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Fabio Benfenati

Researcher at Istituto Italiano di Tecnologia

Publications -  424
Citations -  24243

Fabio Benfenati is an academic researcher from Istituto Italiano di Tecnologia. The author has contributed to research in topics: Synapsin & Synapsin I. The author has an hindex of 77, co-authored 406 publications receiving 21422 citations. Previous affiliations of Fabio Benfenati include University of Padua & University of Modena and Reggio Emilia.

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Journal ArticleDOI

The porcine iodoacetic acid model of retinal degeneration: Morpho-functional characterization of the visual system.

TL;DR: The functional and anatomical features of the visual system of IAA-treated pigs are investigated, providing more strength and reliability for future pre-clinical translational trials and ameliorates the characterization of such rapid and cost-effective model.
Proceedings ArticleDOI

Imaging extracellular neuronal signaling on high resolution microelectrode arrays (MEAs) Hippocampal cultures coupled with a high resolution neuroelectronic interface

TL;DR: The experimental performances of a high-resolution CMOS integrated microelectrode array platform for acquiring extracellular neuronal signaling in-vitro are described and spatial-temporal resolution is achieved together with data visualization as image sequences to enable the detailed observation of activation sites and burst activity propagations.
Journal ArticleDOI

Naloxone potentiation of 2-Br-α-ergocryptine (CB 154) effects on GH secretion in man

TL;DR: Results have been discussed in the light of morphofunctional findings showing possible interactions between dopamine (DA) systems and somatostatin-positive and enkephalin-positive nerve terminals.
Journal ArticleDOI

Aspects of neural plasticity in the central nervous system-II. Numerical classification in neuroanatomy.

TL;DR: In this paper, the authors explored the possibility of using taxonomic techniques to classify neuronal populations, in particular coefficients of similarity such as the Canberra metric and the Shannon diversity index, and adapted theoretical work in the field of numerical classification to the aim of characterizing various brain areas in classes according to their transmitter contents.