Learning

CEREBIO - Cerebelo y Oliva Inferior en tareas de adaptación sensori-motora.
Esta investigación ha sido financiada con cargo a la ayuda P18- FR-2378 concedida por la Consejería de Universidad, Investigación e Innovación de la Junta de Andalucía y por FEDER, Una manera de Hacer Europa.
CEREBIO - Cerebelo y Oliva Inferior en tareas de adaptación sensori-motora.
Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Computational modeling is becoming a widely used methodology in modern neuroscience. However, as the complexity of the phenomena under …
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VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) …
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Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study
Studying and understanding the computational primitives of our neural system requires for a diverse and complementary set of …
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Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
The majority of operations carried out by the brain require learning complex signal patterns for future recognition, retrieval and …
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms
Goal: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in …
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Adaptive robotic control driven by a versatile spiking cerebellar network
The cerebellum is involved in a large number of different neural processes, especially in associative learning and in fine motor …
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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
The cerebellum is known to play a critical role in learning relevant patterns of activity for adaptive motor control, but the …
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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebro-cerebellar loops and it allows …
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From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm
In biological systems, instead of actual encoders at different joints, proprioception signals are acquired through distributed …
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