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

Candidate Key Proteins in Tinnitus—A Bioinformatic Study of Synaptic Transmission in the Inferior Colliculus DOI Open Access

Johann Gross,

Marlies Knipper, Birgit Mazurek

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 1831 - 1831

Published: Feb. 20, 2025

Proteins involved in synaptic transmission normal hearing, acoustic stimulation, and tinnitus were identified using protein–protein interaction (PPI) networks. The gene list for was compiled from the GeneCards database keywords “synaptic transmission” AND “inferior colliculus” “tinnitus” (Tin). For comparison, two lists built “auditory perception” (AP) “acoustic stimulation” (AS). STRING Cytoscape data analyzer used to identify top high-degree proteins (HDPs) corresponding high-score (HSIP). top1 key of AP AS processes are BDNF receptor NTRK2; top2 process PVALB, together with GAD1, CALB1, CALB2, which important balance excitation inhibition. In process, FOS, CREB1, EGR1, MAPK1, reflecting an activated state. Tin BDNF, NTRK3, NTF3; these associated proliferation differentiation neurons indicate remodeling IC. GFAP S100B, indicating a role astrocytes modulation transmission.

Language: Английский

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