Network- and Information-Theoretic Approaches in the Study of Action and Perception
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 667
Special Issue Editors
Interests: computational neuroscience; neural data science; motor control; decision making; multisensory integration; neuroimaging; brain/body machine interface; biomedical signal processing; machine learning
Special Issue Information
Dear Colleagues,
Human and animal adaptive behaviour is underpinned by the processing of information to translate sensory inputs from the external world into effective actions. From a computational perspective, the study of the neural mechanisms underlying this complex operation can be facilitated using mathematical tools that quantify information processing in biological systems and characterise the dynamic relations between system elements (molecules, cells, brain areas, etc.). Information and network theories provide useful measures and analytical approaches to tackle such a research problem. Recent advances in these fields and their joint application to model neurobiological signals and systems hold promise for a better understanding of the perception–action cycle and the neurobiological processes involved from both theoretical and experimental viewpoints.
This Special Issue aims to be a forum for the presentation of information and/or network theory-based approaches to study perception and action across biological systems. We welcome the submission of novel techniques, algorithms, or models as well as the application of existing approaches to experimental neurobiological and behavioural data.
Dr. Ioannis Delis
Guest Editor
Dr. David O’Reilly
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- synergy
- redundancy
- encoding
- decoding
- brain networks
- muscle networks
- interaction information
- population coding
- EEG
- EMG
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