Statistical and optimization methods for spatial data analysis applied to neuroscience
Texto completo
Documento similar
A naive expectation would have been that the pinch-off of a bubble in water is governed by the same scaling laws as the "inverse" case of a drop of water pinching off in
As an extension of this spatial struc- tures as attractor states of the neural network, and approaching real world applications with spatially organized data, it is characterized
The broad “WHO-ICF” perspective on HrWB provided at Figure 1 has a significant implication also for HRQoL. The develop- ment of ICF and its conceptual approach has challenged to
DEFORMATION.. Throughout this point different methods to calculate Young’s modulus are presented, as well as the value for each of the cycles in each of the samples. a)
In order to test the significance of the spatial distribution, we estimate a spatial model explaining the value of agri-food companies in function of
2) Matching: Next, we want to define a set of spatial con- straints that relate the existing map points {X 1 ,. For each point inside the viewing frustum of the predicted
Determinants of disability prevalence: an empirical spatial analysis 4.1 Exploratory analysis of spatial data on the disability rate in Morocco The objective of this section is
The analysis of spatiotemporal properties and organization of cortical vi- sual neurons, together with the indications given by experimental results on visual spatial and