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Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje cells (within the cerebellar cortex) …
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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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Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeling it and embedding it into …
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Prediction of Manipulation Actions
This work presents an FPGA implementation of a highly parallel architecture for the motion and disparity estimations of color images. …
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A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural …
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Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
The way long-term potentiation (LTP) and depression (LTD) are integrated within the different synapses of brain neuronal circuits is …
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Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process
Experimental studies of the Central Nervous System (CNS) at multiple organization levels aim at understanding how information is …
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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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Contour motion estimation for asynchronous event-driven cameras
This paper compares image motion estimation with asynchronous event-based cameras to Computer Vision approaches using as input …
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