Jesús Garrido

Jesús Garrido

Associate Professor

University of Granada

I am an associate professor in computer architecture, senior researcher at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada. My research interests include the creation of computational models to gain knowledge on how engineering and natural processes evolve and robotic control.

I have specialized in cerebellum modelling, as this small brain centre is tighly related to the coordination and movement. I feel mainly attracted by the plasticity mechanisms that support the formation of motor memories and sensorial representations.

Interests
  • Virtual Reality
  • Simulation
  • Robotics
  • Learning
Education

  • PhD in Computer Engineering, 2011

    University of Granada

  • MEng in Computer Engineering and Networks, 2007

    University of Granada

  • BSc in Computer Engineering, 2006

    University of Granada

Latest activity

Recent papers

20 of 42
  1. A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding
  2. Reinforcement learning in a spiking neural model of striatum plasticity
  3. Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
  4. On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
  5. A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease
  6. Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell
  7. Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
  8. On robot compliance. A cerebellar control approach
  9. Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study
  10. Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks
  11. Musculoskeletal Robots. Scalability in Neural Control
  12. Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
  13. Modeling the Cerebellar Microcircuit. New Strategies for a Long-Standing Issue
  14. Distributed Circuit Plasticity. New Clues for the Cerebellar Mechanisms of Learning
  15. Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
  16. Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms
  17. Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks
  18. A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
  19. Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
  20. Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning
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Projects

3
  1. HBP - Human Brain Project
  2. REALNET - Realistic Real-Time Networks. Computation Dynamics in the Cerebellum
  3. CEREBSENSING - Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control
View all projects →