Output details
11 - Computer Science and Informatics
University of Plymouth
Article title
A neuroanatomically grounded Hebbian-learning model of attention-language interactions in the human brain.
Type
D - Journal article
Title of journal
Eur J Neurosci
Article number
-
Volume number
27
Issue number
2
First page of article
492
ISSN of journal
1460-9568
Year of publication
2008
Number of additional authors
2
Additional information
<24> This paper reports simulation results of a large-scale neural network model that at the time of publication was unparalleled in complexity and neural realism. The paper attracts significant citations. Predictions of the model led to new experiments in Pulvermueller's lab. This work led to the £1.6M EPSRC grant BABEL for novel experiments and an extended model implemented on special purpose spiking neuron hardware (SpiNNaker, Furber, Manchester) to be used in an iCub robot (Cangelosi, PU). This model was included in the forthcoming “Handbook of Computational Neuroscience” (MIT Press; edited by Arbib).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
36
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
