Publikationen in Zusammenarbeit mit Forschern von University of Pavia (21)

2016

  1. Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

    Cerebellum, Vol. 15, Núm. 2, pp. 139-151

  2. Distributed cerebellar motor learning: A spike-timing-dependent plasticity model

    Frontiers in Computational Neuroscience, Vol. 10, Núm. MAR

  3. Modeling the cerebellar microcircuit: New strategies for a long-standing issue

    Frontiers in Cellular Neuroscience, Vol. 10, Núm. JULY

  4. Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks

    International Journal of Neural Systems, Vol. 26, Núm. 5

  5. Spiking neural network with distributed plasticity reproduces cerebellar learning in eye blink conditioning paradigms

    IEEE Transactions on Biomedical Engineering, Vol. 63, Núm. 1, pp. 210-219

2015

  1. A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, Núm. 7, pp. 1567-1574

  2. Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

    Frontiers in Computational Neuroscience, Vol. 9, Núm. FEB

  3. Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit

    Frontiers in Cellular Neuroscience, Vol. 9, Núm. MAY

  4. Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning

    International IEEE/EMBS Conference on Neural Engineering, NER

2014

  1. Adaptive robotic control driven by a versatile spiking cerebellar network

    PLoS ONE, Vol. 9, Núm. 11

  2. Distributed cerebellar plasticity implements multiple-scale memory components of vestibulo-ocular reflex in real-robots

    Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

  3. Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: A closed-loop robotic simulation

    Frontiers in Computational Neuroscience, Vol. 8, Núm. AUG

2013

  1. A closed-loop neurobotic system for fine touch sensing

    Journal of Neural Engineering, Vol. 10, Núm. 4

  2. Brain-inspired sensorimotor robotic platform learning in cerebellum-driven movement tasks through a cerebellar realistic model

    IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence

  3. Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: A closed-loop robotic simulation

    Frontiers in Neural Circuits, Vol. 7, Núm. OCT

  4. Realistic modeling of neurons and networks: Towards brain simulation

    Functional Neurology, Vol. 28, Núm. 3, pp. 153-166

  5. Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: A simulation study

    Frontiers in Computational Neuroscience

2012

  1. A closed-loop neurorobotic system for investigating Braille-reading finger kinematics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Active tactile sensing in a neurorobotic Braille-reading system

    Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics

2009

  1. Timing in the cerebellum: oscillations and resonance in the granular layer

    Neuroscience, Vol. 162, Núm. 3, pp. 805-815