activity
20182026
most citedHow deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks

61 citations · 137 across the 23 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

q-bio.NC2022

Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts

Paul Stoewer, Achim Schilling, Andreas Maier +1

The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and navigation in cognitive maps of arbitrary mental spaces via pl…

cs.LG2022★ 1 cited

Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity

Claus Metzner, Achim Schilling, Maximilian Traxdorf +3

Data classification, the process of analyzing data and organizing it into categories, is a fundamental computing problem of natural and artificial information processing systems. I…

cs.CV2022★ 11 cited

Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification

Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian +2

Employing deep neural networks for Hyperspectral remote sensing (HSRS) image classification is a challenging task. HSRS images have high dimensionality and a large number of channe…

q-bio.NC2022★ 2 cited

Predictive coding and stochastic resonance as fundamental principles of auditory perception

Achim Schilling, William Sedley, Richard Gerum +7

How is information processed in the brain during perception? Mechanistic insight is achieved only when experiments are employed to test formal or computational models. In analogy t…

cs.AI2022★ 2 cited

Neural Network based Successor Representations of Space and Language

Paul Stoewer, Christian Schlieker, Achim Schilling +3

How does the mind organize thoughts? The hippocampal-entorhinal complex is thought to support domain-general representation and processing of structural knowledge of arbitrary stat…