Published a paper on rhythmic precision-modulated action and perception in 'Frontiers in Neurorobotics' in 2022.
In the same year, contributed to 'Plos Computational Biology' with work unifying intentional and conflict-resolution imperatives of motor control via active inference.
Also explored how active inference could revolutionize robotics in 'Entropy'.
Continued to publish extensively between 2021 and 2020 on topics ranging from multisensory conflict suppression to deep spiking auto-encoder training at international conferences and journals.
Participated in interdisciplinary studies such as adaptation through prediction for multisensory active inference torque control and body perception and action using deep active inference.
Background
Research interests include robot decision-making, active inference, and its applications in robotics and artificial agents.