Análisis Matemático Matemática Aplicada
Fachbereich
CARLOS
CALVO TAPIA
Profesor ayudante doctor
Publikationen, an denen er mitarbeitet CARLOS CALVO TAPIA (14)
2021
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Static internal representation of dynamic situations reveals time compaction in human cognition
Journal of Advanced Research, Vol. 28, pp. 111-125
2020
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Basic principles drive self-organization of brain-like connectivity structure
Communications in Nonlinear Science and Numerical Simulation, Vol. 82
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Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations
Frontiers in Neurorobotics, Vol. 14
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Universal principles justify the existence of concept cells
Scientific Reports, Vol. 10, Núm. 1
2019
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High-Dimensional Brain: A Tool for Encoding and Rapid Learning of Memories by Single Neurons
Bulletin of Mathematical Biology, Vol. 81, Núm. 11, pp. 4856-4888
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Mathematical modeling of cognitive processes with applications in neuroscience and robotics
Mathematical modeling of cognitive processes with applications in neuroscience and robotics
2018
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Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations
Proceedings of the International Joint Conference on Neural Networks
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Fast social-like learning of complex behaviors based on motor motifs
Physical Review E, Vol. 97, Núm. 5
2017
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Holistic model of cognitive limbs for dynamic situations
NEUROTECHNIX 2017 - Proceedings of the 5th International Congress on Neurotechnology, Electronics and Informatics
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Limb Movement in Dynamic Situations Based on Generalized Cognitive Maps
Mathematical Modelling of Natural Phenomena, Vol. 12, Núm. 4, pp. 15-29
2016
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Learning connectivity structure in a chain of network motifs
Advanced Science Letters, Vol. 22, Núm. 10, pp. 2647-2651
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Synchronization of Heteroclinic Circuits Through Learning in Chains of Neural Motifs
IFAC-PapersOnLine, Vol. 49, Núm. 14, pp. 80-83
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WAVES in ISOTROPIC TOTALISTIC CELLULAR AUTOMATA: APPLICATION to REAL-TIME ROBOT NAVIGATION
Advances in Complex Systems, Vol. 19, Núm. 4-5
2015
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Prediction-for-CompAction: navigation in social environments using generalized cognitive maps
Biological Cybernetics, Vol. 109, Núm. 3, pp. 307-320