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Codes, operations, measurements and neural networks

机译:代码,操作,测量和神经网络

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摘要

Numerous neural codes and primary neural operations (logical and arithmetical ones, mappings, transformations) were listed [e.g. Perkel, D., Bullock, T.H., 1968. Neurosci. Res. Program Bull 6, 221-348] during the past decades. None of them is ubiquitous or universal. In reality neural operations take place in continuous time and working with unreliable elements, but they still can be simulated with synchronized discrete time scales and chaotic models. Here, a possible neural mechanism, called 'measure like' code is introduced and examined. The neurons are regarded as measuring devices, dealing with 'measures', more or less in mathematical sense. The subadditivity - eminent property of measures - may be implemented with neuronal refractoriness and such synapses operate like particle counters with dead time. This hypothetical code is neither ubiquitous, nor universal, e.g. temporal summation (multiplication) causes just the opposite phenomenon, the supra-additivity also with respect to the number of spikes (anti-measures). This is a cause of more difficult neural implementation of OR gate, than that of the AND. Possibilities for transitional mechanisms (e.g. between traditional logical gates, etc.) are stressed here. Parameter tuning might change either code or operation. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved. [References: 21]
机译:列出了许多神经代码和主要的神经操作(逻辑和算术代码,映射,变换)[例如D.Perkel,T.H。Bullock,1968。Neurosci。 Res。计划Bull 6,221-348]。它们都不是无所不在或通用的。实际上,神经操作是在连续时间内进行的,并且使用不可靠的元素,但仍可以使用同步离散时间标度和混沌模型来模拟它们。在此,介绍并检查了一种可能的神经机制,称为“类似措施”的代码。在数学意义上,神经元或多或少被视为测量设备,用于处理“测量”。次可加性-措施的显着特性-可以通过神经元难治性来实现,这种突触的作用类似于带有死区时间的粒子计数器。该假设代码既不普遍也不普遍,例如时间加法(乘法)会引起相反的现象,超加性也与尖峰的数量有关(反措施)。与“与”门相比,这是导致“或”门的神经实现更加困难的原因。这里强调了过渡机制的可能性(例如在传统逻辑门之间)。参数调整可能会更改代码或操作。 (C)2000 Elsevier Science Ireland Ltd.保留所有权利。 [参考:21]

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