Related Experiment Video
Updated: Jul 7, 2026
11:18
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Dispersive propagation skew effects in iterative neural networks
IEEE Transactions on Neural Networks
|January 1, 1991
Summary
This study extends previous findings on analog neural networks, showing that steady-state performance remains unaffected by propagation skew, even with dispersion. This is achieved under contractive conditions for neural network weights and nonlinearity.
Area of Science:
- Computational Neuroscience
- Analog Neural Networks
- Signal Processing
Background:
- Propagation skew between neurons typically varies in analog neural networks.
- Previous work showed steady-state performance is unaffected by skew if network weights and nonlinearity are contractive.
Purpose of the Study:
- To extend the understanding of steady-state performance in analog neural networks.
- To investigate the impact of dispersive propagation skew on network performance.
Main Methods:
- Theoretical analysis of continuous-time analog neural networks.
- Extension of previous contractive mapping conditions to include dispersive skew.
Main Results:
- The steady-state performance of iterative neural networks is shown to be unaffected by dispersive skew.
- The same steady-state results occur under nearly the same contractive conditions as in the non-dispersive case.
Conclusions:
- Dispersive skew does not alter the steady-state performance of analog neural networks.
- The contractive properties of neural network weights and nonlinearity are key to maintaining stable performance despite skew.
Related Concept Videos
01:23Propagation of Action Potentials
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
01:06Skewness
The measures of central tendency calculated from a data set may not reveal much about its intrinsic distribution. If a plot is made of the data set’s values, the mean and the median may not only differ, but also the plot may have more values on one side of the central tendencies. Such a data set is said to be skewed towards that side.
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency are...
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency are...
01:09Types of Skewness
If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
01:30Propagation Speed of Electromagnetic Waves
Electromagnetic waves are consistent with Ampere's law. Assuming there is no conduction current Ampere's law is given as:
01:25Neural Circuits
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
00:59Propagation of Uncertainty from Random Error
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...