Jörgen Eriksson
Kristoffer Holmqvist
Mikael Graffner
Email: publicera@lub.lu.se
+46 (0)46 222 0326
Your most visited
- Sorry, this tool will only work with Javascript available.
Theses, dissertations and research publications (including journal articles, conference abstracts and books) from Lund University are collected in this database. Where possible, the option to download a full text document is available. It is also possible to search for Lund University student theses in the student theses database.
| Title | Internal Simulation of Perceptions and Actions |
| Author/s | Magnus Johnsson, David Gil |
| Department/s |
Cognitive Science
|
| Full-text | Full text is not available in this archive |
| Alternative location (URL) | http://dx.doi.org/10.1007/978-... Restricted Access (Alternative Location) |
| Publication/Series | From Brains to Systems: Brain-Inspired Cognitive Systems 2010 |
| Publishing year | 2011 |
| Volume | 718 |
| Pages | 87 - 100 |
| Document type | Book chapter |
| Language | English |
| Publisher | Springer |
| Status | published |
| Abstract English | We present a study of neural network architectures able to internally simulate perceptions and actions. All these architectures employ the novel Associative Self-Organizing Map (A-SOM) as a perceptual neural network. The A-SOM develops a representation of its input space, but in addition also learns to associate its activity with an arbitrary number of additional (possibly delayed) inputs. One architecture is a bimodal perceptual architecture whereas the others include an action neural network adapted by the delta rule. All but one architecture are recurrently connected. We have tested the architectures with very encouraging simulation results. The bimodal perceptual architecture was able to simulate appropriate sequences of activity patterns in the absence of sensory input for several epochs in both modalities. The architecture without recurrent connections correctly classified 100% of the training samples and 80% of the test samples. After ceasing to receive any input the best of the architectures with recurrent connections was able to continue to produce 100% correct output sequences for 28 epochs (280 iterations), and then to continue with 90% correct output sequences until epoch 42. |
| Subject |
Science General |
| ISBN/ISSN/Other |
ISSN: 0065-2598 ISBN: 978-1-4614-0163-6 |
| Research group | Lund University Cognitive Science (LUCS) |
| Project | Cognition, Communication and Learning |
Jörgen Eriksson
Kristoffer Holmqvist
Mikael Graffner
Email: publicera@lub.lu.se
+46 (0)46 222 0326
Lund University's "ReSearch for the Future" magazine (Pdf, 10 Mb) presents a range of research from across the University.