3 papers
cs.AI2025
Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm
Amrapali Pednekar, Álvaro Garrido-Pérez, Yara Khaluf +1
This study explores the interference in temporal processing within a dual-task paradigm from an artificial intelligence (AI) perspective. In this context, the dual-task setup is im…
q-bio.NC2025
Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task
Amrapali Pednekar, Alvaro Garrido, Pieter Simoens +1
Drawing parallels between Deep Artificial Neural Networks (DNNs) and biological systems can aid in understanding complex biological mechanisms that are difficult to disentangle. Te…
cs.HC2024
Predicting change in time production -- A machine learning approach to time perception
Amrapali Pednekar, Alvaro Garrido, Yara Khaluf +1
Time perception research has advanced significantly over the years. However, some areas remain largely unexplored. This study addresses two such under-explored areas in timing rese…