scispace - formally typeset
Search or ask a question
Institution

Istituto Italiano di Tecnologia

FacilityGenoa, Italy
About: Istituto Italiano di Tecnologia is a facility organization based out in Genoa, Italy. It is known for research contribution in the topics: Robot & Humanoid robot. The organization has 4561 authors who have published 14595 publications receiving 437558 citations. The organization is also known as: Italian Institute of Technology & IIT.
Topics: Robot, Humanoid robot, Graphene, iCub, Nanoparticle


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a silicon MEMS-based capacitive sensing array is presented, which has the ability to resolve forces in the sub mN range, provides directional response to applied loading and has the capability to differentiate between surface textures.

106 citations

Journal ArticleDOI
TL;DR: The SplitGAS method has been employed to study the HF, N2, and Cr2 molecules and performs better than the complete active space method followed by second-order perturbation theory, CASPT2, in terms of equilibrium bond length, dissociation energy, and vibrational properties.
Abstract: A new multiconfigurational quantum chemical method, SplitGAS, is presented. The configuration interaction expansion, generated from a generalized active space, GAS, wave function is split in two parts, a principal part containing the most relevant configurations and an extended part containing less relevant, but not negligible, configurations. The partition is based on an orbital criterion. The SplitGAS method has been employed to study the HF, N2, and Cr2 molecules. The results on these systems, especially on the challenging, multiconfigurational Cr2 molecule, are satisfactory. While SplitGAS is comparable with the GASSCF method in terms of memory requirements, it performs better than the complete active space method followed by second-order perturbation theory, CASPT2, in terms of equilibrium bond length, dissociation energy, and vibrational properties.

106 citations

Journal ArticleDOI
TL;DR: A self-adapting method for detecting both bursts and network bursts from electrophysiological activity recorded by means of micro-electrode arrays that automatically detects the best threshold to distinguish between inter- and intra-burst inter-spike intervals for each recording channel of the array.
Abstract: Dissociated networks of neurons typically exhibit bursting behavior, whose features are strongly influenced by the age of the culture, by chemical/electrical stimulation or by environmental conditions To help the experimenter in identifying the changes possibly induced by specific protocols, we developed a self-adapting method for detecting both bursts and network bursts from electrophysiological activity recorded by means of micro-electrode arrays The algorithm is based on the computation of the logarithmic inter-spike interval histogram and automatically detects the best threshold to distinguish between inter- and intra-burst inter-spike intervals for each recording channel of the array An analogous procedure is followed for the detection of network bursts, looking for sequences of closely spaced single-channel bursts We tested our algorithm on recordings of spontaneous as well as chemically stimulated activity, comparing its performance to other methods available in the literature

106 citations

Journal ArticleDOI
28 Jan 2011-PLOS ONE
TL;DR: Functional magnetic resonance imaging in the rat is used to map the modulatory effect of selective OXR blockade on the functional response produced by D-amphetamine, a psychostimulant and arousing drug that stimulates orexigenic activity.
Abstract: Orexins are neuro-modulatory peptides involved in the control of diverse physiological functions through interaction with two receptors, orexin-1 (OX1R) and orexin-2 (OX2R). Recent evidence in pre-clinical models points toward a putative dichotomic role of the two receptors, with OX2R predominantly involved in the regulation of the sleep/wake cycle and arousal, and the OX1R being more specifically involved in reward processing and motivated behaviour. However, the specific neural substrates underlying these distinct processes in the rat brain remain to be elucidated. Here we used functional magnetic resonance imaging (fMRI) in the rat to map the modulatory effect of selective OXR blockade on the functional response produced by D-amphetamine, a psychostimulant and arousing drug that stimulates orexigenic activity. OXR blockade was produced by GSK1059865 and JNJ1037049, two novel OX1R and OX2R antagonists with unprecedented selectivity at the counter receptor type. Both drugs inhibited the functional response to D-amphetamine albeit with distinct neuroanatomical patterns: GSK1059865 focally modulated functional responses in striatal terminals, whereas JNJ1037049 induced a widespread pattern of attenuation characterised by a prominent cortical involvement. At the same doses tested in the fMRI study, JNJ1037049 exhibited robust hypnotic properties, while GSK1059865 failed to display significant sleep-promoting effects, but significantly reduced drug-seeking behaviour in cocaine-induced conditioned place preference. Collectively, these findings highlight an essential contribution of the OX2R in modulating cortical activity and arousal, an effect that is consistent with the robust hypnotic effect exhibited by JNJ1037049. The subcortical and striatal pattern observed with GSK1059865 represent a possible neurofunctional correlate for the modulatory role of OX1R in controlling reward-processing and goal-oriented behaviours in the rat.

106 citations

Journal ArticleDOI
TL;DR: It is shown that DOPAL-induced aS oligomer formation in neurons is associated with damage of synaptic vesicles, and with alterations in the synaptic vESicles pools, inducing neurodegeneration.
Abstract: Parkinson's disease is a neurodegenerative disorder characterized by the death of dopaminergic neurons and by accumulation of alpha-synuclein (aS) aggregates in the surviving neurons. The dopamine catabolite 3,4-dihydroxyphenylacetaldehyde (DOPAL) is a highly reactive and toxic molecule that leads to aS oligomerization by covalent modifications to lysine residues. Here we show that DOPAL-induced aS oligomer formation in neurons is associated with damage of synaptic vesicles, and with alterations in the synaptic vesicles pools. To investigate the molecular mechanism that leads to synaptic impairment, we first aimed to characterize the biochemical and biophysical properties of the aS-DOPAL oligomers; heterogeneous ensembles of macromolecules able to permeabilise cholesterol-containing lipid membranes. aS-DOPAL oligomers can induce dopamine leak in an in vitro model of synaptic vesicles and in cellular models. The dopamine released, after conversion to DOPAL in the cytoplasm, could trigger a noxious cycle that further fuels the formation of aS-DOPAL oligomers, inducing neurodegeneration.

106 citations


Authors

Showing all 4601 results

NameH-indexPapersCitations
Marc G. Caron17367499802
Paolo Vineis134108886608
Michele Parrinello13363794674
Alex J. Barker132127384746
Tomaso Poggio13260888676
Shuai Liu129109580823
Giacomo Rizzolatti11729897242
Yehezkel Ben-Ari11045944293
Daniele Piomelli10450549009
Bruno Scrosati10358066572
Wolfgang J. Parak10246943307
Liberato Manna9849444780
Muhammad Imran94305351728
Ole Isacson9334530460
Luigi Ambrosio9376139688
Network Information
Related Institutions (5)
École Polytechnique Fédérale de Lausanne
98.2K papers, 4.3M citations

93% related

ETH Zurich
122.4K papers, 5.1M citations

92% related

Massachusetts Institute of Technology
268K papers, 18.2M citations

90% related

Carnegie Mellon University
104.3K papers, 5.9M citations

90% related

Georgia Institute of Technology
119K papers, 4.6M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
2022109
20211,576
20201,618
20191,439
20181,381