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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.

Smith, Y, Surmeier, DJ, Redgrave, P, and Kimura, M (2011).
Thalamic Contributions to Basal Ganglia-Related Behavioral Switching and Reinforcement
The Journal of Neuroscience, 108(1):160--174.

Taffoni, F, Piervirgili, G, Formica, D, and Guglielmelli, E (2011).
An alignment procedure for ambulatory measurements of lower limb kinematic using magneto-inertial sensors
In: Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE, pp. 1197 -1200.

Toutounji, H, Rothkopf, CA, and Triesch, J (2011).
Scalable Reinforcement Learning through Hierarchical Decompositions for Weakly-Coupled Problems
In: IEEE 10th International Conference on Development and Learning (ICDL), August 24-27, 2011.

Truppa, V, Piano Mortari, E, Garofoli, D, Privitera, S, and Visalberghi, E (2011).
Same/different concept learning by capuchin monkeys in matching-to-sample tasks
PloS ONE, 6(8):e23809.

Wang, Q, Chandrashekhariah, P, and Spina, G (2011).
Familiarity-to-novelty shift driven by learning: A conceptual and computational model
Development and Learning (ICDL), 2011 IEEE International Conference on , 2:1-6.

Wong-Lin, K, Prasad, G, and McGinnity, TM (2011).
A spiking neuronal network model of the dorsal raphe nucleus
In: Proceedings of 2011 IEEE International Joint Conference on Neural Networks (IJCNN 2011), pp. 1591 - 1598 (ISBN: 978-1-4244-9635-8 ).

Yang, S and McGinnity, M (2011).
A Biologically Plausible Real-time Spiking Neuron Simulation Environment Based on a Multiple-FPGA Platform
ACM SIGARTH Computer Architecture News, 39(4).

Yang, S and McGinnity, T (2011).
A biologically plausible real-time spiking neuron simulation environment based on a multiple-FPGA platform
ACM SIGARTH Computer Architecture News,, 39(4).

Yang, S, McGinnity, T, and Wong-Lin, K (2011).
Real-time Inhibitory Control Implementation on FPGA
In: UK Neuroinformatics Node Workshop: From Computation Models to Engineering and Cognition.

Yi, S, Gomes, F, and Schmidhuber, J (2011).
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
In: AGI 2011.

Yi, S, Gomez, F, Ring, M, and Schmidhuber, J (2011).
Incremental Basis Construction from Temporal Difference Error
In: Proc. ICML 2011.

Addessi, E, Mancini, A, Crescimbene, L, Ariely, D, and Visalberghi, E (2010).
How to spend a token?Trade-offs between food variety amd food preference in tufted capuchin monkeys (Cebus apella)
Behavioural Processes, 83:267-275.

Baldassarre, G and Mirolli, M (2010).
Reply and Summary: On the Open Challenges for Understanding Cumulative Learning
Miscellaneous publication, The Newsletters of the Autonomous Mental Development Technical committee (IEEE CIS AMD Newsletters) Vol. 7, N. 2, pp. 8-9..

Baldassarre, G and Mirolli, M (2010).
What are the key open challenges for understanding the autonomous cumulative learning of skills?
Miscellaneous publication, The Newsletters of the Autonomous Mental Development Technical committee (IEEE CIS AMD Newsletters). Vol. 7 N. 1, pp. 11..

Burbridge, C, Condell, JV, and Nehmzow, U (2010).
Efficient Local Navigation using 1D Image Representations
In: Proceedings of Intelligent Autonomous Systems 11 (IAS-11), ed. by Christensen, H. I., Groen, F., Petriu, E, pp. 153-162, Amsterdam, Netherlands, IOS Press, Inc.

Caballero, J and Gurney, K (2010).
Optimal decision making with biologically realistic neural signals
In: Nineteenth Annual Computational Neuroscience Meeting, Organization for Computational Neurosciences (http://www.cnsorg.org/).

Caligiore, D, Borghi, A, Parisi, D, and Baldassarre, G (2010).
TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects
Psycological Review, 117:1188-1228.

Caligiore, D, Guglielmelli, E, Borghi, A, Parisi, D, and Baldassarre, G (2010).
A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot
In: IEEE International Conference on Development and Learning (ICDL2010), ed. by Kuipers B., Shultz T., Stoytchev A., Yu C., pp. 211-218, IEEE, Piscataway, NJ.

Caligiore, D, Mirolli, M, Parisi, D, and Baldassarre, G (2010).
A bioinspired hierarchical reinforcement learning architecture for modeling learning of multiple skills with continuous states and actions
In: Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob2010), ed. by Johansson Birger, Sahin Erol, Balkenius Christian, vol. 149, pp. 27-34, Lund University, Lund, Sweden. Lund University Cognitive Studies.

Campolo, D, Formica, D, Guglielmelli, E, and Keller, F (2010).
Kinematic analysis of the human wrist during pointing tasks
Experimental Brain Research, 201(3):561-573.

Campolo, D, Taffoni, F, Schiavone, G, Formica, D, Guglielmelli, E, and Keller, F (2010).
Neuro-Developmental Engineering: towards early diagnosis of neuro-developmental disorders
INTECH. New Developments in Biomedical Engineering. (ISBN: 978-953-7619-57-2).

Chersi, F, Mirolli, M, Gurney, K, Redgrave, P, and Baldassarre, G (2010).
Goal-directed motor sequence learning based on multiple basal ganglia-cortical loops
In: 40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010), Society for Neuroscience.

Chersi, F, Thill, S, Ziemke, T, and Borghi, A (2010).
Sentence processing: linking language to motor chains
Frontiers in Neurorobotics, 4.

Coizet, V, Dommett, E, Klop, E, Redgrave, P, and Overton, P (2010).
The parabrachial nucleus is a critical link in the transmission of short latency nociceptive information to midbrain dopaminergic neurons
Neuroscience, 168(1):263--272.

Dimitrakakis, C (2010).
Context model inference for large or partially observable MDPs
In: ICML Workshop on reinforcement learning and search in very large spaces.