Abstract
Language skills are dominantly implemented in one hemisphere (usually the left), with the pre-frontal areas playing a critical part (the inferior frontal area of Broca and the superior temporal area of Wernicke), but a network of additional regions in the brain, including some from the non-dominant hemisphere, are necessary for complete language functionality. This paper presents a neural architecture built on spiking neurons which implements a mechanism of associating representations of concepts in different modalities; as well as integrating sequential language input into a coherent representation/interpretation of an instruction. It follows the paradigm of temporal binding, namely synchronisation and phase locking of distributed representations in nested gamma-theta oscillations. The functionality of the architecture is presented in a set of experiments of language instructions given to a real robot.
Original language | English |
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Title of host publication | Artificial Neural Networks ICANN 2007 |
Editors | J P Marques de Sá, Luís A Alexandre, Wlodzislaw Duch, Danilo P Mandic |
Place of Publication | Berlin |
Publisher | Springer Verlag |
Pages | 943-952 |
Number of pages | 10 |
ISBN (Print) | 978-3-540-74695-9 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 17th International Conference on Artificial Neural Networks - Porto, Portugal Duration: 9 Sep 2007 → 13 Sep 2007 Conference number: 17 |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 17th International Conference on Artificial Neural Networks |
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Abbreviated title | ICANN 2007 |
Country/Territory | Portugal |
City | Porto |
Period | 9/09/07 → 13/09/07 |
Keywords
- Central Pattern Generator
- Language Instruction
- Oscillatory Model
- Neural Architecture
- Theta Oscillation