VALERIY
MAKAROV SLIZNEVA
Catedrático de universidad
JOSÉ ANTONIO
VILLACORTA ATIENZA
Profesor ayudante doctor
Publicaciones en las que colabora con JOSÉ ANTONIO VILLACORTA ATIENZA (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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Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations
Frontiers in Neurorobotics, Vol. 14
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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Experimental evidences of time compaction in human cognition
Opera Medica et Physiologica, Vol. 4, pp. 59-60
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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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
2014
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Compact internal representation of dynamic environments: Simple memory structures for complex situations
Cognitive Systems Monographs, Vol. 21, pp. 83-100
2013
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Neural network architecture for cognitive navigation in dynamic environments
IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, Núm. 12, pp. 2075-2087
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Wave-Processing of Long-Scale Information by Neuronal Chains
PLoS ONE, Vol. 8, Núm. 2
2011
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Compact internal representation as a protocognitive scheme for robots in dynamic environments
Proceedings of SPIE - The International Society for Optical Engineering
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FPGA implementation of a modified FitZhugh-Nagumo neuron based causal neural network for compact internal representation of dynamic environments
Proceedings of SPIE - The International Society for Optical Engineering
2010
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Compact internal representation of dynamic situations: Neural network implementing the causality principle
Biological Cybernetics, Vol. 103, Núm. 4, pp. 285-297