Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University Atlanta, GA, USA.
Front Syst Neurosci. 2010 Nov 17;4:151. doi: 10.3389/fnsys.2010.00151. eCollection 2010.
Natural visual stimuli have highly structured spatial and temporal properties which influence the way visual information is encoded in the visual pathway. In response to natural scene stimuli, neurons in the lateral geniculate nucleus (LGN) are temporally precise - on a time scale of 10-25 ms - both within single cells and across cells within a population. This time scale, established by non stimulus-driven elements of neuronal firing, is significantly shorter than that of natural scenes, yet is critical for the neural representation of the spatial and temporal structure of the scene. Here, a generalized linear model (GLM) that combines stimulus-driven elements with spike-history dependence associated with intrinsic cellular dynamics is shown to predict the fine timing precision of LGN responses to natural scene stimuli, the corresponding correlation structure across nearby neurons in the population, and the continuous modulation of spike timing precision and latency across neurons. A single model captured the experimentally observed neural response, across different levels of contrasts and different classes of visual stimuli, through interactions between the stimulus correlation structure and the nonlinearity in spike generation and spike history dependence. Given the sensitivity of the thalamocortical synapse to closely timed spikes and the importance of fine timing precision for the faithful representation of natural scenes, the modulation of thalamic population timing over these time scales is likely important for cortical representations of the dynamic natural visual environment.
自然视觉刺激具有高度结构化的空间和时间特性,这些特性影响着视觉信息在视觉通路上的编码方式。在对自然场景刺激的反应中,外侧膝状体核(LGN)中的神经元在时间上非常精确——在单个细胞和细胞群体内的时间尺度为 10-25ms。这个时间尺度是由神经元发射的非刺激驱动元素建立的,比自然场景的时间尺度短得多,但对于场景的空间和时间结构的神经表示至关重要。在这里,展示了一种广义线性模型(GLM),它将刺激驱动的元素与与内在细胞动力学相关的尖峰历史依赖性相结合,以预测 LGN 对自然场景刺激的精细定时精度、群体中附近神经元之间的相应相关结构,以及神经元之间的尖峰定时精度和潜伏期的连续调制。单个模型通过刺激相关结构与尖峰生成和尖峰历史依赖性中的非线性之间的相互作用,捕获了实验观察到的不同对比度和不同类别的视觉刺激下的神经反应。鉴于丘脑皮质突触对时间接近的尖峰的敏感性以及精细定时精度对自然场景的忠实表示的重要性,这些时间尺度上的丘脑群体定时的调制对于动态自然视觉环境的皮质表示可能很重要。