Modelling cortico basal-ganglionic loops and the development of sequential information encoding
- Resource Type
- Conference Poster
- Authors
- Fukuda, Ryuta; Spratling, Micheal; Mareschal, Denis; Johnson, Mark
- Source
- Fukuda, Ryuta and Spratling, Micheal and Mareschal, Denis and Johnson, Mark (2003) Modelling cortico basal-ganglionic loops and the development of sequential information encoding. [Conference Poster]
- Subject
- Neuroscience: Computational Neuroscience
Computer Science: Machine Learning
Computer Science: Neural Nets
Computational Neuroscience
Machine Learning
Neural Nets
- Language
A connectionist model consisting of thirty cortico-basal ganglionic loops was implemented. This model encodes temporal information into a spatial pattern of neuronal activations in the prefrontal cortex using neurophysiologically plausible activation functions and circuitry without learning. This neural architecture was used to model experiments with infants. Initial results suggest that the cortical basal ganglionic circuitry has an inherent ability to differentiate sequential information.