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Associative Self-Organizing Map

Johnsson, Magnus LU ; Balkenius, Christian LU and Hesslow, Germund LU (2009) International Conference on Neural Computation (ICNC) 2009 In IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE p.363-370
Abstract
We present a study of a novel variant of the Self-Organizing Map (SOM) called the Associative Self-Organizing Map (A-SOM). The A-SOM is similar to the SOM and thus develops a representation of its input space, but in addition it also learns to associate its activity with the activity of one or several external SOMs. The A-SOM has relevance in e.g. the modelling of expectations in one modality due to the activity invoked in another modality, and in the modelling of the neuroscientific simulation hypothesis. The paper presents the algorithm generalized to an arbitrary number of associated activities together with simulation results to find out about its performance and its ability to generalize to new inputs that it has not been trained on.... (More)
We present a study of a novel variant of the Self-Organizing Map (SOM) called the Associative Self-Organizing Map (A-SOM). The A-SOM is similar to the SOM and thus develops a representation of its input space, but in addition it also learns to associate its activity with the activity of one or several external SOMs. The A-SOM has relevance in e.g. the modelling of expectations in one modality due to the activity invoked in another modality, and in the modelling of the neuroscientific simulation hypothesis. The paper presents the algorithm generalized to an arbitrary number of associated activities together with simulation results to find out about its performance and its ability to generalize to new inputs that it has not been trained on. The simulation results were very encouraging and confirmed the ability of the A-SOM to learn to associate the representations of its input space with the representations of the input spaces developed in two connected SOMs. Good generalization ability was also demonstrated. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Self-organizing map, Neural network, Associative self-Organizing map, A-SOM, SOM, ANN, Expectations, Simulation hypothesis, Cognitive modelling
in
IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE
pages
363 - 370
publisher
Insticc-Inst Syst Technologies Information Control & Communication
conference name
International Conference on Neural Computation (ICNC) 2009
external identifiers
  • wos:000290915300053
  • scopus:77955465677
ISBN
978-989-674-014-6
project
Cognition, Communication and Learning
language
English
LU publication?
yes
id
599698ae-bac6-46d0-be92-1431522ba6d2 (old id 1467770)
date added to LUP
2009-09-24 09:00:51
date last changed
2017-01-01 07:56:15
@inproceedings{599698ae-bac6-46d0-be92-1431522ba6d2,
  abstract     = {We present a study of a novel variant of the Self-Organizing Map (SOM) called the Associative Self-Organizing Map (A-SOM). The A-SOM is similar to the SOM and thus develops a representation of its input space, but in addition it also learns to associate its activity with the activity of one or several external SOMs. The A-SOM has relevance in e.g. the modelling of expectations in one modality due to the activity invoked in another modality, and in the modelling of the neuroscientific simulation hypothesis. The paper presents the algorithm generalized to an arbitrary number of associated activities together with simulation results to find out about its performance and its ability to generalize to new inputs that it has not been trained on. The simulation results were very encouraging and confirmed the ability of the A-SOM to learn to associate the representations of its input space with the representations of the input spaces developed in two connected SOMs. Good generalization ability was also demonstrated.},
  author       = {Johnsson, Magnus and Balkenius, Christian and Hesslow, Germund},
  booktitle    = {IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE},
  isbn         = {978-989-674-014-6},
  keyword      = {Self-organizing map,Neural network,Associative self-Organizing map,A-SOM,SOM,ANN,Expectations,Simulation hypothesis,Cognitive modelling},
  language     = {eng},
  pages        = {363--370},
  publisher    = {Insticc-Inst Syst Technologies Information Control & Communication},
  title        = {Associative Self-Organizing Map},
  year         = {2009},
}