Event-Driven Processing

... neural coding models that depend on phase, increasing the informational content of neural representations; and (4) likely originate from the dynamics of ... ... information transmission by single neurons but not by the entire network. Most surprisingly, addition of a delay can change the dependence of the information ... Network Working Group Z. Li Internet-Draft Huawei Technologies Intended status: Informational Y. Zheng Expires: September 14, 2017 China Unicom J. Zhang S. Feb 25, 2025 ... Neurons are responsible for sending and receiving neurotransmitters—chemicals that carry information between brain cells. Depending on its ... The human brain is often used as an analogy to explain neural networks, however this is not particularly helpful as it implies machines understand information ... Sat 7:10 a.m. - 7:18 a.m.. Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes ( Oral ) > link Jun 23, 2020 ... In this paper we develop a novel mathematical formalism for the modeling of neural information networks endowed with additional structure. Information integration is a measure, developed by Tononi and co-researchers, of the capacity for dynamic neural networks to be in informational states ... a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process. Sep 4, 2023 ... ... neuronal networks or whether it is related to informational load. ... To explore this topic, we used an in vitro neural network of cortical ...