Search Results for author: Conor Heins

Found 5 papers, 2 papers with code

Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models

no code implementations26 Jul 2022 Miguel Aguilera, Ángel Poc-López, Conor Heins, Christopher L. Buckley

Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilitating inference-like behaviour in living systems.

Particular flows and attracting sets: A comment on "How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley

no code implementations19 May 2022 Conor Heins

However, in this commentary I focus on the flow of particular states (internal and blanket states) and their variational free energy gradients, and show that for a wide but restricted class of solenoidal couplings, the average flow of these systems point along variational free energy gradients.

pymdp: A Python library for active inference in discrete state spaces

1 code implementation11 Jan 2022 Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl Friston, Iain Couzin, Alexander Tschantz

Active inference is an account of cognition and behavior in complex systems which brings together action, perception, and learning under the theoretical mantle of Bayesian inference.

Bayesian Inference

Sparse convolutional coding for neuronal assembly detection

1 code implementation NeurIPS 2017 Sven Peter, Elke Kirschbaum, Martin Both, Lee Campbell, Brandon Harvey, Conor Heins, Daniel Durstewitz, Ferran Diego, Fred A. Hamprecht

Cell assemblies, originally proposed by Donald Hebb (1949), are subsets of neurons firing in a temporally coordinated way that gives rise to repeated motifs supposed to underly neural representations and information processing.

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