
Riddhi J. Pitliya
@riddhijp
modelling agentic learning in individuals with psychological disorders | computational psychopathology lab | phd student at @UniofOxford, funded by @helloVERSES
ID: 1343545738593263616
28-12-2020 13:14:30
101 Tweet
241 Followers
164 Following




🚨 Preprint alert 🚨 Phenomenology meets computational modelling in the active inference tradition: “Mapping Husserlian phenomenology onto active inference” by Mahault Albarracin, Riddhi J. Pitliya, Jeff Yoshimi, and yours truly arxiv.org/abs/2208.09058 1/5


🚨 New preprint 🚨 “Path integrals, particular kinds, and strange things,” on the path integral formulation of the FEP, and kinds of particles—written with Karl Friston, Lancelot Da Costa, dalton, Conor Heins, Grigorios Pavliotis, Thomas Parr arxiv.org/abs/2210.12761 1/18

🌱 John Ash 🌳 Matthew Pirkowski Captain Pleasure, Andrés Gómez Emilsson Evan McMullen, ἰατρόμαντις of Slack Good question. Prediction errors are unsigned divergences between predictions and outcomes: one can be more or less wrong, but that doesn't track goodness or badness per se. But we've argued hierarchical active inference models can account for valence: direct.mit.edu/neco/article/3… 1/2


🚨Preprint alert🚨 Formalizing resilience with active inference. A 🧵 on our new paper, “Resilience and active inference” by Mark Miller, Riddhi J. Pitliya, q(Alex Kiefer | everything else), Jonas Mago, Claire Gorman, Karl Friston and Maxwell Ramstead. psyarxiv.com/vehq2 1/6










Great report by Angie Voyles Askham on evolution of reward prediction error theory of dopamine. Balanced perspectives. Wish it covered dopamine's role in reducing uncertainty (re: rewards, navigation, etc), which accounts of "rethink[ing of] what the brain cares about reinforcing."

😎Video of the highlights of the IWAI conference in #Oxford Sept 2024: youtube.com/watch?v=vK0X-j… #Neuroscience #Robotics #AI #MachineLearning #CognitiveScience Thanks Riddhi J. Pitliya