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
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
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
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
Same/different concept learning by capuchin monkeys in matching-to-sample tasks
PloS ONE, 6(8):e23809.
Wang, Q, Chandrashekhariah, P, and Spina, G
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
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
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
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
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
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
In: AGI 2011.
Yi, S, Gomez, F, Ring, M, and Schmidhuber, J
Incremental Basis Construction from Temporal Difference Error
In: Proc. ICML 2011.
Addessi, E, Mancini, A, Crescimbene, L, Ariely, D, and Visalberghi, E
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
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
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
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
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
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
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
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
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
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
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
Sentence processing: linking language to motor chains
Frontiers in Neurorobotics, 4.
Coizet, V, Dommett, E, Klop, E, Redgrave, P, and Overton, P
The parabrachial nucleus is a critical link in the transmission of short latency nociceptive information to midbrain dopaminergic neurons
Context model inference for large or partially observable MDPs
In: ICML Workshop on reinforcement learning and search in very large spaces.