3DSpineMFE
A MATLAB® toolbox that given a three-dimensional spine reconstruction computes a set of characteristic morphological measures that unequivocally determine the spine shape.
Demics is a library for the Python programming language, adding support for distributed computational operations for very large, multi-dimensional arrays and matrices. Such operations include Deep Learning inference models from the libraries TensorFlow and PyTorch. The software focuses on the segmentation and detection of objects in particularly large image data.
A MATLAB® toolbox that given a three-dimensional spine reconstruction computes a set of characteristic morphological measures that unequivocally determine the spine shape.
Dendritic spines of pyramidal neurons are the targets of most excitatory synapses in the cerebral cortex and their morphology appears to be critical from the functional point of view. Thus, characterizing this morphology is necessary to link structural and functional spine data and thus interpret and make them more meaningful. We have used a large database of more than 7,000 individually 3D reconstructed dendritic spines from human cortical pyramidal neurons that is first transformed into a set of 54 quantitative features characterizing spine geometry mathematically. The resulting data set is grouped into spine clusters based on a probabilistic model with Gaussian finite mixtures. We uncover six groups of spines whose discriminative characteristics are identified with machine learning methods as a set of rules. The clustering model allows us to simulate accurate spines from human pyramidal neurons to suggest new hypotheses of the functional organization of these cells.
An app for acquiring and storing data from multiple sensors. Currently, can be used with the following devices: Empatica E4 Tablet/Smartphone built-in sensors MetaMotion R In order to improve reliability, a bipartite structure has been implemented. In particular, the Main Activity acts as an interface between the user and the main service that constitutes the principal actor. The latter performs scans, handles the user's requests to connect remote devices, all the unexpected disconnection that may happen and receives the data from the wireless sensors.
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