Synthetic neural modeling: the 'Darwin' series of recognition automata
Synthetic neural modeling: the 'Darwin' series of recognition automata
复制标题
综合神经建模：“达尔文”系列识别自动机
DOI：
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发表时间：
1990
影响因子：
20.6
通讯作者：
G. Edelman
中科院分区：
文献类型：
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作者：
G. Reeke;O. Sporns;G. Edelman
作者描述了神经元群选择（TNGS）理论如何成为神经系统计算机建模方法的基础。讨论了合成神经模型的三个实例。达尔文1被设计用来检查模式识别的过程和一些与选择系统中的退化和放大有关的一般因素。达尔文II引入了具有神经元群某些特性的识别单元，这些识别单元以可重入网络的形式连接在一起，以允许探索识别过程的各个方面，从而导致分类、泛化和联想记忆。达尔文III是一种行为自动化，它的行为不是被编程的，而是在神经元和突触选择的约束下，在其世界中遇到事件的结果。讨论了达尔文- iii系统的动眼力、伸手、触觉和分类子系统。达尔文III与基于神经生物学的模型、基于人工智能的模型和连接主义模型进行了比较。>
The authors describe how the theory of neuronal group selection (TNGS) can form the basis for an approach to computer modeling of the nervous system. Three examples of synthetic neural modeling are discussed. Darwin I was designed to examine the process of pattern recognition and some general factors relating to degeneracy and amplification in selective systems. Darwin II introduced recognition units with some of the properties of neuronal groups, connected in reentrant networks to permit exploration of aspects of the recognition process leading to categorization, generalization, and associative memory. Darwin III is a behaving automation whose behavior is not programmed but results from its encounter with events in its world under constraints of neuronal and synaptic selection. The oculomotor, reaching, touch, and categorization subsystems of the Darwin-III system are discussed. Darwin III is compared to models based on neurobiology, models based on artificial intelligence, and connectionist models. >
DOI：
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发表时间：
1984
期刊：
Human neurobiology
影响因子：
--
作者：
Mahlon R. Delong;Garrett E. Alexander;A. Georgopoulos;M. D. Crutcher;S. Mitchell;R. Richardson
通讯作者：
Mahlon R. Delong;Garrett E. Alexander;A. Georgopoulos;M. D. Crutcher;S. Mitchell;R. Richardson
影响因子：
56.9
作者：
ANDERSEN, RA;ESSICK, GK;SIEGEL, RM
通讯作者：
SIEGEL, RM
影响因子：
2.5
作者：
GEORGOPOULOS, AP;KALASKA, JF;MASSEY, JT
通讯作者：
MASSEY, JT