(. Solidity*), (. Feret-x*), R. Feret-angle*-;-raw, X. Lin, . Skew et al., The dataset being composed of 14 groups, cross-validation procedures by removing 1 group, 2 groups or 7 groups are evaluated to estimate generalisation performances. Fig. 2.1k. presents the results with 1 group out. The classification of IN is hard for 3 groups, the 3 test sets of the leave-1-group-out procedure. A comparison of the confusion matrices obtained with these procedures is given in Tab. 2.1b. by averaging the proportion of samples by groups and classes, By retaining in each group the main feature, noted *, with the highest value of AUC, the set of features can be reduced to: FALL LOG

C. Grienberger and A. Konnerth, Imaging Calcium in Neurons, Neuron, vol.73, pp.862-885, 2012.

H. H. Yin and B. J. Knowlton, The role of the basal ganglia in habit formation, Nat. Rev. Neurosci, vol.7, pp.464-476, 2006.

P. Redgrave, Goal directed and habitual control in the basal ganglia, Nat. Rev. Neurosci, vol.11, pp.760-772, 2010.

J. Tepper, Heterogeneity and diversity of striatal GABAergic interneurons, Front. Neuroanat, vol.4, issue.150, pp.1-18, 2018.

A. Jain, Statistical Pattern Recognition: A review, IEEE Trans. Pattern Anal. Mach. Intell, vol.22, pp.4-37, 2000.

T. Hastie, The elements of statistical learning, 2001.

J. Schindelin, Fiji: an open-source platform for biological-image analysis, Nat. Methods, vol.9, issue.7, pp.676-682, 2012.
URL : https://hal.archives-ouvertes.fr/pasteur-02616466

S. Van-der and W. , scikit-image: image processing in Python, PeerJ, vol.2, p.453, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01071542

T. W. Chen, Ultrasensitive fluorescent proteins for imaging neuronal activity, Nature, vol.499, pp.295-302, 2013.

F. Pedregosa, Scikit-learn: Machine Learning in Python, J. Mach. Learn. Res, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

T. P. Patel, Automated quantification of neuronal networks and single-cell calcium dynamics using calcium imaging, J. Neurosci. Meth, vol.243, pp.26-38, 2015.

F. Varela, The brainweb: phase synchronization and large-scale integration, Nat. Rev. Neurosci, vol.2, pp.229-239, 2001.

T. Deneux, Accurate spike estimation from noisy calcium signals for ultrafast three-dimensional imaging of large neuronal populations in vivo, Nat. Commun, vol.7, p.12190, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01461648

A. Petersen, SCALPEL: Extracting neurons from calcium imaging data, Ann. Appl. Stat, vol.12, issue.4, p.2430, 2018.