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Novel plasticity rule can explain the development of sensorimotor intelligence

Ralf Der, Georg Martius
2015 Proceedings of the National Academy of Sciences of the United States of America  
Without specifying any purpose or goal, seemingly purposeful and adaptive behavior is developed, displaying a certain level of sensorimotor intelligence.  ...  These surprising results require no system specific modifications of the DEP rule but arise rather from the underlying mechanism of spontaneous symmetry breaking due to the tight brain-body-environment  ...  We gratefully acknowledge the hospitality and discussions in the group of Nihat Ay. We thank Michael Herrmann, Anna Levina, Sacha Sokoloski, and Sophie Fessl for helpful comments. G.  ... 
doi:10.1073/pnas.1508400112 pmid:26504200 pmcid:PMC4653169 fatcat:4pgq2sweonhavhnc7c74viqo2e

Developmental robotics: a survey

Max Lungarella, Giorgio Metta, Rolf Pfeifer, Giulio Sandini
2003 Connection science  
Developmental robotics is an emerging field located at the intersection of robotics, cognitive science and developmental sciences.  ...  The methodology advocated is synthetic and two-pronged: on the one hand, it employs robots to instantiate models originating from developmental sciences; on the other hand, it aims to develop better robotic  ...  Acknowledgements Max Lungarella was supported by the Special Co-ordination Fund for Promoting Science and Technology from the Ministry of Education, Culture, Sports, Science and Technology of the Japanese  ... 
doi:10.1080/09540090310001655110 fatcat:u657nlgehzbtlazek5pcfydxf4

From Biological Synapses to "Intelligent" Robots

Birgitta Dresp-Langley
2022 Electronics  
Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of  ...  The basic mechanisms of unsupervised biological learning drive synaptic plasticity and adaptation for behavioral success in living brains with different levels of complexity.  ...  According to Hebb [1] , the combined activity of functionally specific networks in the mammalian brain explains the full complexity of cognitive representation ("intelligence", "intelligent processes"  ... 
doi:10.3390/electronics11050707 fatcat:fopi24ot2vdr7p6qqcn7prqpge

Acting Up: An Approach to the Study of Cognitive Development [chapter]

2016 The Pragmatic Turn  
Despite decades of research, we lack a comprehensive framework to study and explain cognitive development.  ...  How does this emphasis on action affect our understanding of cognitive development? Can an action-based approach provide a much-needed integrative theory of cognitive development?  ...  the Ernst Strüngmann Forum who contributed to our discussions for their useful insights.  ... 
doi:10.7551/mitpress/10709.003.0006 fatcat:hoqcfyu4wvhhlkfkci5pr4c7jq

Self-directedness, integration and higher cognition

Wayne Christensen
2004 Language Sciences  
This account helps explain situated cognition phenomena in humans because the integrative processes by which the brain adapts to control interaction are relatively agnostic concerning the source of the  ...  Thus, from the perspective of the motor control system using a tool is not fundamentally different to simply controlling an arm.  ...  I would also like to thank the organisers of Integrational Linguistics and Distributed Cognition, Durban 2003, for a very enjoyable conference.  ... 
doi:10.1016/j.langsci.2004.09.010 fatcat:r4rx4sz4zzbfpdeuv3tnulga7y

Self-Directedness: A Process Approach to Cognition [chapter]

Wayne Christensen
2003 Process Theories  
Standard approaches to cognition emphasise structures (representations and rules) much more than processes, in part because this appears to be necessary to capture the normative features of cognition.  ...  However the resultant models are inflexible and face the problem of computational intractability.  ...  The theory of self-directedness was originally developed in collaboration with Cliff Hooker, and the ideas presented here have also benefited greatly from many discussions with Mark Bickhard.  ... 
doi:10.1007/978-94-007-1044-3_7 fatcat:du7r5o5uczcbbgdthsskzkmtfy

Computational neurorehabilitation: modeling plasticity and learning to predict recovery

David J. Reinkensmeyer, Etienne Burdet, Maura Casadio, John W. Krakauer, Gert Kwakkel, Catherine E. Lang, Stephan P. Swinnen, Nick S. Ward, Nicolas Schweighofer
2016 Journal of NeuroEngineering and Rehabilitation  
We first explain how the emergence of robotics and wearable sensors for rehabilitation is providing data that make development and testing of such models increasingly feasible.  ...  We argue that a fundamental understanding of neurologic recovery, and as a result accurate predictions at the individual level, will be facilitated by developing computational models of the salient neural  ...  Acknowledgments The authors would like to thank the Borchard Foundation for supporting this work.  ... 
doi:10.1186/s12984-016-0148-3 pmid:27130577 pmcid:PMC4851823 fatcat:4yoaf76fpjgulc4rq45zn2x4yi

Page 2311 of Psychological Abstracts Vol. 91, Issue 6 [page]

2004 Psychological Abstracts  
The focus of EpiRob is to bring together developmental psychology and robotics, to cre- ate robots that develop their behaviors and internal representations on the ba- sis of long-term learning and sensorimotor  ...  Clarifying the neural network decisions by explanatory rules that capture the learned knowledge embedded in the networks can help the credit- risk manager in explaining why a particular applicant is classified  ... 

Neurorobots as a Means Toward Neuroethology and Explainable AI

Kexin Chen, Tiffany Hwu, Hirak J. Kashyap, Jeffrey L. Krichmar, Kenneth Stewart, Jinwei Xing, Xinyun Zou
2020 Frontiers in Neurorobotics  
We suggest that using neurorobots as a form of computational neuroethology can be a powerful methodology for understanding neuroscience, as well as for artificial intelligence and machine learning.  ...  Moreover, a neuroroboticist has total control over the network, and by analyzing different neural groups or studying the effect of network perturbations (e.g., simulated lesions), they may be able to explain  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fnbot.2020.570308 pmid:33192435 pmcid:PMC7604467 fatcat:37v42xxymbfuznceh4gofmuawy

Mental Imagery for Intelligent Vehicles

Alice Plebe, Riccardo Donà, Gastone Pietro Papini Rosati, Mauro Da Lio
2019 Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems  
The research in the design of self-driving vehicles has been boosted, in the last decades, by the developments in the fields of artificial intelligence.  ...  In this direction, we consider the Convergencedivergence Zones (CDZs) as the most prominent proposal in explaining the simulation process underlying the human sensorimotor learning.  ...  ACKNOWLEDGEMENTS This work was developed inside the EU Horizon 2020 Dreams4Cars Research and Innovation Action project, supported by the European Commission under Grant 731593.  ... 
doi:10.5220/0007657500430051 dblp:conf/vehits/PlebeDPL19 fatcat:w3knd6idq5d4xarks6vkoivta4

Situated Action: A Neuropsychological Interpretation Response to Vera and Simon

William J. Clancey
1993 Cognitive Science  
coordinations, they do not replicate human learning or the plasticity of sensorimotor recombination.  ...  Yet, already the shift has begun from viewing them as intelligent beings, to but the shadow of what we must explain. Figure 1 . 1 Symbolic view of sensorimotor coordinotion.  ... 
doi:10.1207/s15516709cog1701_7 fatcat:v67el63ngrhofa7iorwcvofw2q

Is Evolutionary Psychology a Metatheory for Psychology? A Discussion of Four Major Issues in Psychology From an Evolutionary Developmental Perspective

Annemie Ploeger, Han L. J. van der Maas, Maartje E. J. Raijmakers
2008 Psychological Inquiry  
The research of Annemie Ploeger has been made possible by a fellowship of the Evolution and Behaviour programme of the Netherlands Organisation for Scientific Research.  ...  Dolan, Willem Frankenhuis, Frietson Galis, Hilde Huizenga, Eva Lobach, Peter Molenaar, Wery van den Wildenberg, Jaap van Heerden, and Eric-Jan Wagenmakers for their helpful comments on earlier drafts of  ...  The dynamic model, however, also explains additional phenomena in the development of intelligence, such as the hierarchical factor structure of intelligence and the increase in heritability of "g."  ... 
doi:10.1080/10478400701774006 fatcat:6qiw4jbcdjfsdkyqmh2oesfs6m

An Open-Ended Approach to Piagetian Development of Adaptive Behavior

Kole Harvey
2018 OALib  
We focus on the sensorimotor development of an infant child from gestation to toddler and discuss what aspects of the body, brain, and environment could allow for the sort of leaps of complexity observed  ...  We use the backdrops of Piagetian developmental principles and Sensorimotor Contingency Theory to discuss this process in terms of skill proficiency, and discuss biologically plausible means for achieving  ...  [29] develops an approach similar to that of the current paper, by examining the developmental process from fetus to infant, and applies Piagetian principles to the development of an intelligence embodied  ... 
doi:10.4236/oalib.1104434 fatcat:xg7mni5cmrbifocz6thpcollnq

Thalamocortical contribution to flexible learning in neural systems

Mien Brabeeba Wang, Michael M. Halassa
2022 Network Neuroscience  
A large body of experimental work indicates that such optimization changes the wiring of neural circuits, appropriately mapping environmental input onto behavioral outputs.  ...  By selecting among these control functions, the basal ganglia hierarchically guide thalamocortical plasticity across two timescales to enable meta-learning.  ...  Therefore, the cortex can develop a modular hierarchical representation of the world that can be easily generalized.  ... 
doi:10.1162/netn_a_00235 fatcat:atjjt2a5kfeztkugx4vvfl7sym

Thinking Required [article]

Kamil Rocki
2015 arXiv   pre-print
There exists a theory of a single general-purpose learning algorithm which could explain the principles its operation.  ...  Given current understanding and observations, this paper reviews and lists the ingredients of such an algorithm from architectural and functional perspectives.  ...  I would like to thank members of machine intelligence group at IBM Research and Numenta for their suggestions and many interesting discussions. Remarks This paper is not fixed.  ... 
arXiv:1512.01926v1 fatcat:4vapgonigvgbxdroamcxmr7uf4
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