INFORMATION THEORETIC ANALYSIS OF NEURAL CODES

描述（改编自申请人的摘要）： 拟议的研究是确定有关感官刺激的信息如何 特征由集合神经活动模式编码。 制备 将要研究的是蟋蟀的颈感觉系统。 具体 本研究的目的是检验以下假设：1）一个动态的 时间编码方案用于表征感觉刺激的特征; 2)集体编码方案用于表示感官刺激; 3） 在整个过程中， 传入阵列和20个细胞集合体之间的突触界面 初级感觉中间神经元;以及，4）感觉系统被优化以 处理来自动物环境的典型行为相关信号。 研究的实验数据库将通过高级 电生理记录技术。 技术将包括双 来自成对神经元和多单位细胞外的细胞内记录 神经的记录 将实现细胞外记录 通过使用专门设计的导线和硅记录阵列 对于这些研究。 分析方法将采用信息理论， 随机系统分析和若干工程分析。 神经网络 可以使用算法来实现复杂的非线性回归分析， 数据集。

DESCRIPTION (Adapted from applicant's abstract): The general goal of the proposed research is to determine how information about sensory stimulus features is encoded by ensemble neural activity patterns. The preparation to be studied is the cercal sensory system of the cricket. The specific aims of this proposal are to test the following hypotheses: 1) A dynamic temporal encoding scheme is used to represent features of sensory stimuli; 2) A collective encoding scheme is used to represent sensory stimuli; 3) There is no significant loss of behaviorally relevant information across the synaptic interface between the afferent array and the 20 cell ensemble of primary sensory interneurons; and, 4) The sensory system is optimized to process typical behaviorally relevant signals from the animal's environment. The experimental database for the studies will be collected through advanced electrophysiological recording techniques. Techniques will include dual intracellular recordings from pairs of neurons and multi-unit extracellular recordings from nerves. The extracellular recordings will be achieved through the use of wire and silicon recording arrays designed specifically for these studies. The analytical approach will employ information theory, stochastic systems analysis and several engineering analyses. Neural net algorithms may be used be implement nonlinear regression analyses of complex data sets.