Transformers What are some examples of neural networks generating human-like text

information carried by the network via neural codes. 1.3. Consciousness and Informational Complexity. The idea of computational mod- els of consciousness ... ... information theory in the evaluation of single neuron responses and neural networks. The question of the neural code has been debated heatedly since the ... Dec 2, 2021 ... Each phase involves aligning the connections of the neural network with patterns of information contained in the input dataset or preceding ... 01/01/2024 Maryam Shanechi is elevated to IEEE Fellow. 12/11/2023 Our Nature Biomedical Engineering paper on neural network models with dynamical flexible ... Abstract. The concept of Learning by Stimulus Avoidance (LSA) has been proposed in recent literature, and the methods of avoiding stimuli: action, prediction, ... Cognitive Neuroscience 2018: On the biological (or social) expedience of the mechanism of information integration in neural networks of the brain through. Keywords: Feedforward neural network, complexity, information complexity, neural complexity, radial basis functions, RBF networks, learning. 1. Introduction. Jan 10, 2024 ... (2007, 2010), for instance, used a network composed of two coupled rings, representing sensory and frontal cortical modules, to model the ... Jun 23, 2020 ... In this paper we develop a novel mathematical formalism for the modeling of neural information networks endowed with additional structure. ... neural coding models that depend on phase, increasing the informational content of neural representations; and (4) likely originate from the dynamics of ...