Phase-coded oscillatory ordering promotes the separation of closely matched representations to optimize perceptual discrimination
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'It has been proposed that low-frequency oscillations are involved in separating neuronal representations belonging to different stimulus items. Indeed, item-specific neuronal activity was found to cluster on different oscillatory phases. However, the consequences of this neural mechanism for perception are unknown. Here, we investigated whether and how neuronal item separation through oscillatory clustering influences perceptual item separation. In an EEG experiment, participants categorized sounds parametrically varying in pitch, relative to an arbitrary pitch boundary. We found that pre-stimulus oscillatory phase, in the theta and alpha ranges, biased near-boundary sound categorization responses to one category or the other. Phase also modulated whether evoked neuronal responses more closely resembled the sound envelope of one or anot' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Alpha oscillations","Discrimination","EEG","Phase-coding","Signal detection","Theta oscillations"]} <|eot_id|>
 Here is the Description of a dataset. Description:'It has been proposed that low-frequency oscillations are involved in separating neuronal representations belonging to different stimulus items. Indeed, item-specific neuronal activity was found to cluster on different oscillatory phases. However, the consequences of this neural mechanism for perception are unknown. Here, we investigated whether and how neuronal item separation through oscillatory clustering influences perceptual item separation. In an EEG experiment, participants categorized sounds parametrically varying in pitch, relative to an arbitrary pitch boundary. We found that pre-stimulus oscillatory phase, in the theta and alpha ranges, biased near-boundary sound categorization responses to one category or the other. Phase also modulated whether evoked neuronal responses more closely resembled the sound envelope of one or anot' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
It has been proposed that low-frequency oscillations are involved in separating neuronal representations belonging to different stimulus items. Indeed, item-specific neuronal activity was found to cluster on different oscillatory phases. However, the consequences of this neural mechanism for perception are unknown. Here, we investigated whether and how neuronal item separation through oscillatory clustering influences perceptual item separation. In an EEG experiment, participants categorized sounds parametrically varying in pitch, relative to an arbitrary pitch boundary. We found that pre-stimulus oscillatory phase, in the theta and alpha ranges, biased near-boundary sound categorization responses to one category or the other. Phase also modulated whether evoked neuronal responses more closely resembled the sound envelope of one or anot
Alpha oscillations; Discrimination; EEG; Phase-coding; Signal detection; Theta oscillations