Koch Kristin, McLean Judith, Berry Michael, Sterling Peter, Balasubramanian Vijay, Freed Michael A
University of Pennsylvania, Department of Neuroscience, Philadelphia, PA 19104, USA.
Curr Biol. 2004 Sep 7;14(17):1523-30. doi: 10.1016/j.cub.2004.08.060.
Different types of retinal ganglion cells convey different messages to the brain. Messages are in the form of spike patterns, and the number of possible patterns per second sets the coding capacity. We asked if different ganglion cell types make equally efficient use of their coding capacity or whether efficiency depends on the message conveyed.
We recorded spike trains from retinal ganglion cells in an in vitro preparation of the guinea pig retina. By calculating, for the observed spike rate, the number of possible spike patterns per second, we calculated coding capacity, and by counting the actual number of patterns, we estimated information rate. Cells with "brisk" responses, i.e., high firing rates, and a general message transmitted information at high rates (21 +/- 9 bits s(-1)). Cells with "sluggish" responses, i.e., lower firing rates, and specific messages (direction of motion, local-edge) transmitted information at lower rates (13 +/- 7 bits s(-1)). Yet, for every type of ganglion cell examined, the information rate was about one-third of coding capacity. For every ganglion cell, information rate was very close (within 4%) to that predicted from Poisson noise and the cell's actual time-modulated rate.
Different messages are transmitted with similar efficiency. Efficiency is limited by temporal correlations, but correlations may be essential to improve decoding in the presence of irreducible noise.
不同类型的视网膜神经节细胞向大脑传递不同的信息。信息以脉冲模式的形式存在,每秒可能的模式数量决定了编码能力。我们探讨了不同类型的神经节细胞是否同样有效地利用其编码能力,或者效率是否取决于所传递的信息。
我们在豚鼠视网膜的体外制备物中记录了视网膜神经节细胞的脉冲序列。通过针对观察到的脉冲频率计算每秒可能的脉冲模式数量,我们计算了编码能力,并通过统计实际模式数量来估计信息率。具有“快速”反应(即高放电频率)和一般信息的细胞以高速率(21±9比特·秒⁻¹)传递信息。具有“迟缓”反应(即较低放电频率)和特定信息(运动方向、局部边缘)的细胞以较低速率(13±7比特·秒⁻¹)传递信息。然而,对于所检查的每种类型的神经节细胞,信息率约为编码能力的三分之一。对于每个神经节细胞,信息率与根据泊松噪声和细胞实际时间调制频率预测的值非常接近(在4%以内)。
不同的信息以相似的效率进行传递。效率受到时间相关性的限制,但在存在不可减少的噪声的情况下,相关性对于改善解码可能至关重要。