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List of key publications of IM-CLeVeR, searchable by reference type. Key publications furnished the background knowledge from where IM-CLeVeR started its research.

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

There are 34 references in this bibliography folder for Article type.

Campolo, D, Taffoni, F, Schiavone, G, Formica, D, Guglielmelli, E, and Keller, F (Submitted).
Technology for ecological assessment of sensori-motor coordination in infants
International Journal of Social Robotics.

Botvnick, MM, Niv, Y, and A., B (In press).
Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective
Cognition.

Brischoux, F, Chakraborty, S, Brierley, DI, and Ungless, MA (2009).
Phasic excitation of dopamine neurons in ventral VTA by noxious stimuli.
Proc Natl Acad Sci U S A, 106(12):4894–4899.

Lonini, L, L., D, Zollo, L, Guglielmelli, E, and Krebs, HI (2009).
An internal model for acquisition and retention of motor learning during arm reaching
Neural Computation, 21(7).

Schmidhuber, J (2009).
Simple algorithmic theory of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes
Journal of SICE, 48(1):21-32.

Shen, W, Flajolet, M, Greengard, P, and Surmeier, DJ (2008).
Dichotomous dopaminergic control of striatal synaptic plasticity.
Science, 321(5890):848–851.

Fitzpatrick, P, Metta, G, and Natale, L (2007).
Towards long-lived robot genes
Journal of Robotics and Autonomous Systems, 56:1-3.

Lee, MH, Meng, Q, and Chao, F (2007).
Developmental learning for autonomous robots
Robotics and Autonomous Systems, 55(9):750-759.

Lee, MH, Meng, Q, and Chao, F (2007).
Staged competence learning in developmental robotics
Adaptive Behavior, 15(3):241-255.

Neto, H and Nehmzow, U (2007).
Visual novelty detection with automatic scale selection
Robotics and Autonomous Systems, 55(9):693-701.

Ornkloo, H and Hofsten, Cv (2007).
Fitting objects into holes: on the development of spatial cognition skills.
Developmental Psychology, 43(2):404–416.

Sabbatini, G, Stammati, M, Tavares, MC, and Visalberghi, E (2007).
Response toward novel stimuli in a group of tufted capuchins (Cebus libidinosus) in Bras\'─▒lia National Park, Brazil.
American Journal of Primatology, 69(4):457–470.

Itti, L and Baldi, P (2006).
Bayesian surprise attracts human attention
Advances in Neural Information Processing Systems, 18:547-554.

Nehmzow, U, Iglesias, R, Kyriacou, T, and Billings, S (2006).
Robot learning through task identification
Robotics and Autonomous Systems, 54(9):766-778.

Redgrave, P and Gurney, K (2006).
The short-latency dopamine signal: a role in discovering novel actions?
Nat Rev Neurosci, 7(12):967–975.

Spencer, P, Clearfield, M, Corbetta, D, Ulrich, B, Buchanan, P, and Sch\"oner, G (2006).
Moving toward a grand theory of development: in memory of Esther Thelen.
Child Development, 77(6):1521–1538.

Condell, J, Scotney, B, and Morrow, P (2005).
Adaptive grid refinement procedures for efficient optical flow computation
International Journal of Computer Vision, 61(1):31-54.

Lisman, JE and Grace, AA (2005).
The hippocampal-VTA loop: controlling the entry of information into long-term memory.
Neuron, 46(5):703-713.

Roy, N, Gordon, G, and Thrun, S (2005).
Finding approximate POMDP solutions through belief compression
Journal of Artificial Intelligence Research, 23:1-40.

Worgotter, F and Porr, B (2005).
Temporal sequence learning, prediction, and control: A review of different models and their relation to biological mechanisms
Neural Comput, 17(2):245-319.

Gurney, K, Prescott, TJ, Wickens, JR, and Redgrave, P (2004).
Computational models of the basal ganglia: from robots to membranes.
Trends Neurosci, 27(8):453–459.

Hodge, V and Austin, J (2004).
A survey of outlier detection methodologies
Artificial Intelligence Review, 22:85-126.

Lefebvre, L, Reader, SM, and Sol, D (2004).
Brains, innovations and evolution in birds and primates
Brain, Behavior and Evolution, 63:233-246.

Barto, AG and Mahadevan, S (2003).
Recent advances in hierarchical reinforcement learning
Discrete Event Dynamic Systems, 13(4):341–379.

Baldassarre, G (2002).
A modular neural-network model of the basal ganglia's role in learning and selecting motor behaviours
Cognitive Systems Research, 3(2):5-13.