Opponent interactions between serotonin and dopamine
Neural Networks - Computational models of neuromodulation
Isotropic sequence order learning
Neural Computation
Stabilising hebbian learning with a third factor in a food retrieval task
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Learning and Reversal Learning in the Subcortical Limbic System: A Computational Model
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
| Hi-index | 0.00 |
Three factor Isotropic sequence order (ISO3) learning is a form of differential Hebbian learning where a third factor switches on learning at relevant moments for example, after reward retreival. This switch enables learning only at specific moments and, thus, stablises the corresponding weights. The concept of using a third factor as a gating signal for learning at relevant moments has been extended in this paper to perform second order conditioning (SOC). We present a biological model of the sub-cortical nuclei of the limbic system that is capable of performing SOC in a food seeking task. The 3rd-factor is modelled by dopaminergic neurons of the VTA which are activated via a direct excitatory glutamatergic pathway, and an indirect dis-inhibitory GABAergic pathway. The latter generates an amplification in the number of tonically active DA neurons. This produces an increase in DA outside the event of a primary reward and enables SOC to be accomplished.