Borst A, Theunissen FE (1999) Information theory and neural coding. Nat Neurosci 2:947-957Borst A, and Theunissen F. Information theory and neural coding. Nat Neurosci 2: 947-957, 1999. 972 Boyle R, Goldberg JM, and Highstein SM. Inputs from regularly and irregularly dischargingBorst A,...
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...
E. Information theory and neural coding. Nature Neurosci. 2, 947– 957 (1999). Article CAS Google Scholar Usrey, W. & Reid, R. Synchronous activity in the visual system. Annu. Rev. Physiol. 61, 435– 456 (1999). Article CAS Google Scholar Zemel, R., Dayan, P. & Pouget, A. ...
Neural Coding: Variability and Information 来自 ResearchGate 喜欢 0 阅读量: 17 作者:RB Stein,DG Everaert 摘要: The application of Shannon's Information Theory to the nervous system initially led to enormous discrepancies between estimates of the potential amount of information that might be ...
Information theory and neural coding. Nature Neuroscience, vol. 2, no. 11, pp. 947–957, 1999. DOI: https://doi.org/10.1038/14731. Article Google Scholar R. Q. Quiroga, S. Panzeri. Extracting information from neuronal populations: Information theory and decoding approaches. Nature Reviews ...
coding theory and techniques, data compression, sequences, signal processing, detection and estimation, pattern recognition, learning and inference, communications and communication networks, complexity and cryptography, and quantum information theory and coding. Papers published in the IEEE Transactions on ...
Inform. Theory , 1965... RG Gallager - 《IEEE Transactions on Information Theory》 被引量: 902发表: 1965年 Information filtering by synchronous spikes in a neural population neural codingstochastic integrate-and-fire neuronnoiseInformation about time-dependent sensory stimuli is encoded by the spike...
Self-supervised learning via maximum entropy coding. Advances in Neural Information Processing Systems, 35:34091–34105, 2022. 2. Introduction Part2 翻译 然而,现有的最大熵编码框架没有明确区分来自不同增广分支的特征矩阵,阻碍了其与Alignment loss的集成。为了弥合这一差距,我们引入了矩阵信息论。通过将熵...
1.刚从图书馆借到这本书,顺着书中的支持网站,发现作者把公开课视频也免费放到网上了,还可以直接下到英文原版电子版,这是什么精神~ ”A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge Un... ...