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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.

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

Shaw, P, Law, J, and Lee, M (2014).
A comparison of learning strategies for biologically constrained development of gaze control on an iCub robot
Autonomous Robots, 37:97-110.

Shah, A and Gurney, KN (2014).
Finding minimal action sequences with a simple evaluation of actions
Frontiers in Computational Neuroscience, 8:151.

Fiore, V, Sperati, V, Mannella, F, Mirolli, M, Gurney, K, Firston, K, Dolan, R, and Baldassarre, G (2014).
Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot
Frontiers in Psychology - Cognitive Science, 5(124).

Bednark, JG, Reynolds, JN, Stafford, T, Redgrave, P, and Franz, EA (2013).
Creating a movement heuristic for voluntary action: Electrophysiological correlates of movement-outcome learning
Cortex, 49:771--780.

McBride, S, Hülse, M, and Lee, M (2013).
Identifying the computational requirements of an integrated top-down-bottom-up model for overt visual attention within an active vision system
PLoS ONE, 8(2).

Thirkettle, M, Walton, T, Shah, A, Gurney, K, Redgrave, P, and Stafford, T (2013).
The path to learning: Action acquisition is impaired when visual reinforcement signals must first access cortex
Behavioural Brain Research, 243:267--272.

Bolado-Gomez, R and Gurney, K (2013).
A biologically plausible embodied model of action discovery
Frontiers in Neurorobotics, 7:4.

Shaw, P, Law, J, and Lee, M (2013).
An evaluation of environmental constraints for biologically constrained development of gaze control on an iCub robot
PALADYN Journal of Behavioral Robotics, 3(3):147-155.

Santucci, VG, Baldassarre, G, and Mirolli, M (2013).
Which is the best intrinsic motivation signal for learning multiple skills?
Frontiers in Neurorobotics, 7:e1-14.

Lonini, L, Forestier, S, Teulière, C, Zhao, Y, Shi, B, and Triesch, J (2013).
Robust active binocular vision through intrinsically motivated learning
Frontiers in Neurorobotics, 7(20).

Baldassarre, G, Mannella, F, Fiore, V, Redgrave, P, Gurney, K, and Mirolli, M (2013).
Intrinsically motivated action-outcome learning and goal-based action recall: A system-level bio-constrained computational model
Neural Networks, 41:168-187.

Barto, A, Mirolli, M, and Baldassarre, G (2013).
Novelty or suprise?
Frontiers in Psychology, 4(907):1-15.

Caligiore, D, Pezzulo G, Miall, C, and Baldassarre, G (2013).
The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities
Neuroscience and Biobehavioral Reviews, 37(10):2504-2515.

Mannella, F, Gurney, K, and Baldassarre, G (2013).
The nucleus accumbens as a nexus between values and goals in goal-directed behaviour: a review and a new hypothesis
Frontiers in Behavioural Neuroscience, 7:e1-29.

Thill, S, Caligiore, D, Borghi, A, Ziemke, T, and Baldassarre, G (2013).
Theories and computational models of affordance and mirror systems: An integrative review
Neuroscience and Biobehavioral Reviews, 37:491-521.

Walton, T, Thirkettle, M, Redgrave, P, Gurney, K, and Stafford, T (2013).
The discovery of novel actions is affected by very brief reinforcement delays and reinforcement modality
Journal of Motor Behavior, 45(4):351-360.

Shah, A, Barto, A, and Fagg, A (2013).
A Dual Process Account of Coarticulation in Motor Skill Acquisition
Journal of Motor Behavior, 45:531--549.

Caligiore, D, Borghi, A, Parisi, D, Ellis, R, Cangelosi, A, and Baldassarre, G (2013).
How affordances associated with a distractor object affect compatibility effects: A study with the computational model TRoPICALS
Psychological Research, 77(1):7-19.

Cartoni, E, Puglisi-Allegra, S, and Baldassarre, G (2013).
The three principles of action: a Pavlovian-instrumental transfer hypothesis
Frontiers in Behavioural Neuroscience, 7(153):e1-11.

Triesch, J (2013).
Imitation Learning Based on an Intrinsic Motivation Mechanism for Efficient Coding
Frontiers in Psychology, 4(800).

Zheng, P, Dimitrakakis, C, and Triesch, J (2013).
Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex
PLoS Computational Biology, 9(1).

Rothkopf, C and Ballard, D (2013).
Modular inverse reinforcement learning for visuomotor behavior
Biological Cybernetics, 107(4):477-490.

Caligiore, D and Fisher, M (2013).
Vision, action and language unified through embodiment
Psychological Research, 77(1):1-6.

Law, J, Shaw, P, and Lee, M (2013).
A biologically constrained architecture for developmental learning of eye–head gaze control on a humanoid robot
Autonomous Robots, 35(1):77-92.