Conscious multisensory integration: Introducing a universal contextual field in biological and deep artificial neural networks
- Submitting institution
-
University of Wolverhampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1669
- Type
- D - Journal article
- DOI
-
10.3389/fncom.2020.00015
- Title of journal
- Frontiers in Computational Neuroscience
- Article number
- ARTN 15
- First page
- 15
- Volume
- 14
- Issue
- -
- ISSN
- 1662-5188
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The CMI theory has led to several novel projects, including Mindful, Energy-Efficient Computing and Electronic Systems (MEECES), that is focused on developing a transformative highly energy-efficient mindful processing unit (MPU), which seamlessly mimics the fundamental structure and function of the pyramidal cell to acquire energy-efficient cooperative computing. MEECES project partners include NASA, Caltech, and Edinburgh. With NASA we are exploiting the properties of MPU to develop next-generation human-like multimodal (MM) Mars rovers to reduce rover’s dependence on humans, given the very long delays involved in sending and receiving messages which is a major bottleneck to speed-up Mars exploration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
