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We propose a model for description of activity-dependent evolution and self-wiring between binary neurons. Specifically, this model can be used for investigation of growth of neuronal connectivity in the developing neocortex. By using…

Neurons and Cognition · Quantitative Biology 2007-05-23 Fail M. Gafarov

Any function can be constructed using a hierarchy of simpler functions through compositions. Such a hierarchy can be characterized by a binary rooted tree. Each node of this tree is associated with a function which takes as inputs two…

Machine Learning · Computer Science 2019-10-23 Roozbeh Farhoodi , Khashayar Filom , Ilenna Simone Jones , Konrad Paul Kording

This paper describes how realistic neuromorphic networks can have their connectivity properties fully characterized in analytical fashion. By assuming that all neurons have the same shape and are regularly distributed along the…

Disordered Systems and Neural Networks · Physics 2009-11-10 Luciano da F. Costa

This paper presents a spike-based model which employs neurons with functionally distinct dendritic compartments for classifying high dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly…

Neural and Evolutionary Computing · Computer Science 2014-11-26 Shaista Hussain , Shih-Chii Liu , Arindam Basu

During neurodevelopment, neuronal axons navigate through the extracellular environment, guided by various cues to establish connections with distant target cells. Among other factors, axon trajectories are influenced by heterogeneities in…

Biological Physics · Physics 2025-09-09 Christoforos Kassianides , Alain Goriely , Hadrien Oliveri

Higher-rank Minkowski valuations are efficient means for describing the geometry and connectivity of spatial patterns. We show how to extend the framework of the scalar Minkowski valuations to vector- and tensor-valued measures. The…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Claus Beisbart , Robert Dahlke , Klaus Mecke , Herbert Wagner

Arboreal categories provide an axiomatic framework in which abstract notions of bisimilarity and back-and-forth games can be defined. They act on extensional categories, typically consisting of relational structures, via arboreal…

Logic in Computer Science · Computer Science 2025-02-05 Luca Reggio , Colin Riba

Small-world structures are often used to describe structural connections in the brain. In this work, we compare the structural connection of cortical areas of a healthy brain and a brain affected by Alzheimer's disease with artificial…

Neurons and Cognition · Quantitative Biology 2020-04-22 José C. P. Coninck , Fabiano A. S. Ferrari , Adriane S. Reis , Kelly C. Iarosz , Antonio M. Batista , Ricardo L. Viana

In neuroscience, understanding inter-individual differences has recently emerged as a major challenge, for which functional magnetic resonance imaging (fMRI) has proven invaluable. For this, neuroscientists rely on basic methods such as…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Akrem Sellami , François-Xavier Dupé , Bastien Cagna , Hachem Kadri , Stéphane Ayache , Thierry Artières , Sylvain Takerkart

Minkowski functionals constitute a family of order parameters which discriminate spatial patterns according to size, shape and connectivity. Here we point out, that these scalar descriptors can be complemented by vector-valued curvature…

Astrophysics · Physics 2009-10-31 C. Beisbart , T. Buchert , H. Wagner

Understanding the relationship between the dynamics of neural processes and the anatomical substrate of the brain is a central question in neuroscience. On the one hand, modern neuroimaging technologies, such as diffusion tensor imaging,…

Two generalizations of the Minkowski ?(x) function are given. As ?(x) maps quadratic irrationals to rational numbers, it is shown that both generalizations send natural classes of pairs of cubic irrational numbers in the same cubic number…

Number Theory · Mathematics 2007-05-23 Andrew Marder

We propose a mesh-based technique to aid in the classification of Alzheimer's disease dementia (ADD) using mesh representations of the cortex and subcortical structures. Deep learning methods for classification tasks that utilize structural…

Image and Video Processing · Electrical Eng. & Systems 2022-03-14 Emanuel A. Azcona , Pierre Besson , Yunan Wu , Arjun Punjabi , Adam Martersteck , Amil Dravid , Todd B. Parrish , S. Kathleen Bandt , Aggelos K. Katsaggelos

In this paper, we studied the association between the change of structural brain volumes to the potential development of Alzheimer's disease (AD). Using a simple abstraction technique, we converted regional cortical and subcortical volume…

Image and Video Processing · Electrical Eng. & Systems 2019-05-16 Rui Zhang , Luca Giancardo , Danilo A. Pena , Yejin Kim , Hanghang Tong , Xiaoqian Jiang

We investigate the relations between the spin structure functions in the scaling and resonance regions. We examine the possible duality between the two, and draw inferences for the behavior of the asymmetry A_1 at large x. Finally, we point…

High Energy Physics - Phenomenology · Physics 2009-10-31 Carl E. Carlson , Nimai C. Mukhopadhyay

We characterize which graph invariants are partition functions of a spin model over the complex numbers, in terms of the rank growth of associated `connection matrices'.

Combinatorics · Mathematics 2012-09-25 Alexander Schrijver

Neurons are spatially extended structures that receive and process inputs on their dendrites. It is generally accepted that neuronal computations arise from the active integration of synaptic inputs along a dendrite between the input…

Neurons and Cognition · Quantitative Biology 2013-09-11 Willem A. M. Wybo , Klaus M. Stiefel , Benjamin Torben-Nielsen

Treating the two-dimensional Minkowski space as a Wick rotated version of the complex plane, we characterize the causal automorphisms in two-dimensional Minkowski space as the M\"{a}rzke-Wheeler maps of a certain class of observers. We also…

Mathematical Physics · Physics 2015-06-15 Juan Manuel Burgos

This work deals with the presence of thick branes in a model with two source scalar fields that interact with one another in a very specific way. The model is new, capable of generating kinklike configurations that engender important…

High Energy Physics - Theory · Physics 2020-09-16 D. Bazeia , D. A. Ferreira , M. A. Marques

We apply Minkowski functionals and various derived measures to decipher the morphological properties of large-scale structure seen in simulations of gravitational evolution. Minkowski functionals of isodensity contours serve as tools to…