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

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

There are 127 references in this bibliography folder for Article type.

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.

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

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.

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.

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.

Polizzi di Sorrentino, E, Sabbatini, G, Truppa, V, Bordonali, A, Taffoni, F, Formica, D, Baldassarre, G, Mirolli, M, Guglielmelli, E, and Visalberghi, E (2014).
Exploration and learning in capuchin monkeys (Sapajus spp.): the role of actionoutcome contingencies
Animal Cognition, Published on line 18 March 2014:e1-8.

Shah, A and Gurney, KN (2014).
Emergent structured transition from variation to repetition in a biologically-plausible model of learning in basal ganglia
Frontiers in Psychology (Cognitive Science), 5:91.

Taffoni, F, Tamilia, E, Focaroli, V, Formica, D, Ricci, L, Di Pino, G, Baldassarre, G, Mirolli, M, Guglielmelli, E, and Keller, F (2014).
Development of goal-directed action selection guided by intrinsic motivations: an experiment with children
Experimental Brain Research, on line 2 April 2014:e1-13.