Directions for research
Directions for research
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研究方向
DOI：
10.1007/978-3-540-76656-8_6
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
Edward Rosenfeld
中科院分区：
文献类型：
--
作者：
J.A. Anderson;A. Pellionisz;Edward Rosenfeld
第1部分网络架构：“De memoria et reminiscentia”，Aristotle“Cybernetics”，Norbert Wiener“Outline of a theory of thought-processes and thinking machines”，E.R. Caianiello“Adaptive systems using learning matrices”，K. Steinbuch和E.施密特，“一种利用空间相关函数的记忆存储模型”，James A.安德森“联想-联想记忆的模型”，Kaoru中野“全息假说的记忆结构在大脑功能和知觉”，卡尔H。Pribram et al“How patterned neural connections can be set up by self-organization”，D.J. Willshaw and C. von der Malsburg“Topographic organization of nerve fields”，Shun-ichi Amari“ART 2 - self-organization of stable category recognition codes for analog input patterns”，Gail A. Carpenter和Stephen Grossberg“双向联想记忆”，Bart Kosko“稀疏分布记忆”，Pentti Kanerva。第2部分计算和神经生物学：“青蛙的眼睛告诉青蛙的大脑”，J.Y. Lettvin等“单一单位和感觉-知觉心理学的神经元学说？“，H.B. Barlow，“Large receptive fields and spatial transformations in the visual system”，J.T. McIllem，“生物声纳信息在蝙蝠听觉环境中的表现程度”，Nobuo Suga，“通过选择学习”，J.- P. Changeux等人，“大脑皮层中的神经元组选择”，Gerald M. Edelman和Leif H.成人大脑皮质地图组织的可塑性-基于神经元组选择的计算机模拟。Pearson等人，“Tensor network theory of the metaorganization of functional geometrics in the central nervous system”，A. Pellionisz和R. Llinas“大脑如何制造混乱，以使世界的意义”，克莉丝汀A。Skarda和Walter J. Freeman，“脑中的计算地图”，Eric I。Knudsen等人“模拟后顶叶神经元子集的响应特性的反向传播编程网络”，大卫Zipser和Richard A. Andersen，“Long-term synaptic potentiation”，托马斯H. Brown等人，Part 3 Statistics and pattern classification：“Learning machines”，Nils Nilsson“Nearest neighbor pattern classification”，T.M.封面和体育哈特“模式识别的实用技术”，布鲁斯G. Batchelor，“A neural model for category learning”，道格拉斯L. Reilly等人的“A relaxation model for memory with high storage density”，Charles M. Bachmann等人的“Statistical pattern recognition with neural networks - benchmarking studies”，Teuvo Kohonen等人的“Self-organization in a perceptual network”，Ralph Linsker的“Image compression by back propagation - an example of extensional programming”，Garrison W. Cottrell等人的“神经网络和主成分分析-从没有局部最小值的例子中学习”，Pierre Baldi和Kurt Hornik。第4部分当前的应用和未来的问题：“感知器”，马文L。Minsky和Seymour A.派普特(Part内容）。
Part 1 Network architecture: "De memoria et reminiscentia", Aristotle "Cybernetics", Norbert Wiener "Outline of a theory of thought-processes and thinking machines", E.R. Caianiello "Adaptive systems using learning matrices", K. Steinbuch and E. Schmitt "A memory storage model utilizing spatial correlation functions", James A. Anderson "Associatron - a model of associative memory", Kaoru Nakano "The holographic hypothesis of memory structure in brain function and perception", Karl H. Pribram et al "How patterned neural connections can be set up by self-organization", D.J. Willshaw and C. von der Malsburg "Topographic organization of nerve fields", Shun-ichi Amari "ART 2 - self-organization of stable category recognition codes for analog input patterns", Gail A. Carpenter and Stephen Grossberg "Bidirectional associative memories", Bart Kosko "Sparse distributed memory", Pentti Kanerva. Part 2 Computation and neurobiology: "What the frog's eye tells the frog's brain", J.Y. Lettvin et al "Single units and sensation - a neuron doctrine for perceptual psychology?", H.B. Barlow "Large receptive fields and spatial transformations in the visual system", J.T. McIlwain "The extent to which biosonar information is represented in the bat auditory context", Nobuo Suga "Learning by selection", J.-P. Changeux et al "Neuronal group selection in the cerebral cortex", Gerald M. Edelman and Leif H. Finkel "Plasticity in the organization of adult cerebral cortical maps - a computer simulation based on neuronal group selection", John C. Pearson et al "Tensor network theory of the metaorganization of functional geometries in the central nervous system", A. Pellionisz and R. Llinas "How brains make chaos in order to make sense of the world", Christine A. Skarda and Walter J. Freeman "Computational maps in the brain", Eric I. Knudsen et al "A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons", David Zipser and Richard A. Andersen "Long-term synaptic potentiation", Thomas H. Brown et al. Part 3 Statistics and pattern classification: "Learning machines", Nils Nilsson "Nearest neighbor pattern classification", T.M. Cover and P.E. Hart "Practical techniques for pattern recognition", Bruce G. Batchelor "A neural model for category learning", Douglas L. Reilly et al "A relaxation model for memory with high storage density", Charles M. Bachmann et al "Statistical pattern recognition with neural networks - benchmarking studies", Teuvo Kohonen et al "Self-organization in a perceptual network", Ralph Linsker "Image compression by back propagation - an example of extensional programming", Garrison W. Cottrell et al "Neural networks and principal component analysis - learning from examples without local minima", Pierre Baldi and Kurt Hornik. Part 4 Current applications and future problems: "Perceptrons", Marvin L. Minsky and Seymour A. Papert. (Part contents).