Nicolas Legrand
@nicolaslegrand.bsky.social
Senior Researcher in computational cognitive science @ Center for Humanities Computing, Aarhus University.
Active inference - LLM - Reinforcement learning - Bayesian modelling | Creating a neural network library for predictive coding.
Active inference - LLM - Reinforcement learning - Bayesian modelling | Creating a neural network library for predictive coding.
This might open tons of modelling possibilities (see Figure 4), both in their static or dynamic versions.
October 21, 2024 at 9:03 AM
This might open tons of modelling possibilities (see Figure 4), both in their static or dynamic versions.
...to parameter recovery and model comparison.
October 21, 2024 at 8:59 AM
...to parameter recovery and model comparison.
But the nicest part, if you are interested in computational psychiatry, is the automated model inversion that naturally leads to gradient or sampling-based optimisation and inference methods. We’ve illustrated this workflow in the paper—from network creation...
October 21, 2024 at 8:58 AM
But the nicest part, if you are interested in computational psychiatry, is the automated model inversion that naturally leads to gradient or sampling-based optimisation and inference methods. We’ve illustrated this workflow in the paper—from network creation...
📄Unlocking Dynamic Neural Networks for Bayesian Modelling with PyHGF
Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇
Paper: arxiv.org/abs/2410.09206
Code: github.com/ilabcode/pyhgf
Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇
Paper: arxiv.org/abs/2410.09206
Code: github.com/ilabcode/pyhgf
October 21, 2024 at 8:47 AM
📄Unlocking Dynamic Neural Networks for Bayesian Modelling with PyHGF
Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇
Paper: arxiv.org/abs/2410.09206
Code: github.com/ilabcode/pyhgf
Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇
Paper: arxiv.org/abs/2410.09206
Code: github.com/ilabcode/pyhgf