This textbook synthesizes neuroscience and cognitive science. Cognition and intelligence arise from neural circuits endowed with many feedback loops, which is difficult to understand by intuition alone. The book covers basic computational neuroscience required for discussions of brain mechanisms and computational principles of cognition.
This textbook synthesizes neuroscience and cognitive science. Cognition and intelligence arise from neural circuits endowed with many feedback loops, which is difficult to understand by intuition alone. The book covers basic computational neuroscience required for discussions of brain mechanisms and computational principles of cognition.
Xiao-Jing Wang is Distinguished Global Professor of Neural Science at New York University, where he is also affiliated with the Courant Institute of Mathematical Sciences and Department of Physics. His honors include Guggenheim Fellowship, Swartz Prize for Theoretical and Computational Neuroscience, Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience.
Inhaltsangabe
PART I Chapter 1. Understanding the Cognitive Brain Chapter 2. Neurons and Synapses Chapter 3. Neural Networks Chapter 4. Plasticity, Learning and Memory PART II Chapter 5. Working Memory Chapter 6. Decision Making Chapter 7. Value-based Economic Choice Chapter 8. Executive Function PART III Chapter 9. Large-scale Multiregional Brain Chapter 10. Computational Psychiatry Chapter 11. Biological and Artificial Intelligence Chapter 12. Looing Back and Ahead
PART I Chapter 1. Understanding the Cognitive Brain Chapter 2. Neurons and Synapses Chapter 3. Neural Networks Chapter 4. Plasticity, Learning and Memory PART II Chapter 5. Working Memory Chapter 6. Decision Making Chapter 7. Value-based Economic Choice Chapter 8. Executive Function PART III Chapter 9. Large-scale Multiregional Brain Chapter 10. Computational Psychiatry Chapter 11. Biological and Artificial Intelligence Chapter 12. Looing Back and Ahead
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