本书作者采用分子生物学、神经科学、认知心理学、计算认知科学、脑成像等多学科结合的技术,对感知觉、注意、记忆、语言、决策,以及情绪与认知的脑机制进行了深入的研究,对于理解上述认知的脑内加工过程和神经基础,构建认知神经模型很有帮助。
Progress in Cognitive Science:
From Cellular Mechanisms to Computational Theories
Zhong-Lin Lu & Yue-Jia Luo (Eds)
Contents
1. Contributions of ideal observer theory to vision research……………Wilson S. Geisler
2. Response time: Data and theory……………………………………….. Roger Ratcliff
3. Binocular rivalry, attention, and visual awareness……………………………Sheng He
4. Perceptual Learning: Mechanisms and Models………………….……..Barbara Anne Dosher, Zhong-Lin Lu
5. Mechanisms of attention: Psychophysics, cognitive psychology, and cognitive neuroscience…………………………….………..Zhong-Lin Lu, Barbara Anne Dosher
6.Memory………………..……………………. Richard M. Shiffrin
7.bridges between neuroscience and complex decision making………..…Woo- Young Ahn, Ryan K. Jessup, and Jerome R. Busemeyer
8.The neural basis of birdsong syntax………………… Dezhe Z. Jin
9. The cognitive neuroscience of learning to read……….Gui Xue, Chuansheng Chen, Leilei Mei, Zhonglin Lu, Qi Dong
10. Understanding semantic processing deficits in patients with schizophrenia using ERP and MRI… Kui Wang, Xue-bing Li, Raymond C. K. Chan
Neural mechanism of semantic processing in schziophrenia
11. Neural correlates between emotion and cognition……………………Yue-jia Luo et al.
12.Deciphering neural connectivity from fMRI data with granger causality analysis …… Xiaoping Hu
13. A method to decompose stimulus and response components in event-related potential (ERP) recordings.......................... Jun Zhang and Gang Yin
Decomposing stimulus and response components in ERP recordings
14.DeYoeNeuroimaging aids for diagnosis and treatment of central vision pathologies……… Edgar A. DeYoe, Karen Medler, Viktor Szeder, Jed Mathis, John Ulmer, Wade Mueller