José Antonio Villacorta-Atienza

This paper extends a computational model of time compaction theory to account for waiting and speed modulation in dynamic environments, demonstrating its ability to generate adaptive behavior in simulated football scenarios.

The paper shows that human predictions of motion are biased toward future interaction points, even when this reduces accuracy, suggesting a fundamental role of future interactions in predictive cognition.

This study shows that dynamic stimuli involving future interactions are better recalled than static or simpler stimuli, suggesting memory encodes these as static interaction maps, aiding decision-making in complex environments.

This study shows rats can internally represent dynamic environments as static maps that capture future interactions, highlighting the ecological importance of dynamic stimuli.

This paper benchmarks axon length estimation tools using simulated and real data to evaluate accuracy, efficiency, and practicality for different research contexts.