Learning from Limited Data

The semantic network ROI spanned a large swathe of heteromodal cortex, including most of the aforementioned cortical areas. The neural similarity structure of ... Jan 29, 2024 ... We will see how ANN-assisted mixture space exploration can adapt to dynamic mixtures and balance the local and global information. Section 3 ... ... system can become highly synergistic; and (b) how informational states map onto artificial neural networks in various learning modes. Here we employ an ... The brain is a deep and complex recurrent neural network. The models of information processing that have dominated computational neuroscience, by contrast, are ... 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 ... Dec 20, 2024 ... In ecosystems, financial markets, and neural networks, entropy fluctuates as new information reshapes the probability landscape. 4.2 The ... The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar is a very interdisciplinary work. Anyone interested in the ... Nov 2, 2004 ... ... neural system. ... Dehaene S, Sergent C, Changeux JP: A neuronal network model linking subjective reports and objective physiological data during ... ... information-processing system in order to have a mind. The answer is the ... neural network (see Shea, 2007). Nevertheless, we can ignore this set of ... ... information theory in the evaluation of single neuron responses and neural networks. The question of the neural code has been debated heatedly since the ...