Theoretical Neuroscience

Auteur

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. Before joining New York University, he was Professor at Yale University. His honors include Guggenheim Fellowship, the Swartz Prize for Theoretical and Computational Neuroscience and the Goldman-Rakic Prize for Outstanding Achievement in Cognitive Neuroscience.

Texte du rabat

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.

Contenu

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