Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception
Mechanistic insight is achieved only when experiments are employed to test formal or
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
computational models. Furthermore, in analogy to lesion studies, phantom perception may …
[HTML][HTML] Linguistic signs in action: The neuropragmatics of speech acts
R Tomasello - Brain and Language, 2023 - Elsevier
What makes human communication exceptional is the ability to grasp speaker's intentions
beyond what is said verbally. How the brain processes communicative functions is one of …
beyond what is said verbally. How the brain processes communicative functions is one of …
Neural network based successor representations to form cognitive maps of space and language
P Stoewer, C Schlieker, A Schilling, C Metzner… - Scientific Reports, 2022 - nature.com
How does the mind organize thoughts? The hippocampal-entorhinal complex is thought to
support domain-general representation and processing of structural knowledge of arbitrary …
support domain-general representation and processing of structural knowledge of arbitrary …
[HTML][HTML] Intrinsic noise improves speech recognition in a computational model of the auditory pathway
Noise is generally considered to harm information processing performance. However, in the
context of stochastic resonance, noise has been shown to improve signal detection of weak …
context of stochastic resonance, noise has been shown to improve signal detection of weak …
Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts
How do we make sense of the input from our sensory organs, and put the perceived
information into context of our past experiences? The hippocampal-entorhinal complex …
information into context of our past experiences? The hippocampal-entorhinal complex …
Attentional modulation of the cortical contribution to the frequency-following response evoked by continuous speech
Selective attention to one of several competing speakers is required for comprehending a
target speaker among other voices and for successful communication with them. It moreover …
target speaker among other voices and for successful communication with them. It moreover …
[HTML][HTML] Recognition of grammatical class of imagined words from EEG signals using convolutional neural network
S Datta, NV Boulgouris - Neurocomputing, 2021 - Elsevier
In this paper we propose a framework using multi-channel convolutional neural network (MC–
CNN) for recognizing the grammatical class (verb or noun) of covertly-spoken words from …
CNN) for recognizing the grammatical class (verb or noun) of covertly-spoken words from …
[HTML][HTML] Extracting continuous sleep depth from EEG data without machine learning
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 …
in electroencephalographic (EEG) and other bio-signals by trained specialists or machine …
Word class representations spontaneously emerge in a deep neural network trained on next word prediction
K Surendra, A Schilling, P Stoewer, A Maier… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …
fundamental questions are still hotly debated. In contemporary linguistics, there are two …
Classification at the accuracy limit: facing the problem of data ambiguity
Data classification, the process of analyzing data and organizing it into categories or
clusters, is a fundamental computing task of natural and artificial information processing …
clusters, is a fundamental computing task of natural and artificial information processing …