期刊
NETWORK-COMPUTATION IN NEURAL SYSTEMS
卷 23, 期 3, 页码 123-127出版社
INFORMA HEALTHCARE
DOI: 10.3109/0954898X.2012.711918
关键词
Network models; visual system; object recognition; neural development
资金
- NSF [0749986, 1026934]
- NIH [HD067884]
- Direct For Social, Behav & Economic Scie
- Division Of Behavioral and Cognitive Sci [0749986] Funding Source: National Science Foundation
Sensory processing in cortex across modalities appears to rely on a simple-to-complex'' hierarchical computational strategy in which neurons at later levels in the hierarchy combine inputs from earlier levels to create more complex neuronal selectivities. The specifics of this process are still poorly understood, however. In this issue of Network, Plebe shows how computational modeling of experimental data on neuronal tuning in secondary visual cortex can help us understand how the brain increases neuronal tuning complexity across the visual cortical hierarchy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据