Connectionists: Frontiers Research Topic "Detection and Estimation of Working Memory States and Cognitive Functions Based on Neurophysiological Measures"

[Felix Putze]

*** Frontiers research topic - Call for Contributions ***

http://journal.frontiersin.org/researchtopic/5042/detection-and-estimation-of-working-memory-states-and-cognitive-functions-based-on-neurophysiologica 
<http://journal.frontiersin.org/researchtopic/5042/detection-and-estimation-of-working-memory-states-and-cognitive-functions-based-on-neurophysiologica>

We would like to invite contributions to the following research topic in 
Frontiers of Human Neuroscience:
"Detection and Estimation of Working Memory States and Cognitive 
Functions Based on Neurophysiological Measures"

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 http://tinyurl.com/detectWM for more 
details and submission guidelines.

* Please let us know if you are interested to contribute by replying to 
felix.putze at uni-bremen.de <mailto:felix.putze at uni-bremen.de>

* Relevant Dates:
31 January 2017 -   Abstract (strongly recommended, but not mandatory)
30 April 2017   -   Manuscript

* Research Topic Editors:
Felix Putze (University of Bremen, Germany)
Fabien Lotte (INRIA (National Institute for Computer Science and 
Control), Talence, France)
Christian Mühl (German Aerospace Center, Cologne, Germany)
Stephen Fairclough (John Moores University, Liverpool, United Kingdom)

* Topics of Interest:
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:

* 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?
* How can detection and classification of cognitive states be used in 
Brain-Computer Interfaces (BCIs)?
* How can multiple types of features or signal types be combined to 
achieve a more robust classification of working memory load?
* 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?
* How well can insights from offline, average-analysis studies on memory 
activity be transferred to online, single-trial BCIs?
* How can models of working memory load be calibrated to account for 
individual differences, for example in working memory capacity?
* How can approaches from computational cognitive modeling be combined 
with physiological signals to assess memory processes?
* How can working memory load be classified, for example according to 
modality (spatial memory, semantic memory, ...) or type of activity 
(encoding, retrieval, rehearsal, ...)?
* How to design user-independent memory load estimators? Is that even 
feasible?
* How can memory load estimators from a given context or modality be 
transferred to another modality and/or context?
* How can working memory activity be classified to predict the outcome 
of the activity, for example by differentiating successful from failed 
encoding attempts?

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.

-- 
Dr.-Ing. Felix Putze
E-Mail: felix.putze at uni-bremen.de
Phone: +49 421 218 64272

University of Bremen
Cognitive Systems Lab (CSL)
Enrique-Schmidt-Straße 5 (Cartesium)
28359 Bremen

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