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Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection

B. Girard, N. Tabareau, Q.C. Pham, A. Berthoz, J.-J. Slotine
2008 Neural Networks  
We use here a multidisciplinary approach at the convergence of neuroscience, dynamical systems theory and autonomous robotics, in order to propose an efficient action selection mechanism based on a new  ...  model of the basal ganglia.  ...  Discussion We proposed a new action selection mechanism for an autonomous robot, using a multidisciplinary approach combining computational neuroscience and dynamic system theory.  ... 
doi:10.1016/j.neunet.2008.03.009 pmid:18495422 fatcat:4dfmepxb7bchvjyg2izk7bjxga

Biomimetic stochastic race model in the subcortical saccadic selection processes: a model of the tecto-basal loops

Charles Thurat, Steve N'Guyen, Benoît Girard
2013 BMC Neuroscience  
Thus, we propose to create a model of saccade target selection including the Superior Colliculus (SC) and the Basal Ganglia (BG): their reciprocal connectivity has recently been emphasized [5] , as well  ...  Our model's architecture offers a mechanism of gluing of the two hemifields for near-vertical saccades, and is able to reliably reproduce selection data and neurons activity profiles gathered in-vivo [  ...  Submit your manuscript at www.biomedcentral.com/submit QC, Berthoz A, Slotine JJ: Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection  ... 
doi:10.1186/1471-2202-14-s1-p145 fatcat:gyi3mhjih5e5lbwfcjaltb5xmi

Can robots make good models of biological behaviour?

B Webb
2001 Behavioral and Brain Sciences  
The explication and justification of this approach are here placed within a framework for describing and comparing models in the behavioural and biological sciences.  ...  How should biological behaviour be modelled? A relatively new approach is to investigate problems in neuroethology by building physical robot models of biological sensorimotor systems.  ...  ACKNOWLEDGMENT We thank the National Science Foundation and the Gatsby Foundation for the support of the Telluride Workshop on Neuromorphic Engineering where this work was performed.  ... 
pmid:12412325 fatcat:xzdirg5xezamdpqc5k42qydf3m

Can robots make good models of biological behaviour?

Barbara Webb
2001 Behavioral and Brain Sciences  
The explication and justification of this approach are here placed within a framework for describing and comparing models in the behavioural and biological sciences.  ...  How should biological behaviour be modelled? A relatively new approach is to investigate problems in neuroethology by building physical robot models of biological sensorimotor systems.  ...  Georgio Metta, a postdoctoral associate at MIT Artificial Intelligence Lab, has been supported with a grant by DARPA as part of the "Natural Tasking of Robots Based on Human Interaction Cues" project under  ... 
doi:10.1017/s0140525x01000127 fatcat:paszkdmgg5azlplbfzfyfh3z7u

Symbolic Models and Emergent Models: A Review

Juyang Weng
2012 IEEE Transactions on Autonomous Mental Development  
There exists a large conceptual gap between symbolic models and emergent models for the mind.  ...  Many emergent models work on low-level sensory data, while many symbolic models deal with high-level abstract (i.e., action) symbols.  ...  Weng's model [114] is not completely consistent with the three-role model of Doya [230] who suggested that the basal ganglia, the cerebellum, and the cerebral cortex used supervised, reinforcement,  ... 
doi:10.1109/tamd.2011.2159113 fatcat:op2i6qg2frc6fcflzg7g5lv4uy

A/B Testing [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
to trigger the selective opening of basal ganglia gates to enable the read-out of context-appropriate actions.  ...  J Neurosci 19:10502-10511 Brown JW, Bullock D, Grossberg S (2004) How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades.  ...  However, most approaches to learning with onedependence classifiers perform model selection, a process that usually imposes substantial computational overheads and substantially increases variance relative  ... 
doi:10.1007/978-1-4899-7687-1_100507 fatcat:bg6sszljsrax5heho4glbcbicu

Average-Payoff Reinforcement Learning [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
to trigger the selective opening of basal ganglia gates to enable the read-out of context-appropriate actions.  ...  J Neurosci 19:10502-10511 Brown JW, Bullock D, Grossberg S (2004) How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades.  ...  However, most approaches to learning with onedependence classifiers perform model selection, a process that usually imposes substantial computational overheads and substantially increases variance relative  ... 
doi:10.1007/978-1-4899-7687-1_100029 fatcat:jub4ulyg45abnf4qgutimczie4

A historical perspective on learning: the legacy and actuality of I. M. Pavlov and N. A. Bernstein [chapter]

Agnès Roby-Brami, Rémi Goasdoué
2010 Collection de L'Académie Européenne de Médecine de Réadaptation  
In: Rethinking physical and rehabilitation medicine. Ed J.P. Didier, E. Bigand, Université de Bourgogne. (2010) Springer. Series on the European academy of rehabilitation medicine. pp 71-94.  ...  Acknowledgments The authors are indebted to Nicolas Balzamo for the translation in French of a chapter of Bernstein (1936 Bernstein ( /2003  ...  the cerebellum, cortical brain areas and the basal ganglia.  ... 
doi:10.1007/978-2-8178-0034-9_4 fatcat:zpdq25sm2jeq3m74kpm6a7p5ga

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
Alliance through the Initiative and Networking Fund of the Helmholtz Association and the Helmholtz Portfolio theme "Supercomputing and Modeling for the Human Brain" and the European Union Seventh Framework  ...  Acknowledgements This research was supported by NIH grant NS086082 and a GSU Brains and Behavior Seed Grant (DNC), N.H. is a Brains and Behavior and Honeycutt Fellow; A.A.P. is a 2CI Neurogenomics and  ...  What if we could design an autonomous flying robot with the navigational and learning abilities of a honeybee?  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

Progress in machine consciousness

David Gamez
2008 Consciousness and Cognition  
This system is based on a network of nodes that represent the state of the environment, actions, the effect of actions and the goals of the system, and the level of activation of these nodes can spread  ...  s (2001) neural animat might be a system of this kind. 9 Systems with real consciousness cannot be developed without methods for measuring and debugging 7 phenomenal states, and so there is a close relationship  ...  Acknowledgements Many thanks to Owen Holland for feedback and suggestions about this paper and to the blind reviewers for their many helpful comments and corrections.  ... 
doi:10.1016/j.concog.2007.04.005 pmid:17572107 fatcat:y5dbqzisevcvpa3czymqfvh6yu

Abstracts from the 35th Annual Meeting of The Japanese Society for Comparative Physiology and Biochemistry
第35回日本比較生理生化学会大会

2013 Hikaku seiri seikagaku(Comparative Physiology and Biochemistry)  
The study fish were less aggressive against models (1) and (2), but were highly aggressive toward models (3) and (4) , strongly supporting the hypothesis that this fish use facial coloration for individual  ...  Recent theories (e.g. social intelligence hypothesis) predict that selection favors enhanced social cognitive ability such as individual recognition in animals living in higher sociality.  ...  Putting these implementations together, we develop a system for data management in the field of neuroscience.  ... 
doi:10.3330/hikakuseiriseika.30.147 fatcat:x2pmh3fel5ct5i6h5okyy63nea

Extraction of spatio-temporal primitives of emotional body expressions

Lars Omlor, Martin A. Giese
2007 Neurocomputing  
The resulting model of basal ganglia provides a rationale for their inter-nucleus connectivity and the idiosyncratic properties of particular neuronal populations.  ...  Striatum is the input stage of the basal ganglia, a collection of nuclei in the midbrain. Basal ganglia are involved in cognitive and motor behaviour, including reward dependent learning.  ... 
doi:10.1016/j.neucom.2006.10.100 fatcat:esivhljzsbcihdl5qbp756josu

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Sue Denham, Panayiota Poirazi, Erik De Schutter, Karl Friston, Ho Ka Chan, Thomas Nowotny, Dongqi Han, Sungho Hong, Sophie Rosay, Tanja Wernle, Alessandro Treves, Sarah Goethals (+90 others)
2017 BMC Neuroscience  
This suggests a novel direction for compressive sensing theory and sampling methodology in engineered devices.  ...  KnowledgeSpace is currently transitioning to a shared governance model, with a Governing Board composed of members of the neuroscience community who are currently funded to generate or share data and/or  ...  Basal ganglia circuit which is located in the midbrain has an essential role in action selection, decision making and reward based learning processes.  ... 
doi:10.1186/s12868-017-0370-3 fatcat:qq2cmqlotbg7vpqlqmmcql4u5i

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Adam J. H. Newton, Alexandra H. Seidenstein, Robert A. McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker (+526 others)
2017 BMC Neuroscience  
This suggests a novel direction for compressive sensing theory and sampling methodology in engineered devices.  ...  KnowledgeSpace is currently transitioning to a shared governance model, with a Governing Board composed of members of the neuroscience community who are currently funded to generate or share data and/or  ...  Basal ganglia circuit which is located in the midbrain has an essential role in action selection, decision making and reward based learning processes.  ... 
doi:10.1186/s12868-017-0372-1 fatcat:q5x3vgivujgshmtthc6ki4fcfu

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
Acknowledgements Center for Neural Science, New York University, USA Prefrontal cortex (PFC) is the hub of a distributed system that coordinates the selection, planning and execution of motor behaviors  ...  [W 52] Reliable and adaptive numerical methods for realistic neurons Dan A.  ...  DA secretion, action selection, action evaluation, and value assignment subsystems are modeled as nonlinear dynamical systems.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi
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