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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
Cognitive Effort in the Two-Step Task: An Active Inference Drift-Diffusion Model Approach
Alvaro Garrido Perez, Viktor Lemoine, Amrapali Pednekar +2
High-level theories rooted in the Bayesian Brain Hypothesis often frame cognitive effort as the cost of resolving the conflict between habits and optimal policies. In parallel, evi…
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…