Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 878
- Type
- D - Journal article
- DOI
-
10.1016/j.neuropsychologia.2016.07.004
- Title of journal
- Neuropsychologia
- Article number
- -
- First page
- 111
- Volume
- 98
- Issue
- -
- ISSN
- 0028-3932
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 4 - Psychology, Psychiatry and Neuroscience
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 36
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes how biologically realistic large-scale brain models can be used to explain truly high-level cognitive function. The significance of this work is that it models language learning and symbol grounding by including perceptual and semantic cortical processes in computational learning experiments that are successfully tested against neurobiological data. The model has been implemented on neuromorphic hardware (SpiNNaker) to control an iCub robot in the EPSRC funded BABEL project together with Cangelosi and Furber (Uni Manchester).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -