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A topological approach unveils system invariances and broken symmetries in the brain
Symmetries are widespread invariances underscoring countless systems, including the
brain. A symmetry break occurs when the symmetry is present at one level of observation but …
brain. A symmetry break occurs when the symmetry is present at one level of observation but …
Towards a fourth spatial dimension of brain activity
Current advances in neurosciences deal with the functional architecture of the central
nervous system, paving the way for general theories that improve our understanding of brain …
nervous system, paving the way for general theories that improve our understanding of brain …
[کتاب][B] Computational proximity
JF Peters, JF Peters - 2016 - Springer
This chapter introduces computational proximity. Basically, computational proximity (CP) is
an algorithmic approach to finding nonempty sets of points that are either close to each other …
an algorithmic approach to finding nonempty sets of points that are either close to each other …
Intuition: The Experience of Formal Research
YA Prokopchuk - 2022 - philpapers.org
A new concept of Intuition, the Deep Unconscious is considered on the basis of the
Paradigm of limiting generalizations. The book describes a high-level sketch. The results of …
Paradigm of limiting generalizations. The book describes a high-level sketch. The results of …
Voronoï region-based adaptive unsupervised color image segmentation
Color image segmentation is a crucial step in many computer vision and pattern recognition
applications. This paper introduces an adaptive and unsupervised approach based on …
applications. This paper introduces an adaptive and unsupervised approach based on …
[PDF][PDF] Near semigroups on nearness approximation spaces
In this paper, our approach is to study properties of approximations on nearness
approximation spaces. Afterwards, our aim is to define near semigroups and near ideals on …
approximation spaces. Afterwards, our aim is to define near semigroups and near ideals on …
Short term load forecasting model based on kernel-support vector regression with social spider optimization algorithm
Short-term load forecasting in power system is an important factor planning and electricity
marketing. Due to the uncertainty of the load demand, many studies have been devised for …
marketing. Due to the uncertainty of the load demand, many studies have been devised for …
Near groups of weak cosets on nearness approximation spaces
In this paper, we consider the problem of how to establish algebraic structures of near sets
on nearness approximation spaces. Essentially, our approach is define the near group of all …
on nearness approximation spaces. Essentially, our approach is define the near group of all …
Bold-independent computational entropy assesses functional donut-like structures in brain fMRI images
We introduce a novel method for the measurement of information level in fMRI (functional
Magnetic Resonance Imaging) neural data sets, based on image subdivision in small …
Magnetic Resonance Imaging) neural data sets, based on image subdivision in small …
Proximal relator spaces
This article introduces proximal relator spaces. The basic approach is to define a nonvoid
family of proximity relations ℛ δ Φ (called a proximal relator) on a nonempty set. The pair (𝑋 …
family of proximity relations ℛ δ Φ (called a proximal relator) on a nonempty set. The pair (𝑋 …