The APECS-SRN: Towards a model of SRT sequence learning

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 692-696

  Jones, F W ^a   Le Pelley, M E ^a   McLaren, I P L ^a  

^a UK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COGNITIVE SYSTEMS; COMPUTER SIMULATION; ERROR CORRECTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; RANDOM PROCESSES;

SERIAL REACTION TIME; SIMPLE RECURRENT NETWORK;

RECURRENT NEURAL NETWORKS;

EID: 0036075375     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Attractor dynamics and parallelism in a connectionist sequential machine
2. Finding structure in time
3. Learning the structure of event sequences
4. Sequence recognition with recurrent neural networks
5. Modelling the detailed pattern of SRT sequence learning
6. Unconscious acquisition of complex procedural knowledge
7. Attentional requirements of learning: Evidence from performance measures
8. Evaluating the relationship between explicit and implicit knowledge in a sequential reaction time task
9. Patterns of sub-sequence learning in the two-choice serial reaction time task: Blocking in the sequential domain?
10. Learning internal representations by error propagation
11. Sequence processing with recurrent neural networks
12. APECS: A solution to the sequential learning problem
13. Catastrophic interference in connectionist networks: The sequential learning problem
14. Catastrophic forgetting in connectionist networks