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

This folder holds the following references to publications, sorted by year and author.

There are 323 references in this bibliography folder.

Caligiore, D, Cipriani, D, De Marsico, M, Redgrave, P, Triesch, J, and Baldassarre, G (Submitted).
Novelty and surprise intrinsic motivations driving learning of eye movements: an experiments with human adults
Frontiers in Psychology.

Caligiore, D, Parisi, D, and Baldassarre, G (Submitted).
Integrating Reinforcement Learning, Equilibrium Points and Minimum Variance to Understand the Development of Reaching: A Computational Model
Psychological Review.

Huelse, M and Lee, M (Submitted).
Coupled sensory-motor map learning
IEEE Trans SMC.

Law, J, Earland, K, Shaw, P, and Lee, M (Submitted).
Robotic modelling of infant reach development
In: IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2013).

Law, J, Shaw, P, Lee, M, and Sheldon, M (Submitted).
From Saccades to Play: A model of Coordinated Reaching through Simulated Development on a Humanoid Robot
Transactions on Autonomous Mental Development.

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

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

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

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.

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.

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

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

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.

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

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 .

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.

Castro da Silva, B, Baldassarre, G, Konidaris, G, and Barto, A (2014).
Learning Parameterized Motor Skills on a Humanoid Robot
In: Proceedings of the International Conference on Robotics and Automation (ICRA2014), pp. 1-6.

Eser, J, Zheng, P, and Triesch, J (2014).
Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning
PLoS One.

Fiore, V, Mannella, F, Mirolli, M, Latagliata, E, Valzania, A, Cabib, S, Dolan, R, Puglisi-Allegra, S, and Baldassarre, G (2014).
Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability
Brain Structure and Function:e1-15.