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This is the second volume containing high quality succinct papers covering current challenges in cognitive science linking it up with different interfacing disciplines like psychology, neuroscience, computer science, linguistics and philosophy. Four different sections have highlighted the important domains of learning and memory, perception and attention, time perception and language, and cognition and development.
The first section focuses on basic cognitive processes of learning and memory including simple associative processes, spatial memory, sequence learning, and implicit learning. The next section focuses on vision and attention, focusing on multisensory spatial perception, basic attentional processes, and modeling of attention. The third section dwells on time perception, covering behavioral and neural studies. And the last section on language, cognition, and development includes chapters on both normal and abnormal development, especially focusing on language development and related cognitive abilities.
The book will act as a supplementary reading material for courses on computational modeling, cognitive neuroscience, culture and cognition, cognitive development, psycholinguistics, attention, and perception. It would also interest R&D of IT companies working in the areas of human-computer interaction, artificial intelligence, and robotics, and companies involved in human factors engineering.
The first section focuses on basic cognitive processes of learning and memory including simple associative processes, spatial memory, sequence learning, and implicit learning. The next section focuses on vision and attention, focusing on multisensory spatial perception, basic attentional processes, and modeling of attention. The third section dwells on time perception, covering behavioral and neural studies. And the last section on language, cognition, and development includes chapters on both normal and abnormal development, especially focusing on language development and related cognitive abilities.
The book will act as a supplementary reading material for courses on computational modeling, cognitive neuroscience, culture and cognition, cognitive development, psycholinguistics, attention, and perception. It would also interest R&D of IT companies working in the areas of human-computer interaction, artificial intelligence, and robotics, and companies involved in human factors engineering.
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- SeriesAdvances in Cognitive Science #2