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Found 6 papers, 2 papers with code
Networks' modulation: How different structural network properties affect the global synchronization of coupled Kuramoto oscillators
These nodes are chosen either randomly or based on their respective strong/weak connectivity properties (centrality, shortest path length and clustering coefficient).
On the Relationship Between Variational Inference and Auto-Associative Memory
In this article, we propose a variational inference formulation of auto-associative memories, allowing us to combine perceptual inference and memory retrieval into the same mathematical framework.
A Predictive Coding Account for Chaotic Itinerancy
As a phenomenon in dynamical systems allowing autonomous switching between stable behaviors, chaotic itinerancy has gained interest in neurorobotics research.
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference
In this work, we build upon the Active Inference (AIF) and Predictive Coding (PC) frameworks to propose a neural architecture comprising a generative model for sensory prediction, and a distinct generative model for motor trajectories.
Towards a Neural Model for Serial Order in Frontal Cortex: a Brain Theory from Memory Development to Higher-Level Cognition
We propose that the immature prefrontal cortex (PFC) use its primary functionality of detecting hierarchical patterns in temporal signals as a second purpose to organize the spatial ordering of the cortical networks in the developing brain itself.
Autonomous learning and chaining of motor primitives using the Free Energy Principle
In this article, we apply the Free-Energy Principle to the question of motor primitives learning.
