Adaptive filtering enhances information transmission in visual cortex

Sensory neuroscience seeks to understand how the brain encodes natural environments. However, neural coding has largely been studied using simplified stimuli. In order to assess whether the brain's coding strategy depends on the stimulus ensemble, we apply a new information-theoretic method that allows unbiased calculation of neural filters (receptive fields) from responses to natural scenes or other complex signals with strong multipoint correlations. In the cat primary visual cortex we compare responses to natural inputs with those to noise inputs matched for luminance and contrast. We find that neural filters adaptively change with the input ensemble so as to increase the information carried by the neural response about the filtered stimulus. Adaptation affects the spatial frequency composition of the filter, enhancing sensitivity to under-represented frequencies in agreement with optimal encoding arguments. Adaptation occurs over 40 s to many minutes, longer than most previously reported forms of adaptation.     

柳杉树轮δ~(13)C与气候要素的分析与应用

<正>对采自气候为非限制性因子地区的柳杉树轮稳定碳同位素比 δ１３ Ｃ进行气候响应分析。用排除法消除大气二氧化碳中δ１３Ｃ的变化对柳杉树轮δ１３Ｃ变化的影响后,建立残差年序列ＲＥ,并结合西天目山气象站的气象记录,分析了树轮δ１３Ｃ年序列对气候要素的响应。结果表明：西天目山地区树轮 δ１３Ｃ的高频振荡与 １１、１２月最高气温的平均值,１、２、３月降水总和以及６、７月降水总和显著相关,在一定程度上反映了东亚季风对该区的影响大小。可见气候非限制性因子地区树轮稳定碳同位素组成年序列同样可以作为气候变化指针。