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... neural networks contribute to familiar face recognition. Original language, English. Article number, 117896. Pages (from-to), 1-15. Number of pages, 15. Journal ... Klinkner, K.L., Shalizi, C.R., Camperi, M.F. Measuring shared information and coordinated activity in neuronal networks (2005). Advances in Neural Information ... Classically, external receptors of the body transmit information from the environment to the cerebral cortex via the thalamus. This review explains and ... Mar 4, 2016 ... For the multiplex neural networks, we find that intra and inter couplings will complementarily cooperate to complex behaviour if the two neural ... ... Learning Capability of Deep Neural Networks: A Positivist Perspective Jaebong Son and Chang Heon Lee. PDF · The Sky Is the Limit: A Review of Drone Research ... Oct 6, 2022 ... Our results show that synergy increases as neural networks learn multiple diverse tasks. Furthermore, performance in tasks requiring integration ... ... informational methods. The role of informational methods is to model ... Mechanical modeling; neural network; column-base connection; composed modeling ... In this work we study the distributed representations learnt by generative neural network models. In particular, we investigate the properties of redundant and ... 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.