output
20212023
most citedOn Bayesian Mechanics: A Physics of and by Beliefs

119 citations

9 papers

nlin.AO2023★ 52 cited

Collective behavior from surprise minimization

Conor Heins, Beren Millidge, Lancelot da Costa +3

Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges from…

q-bio.NC2023★ 8 cited

Sequential Memory with Temporal Predictive Coding

Mufeng Tang, Helen Barron, Rafal Bogacz

Forming accurate memory of sequential stimuli is a fundamental function of biological agents. However, the computational mechanism underlying sequential memory in the brain remains…

cs.AI2022★ 42 cited

Designing Ecosystems of Intelligence from First Principles

Karl J Friston, Maxwell J D Ramstead, Alex B Kiefer +17

This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosyste…

cond-mat.stat-mech2022★ 119 cited

On Bayesian Mechanics: A Physics of and by Beliefs

Maxwell J. D. Ramstead, Dalton A. R. Sakthivadivel, Conor Heins +5

The aim of this paper is to introduce a field of study that has emerged over the last decade called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising…

eess.SP2022★ 5 cited

Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy -- a case study in epilepsy

Ali Kavoosi, Robert Toth, Moaad Benjaber +4

This work explores the potential utility of neural network classifiers for real-time classification of field-potential based biomarkers in next-generation responsive neuromodulatio…

cs.AI2022★ 2 cited

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

Conor Heins, Beren Millidge, Daphne Demekas +4

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 inferenc…

cs.LG2021★ 31 cited

Associative Memories via Predictive Coding

Tommaso Salvatori, Yuhang Song, Yujian Hong +5

Associative memories in the brain receive and store patterns of activity registered by the sensory neurons, and are able to retrieve them when necessary. Due to their importance in…

eess.SY2021★ 35 cited

Embedding digital chronotherapy into medical devices -- A canine validation for controlling status epilepticus through multi-scale rhythmic brain stimulation

Mayela Zamora, Sebastian Meller, Filip Kajin +10

Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in…

q-bio.NC2021★ 9 cited

How particular is the physics of the free energy principle?

Miguel Aguilera, Beren Millidge, Alexander Tschantz +1

The free energy principle (FEP) states that any dynamical system can be interpreted as performing Bayesian inference upon its surrounding environment. In this work, we examine in d…