Výsledky vyhledávání - "Jochen Kerdels"

Efficient Approximation of a Recursive Growing Neural Gas

Publikováno v: Studies in Computational Intelligence ISBN: 9783030647308

The recursive growing neural gas algorithm (RGNG) is a variant of the classic GNG that was specifically designed to model the response behavior of groups of biological neurons. It was used successfully to describe the behavior of entorhinal grid cell

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3f7ad0f8b426f47b2884e2aaed5f6e8
https://doi.org/10.1007/978-3-030-64731-5_6

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Private Reader

Autor: Yun Suen Pai, Koichi Kise, Olivier Augereau, Kirill Ragozin, Jochen Kerdels, Kai Kunze

Publikováno v: MobileHCI

Reading in public spaces can often be tricky if we wish to keep the contents away from the prying eye. We propose Private Reader, an eye-tracking approach towards maintaining privacy while reading by rendering only the portion of text that is gazed b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::447ee088b7f727425bb3372035002dcd
https://doi.org/10.1145/3338286.3340129

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Challenging the Intuition about Memory and Computation in Theories of Cognition

Autor: Jochen Kerdels, Gabriele Peters

Publikováno v: IJCCI

In this position paper we argue that the concepts of memory and computation as they are commonly used in theories of cognition are strongly influenced by our intuitive understanding of the corresponding concepts in contemporary computer systems, lead

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2e9c7154029276d808a38f6906c0f32
https://doi.org/10.5220/0008493605220527

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A Noise Compensation Mechanism for an RGNG-Based Grid Cell Model

Autor: Jochen Kerdels, Gabriele Peters

Publikováno v: Studies in Computational Intelligence ISBN: 9783319992822

Grid cells of the entorhinal cortex provide a rare view on the deep stages of information processing in the mammalian brain. Complementary to earlier grid cell models that interpret the behavior of grid cells as specialized parts within a system for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b526ecc423e41d5c90af018b22ba3b48
https://doi.org/10.1007/978-3-319-99283-9_13

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Analysis of high-dimensional data using local input space histograms

Autor: Jochen Kerdels, Gabriele Peters

Publikováno v: Neurocomputing. 169:272-280

The idea of local input space histograms was recently introduced as a means to augment prototype-based vector quantization methods in order to gather more information about the structure of the respective input space. Here we investigate the utility

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e78cf2fb60ef233897d845c1e60bcf07
https://doi.org/10.1016/j.neucom.2014.12.094

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A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas

Autor: Jochen Kerdels, Gabriele Peters

Publikováno v: EPiC Series in Computing.

\noindent The growing neural gas (GNG) algorithm is an unsupervised learning method that is able to approximate the structure of its input space with a network of prototypes. Each prototype represents a local input space region and neighboring protot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b252f9e8a1f30cb0ce9b7e9bac2bc3ed
https://doi.org/10.29007/jgjt

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