Alekh Karkada Ashok

Monkeys engage in visual simulation to solve complex problems

Ecological data and objectives align deep neural network representations with humans

Computing a human-like reaction time metric from stable recurrent vision models

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

Recurrent neural circuits

Toward modeling visual routines of object segmentation with biologically inspired recurrent vision models

Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning

The emergence of visual simulation in task-optimized recurrent neural networks