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Thierry Nieus

Researcher at Istituto Italiano di Tecnologia

Publications -  66
Citations -  2620

Thierry Nieus is an academic researcher from Istituto Italiano di Tecnologia. The author has contributed to research in topics: Granule cell & Inhibitory postsynaptic potential. The author has an hindex of 26, co-authored 65 publications receiving 2288 citations. Previous affiliations of Thierry Nieus include University of Milan & University of Pavia.

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Theta-Frequency Bursting and Resonance in Cerebellar Granule Cells: Experimental Evidence and Modeling of a Slow K+-Dependent Mechanism

TL;DR: The experimental and modeling results indicate that IK-slow was necessary for both bursting and resonance in rat cerebellar granule cells and show that these neurons express a previously unidentified slow repolarizing K+ current (IK-slow).
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Evaluation of the Performance of Information Theory-Based Methods and Cross-Correlation to Estimate the Functional Connectivity in Cortical Networks

TL;DR: Transfer Entropy and Joint-Entropy showed the best results suggesting those methods as good candidates to extract functional links in actual neuronal networks from multi-site recordings.
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A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties.

TL;DR: This model shows that available knowledge on cellular mechanisms is sufficient to unify the main functional hypotheses on the cerebellum granular layer and suggests that this network can behave as an adaptable spatio-temporal filter coordinated by theta-frequency oscillations.
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LTP regulates burst initiation and frequency at mossy fiber - granule cell synapses of rat cerebellum: experimental observations and theoretical predictions

TL;DR: Independent regulation of spike burst initiation and frequency during LTP may provide mechanisms for temporal recoding and gain control of afferent signals at the input stage of cerebellar cortex.
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From 2D to 3D: novel nanostructured scaffolds to investigate signalling in reconstructed neuronal networks

TL;DR: The ability of 3D geometry to improve functional organization and synchronization in small neuronal assemblies is reported, and a mathematical modelling of network dynamics that supports such a result is proposed.