Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2976
- Type
- D - Journal article
- DOI
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10.1109/tnnls.2018.2816518
- Title of journal
- IEEE Transactions on Neural Networks and Learning Systems
- Article number
- -
- First page
- 6132
- Volume
- 29
- Issue
- 12
- ISSN
- 2162-2388
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- 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
- No
- Number of additional authors
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9
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the world first attempt to use the SpiNNaker neuromorphic system to control the iCub humanoid robot, solving real-world task of object-specific attention. The aim was to use a computational neuroscience model of attention implemented with a spiking neural network on a real-time system. It is the main output of the EPSRC £1.6M project BABEL (EPSRC Grant EP/J004561/1). This project resulted from close collaboration with F Pulvermueller, leading world scientist in computational neuroscience (based at Cambridge MRC Cognition and Brain Science unit, then at Free Berlin University).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -