Blar i Publikasjoner fra CRIStin - NTNU på forfatter "Baas, Nils A."
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Decoding of neural data using cohomological feature extraction
Rybakken, Erik; Baas, Nils A.; Dunn, Benjamin Adric (Journal article; Peer reviewed, 2019)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 ... -
On the mathematics of higher structures
Baas, Nils A. (Journal article; Peer reviewed, 2019)In a series of papers, we have discussed higher structures in science in general, and developed a framework called hyperstructures for describing and working with higher structures. We discussed the philosophy behind higher ... -
On the philosophy of higher structures
Baas, Nils A. (Journal article; Peer reviewed, 2019)Higher structures occur and play an important role in all sciences and their applications. In a series of papers, we have developed a framework called Hyperstructures for describing and working with higher structures. The ... -
Toroidal topology of population activity in grid cells
Gardner, Richard J.; Hermansen, Erik; Pachitariu, Marius; Burak, Yoram; Baas, Nils A.; Dunn, Benjamin Adric; Moser, May-Britt; Moser, Edvard Ingjald (Journal article; Peer reviewed, 2022)The medial entorhinal cortex is part of a neural system for mapping the position of an individual within a physical environment1. Grid cells, a key component of this system, fire in a characteristic hexagonal pattern of ... -
Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model
Spreemann, Gard; Dunn, Benjamin Adric; Botnan, Magnus; Baas, Nils A. (Journal article; Peer reviewed, 2018)We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates in a system governed by the kinetic Ising model with time-varying external fields. As its starting point ...