Kurt Godel: collected works. Vol. 1: Publications 1929-1936
Kurt Godel: collected works. Vol. 1: Publications 1929-1936
A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
Neural networks and intellect: using model-based concepts
Neural networks and intellect: using model-based concepts
Neural Networks and Natural Intelligence
Neural Networks and Natural Intelligence
Intelligent Systems: Architecture, Design, and Control
Intelligent Systems: Architecture, Design, and Control
A cross-situational algorithm for learning a lexicon using neural modeling fields
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Evolution of Languages, Consciousness and Cultures
IEEE Computational Intelligence Magazine
Derivation and evaluation of improved tracking filter for use in dense multitarget environments
IEEE Transactions on Information Theory
Reinforcement learning and adaptive dynamic programming for feedback control
IEEE Circuits and Systems Magazine
Emotions, language, and Sapir-Whorf hypothesis
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI
IEEE Transactions on Neural Networks
Language and cognition interaction neural mechanisms
Computational Intelligence and Neuroscience
Safe science classrooms: Teacher training through serious educational games
Information Sciences: an International Journal
Hi-index | 0.00 |
What is the role of language in cognition? Do we think with words, or do we use words to communicate made-up decisions? The paper briefly reviews ideas in this area since 1950s. Then we discuss mechanisms of cognition, recent neuroscience experiments, and corresponding mathematical models. These models are interpreted in terms of a biological drive for cognition. Based on the Grossberg-Levine theory of drives and emotions, we identify specific emotions associated with the need for cognition. We demonstrate an engineering application of the developed technique, which significantly improves detection of patterns in noise over the previous state-of-the-art. The developed mathematical models are extended toward language. Then we consider possible brain-mind mechanisms of interaction between language and cognition. A mathematical analysis imposes restrictions on possible mechanisms. The proposed model resolves some long-standing language-cognition issues: how the mind learns correct associations between words and objects among an astronomical number of possible associations; why kids can talk about almost everything, but cannot act like adults, what exactly are the brain-mind differences; why animals do not talk and think like people. Recent brain imaging experiments indicate support for the proposed model. We discuss future theoretical and experimental research.