A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An
emerging approach is “brain decoding”, which consists of inferring a set of experimental …

Moving beyond static text and illustrations is a central challenge for scientific publishing in
the 21st century. As early as 1995, Donoho and Buckheit paraphrased John Claerbout that “…

Ensuring the long-term reproducibility of data analyses requires results stability tests to verify
that analysis results remain within acceptable variation bounds despite inevitable software …

Artificial neural networks trained in the field of artificial intelligence (AI) have emerged as key
tools to model brain processes, sparking the idea of aligning network representations with …

Sensorless freehand 3D ultrasound (US) uses speckle decorrelation to estimate small rigid
motions between pairs of 2D images. Trajectory estimation combines these motion estimates …

NeuroLibre is a preprint server for neuroscience Jupyter Books, blending code, visualization
and narrative text into one document. NeuroLibre archives the environment, code and data …

L’échographie 3D main-libre consiste à acquérir une séquence d’images ultrasonores avec
une sonde ultrasonore usuelle 2D, et combiner ces images pour reconstruire un volume 3D. …

Resting-state functional connectivity (RSFC) holds promise for the detection and characterisation
of dementia. The Comprehensive Assessment of Neurodegeneration and Dementia (…

Interactive selection algorithms have always been an important aspect of any computer
graphics and visualization software tools. Many software such as Blender, or AutoDesk include …

Model was fit with an Adam optimizer (learning rate of 5e-4), a batch-size of 1 and the
normalized cross-correlation as a cost function. Because of the high hardware requirements, we …