Zobrazeno 1 - 10
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pro vyhledávání: '"Baas, Nils A."'
Autor:
Baas, Nils A.
In this paper we show how the hyperstructure concept leads to new algebraic structures and general field theories.
Comment: Some changes and additions.Again,the main point is to outline a series of ideas regarding higher structures using the hyp
Comment: Some changes and additions.Again,the main point is to outline a series of ideas regarding higher structures using the hyp
Externí odkaz:
http://arxiv.org/abs/2111.11205
Autor:
Baas, Nils A.
In this paper we suggest how the mathematical concept of hyperstructures may be a useful tool in the study of the higher, hierachical structure of languages.
Externí odkaz:
http://arxiv.org/abs/1806.05551
Autor:
Baas, Nils A.
In this paper we will relate hyperstructures and the general $\mathscr{H}$-principle to known mathematical structures, and also discuss how they may give rise to new mathematical structures. The main purpose is to point out new ideas and directions o
Externí odkaz:
http://arxiv.org/abs/1805.11944
Autor:
Baas, Nils A.
The purpose of this paper is to describe and elaborate the philosophical ideas behind hyperstructures and structure formation in general and emphasize the key ideas of the Hyperstructure Program.
Comment: Minor changes. Published version
Comment: Minor changes. Published version
Externí odkaz:
http://arxiv.org/abs/1805.11943
Autor:
Baas, Nils A.
We formulate a general approach to higher concurrencies in general and neural codes in particular, and suggest how the higher order aspects may be dealt with in using topology.
Externí odkaz:
http://arxiv.org/abs/1805.06760
We introduce a novel data-driven approach to discover and decode features in the neural code coming from large population neural recordings with minimal assumptions, using cohomological feature extraction. We apply our approach to neural recordings o
Externí odkaz:
http://arxiv.org/abs/1711.07205
Autor:
Baas, Nils A., Stacey, Andrew
The following is an amalgamation of four preprints and some computer programs which together represent the current state of our investigations of higher order links. This investigation was motivated by questions discussed and raised in the first auth
Externí odkaz:
http://arxiv.org/abs/1602.06450
We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates of neuron activity. Our input data consist of spike train measurements of a set of neurons of interest, a candidate list of the known
Externí odkaz:
http://arxiv.org/abs/1510.06629
Autor:
Baas, Nils A.
In this paper we discuss various philosophical aspects of the hyperstructure concept extending networks and higher categories. By this discussion we hope to pave the way for applications and further developments of the mathematical theory of hyperstr
Externí odkaz:
http://arxiv.org/abs/1509.00403