
The candidate must have defended a Ph.D. related to neuroscience,
neuroimaging and
familiar with signal processing. Programming skills are essential to this
position.
The deadline for applying to the position is July 17th.
June 28, 2016
EEG and Brain Stimulation Postdoctoral Position in Frohlich Lab at UNC-Chapel Hill
by Sankar Alagapan
We are seeking to fill one postdoctoral position in the Frohlich Lab with a
candidate who has a proven track record of EEG data analysis.
*About this position*: We are collecting high-density EEG from multiple
clinical trials in which we evaluate the effect of non-invasive brain
stimulation on brain network dynamics and behavior. We are looking for a
passionate scientist who is interested in taking charge of the data
analysis (EEG, cognitive tasks, clinical scales) to validate network
targets for brain stimulation in psychiatry and more broadly the
network-level dysfunction of psychiatric disorders such as depression and
schizophrenia. The applicant will be embedded in a vibrant research group
of around 20 scientists and will receive (as needed and desired) training
in transcranial current stimulation, network neuroscience, and clinical
research. The position will include working closely with the study
coordinators who run the clinical trials.
*About the Frohlich Lab*: We seek to revolutionize the fields of psychiatry
and neurology by studying brain network dynamics and applying our
discoveries to the rational design of novel brain stimulation treatments.
Our research integrates neurobiology, engineering, and medicine to
identify, engage, and validate network targets for brain stimulation. We
(1) perform computer modeling, (2) combine electrophysiology, imaging,
brain stimulation, and behavioral assays in animal models, (3) record and
modulate human brain activity, and (4) study new treatments in randomized
controlled clinical trials. This position is aligned with items (3) and (4)
of our mission.
*About UNC at Chapel Hill*: We are a vibrant and nationally top-rated
research institution with a strong track record in (translational)
neuroscience. UNC has been repeatedly ranked as one of the best places to
do a postdoc. Quality of life is very high, cost of living is low.
*About the successful candidate*: You have a PhD in neuroscience (or a
related discipline) and a track record of first class science demonstrated
by first author peer-reviewed scientific articles. Strong background and
experience with human EEG data analysis and Matlab is required. Experience
in source localization and functional connectivity analysis using EEG will
be advantageous. Experience with clinical trials or working with patient
populations is a plus. Please send your CV and a brief statement of
research interest toflavio_frohlich(a)med.unc.edu. Also, please have two
letters of recommendation directly submitted to the same email address.
Note: Please only submit an application if your background matches the
required expertise for this position.
We are looking forward to meeting passionate and hard-working applicants
who are ready for this cutting-edge project and for joining the Frohlich
Lab family. Applications will be reviewed until the position is filled.
Start date is flexible but the earlier the better. UNC is an equal
opportunity employer.
June 28, 2016
Call for Participation (ICDL-EPIROB 2016): WS on Development of Body Representations
by Matej Hoffmann
*Call for papers: Interdisciplinary workshop on the development of body
knowledge in humans and machines*
19^th September 2016, Cergy-Pontoise / Paris
http://bodyschemaworkshop.blogspot.it
<http://bodyschemaworkshop.blogspot.it/>
held in the framework of ICDL-EPIROB 2016 conference:
http://www.etis.ensea.fr/neurocyber/ICDL-EPIROB2016/home.php
Following the previous workshops on the development of body
representations in humans and robots at ICDL-EPIROB, we have the
pleasure to announce a forthcoming workshop in Cergy-Pontoise / Paris on
the 19^th September 2016.
The aim of this workshop is to spark collaboration between roboticists
and developmental psychologists in order to address the origins of the
sensorimotor maps that underlie own body representations in both infants
and robots. The development of infants’ body knowledge is a primary
object of discovery starting before birth. This construction ultimately
enables the infant to efficiently interact with the environment. The
specific goal of the organizers is to explore the possibility of
developing robotic models inspired by the development of human infant
body representations.
Presentations will consider body knowledge acquisition from
sensorimotor, neural and computational perspectives. After the
presentations, the discussion will aim at establishing an integrative
framework for understanding a) the development of body knowledge in
infants, b) the mechanisms that underlie body knowledge acquisition and
c) how robots can be used to replicate developmental patterns and
progressions that have been found in human infants. On the one hand
such robots can become new modeling tools for empirical sciences –
expanding the domain of computational modeling by anchoring it to the
physical environment and a physical body. On the other hand, robot
controllers endowed with multimodal whole-body awareness typical of
humans should increase robots’ autonomy.
___________________________________________________________________________
We invite contributions concerning the development of body knowledge in
humans and/or machines. Please submit a one-page abstract describing
your poster by *the 5th of August 2016* to the following address:
*icdlbodyworkshop(a)gmail.com*
Presenters of a poster will be expected to be present on the 19th of
September 2016 for a teasers-session and for the poster session. During
the teasers-session each presenter will introduce their poster in a
2-minute oral presentation (with 2-3 pdf slides). During the poster
session they will then have the opportunity to explain their poster and
to hand out any leaflets or other information materials they have
available for viewers of their poster.
*___________________________________________________________________________*
*Important dates *
Abstract submission: August 5, 2016.
Notification of acceptance: August 15, 2016.
Submission of 2-3 slides (pdf): September 15, 2016.
Workshop day: September 19, 2016.
___________________________________________________________________________
*Speakers*
* Prof. Jeffrey Lockman, PhD. Department of Psychology, Tulane
University, USA.
* Kevin O’Regan, PhD. Research scientist, Laboratoire Psychologie de
la Perception, Paris Descartes University, Paris, France.
* Matej Hoffmann, PhD. Researcher, iCub Facility, Istituto Italiano di
Tecnologia, Italy.
* Prof. Minoru Asada, PhD. Research director, Division of Cognitive
Neuroscience Robotics, Institute for Academic Initiatives, Osaka
University, Japan.
* Andrew Bremner, PhD. Reader in psychology and head of department,
Goldsmiths University, London, UK.
* Gianluca Baldassare, PhD. Researcher, Institute of Cognitive
Sciences and Technologies, Italian National Research Council, Rome,
Italy.**
*____________________________________________ *
**
*Venue*
Cergy-Pontoise University:
http://www.etis.ensea.fr/neurocyber/ICDL-EPIROB2016/home.php
___________________________________________________________________________
*Website*
Please check the website
<http://bodyschemaworkshop.blogspot.fr/>http://bodyschemaworkshop.blogspot.fr/for
updated information about the workshop!
___________________________________________________________________________
*Organizers*
Eszter Somogyi, PhD
Postdoc researcher, Laboratoire Psychologie de la Perception, Paris
Descartes University, France
Matej Hoffmann <https://sites.google.com/site/matejhof/home>, PhD
Researcher, iCub Facility, Istituto Italiano di Tecnologia, Italy
Lorenzo Jamone <http://lorejam.blogspot.pt/>, PhD
Associate researcher, VisLab, Instituto de Sistemas e Robotica, Lisbon,
Portugal
___________________________________________________________________________
*Contact information*
Eszter Somogyi, PhD
Postdoc researcher, Laboratoire Psychologie de la Perception, Paris
Descartes University, France
esomogyi(a)gmail.com <mailto:esomogyi@gmail.com>
--
Matej Hoffmann, PhD
Postdoctoral Researcher
iCub Facility
Istituto Italiano di Tecnologia
Via Morego, 30
16163 Genoa, Italy
https://sites.google.com/site/matejhof/home
June 28, 2016
Computational Modeling of Autism: Roche Internship, Basel Switzerland
by Christopher Chatham
Please see below for information about a 9 month internship in Basel,
Switzerland, in statistical and computational modeling of ASD. The
internship should start before October 2016. Please forward to any PhD
students who may be interested in this opportunity.
About the position:
This position will be based in the Biomarkers and Clinical Imaging Group of
the Neuroscience Translational Medicine Section of Roche in Basel,
Switzerland. The Biomarkers and Clinical Imaging Group uses cutting edge
genetic, molecular, neurophysiological, imaging (PET and MRI),
electrophysiology and cognitive methodologies to understand diseases and
support drug development efforts in the neuroscience field. The
Translational Medicine group oversees the discovery, research and
development of novel treatments for diseases in neurological, psychiatric
and neurodevelopmental fields.
The RiSE program (Roche Internships for Scientific Exchange) offers the
most talented postgraduate students the opportunity to enhance their
competencies and to gain valuable work experience with us.
During the internship your tasks will include:
- Statistical analyses of behavioral data from ASD patients
- Mathematical modelling of normative behavioral data
- Participating in an international workgroup to develop estimates of
clinically meaningful change on a clinical symptom rating scale
- Attending talks sponsored by groups across the company and Biomarker
group meetings
- Building your professional network across the company
Apply here:
http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-3233464408&locale=…
June 28, 2016