Results 51 to 60 of about 649,550 (269)
Active Inference and Learning in the Cerebellum [PDF]
Neural Computation, 2016 This letter offers a computational account of Pavlovian conditioning in the cerebellum based on active inference and predictive coding. Using eyeblink conditioning as a canonical paradigm, we formulate a minimal generative model that can account for spontaneous blinking, startle responses, and (delay or trace) conditioning.
Karl J. Friston, Ivan Herreros-Alonso
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A Variational Synthesis of Evolutionary and Developmental Dynamics
Entropy, 2023 This paper introduces a variational formulation of natural selection, paying special attention to the nature of ‘things’ and the way that different ‘kinds’ of ‘things’ are individuated from—and influence—each other.
Karl Friston +6 more
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The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes [PDF]
, 2014 Dopamine plays a key role in learning; however, its exact function in decision making and choice remains unclear. Recently, we proposed a generic model based on active (Bayesian) inference wherein dopamine encodes the precision of beliefs about optimal ...
Dolan, Ray +4 more
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Visual Search as Active Inference [PDF]
, 2020 Visual search is an essential cognitive ability, offering a prototypical control problem to be addressed with Active Inference. Under a Naive Bayes assumption, the maximization of the information gain objective is consistent with the separation of the visual sensory flow in two independent pathways, namely the “What” and the “Where” pathways.
Daucé, Emmanuel, Perrinet, Laurent U
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Deep Active Inference and Scene Construction
Frontiers in Artificial Intelligence, 2020 Adaptive agents must act in intrinsically uncertain environments with complex latent structure. Here, we elaborate a model of visual foraging—in a hierarchical context—wherein agents infer a higher-order visual pattern (a “scene”) by sequentially ...
R. Conor Heins +11 more
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Active inference and agency [PDF]
Cognitive Neuroscience, 2014 I greatly enjoyed Seth's compelling synthesis of sensorimotor contingencies and active inference. I would also like to thank Jim Hopkins for sending me the quote (below)-which speaks directly to the embodied nature of perceptual inference that underlies the perspectives reconciled in Seth (this issue).
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Approximate inference in hidden Markov models using iterative active state selection [PDF]
, 2006 The inferential task of computing the marginal posterior probability mass functions of state variables and pairs of consecutive state variables of a hidden Markov model is considered.
Andrieu, C, Piechocki, RJ, Vithanage, CM
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Limits on Active-Sterile Neutrino Mixing and the Primordial Deuterium Abundance [PDF]
, 1996 Studies of limits on active-sterile neutrino mixing derived from big bang nucleosynthesis considerations are extended to consider the dependance of these constraints on the primordial deuterium abundance. This study is motivated by recent measurements of
A. Songaila +39 more
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Active inference and the two-step task
Scientific Reports, 2022 Sequential decision problems distill important challenges frequently faced by humans. Through repeated interactions with an uncertain world, unknown statistics need to be learned while balancing exploration and exploitation.
Sam Gijsen +2 more
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Reinforcement learning or active inference?
PLoS ONE, 2009 This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception.
Karl J Friston +2 more
doaj +1 more source