Here we review information-theory basics before demonstrating its use in neural coding. We show how to use information theory to validate simple stimulus-response models of neural coding of dynamic stimuli. Because these models require specification of spike timing precision, they can reveal which ...
Victor,D Jonathan - 《Biological Theory》 被引量: 113发表: 2006年 c○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Information-Theoretic Analysis of Neural Coding We describe an approach to analyzing single- and multiunit (ensemble) discharge patterns based on information-theoreti...
Analyzing Neural Coding As introduced in the preceding text,information theorycan serve to bridge the gap between the functional level, where we deal with properties of a stimulus or task that bear a direct meaning to us, and theimplementation level, where we recorded physical indices of neural ...
Fig. 1: Backprop in contrast with neural coding. a Credit assignment in backprop requires a strict, global feedback pathway, which requires the completion of the forward pass that carries information upstream (right to left). This feedback pathway carries the error message e0 at the output laye...
science (e.g., neural coding, brain-computer interfaces) Optimization (e.g., convex and non-convex, stochastic, robust) Probabilistic methods (e.g., variational inference, causal inference, Gaussian processes) Reinforcement learning (e.g., decision and control, planning, hierarchical RL, robotics...
Rapid neural coding in the retina with relative spike latencies. Science 319, 1108–1111 (2008). Article Google Scholar Sigman, M. & Dehaene, S. Brain mechanisms of serial and parallel processing during dual-task performance. J. Neurosci. 28, 7585–7598 (2008). Article Google Scholar ...
Isomorphism, Task Dependence, and the Multiple Meaning Theory of Neural Coding (Part 2 of 2) Wasserman,S Gerald - 《Neurosignals》 被引量: 0发表: 1992年 The organization of spatial coding in the hippocampus: a study of neural ensemble activity. Neural activity was recorded from local groups ...
图论〔Graph Theory〕是数学的一个分支。它以图为研究对象。图论中的图是由若干给定的点及连接两点的线所构成的图形,这种图形通常用来描述某些事物之间的某种特定关系,用点代表事物,用连接两点的线表示相应两个事物间具有这种关系。 图论的基本研究对象——图 图(Graph)是表示物件与物件之间的关系的数学对象,是图论...
Unsupervised representation learning 的目标其实非常清楚,就是希望仅仅通过 data (without label) 分析出它们的特征、内蕴的结构、是否有低维表示、是否有一些简单的表示函数等等。有了这些特征,进可以做生成,退可以做聚类。 在这篇文章中,我会主要介绍一下这个 neural activation coding (NAC),它的任务是最大化 ...
We then extracted regression coefficients of Qc and confidence from the GLM5 model, so as to test for the presence of confidence signals in those value-coding regions (Fig. 7a). Despite the choice of our ROIs, which should bias our analyses in favor of value activations, the Qc-related ...