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Explore q-analogues of Poincaré distributions on the upper half plane, delving into mathematical concepts and their applications in geometric analysis.
Explore the momentum mapping of the affine real symplectic group, delving into its mathematical properties and applications in geometric analysis.
Explore Poisson geometry's application to statistical Frobenius manifolds, delving into advanced mathematical concepts and their intersections.
Explore a discrete model for vortex loops in two-dimensional fluid dynamics, examining mathematical concepts and computational applications.
Explore frugal learning techniques using brain signals and stratified spaces to enhance cognitive processes and optimize data interpretation.
Explore twistor spaces on foliated manifolds and their applications in geometric information science. Delve into advanced mathematical concepts and their relevance to information theory.
Explore the intricate geometry of saccades and saccadic cycles, delving into the fascinating mechanics behind rapid eye movements and their cyclical patterns.
Explore a sub-Riemannian model of M1's functional architecture for arm movement direction, gaining insights into neural mechanisms and motor control.
Explore differential operators in the V1 cortex, examining their heterogeneity in orientation and scale for advanced neuroscience insights.
Explore signal encoding and decoding in the primary visual cortex through Gabor Frames and Contact structures.
Explore nonholonomic systems with inequality constraints, delving into advanced concepts and applications in control theory and robotics.
Explore virtual affine nonholonomic constraints in mechanical systems, examining their mathematical foundations and practical applications in robotics and control theory.
Discover techniques to identify and optimally resolve expressivity bottlenecks, enhancing system performance and efficiency.
Explore canonical parameterizations of 2D shapes, delving into mathematical concepts and applications in geometry and computer graphics.
Explore three approaches for applying Riemannian metrics to Shape Space, enhancing understanding of geometric analysis in shape theory.
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