Juan R. Castiñeiras de Saa

This paper develops a mathematical framework for optimal control of spiking neural networks, using a feedback controller to steer network dynamics towards target states.

The paper develops a theory of perceptual decision-making that frames disengagement as a cognitive control problem, showing how control limitations affect performance and behavior.

This study shows that Weber's law arises from bounded evidence accumulation in rats, as evidenced by level-invariant discrimination accuracy and reaction times.