Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model.

By Gianluca Baldassarre, Francesco Mannella, Vincenzo G. Fiore, Peter Redgrave, Kevin N. Gurney, Marco Mirolli. 2013

60 citations recorded by the source corpus.

Subfields: Cell Biology, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cell Biology

1. Gianluca Baldassarre

In Cognitive Neuroscience

1. Marco Mirolli
2. Gianluca Baldassarre
3. Vieri Giuliano Santucci
4. Pierre-Yves Oudeyer
5. Manuel Lopes
6. Adrien Baranes

Citations in the corpus

• GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning (2016, background): “inspired/bio-constrained models have been developed [6], [19], [27], [34], [53], linking experimental evidence with computational mechanisms so to better understand the neural substrate”