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20232026
most citedProbing for Consciousness in Machines

2 citations · 10 across the 23 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024

Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT

Hassane Kissane, Achim Schilling, Patrick Krauss

This study investigates the internal representations of verb-particle combinations within transformer-based large language models (LLMs), specifically examining how these models ca…

cs.AI20242 cited

Probing for Consciousness in Machines

Mathis Immertreu, Achim Schilling, Andreas Maier +1

This study explores the potential for artificial agents to develop core consciousness, as proposed by Antonio Damasio's theory of consciousness. According to Damasio, the emergence…

cs.NE2024

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing

Claus Metzner, Achim Schilling, Andreas Maier +1

Reservoir computing - information processing based on untrained recurrent neural networks with random connections - is expected to depend on the nonlinear properties of the neurons…

q-bio.NC2024

Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks

Claus Metzner, Achim Schilling, Andreas Maier +1

In specific motifs of three recurrently connected neurons with probabilistic response, the spontaneous information flux, defined as the mutual information between subsequent states…

cs.CL2024

Analysis of Argument Structure Constructions in the Large Language Model BERT

Pegah Ramezani, Achim Schilling, Patrick Krauss

This study investigates how BERT processes and represents Argument Structure Constructions (ASCs), extending previous LSTM analyses. Using a dataset of 2000 sentences across four A…

cs.CL20241 cited

Analysis of Argument Structure Constructions in a Deep Recurrent Language Model

Pegah Ramezani, Achim Schilling, Patrick Krauss

Understanding how language and linguistic constructions are processed in the brain is a fundamental question in cognitive computational neuroscience. In this study, we explore the…