Neural processing of real-world temporal patterns Evidence from smartphone behavior

Real-world human behavior exhibits complex temporal patterns, yet the neural processes underlying such temporally structured behavior are not well understood. As ubiquitous, sensor-rich mobile devices, smartphones provide a powerful window into natural behavior and their diverse temporal structure has been documented in our lab’s previous work. Combining smartphone behavior with scalp EEG therefore provides a powerful framework for investigating neural processing of temporal patterns in naturalistic human behavior.
Here, we addressed whether and how the brain processes the temporal patterns of smartphone interactions. Participants used their smartphone freely during EEG recording. The obtained EEG signals are a mixture of various neural processes underlying smartphone use. We isolated a range of neural processes from EEG signals and employed a series of novel approaches, revealing that temporal processing is an intrinsic ability of the brain.
We observed that distributed neural processes are engaged in the processing of the temporal patterns of smartphone use. These findings not only advance our understanding of the neuroscience underlying smartphone behavior but also reveal a more fundamental principle of brain function: the brain may continuously track and adapt to the temporal statistics of real-world behaviors. This rapid, context-dependent neural alignment may be a key mechanism supporting fluid and efficient human-computer interaction more broadly.