Ergodic BSDEs with jumps and time dependence

In this paper we look at ergodic BSDEs in the case where the forward dynamics are given by the solution to a non-autonomous (time-periodic coefficients) Ornstein-Uhlenbeck SDE with L\'evy noise, taking values in a separable Hilbert space. We establish the existence of a unique bounded solution to an infinite horizon discounted BSDE. We then use the vanishing discount approach, together with coupling techniques, to obtain a Markovian solution to the EBSDE. We also prove uniqueness under certain growth conditions. Applications are then given, in particular to risk-averse ergodic optimal control and power plant evaluation under uncertainty

Nash equilibria for non zero-sum ergodic stochastic differential games

In this paper we consider non zero-sum games where multiple players control the drift of a process, and their payoffs depend on its ergodic behaviour. We establish their connection with systems of Ergodic BSDEs, and prove the existence of a Nash equilibrium under the generalised Isaac's conditions. We also study the case of interacting players of different type

A dissociation between real and simulated movements in Parkinson's disease

Subcortical lesions have been simultaneously implicated in both real and simulated movement deficits. However, the analysis of the simulated opposition axis in precision grasping reveals that, in individuals with idiopathic bilateral Parkinson's disease motor imagery is impaired and that execution of overt movements is spared. This constitutes the first lesion observation congruent with the anatomical and functional dichotomy between real and simulated movements seen in experimental studies. These results underline the modality-specific nature of motor imagery and show that subcortical damage differentially impacts on motor activity

Magnetic Velocity Analysis of Potassium Atoms Scattered by a Magnesium Oxide Crystal

A beam of neutral potassium atoms is directed to the surface of an MgO crystal, incident at an adjustable angle of from 20 to 80 degrees. Perpendicular to this beam is a slit system which defines a second beam of atoms which have been scattered by the crystal. This second beam is directed to the region between a pair of Stern-Gerlach magnet pole pieces. The intensity of the beam is measured by means of a Langmuir-Taylor surface ionization detector

AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks

Segmentation of axon and myelin from microscopy images of the nervous system provides useful quantitative information about the tissue microstructure, such as axon density and myelin thickness. This could be used for instance to document cell morphometry across species, or to validate novel non-invasive quantitative magnetic resonance imaging techniques. Most currently-available segmentation algorithms are based on standard image processing and usually require multiple processing steps and/or parameter tuning by the user to adapt to different modalities. Moreover, only few methods are publicly available. We introduce AxonDeepSeg, an open-source software that performs axon and myelin segmentation of microscopic images using deep learning. AxonDeepSeg features: (i) a convolutional neural network architecture; (ii) an easy training procedure to generate new models based on manually-labelled data and (iii) two ready-to-use models trained from scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Results show high pixel-wise accuracy across various species: 85% on rat SEM, 81% on human SEM, 95% on mice TEM and 84% on macaque TEM. Segmentation of a full rat spinal cord slice is computed and morphological metrics are extracted and compared against the literature. AxonDeepSeg is freely available at https://github.com/neuropoly/axondeepsegComment: 14 pages, 7 figure

Simulated precision grasping in Parkinson’s Disease.

Subcortical lesions have been simultaneously implicated in both real and simulated movement deficits, suggesting that as with frontal le- sions, self action representation and programmation are the same process. We have analyzed the simulated precision grasping in subjects with idiopathic bilateral PD compared to a healthy control group. Re- sults showed that individuals with PD are impaired in the mental rep- resentation of a grasp orientation but are still capable of normally ex- ecuting this movement. These observations reveal that programmation and execution of movements is spared and that motor representation is selectively impaired. Thus, programmation of real acts and representa- tion of motor action are distinct processes

Making Jobs Out of the Energy Transition: Evidence from the French Energy Efficiency Obligations Scheme

Vast amounts are being invested in the energy transition worldwide, with optimistic expectations of economic growth and green job creation. Yet, we crucially lack ex-post validations of the multiplier effects widely used to quantify new green jobs. Focusing on the French Energy Efficiency Obligations scheme, this paper provides the first ex-post estimate of the employment effect of a large energy-retrofit investment program. We exploit a discontinuity in the provision of subsidies and use a novel synthetic control method on disaggregated data to estimate regional-level employment effects. We estimate that the scheme created 1.4 jobs per million euros invested