A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation
- Submitting institution
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The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1477
- Type
- D - Journal article
- DOI
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10.1007/s00542-013-2020-8
- Title of journal
- Microsystem Technologies: micro and nanosystems information storage and processing systems
- Article number
- -
- First page
- 729
- Volume
- 20
- Issue
- 4-5
- ISSN
- 0946-7076
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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https://doi.org/10.1007/s00542-013-2020-8
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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9
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The sensing and interpretation of complex mixtures of molecules is still outperformed by nature. This paper describes the culmination of a 2.8 MEuro Future and Emerging Technologies EU RTD project NEUROCHEM between 7 European research institutions to apply the latest understanding of biological sensing and neural processing principles to microelectronics as real-time technological solutions to a variety of unsolved machine olfaction problems. Notably reproducing mammalian performance in segmenting complex mixtures into learnt 'odour objects' through the integration of real-time neuromorphic models of olfactory bulb and piriform cortex that can be widely applied to robotics, for example in chemical source localisation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -