61 citations · 213 across the 18 of their papers we have counts for
18 papers
Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings
Paul Stoewer, Achim Schilling, Andreas Maier +1
The human brain possesses the extraordinary capability to contextualize the information it receives from our environment. The entorhinal-hippocampal plays a critical role in this f…
Word class representations spontaneously emerge in a deep neural network trained on next word prediction
Kishore Surendra, Achim Schilling, Paul Stoewer +2
How do humans learn language, and can the first language be learned at all? These fundamental questions are still hotly debated. In contemporary linguistics, there are two major sc…
Extracting continuous sleep depth from EEG data without machine learning
Claus Metzner, Achim Schilling, Maximilian Traxdorf +3
The human sleep-cycle has been divided into discrete sleep stages that can be recognized in electroencephalographic (EEG) and other bio-signals by trained specialists or machine le…
Quantifying and maximizing the information flux in recurrent neural networks
Claus Metzner, Marius E. Yamakou, Dennis Voelkl +2
Free-running Recurrent Neural Networks (RNNs), especially probabilistic models, generate an ongoing information flux that can be quantified with the mutual information $I\left[\vec…
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…
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…