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Artificial neural networks (ANNs) are biologically inspired networks based on the neuron organization and decision-making process of the human brain [34].
The hidden neurons in the RBF neural network can be added or removed online based on the neuron activity and mutual information (MI), to achieve the appropriate network complexity and maintain overall computational efficiency.
Note that there is a commercially available didactic software package, called "NEURON in action" [ 4], which is also based on the NEURON environment.
The assumption here was that if a neuron's activity is represented in a model based on the neuron's intrinsic code, the RF should be spatially more coherent than if represented in any other spatial model.
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This classification was mainly based on the neurons' ratio of the 3rd and the 9th interspike interval (ISI) (Cho et al. 2004).
The proposed technique can be applied to CPG networks based on the Matsuoka neuron's model.
An integration of chemical sensors and electrowetting actuators based on the chemoreceptive neuron MOS (CνMOS) transistors has brought forth a novel system-on-chip approach to the microfluidic system.
The DRRC units are developed based on the methodology of neuron configuration, i.e., one neuron or multiple neurons.
This was calculated to be 175,421 neurons, based on the slice dimensions and neuron density.
The second subnet initially fires only spontaneously, and uses compensatory learning based on the weight entering the neuron.
The network is sparsely connected, and broken into two subnets, with the first subnet directly stimulated by the environment, and using compensatory learning based on the strength leaving the neuron.
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