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<p>*** Frontiers research topic - Call for Contributions ***<br>
<br>
<a
href="http://journal.frontiersin.org/researchtopic/5042/detection-and-estimation-of-working-memory-states-and-cognitive-functions-based-on-neurophysiologica"
rel="noreferrer" target="_blank">http://journal.frontiersin.<wbr>org/researchtopic/5042/<wbr>detection-and-estimation-of-<wbr>working-memory-states-and-<wbr>cognitive-functions-based-on-<wbr>neurophysiologica</a><br>
<br>
We would like to invite contributions to the following research
topic in Frontiers of Human Neuroscience:<br>
"Detection and Estimation of Working Memory States and Cognitive
Functions Based on Neurophysiological Measures"<br>
<br>
The objective of the research topic is to publish a focused
collection of open-access articles that represent the state of the
art in detection and estimation of working memory and other
cognitive functions based on neurophysiological signal
classification or analysis and aimed at the application of such
classified states in human-computer interaction. We specifically
invite contributions that deal with the detection of cognitive
states in complex scenarios as they are found in real world
applications. Please refer to <a
href="http://tinyurl.com/detectWM" rel="noreferrer"
target="_blank">http://tinyurl.com/detectWM</a> for more details
and submission guidelines.<br>
<br>
* Please let us know if you are interested to contribute by
replying to <a href="mailto:felix.putze@uni-bremen.de">felix.putze@uni-bremen.de</a><br>
<br>
* Relevant Dates:<br>
31 January 2017 - Abstract (strongly recommended, but not
mandatory)<br>
30 April 2017 - Manuscript<br>
</p>
<p>* Research Topic Editors:<br>
Felix Putze (University of Bremen, Germany)<br>
Fabien Lotte (INRIA (National Institute for Computer Science and
Control), Talence, France)<br>
Christian Mühl (German Aerospace Center, Cologne, Germany)<br>
Stephen Fairclough (John Moores University, Liverpool, United
Kingdom)<br>
</p>
<p>* Topics of Interest:<br>
In this research topic, we are looking for: (1) studies in
complex, realistic scenarios that specifically deal with cognitive
states or cognitive processes (memory-related or other), (2)
classification and estimation of cognitive states and processes
like working memory activity, and (3) applications to
Brain-Computer Interfaces and Human-Computer Interaction in
general. Central open research questions which we would like to
see approached in this research topic comprise:<br>
<br>
* How can working memory load be quantified with regression or
classification models which are robust to perturbations common to
realistic recording conditions and natural brain signal
fluctuations?<br>
* How can detection and classification of cognitive states be used
in Brain-Computer Interfaces (BCIs)?<br>
* How can multiple types of features or signal types be combined
to achieve a more robust classification of working memory load?<br>
* How can working memory activity be differentiated from other
types of cognitive or affective activity which co-vary with, but
are not related to memory?<br>
* How well can insights from offline, average-analysis studies on
memory activity be transferred to online, single-trial BCIs?<br>
* How can models of working memory load be calibrated to account
for individual differences, for example in working memory
capacity?<br>
* How can approaches from computational cognitive modeling be
combined with physiological signals to assess memory processes?<br>
* How can working memory load be classified, for example according
to modality (spatial memory, semantic memory, ...) or type of
activity (encoding, retrieval, rehearsal, ...)?<br>
* How to design user-independent memory load estimators? Is that
even feasible?<br>
* How can memory load estimators from a given context or modality
be transferred to another modality and/or context?<br>
* How can working memory activity be classified to predict the
outcome of the activity, for example by differentiating successful
from failed encoding attempts?<br>
<br>
Additionally, we are also interested in other relevant submissions
related to the research topic. We also sincerely invite
manuscripts dealing with applications of memory-related interfaces
(e.g. adaptive human-computer interfaces for memory-intensive
tasks). Comprehensive review articles which critically reflect the
state-of-the-art on a certain aspect of the topic are also welcome.<br>
</p>
<pre class="moz-signature" cols="72">--
Dr.-Ing. Felix Putze
E-Mail: <a class="moz-txt-link-abbreviated" href="mailto:felix.putze@uni-bremen.de">felix.putze@uni-bremen.de</a>
Phone: +49 421 218 64272
University of Bremen
Cognitive Systems Lab (CSL)
Enrique-Schmidt-Straße 5 (Cartesium)
28359 Bremen</pre>
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