
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 27, 2025
Abstract The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to sophisticated internal models of the environment that draw on statistical structures unfolding input. Understanding how and where such modeling proceeds is a core question learning predictive processing. In context, we address role transitional probabilities as an implicit structure supporting encoding temporal random auditory stream. Leveraging information-theoretical principles high spatiotemporal resolution intracranial electroencephalography, analyzed trial-by-trial high-frequency activity representation probabilities. This unique approach enabled us demonstrate automatically continuously encodes stimuli revealed involvement network outside system, including hippocampal, frontal, regions. Our work provides comprehensive picture neural correlates automatic can be crucial substrate for swift detection patterns unexpected events environment.
Language: Английский