Neural Coincidence Detection Strategies during Perception of Multi-Pitch Musical Tones DOI Creative Commons
Rolf Bader

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7446 - 7446

Published: Aug. 23, 2024

Multi-pitch perception is investigated in a listening test using 30 recordings of musical sounds with two tones played simultaneously, except for gong inharmonic overtone spectra, judging roughness and separateness as the ability to tell each recording apart. Of sounds, 13 were from Western guitar playing all intervals one octave, other mainly non-Western instruments, comparing familiar unfamiliar instrument listeners. Additionally processed cochlea model, transferring mechanical basilar membrane motion into neural spikes followed by post-processing simulating different degrees coincidence detection. Separateness showed clear distinction between while did not. By correlating simulation strategies found. Familiar correlated strongly positively high detection, where only 3–5 periodicities left, low levels. This corresponds an attention pitch timbre, respectively. Additionally, opposite correlation correlates sounds. perceptional finding separateness.

Language: Английский

Efficient spiking neural network design via neural architecture search DOI
Jiaqi Yan, Qianhui Liu, Malu Zhang

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 173, P. 106172 - 106172

Published: Feb. 16, 2024

Language: Английский

Citations

7
Multi-modal cognitive maps for language and vision based on neural successor representations DOI Creative Commons

Paul Stoewer,

Achim Schilling,

Pegah Ramezani

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129662 - 129662

Published: Feb. 1, 2025

Citations

0
Deep learning based decoding of single local field potential events DOI Creative Commons
Achim Schilling, Richard Gerum,

Claudia Boehm

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120696 - 120696

Published: June 21, 2024

How is information processed in the cerebral cortex? In most cases, recorded brain activity averaged over many (stimulus) repetitions, which erases fine-structure of neural signal. However, obviously a single-trial processor. Thus, we here demonstrate that an unsupervised machine learning approach can be used to extract meaningful from electro-physiological recordings on basis. We use auto-encoder network reduce dimensions single local field potential (LFP) events create interpretable clusters different patterns. Strikingly, certain LFP shapes correspond latency differences recording channels. Hence, determine direction flux cortex. Furthermore, after clustering, decoded cluster centroids reverse-engineer underlying prototypical event shapes. To evaluate our approach, applied it both extra-cellular rodents, and intra-cranial EEG humans. Finally, find channel during spontaneous sample realm possible stimulus evoked A finding so far has only been demonstrated for multi-channel population coding.

Language: Английский

Citations

3
Neural Coincidence Detection Strategies during Perception of Multi-Pitch Musical Tones DOI Creative Commons
Rolf Bader

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7446 - 7446

Published: Aug. 23, 2024

Multi-pitch perception is investigated in a listening test using 30 recordings of musical sounds with two tones played simultaneously, except for gong inharmonic overtone spectra, judging roughness and separateness as the ability to tell each recording apart. Of sounds, 13 were from Western guitar playing all intervals one octave, other mainly non-Western instruments, comparing familiar unfamiliar instrument listeners. Additionally processed cochlea model, transferring mechanical basilar membrane motion into neural spikes followed by post-processing simulating different degrees coincidence detection. Separateness showed clear distinction between while did not. By correlating simulation strategies found. Familiar correlated strongly positively high detection, where only 3–5 periodicities left, low levels. This corresponds an attention pitch timbre, respectively. Additionally, opposite correlation correlates sounds. perceptional finding separateness.

Language: Английский

Citations

1