Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Alessandra Pedrocchi

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Eduardo Ros

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Egidio D'Angelo

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Martina Francesca Rizza

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Niceto Rafael Luque

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Stefano Casali

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Stefano Masoli

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P2860

PyNEST: A Convenient Interface to the NEST Simulator

NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail

Disorders of the Cerebellum: Ataxia, Dysmetria of Thought, and the Cerebellar Cognitive Affective Syndrome

A quantitative description of membrane current and its application to conduction and excitation in nerve

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The cerebellar Golgi cell and spatiotemporal organization of granular layer activity

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176

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scholarly article

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4604112

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10.3389/FNCEL.2016.00176

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English

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2016-01-01T00:00:00Z

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27458345

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cerebellum

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4937064

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

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