Achim Schilling
Identifiers
- name variant Achim Schilling 0.60 · backfill
Papers (40)
- Surviving by Serving: Functional Relevance Drives Self-Organization in Complex Adaptive Systems q-bio.NC · 2026 · author #3
- Ten Years of the Stochastic Resonance Model of Tinnitus: From Phantom Perception to Adaptive Sensory Optimization q-bio.NC · 2026 · author #2
- Word Class Representations Spontaneously Emerge from Successor Representations Trained on Natural Language cs.CL · 2026 · author #2
- Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study q-bio.NC · 2026 · author #4
- Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers cs.CV · 2026 · author #6
- Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems q-bio.NC · 2026 · author #4
- The Predictive Brain: Neural Correlates of Word Expectancy Align with Large Language Model Prediction Probabilities q-bio.NC · 2025 · author #6
- Organizational Regularities in Recurrent Neural Networks q-bio.NC · 2025 · author #2
- Probing Internal Representations of Multi-Word Verbs in Large Language Models cs.CL · 2025 · author #2
- Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions cs.CL · 2025 · author #2
- Refusal Behavior in Large Language Models: A Nonlinear Perspective cs.CL · 2025 · author #4
- Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT cs.CL · 2025 · author #2
- A unified theory for the development of tinnitus and hyperacusis based on associative plasticity in the dorsal cochlear nucleus q-bio.NC · 2024 · author #2
- Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT cs.CL · 2024 · author #2
- Probing for Consciousness in Machines cs.AI · 2024 · author #2
- Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing cs.NE · 2024 · author #2
- Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks q-bio.NC · 2024 · author #2
- Analysis of Argument Structure Constructions in the Large Language Model BERT cs.CL · 2024 · author #2
- Analysis of Argument Structure Constructions in a Deep Recurrent Language Model cs.CL · 2024 · author #2
- Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT cs.CL · 2024 · author #6
- Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations q-bio.NC · 2023 · author #2
- Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD) stat.ML · 2023 · author #2
- Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings cs.AI · 2023 · author #2
- Word class representations spontaneously emerge in a deep neural network trained on next word prediction cs.CL · 2023 · author #2
- Quantifying and maximizing the information flux in recurrent neural networks q-bio.NC · 2023 · author #4
- Extracting continuous sleep depth from EEG data without machine learning q-bio.QM · 2023 · author #2
- Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts q-bio.NC · 2022 · author #2
- Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity cs.LG · 2022 · author #2
- Predictive coding and stochastic resonance as fundamental principles of auditory perception q-bio.NC · 2022 · author #1
- Neural Network based Successor Representations of Space and Language cs.AI · 2022 · author #3
- Towards a Cognitive Computational Neuroscience of Auditory Phantom Perceptions q-bio.NC · 2020 · author #2
- Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures cs.NE · 2020 · author #2
- Sparsity through evolutionary pruning prevents neuronal networks from overfitting cs.NE · 2019 · author #4
- Stochastic resonance in three-neuron motifs q-bio.NC · 2018 · author #3
- Analysis of structure and dynamics in three-neuron motifs q-bio.NC · 2018 · author #3
- Objective estimation of sensory thresholds based on neurophysiological parameters q-bio.QM · 2018 · author #1
- How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks cs.LG · 2018 · author #1
- Open(G)PIAS: An open source solution for the construction of a high-precision Acoustic-Startle-Response (ASR) setup for tinnitus screening and threshold estimation in rodents q-bio.NC · 2018 · author #10
- A statistical method for analyzing and comparing spatiotemporal cortical activation patterns q-bio.QM · 2016 · author #3
- Stochastic resonance controlled upregulation of internal noise after hearing loss as a putative correlate of tinnitus-related neuronal hyperactivity q-bio.QM · 2016 · author #3
Mentions
- 2506.08511 #6 · arxiv_oai · confidence 0.70 Achim Schilling
- 2505.22047 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2502.04789 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2501.10072 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2501.08145 #4 · arxiv_oai · confidence 0.70 Achim Schilling
- 2501.08053 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2412.14804 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2412.14670 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2411.16262 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2411.10047 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2408.05579 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2408.04270 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2408.03062 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2405.02024 #6 · arxiv_oai · confidence 0.70 Achim Schilling
- 2401.01364 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2311.16621 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2301.12892 #4 · arxiv_oai · confidence 0.70 Achim Schilling
- 2307.01577 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2302.07588 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2301.06755 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2210.16062 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2004.13532 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 1811.01753 #1 · arxiv_oai · confidence 0.70 Achim Schilling
- 2206.01922 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2204.03354 #1 · arxiv_oai · confidence 0.70 Achim Schilling
- 2202.11190 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 2010.01914 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 1911.10988 #4 · arxiv_oai · confidence 0.70 Achim Schilling
- 1811.02335 #1 · arxiv_oai · confidence 0.70 Achim Schilling
- 1804.09667 #10 · arxiv_oai · confidence 0.70 Achim Schilling
- 1811.12091 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 1811.05225 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 1611.07677 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 1603.04721 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 2606.26733 #3 · arxiv_oai · confidence 0.70 Achim Schilling
- 2606.17736 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2605.24585 #2 · arxiv_oai · confidence 0.70 Achim Schilling
- 2603.29617 #4 · arxiv_oai · confidence 0.70 Achim Schilling
Frequent Coauthors
- Patrick Krauss 38 shared papers
- Claus Metzner 19 shared papers
- Andreas Maier 16 shared papers
- Holger Schulze 10 shared papers
- Konstantin Tziridis 8 shared papers
- Thomas Kinfe 6 shared papers
- Paul Stoewer 5 shared papers
- Richard Gerum 4 shared papers
- Mathis Immertreu 3 shared papers
- Maximilian Traxdorf 3 shared papers
- Pegah Ramezani 3 shared papers
- Ali Ghebleh 2 shared papers
- Hassane Kissane 2 shared papers
- Karin Prebeck 2 shared papers
- Richard C. Gerum 2 shared papers
- Alexandra Zankl 1 shared papers
- Andr\'e Erpenbeck 1 shared papers
- Awritrojit Banerjee 1 shared papers
- Christian Schlieker 1 shared papers
- Dennis Voelkl 1 shared papers