A. Schilling

发表

Stochastic Resonance Controlled Upregulation of Internal Noise after Hearing Loss as a Putative Cause of Tinnitus-Related Neuronal Hyperactivity

H. Schulze, U. Hoppe, K. Tziridis, 2016, Front. Neurosci..

Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods

P. Uhrig, P. Krauss, A. Schilling, 2020 .

The Stochastic Resonance model of auditory perception: A unified explanation of tinnitus development, Zwicker tone illusion, and residual inhibition

Holger Schulze, Achim Schilling, Patrick Krauss, 2020, bioRxiv.

Analysis of Audiometric Differences of Patients with and without Tinnitus in a Large Clinical Database

Holger Schulze, Achim Schilling, Ulrich Hoppe, 2017, Front. Neurol..

Weight statistics controls dynamics in recurrent neural networks

Holger Schulze, Achim Schilling, Patrick Krauss, 2018, bioRxiv.

Stochastic resonance in three-neuron motifs

P. Krauss, C. Metzner, A. Schilling, 2018, 1811.12091.

Cell Adhesion on Surface-Functionalized Magnesium.

Richard C. Gerum, B. Fabry, S. Virtanen, 2016, ACS applied materials & interfaces.

Predictive coding and stochastic resonance as fundamental principles of auditory perception

Richard C. Gerum, H. Schulze, F. Zeng, 2022, 2204.03354.

Classification at the accuracy limit: facing the problem of data ambiguity

H. Schulze, K. Tziridis, P. Krauss, 2022, Scientific reports.

Neural network based successor representations to form cognitive maps of space and language

C. Schlieker, P. Krauss, C. Metzner, 2022, Scientific Reports.

β-Secretase BACE1 Is Required for Normal Cochlear Function

H. Schulze, C. Alzheimer, C. Birchmeier, 2019, The Journal of Neuroscience.

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

P. Krauss, A. Schilling, Andreas Maier, 2022, ArXiv.

Deep learning based decoding of local field potential events

Andreas K. Maier, Richard C. Gerum, P. Krauss, 2022, bioRxiv.

A New Statistical Approach for the Evaluation of Gap-prepulse Inhibition of the Acoustic Startle Reflex (GPIAS) for Tinnitus Assessment

Richard C. Gerum, H. Schulze, K. Tziridis, 2017, Front. Behav. Neurosci..

Behavioral assessment of Zwicker tone percepts in rodents

H. Schulze, K. Tziridis, P. Krauss, 2022, bioRxiv.

Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach

Achim Schilling, Richard C. Gerum, A. Schilling, 2021, Neural Computation.

Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning pdf

Richard C. Gerum, Achim Schilling, Richard C. Gerum, 2020, ArXiv.

Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception

Richard C. Gerum, H. Schulze, F. Zeng, 2022, ArXiv.

Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods

Andreas Maier, Martin Haller, Andreas K. Maier, 2020, bioRxiv.

Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages

H. Schulze, P. Krauss, C. Metzner, 2021, Communications biology.

Cross-Modal Stochastic Resonance as a Universal Principle to Enhance Sensory Processing

Achim Schilling, Holger Schulze, Patrick Krauss, 2018, Front. Neurosci..

Migration in Confined 3D Environments Is Determined by a Combination of Adhesiveness, Nuclear Volume, Contractility, and Cell Stiffness.

B. Fabry, A. Rowat, R. Strick, 2015, Biophysical journal.

Neural correlates of linguistic collocations during continuous speech perception

P. Krauss, A. Schilling, Alexandra Zankl, 2022, bioRxiv.

The stochastic resonance model of auditory perception: A unified explanation of tinnitus development, Zwicker tone illusion, and residual inhibition.

H. Schulze, K. Tziridis, P. Krauss, 2021, Progress in brain research.

Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway

Andreas Maier, Patrick Krauss, Alexandra Zankl, 2020, bioRxiv.

Analysis of Multichannel EEG Patterns During Human Sleep: A Novel Approach

Holger Schulze, Achim Schilling, Claus Metzner, 2018, Front. Hum. Neurosci..

A statistical method for analyzing and comparing spatiotemporal cortical activation patterns

Holger Schulze, Christo Pantev, Stefan Rampp, 2016, Scientific Reports.

Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts

P. Krauss, A. Schilling, Andreas Maier, 2023, Scientific Reports.

Neural Network based Successor Representations of Space and Language

C. Schlieker, P. Krauss, C. Metzner, 2022, ArXiv.

Microstructure of cortical activity during sleep reflects respiratory events and state of daytime vigilance

Holger Schulze, Achim Schilling, Maximilian Traxdorf, 2019, Somnologie.

Word class representations spontaneously emerge in a deep neural network trained on next word prediction

P. Krauss, A. Schilling, K. Surendra, 2023, ArXiv.

Treatment of keratinocytes with 4-phenylbutyrate in epidermolysis bullosa: Lessons for therapies in keratin disorders

Richard C. Gerum, B. Fabry, J. Dengjel, 2019, EBioMedicine.

Innovations in Measuring Cellular Mechanics 14

Richard C. Gerum, W. Goldmann, A. Schilling, 2016 .

Innovations in Measuring Cellular Mechanics

Richard C. Gerum, W. Goldmann, A. Schilling, 2016 .

Adaptive stochastic resonance for unknown and variable input signals

Ben Fabry, Christian Schütz, Claus Metzner, 2017, Scientific Reports.

Analysis and visualization of sleep stages based on deep neural networks

Andreas Maier, Patrick Krauss, Holger Schulze, 2020, bioRxiv.

Sparsity through evolutionary pruning prevents neuronal networks from overfitting

Richard C. Gerum, P. Krauss, A. Schilling, 2019, Neural Networks.

Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages

H. Schulze, P. Krauss, C. Metzner, 2021, Communications Biology.

Towards a Cognitive Computational Neuroscience of Auditory Phantom Perceptions.

Patrick Krauss, Achim Schilling, P. Krauss, 2020, 2010.01914.

Measuring mechanical properties in cells: three easy methods for biologists

W. H. Goldmann, Richard C. Gerum, W. Goldmann, 2014, Cell biology international.

Analysis of Structure and Dynamics in Three-Neuron Motifs

Achim Schilling, Holger Schulze, Claus Metzner, 2018, Front. Comput. Neurosci..

Tinnitus is associated with improved cognitive performance and speech perception–Can stochastic resonance explain?

P. Krauss, A. Schilling, 2022, Frontiers in Aging Neuroscience.

Spectrally Matched Near-Threshold Noise for Subjective Tinnitus Loudness Attenuation Based on Stochastic Resonance

H. Schulze, K. Tziridis, P. Krauss, 2022, Frontiers in Neuroscience.

Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures

Richard C. Gerum, Achim Schilling, Richard C. Gerum, 2020, 2004.13532.

Tinnitus development is associated with synaptopathy of inner hair cells in Mongolian gerbils

H. Schulze, K. Tziridis, P. Krauss, 2018, bioRxiv.

Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data

Andreas Maier, Achim Schilling, Patrick Krauss, 2021, Bildverarbeitung für die Medizin.

Attentional modulation of the cortical contribution to the frequency-following response evoked by continuous speech

T. Reichenbach, P. Krauss, A. Schilling, 2023, bioRxiv.

Open(G)PIAS: An Open-Source Solution for the Construction of a High-Precision Acoustic Startle Response Setup for Tinnitus Screening and Threshold Estimation in Rodents

Walter Kellermann, Michael Günther, Achim Schilling, 2018, Front. Behav. Neurosci..

Therapeutic Value of Ginkgo biloba Extract EGb 761® in an Animal Model (Meriones unguiculatus) for Noise Trauma Induced Hearing Loss and Tinnitus

H. Schulze, K. Tziridis, P. Krauss, 2016, PloS one.

Early subcortical response at the fundamental frequency of continuous speech measured with MEG

T. Reichenbach, P. Krauss, A. Schilling, 2023, bioRxiv.

A Founder Mutation in EHD1 Presents with Tubular Proteinuria and Deafness

H. Schulze, P. Oefner, L. Tabernero, 2022, Journal of the American Society of Nephrology : JASN.

Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology

Richard C. Gerum, P. Krauss, A. Schilling, 2023, IEEE International Joint Conference on Neural Network.

Quantifying the separability of data classes in neural networks

Andreas K. Maier, Achim Schilling, Patrick Krauss, 2018, Neural Networks.

Quantifying and maximizing the information flux in recurrent neural networks

Marius E. Yamakou, P. Krauss, C. Metzner, 2023, ArXiv.

Recurrence Resonance” in Three-Neuron Motifs

Patrick Krauss, Achim Schilling, Claus Metzner, 2019, Front. Comput. Neurosci..

A statistical method for analyzing and comparing spatiotemporal cortical activation patterns

H. Schulze, C. Pantev, K. Tziridis, 2018, Scientific Reports.

Determining the mechanical properties of plectin in mouse myoblasts and keratinocytes

W. H. Goldmann, B. Fabry, W. Goldmann, 2015, Experimental cell research.

Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings

P. Krauss, A. Schilling, Andreas Maier, 2023, ArXiv.

Objective Estimation of Sensory Thresholds Based on Neurophysiological Parameters

Achim Schilling, Claus Metzner, Holger Schulze, 2018, Front. Neurosci..

Reduktion der Tinnituslautstärke

A. Schilling, R. Hannemann, Patrick Krauss, 2020, HNO.

Acute and Long-Term Circuit-Level Effects in the Auditory Cortex After Sound Trauma

Max F. K. Happel, H. Schulze, F. Ohl, 2020, bioRxiv.

Modelle der Tinnitusentstehung

K. Tziridis, P. Krauss, A. Schilling, 2019, HNO.

Erlanger Modell der Tinnitusentstehung – Perspektivwechsel und neue Behandlungsstrategie

H. Schulze, K. Tziridis, P. Krauss, 2023, HNO.

Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception

Richard C. Gerum, H. Schulze, F. Zeng, 2023, Brain : a journal of neurology.

Extracting continuous sleep depth from EEG data without machine learning

H. Schulze, K. Tziridis, P. Krauss, 2023, Neurobiology of sleep and circadian rhythms.

How deep is deep enough? - Optimizing deep neural network architecture pdf

Achim Schilling, Holger Schulze, Claus Metzner, 2018, ArXiv.