Modelling journal club!
Experimental validation of the free-energy principle with in vitro neural networks.
Lab News
Papers, preprints, grants, talks, software releases, jobs, awards, and media from the Computational Psychiatry & Neuropharmacological Systems lab.
Alessia's new preprint: Dynamics-Informed Priors (DIP) for Neural Mass Modelling
Alessia's new preprint on deriving dynamics informed priors for neural masses.
Live Demo of the Active Inference agent playing Pong
Live demo of the Thermodynamic Variational Laplace driven Active Inference agent playing Pong! With controls...
Preprint: Females with epilepsy show abnormal changes to perimenstrual sensory induced long-term potentiation
New preprint in colaboration with Rachael Sumners gang in Auckland. EEG and modelling across the menstrual cycle in catamedial epilepsy
Preprint: Sleep as a window into thalamocortical pathology: generative modeling implicates NMDA receptor hypofunction in 22q11.2 deletion syndrome
The first preprint from the Sleep Detectives!
Paper: Restoring Synaptic Balance in Schizophrenia: Insights from a thalamo-cortical conductance-based model
We just had a paper in accepted in Schizophrenia Bulletin.
Preprint: Toward a reusable architecture for intelligent agents
We outline a reusable, modular generative model for active inference agents and show Pong/drone demos with thermodynamic Variational Laplace.
Julia implementation of Therodynamic Variational Laplace
Adds low‑rank covariance, heteroscedastic noise, and thermodynamic integration.
New industry PhD studentship and collaboration
Following some successful collaborations with GABA Labs, we are offering a fully-funded PhD to continue working on EEG and modelling of functional drinks.
Preprint: A Neuro‑Inspired Computational Framework for AGI: Predictive Coding, Active Inference, and Free Energy Minimisation
We outline a roadmap to AGI drawing on theoretical neuroscience and particularly the Free Energy Principal and Active Inference
Preprint: Predictive Coding and Neurocomputational Psychiatry: A Mechanistic Framework for Understanding Mental Disorders
In this prospective piece we propose a predictive coding perspective on mental disorders and illustrate how such a framework can lead to testable hypotheses of pathophysiology