Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...

Abstract: Learning the graph topology of a complex network is challenging due to limited data availability and imprecise data models. A common remedy in existing works is to incorporate priors such as ...

NEW DELHI – In the age of disruptive transformation and unpredictable communication streams, policy makers, analysts and stakeholders are in search of panacea that positions a nation uninterruptedly ...

Abstract: Accurately predicting the complex networks dynamics is a challenging task. Many studies have shown that data-driven frameworks offer promising solutions to this issue. However, existing ...

Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...

Neuropsychiatric disorders reflect disruptions in brain network dynamics along an “order–complexity–chaos” continuum. Psychedelics may therapeutically increase neural entropy, disrupt maladaptive ...

The authors provide a compelling method for characterizing communication within brain networks. The study engages important, biologically pertinent, concerns related to the balance of dynamics and ...

This study addresses the challenge in identifying and preserving higher-order cognitive functions within a complex dynamic systems framework during neurosurgery. Traditionally, neurosurgical practice ...

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