刺激(心理学)
忠诚
神经编码
感觉系统
信息处理
视觉感受
心理学
计算机科学
感知
人工智能
神经科学
认知心理学
电信
作者
Thomas Sprague,Sameer Saproo,John T. Serences
标识
DOI:10.1016/j.tics.2015.02.005
摘要
The visual system transforms complex inputs into robust and parsimonious neural codes that efficiently guide behavior. Because neural communication is stochastic, the amount of encoded visual information necessarily decreases with each synapse. This constraint requires that sensory signals are processed in a manner that protects information about relevant stimuli from degradation. Such selective processing--or selective attention--is implemented via several mechanisms, including neural gain and changes in tuning properties. However, examining each of these effects in isolation obscures their joint impact on the fidelity of stimulus feature representations by large-scale population codes. Instead, large-scale activity patterns can be used to reconstruct representations of relevant and irrelevant stimuli, thereby providing a holistic understanding about how neuron-level modulations collectively impact stimulus encoding.
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