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Article
Open AccessCarving teleology at its joints
This paper addresses the conceptualisation and measurement of goal-directedness. Drawing inspiration from Ernst Mayr’s demarcation between multiple meanings of teleology, we propose a refined approach that del...
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Article
Open AccessNatural language syntax complies with the free-energy principle
Natural language syntax yields an unbounded array of hierarchically structured expressions. We claim that these are used in the service of active inference in accord with the free-energy principle (FEP). While...
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Article
Open AccessCerebellar state estimation enables resilient coupling across behavioural domains
Cerebellar computations are necessary for fine behavioural control and may rely on internal models for estimation of behaviourally relevant states. Here, we propose that the central cerebellar function is to e...
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Chapter
The Bayesian Brain and Tinnitus
There is strong and growing evidence for ‘Bayesian’ accounts of brain function, such as predictive coding, in which perception depends upon internally generated models of the sensorium, which are updated and r...
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Chapter and Conference Paper
Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making
This paper investigates the prospect of develo** human-interpretable, explainable artificial intelligence (AI) systems based on active inference and the free energy principle. We first provide a brief overvi...
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Article
Open AccessHierarchical generative modelling for autonomous robots
Humans generate intricate whole-body motions by planning, executing and combining individual limb movements. We investigated this fundamental aspect of motor control and approached the problem of autonomous ta...
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Article
Open AccessGenerative models for sequential dynamics in active inference
A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics. Notabl...
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Article
Open AccessComputational psychiatry: from synapses to sentience
This review considers computational psychiatry from a particular viewpoint: namely, a commitment to explaining psychopathology in terms of pathophysiology. It rests on the notion of a generative model as underwri...
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Article
Open AccessFrom Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology
This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as computational phenomenology becau...
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Article
Open AccessMetastable oscillatory modes emerge from synchronization in the brain spacetime connectome
A rich repertoire of oscillatory signals is detected from human brains with electro- and magnetoencephalography (EEG/MEG). However, the principles underwriting coherent oscillations and their link with neural ...
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Article
Open AccessPublisher Correction: Brain information processing capacity modelling
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Article
Open AccessBrain information processing capacity modeling
Neurophysiological measurements suggest that human information processing is evinced by neuronal activity. However, the quantitative relationship between the activity of a brain region and its information proc...
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Chapter
Affordance and Active Inference
This chapter considers affordance from the point of view of active inference, namely, a first principle account of how we choose what to sample from our sensorium. In brief, it considers the imperatives for an...
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Article
Open AccessEmbodied skillful performance: where the action is
When someone masters a skill, their performance looks to us like second nature: it looks as if their actions are smoothly performed without explicit, knowledge-driven, online monitoring of their performance. C...
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Article
Open AccessImmunoceptive inference: why are psychiatric disorders and immune responses intertwined?
There is a steadily growing literature on the role of the immune system in psychiatric disorders. So far, these advances have largely taken the form of correlations between specific aspects of inflammation (e....
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Article
Open AccessActive inference under visuo-proprioceptive conflict: Simulation and empirical results
It has been suggested that the brain controls hand movements via internal models that rely on visual and proprioceptive cues about the state of the hand. In active inference formulations of such models, the re...
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Chapter and Conference Paper
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events
In this paper, we combine sophisticated and deep-parametric active inference to create an agent whose affective states change as a consequence of its Bayesian beliefs about how possible future outcomes will a...
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Article
Open AccessIntroducing a Bayesian model of selective attention based on active inference
Information gathering comprises actions whose (sensory) consequences resolve uncertainty (i.e., are salient). In other words, actions that solicit salient information cause the greatest shift in beliefs (i.e.,...
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Article
Open AccessEstimating Directed Connectivity from Cortical Recordings and Reconstructed Sources
In cognitive neuroscience, electrical brain activity is most commonly recorded at the scalp. In order to infer the contributions and connectivity of underlying neuronal sources within the brain, it is necessar...
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Article
Open AccessThe emergence of synchrony in networks of mutually inferring neurons
This paper considers the emergence of a generalised synchrony in ensembles of coupled self-organising systems, such as neurons. We start from the premise that any self-organising system complies with the free ...
