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ORCIDAlejandro Jiménez-Rodríguez
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2020 – today
- 2023
[c6]Alejandro Jiménez-Rodríguez
, Tony J. Prescott:
Motivational Modulation of Consummatory Behaviour and Learning in a Robot Model of Spatial Navigation. Living Machines (2) 2023: 240-253- 2022
- [j3]John M. Brooke, Sebastian S. James, Alejandro Jiménez-Rodríguez, Stuart P. Wilson:
Biological action at a distance: Correlated pattern formation in adjacent tessellation domains without communication. PLoS Comput. Biol. 18(3) (2022) - [c5]Alejandro Jiménez-Rodríguez, Julie M. Robillard, Tony J. Prescott:
Cognitive Architecture as a Service: Scaffolded Integration of Heterogeneous Models Through Event Streams. Living Machines 2022: 345-353 - 2020
- [c4]Alejandro Jiménez-Rodríguez, Tony J. Prescott, Robert Schmidt, Stuart P. Wilson:
A Framework for Resolving Motivational Conflict via Attractor Dynamics. Living Machines 2020: 192-203
2010 – 2019
- 2019
- [c3]Laura Rose Edmondson, Alejandro Jiménez-Rodríguez, Hannes P. Saal:
Nonlinear scaling of resource allocation in sensory bottlenecks. NeurIPS 2019: 7543-7552 - [c2]Fuhai Ling, Alejandro Jiménez-Rodríguez, Tony J. Prescott:
Obstacle Avoidance Using Stereo Vision and Deep Reinforcement Learning in an Animal-like Robot. ROBIO 2019: 71-76 - 2017
- [c1]José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, Francia Restrepo de Mejía, Diego Hernán Peluffo-Ordóñez, Jorge Serrano:
Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach. IWINAC (1) 2017: 444-455 - 2015
- [j2]Alejandro Jiménez-Rodríguez, José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, J. M. Medina, Francia Restrepo de Mejía:
The shape of dementia: new measures of morphological complexity in event-related potentials (ERP) and its application to the detection of Alzheimer's disease. Medical Biol. Eng. Comput. 53(9): 889-897 (2015) - 2014
- [j1]José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, David Cuesta-Frau, Eva M. Cirugeda-Roldán, Diego Hernán Peluffo-Ordóñez:
Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques. Entropy 16(12): 6573-6589 (2014)
Coauthor Index
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