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List of all publications whose research was partially or wholly funded by the IM-CLeVeR project, sorted by year.

This folder holds the following references to publications, filtered by year.

There are 17 references in this bibliography folder for In preparation year.

Mannella, F, Mirolli, M, and Baldassarre, G (In preparation).
Instrumental devaluation may depend on Pavlovian associations between manipulanda and rewards: a computational model
Frontiers in Neuroscience.

Mannella, F, Sperati, V, Shaw, P, Chandrashekhariah, P, Law, M, Lee, J, Triesch, J, Redgrave, P, Gurney, K, Mirolli, M, and Baldassarre, G (In preparation).
A neurorobotic model of the brain systems underlying intrinsically-motivated cumulative learning
Frontiers in Neurorobotics.

Mannella, F, Zappacosta, S, Mirolli, M, and Baldassarre, G (In preparation).
Generalised Spike Time Dependent Plasticity (G-STDP): A computational learning rule capturing multiple brain plasticity processes
Proceedings of the National Academy of Sciences of the United States of America.

Ognibene, D, Pezzulo, G, and Baldassarre, G (In preparation).
Learning and Development of Representations and Attention for Action: A Neurorobotic Study
IEEE Transactions on Autonomous Mental Development.

Santucci, V, Baldassarre, G, and Mirolli, M (In preparation).
Learning multiple skills through competence-based intrinsic motivations: a computational embodied model
Frontiers in Neurorobotics.

Tommasino, P, Caligiore, D, Mirolli, M, and Baldassarre, G (In preparation).
Transfer expert reinforcement learning (TERL): a reinforcement learning architecture that transfers knowledge between skills
Neural Networks.

Lewis, J, Sheldon, M, and Gurney, K (In preparation).
A multi-scale biomimetic model of intrinsically motivated action schema learning
Frontiers in Cognitive Science.

Lewis, J and Gurney, K (In preparation).
A biologically plausible model of sequence generation and action selection
Psychological Review.

Gatsoulis, Y and McGinnity, M (In preparation).
Intrinsically Motivated Robots Based on Novelty Detection: Theory and Methods
Frontiers in Neurorobotics.

Earland, K, Shaw, P, Law, J, and Lee, M (In preparation).
Overlapping structures in sensorimotor mappings
PLoS ONE.

Lewis, J, Sheldon, M, Lee, M, and Gurney, K (In preparation).
A multi-scale biomimetic model of intrinsically motivated action schema learning
Frontiers in Cognitive Science.

Schembri, M, Mirolli, M, and Baldassarre, G (In preparation).
Intrinsic motivations and evolution: a study with a reinforcement-learning simulated robot
Artificial Life.

Caballero, J, Lepora, N, and Gurney, K (In preparation).
Bayesian decision making with spike trains
PLoS Computational Biology.

Gurney, K, Humphries, M, and Redgrave, P (In preparation).
A new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface
The Journal of Neuroscience.

Siddique, M, McGinnity, M, Condell, J, Gatsoulis, Y, Kerr, E, and Vance, P (In preparation).
A Study on the Co-relationship between Novelty, Intrinsic Motivation and Learning
Frontiers in Psychology/Neurorobotics, Special Issue on Intrinsic motivations and open-ended development in animals, humans, and robots .

Law, J, Earland, K, Shaw, P, and Lee, M (In preparation).
Modelling infant reach development with robots
Developmental Science.

Law, J, Shaw, P, Earland, K, Sheldon, M, and Lee, M (In preparation).
A psychology grounded approach for longitudinal development in cognitive robotics
Frontiers in Cognitive Science.