Neuron model RF-PSTH1.0 - Download
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Publisher Description
Neuron model RF-PSTH. Version 1.0.
Currently available artificial neuron models are unable to simulate fundamentally important features of real biological neurons: 1) antagonistic receptive fields and 2) PSTH output signal of neuron to any stimulus. Even if some neuron models try to simulate antagonistic receptive fields then they are unable to simulate PSTH output signal, and vice versa some other models try to simulate PSTH output signal of neuron, however these models fail to explain antagonistic receptive fields of neurons. As for example, a very popular DOG (Difference Of Gaussians) model simulates antagonistic structure of the receptive field, however DOG model fails to simulate PSTH output signal of neuron. And the vast majority of artificial neural models even fail to simulate both: antagonistic receptive fields and PSTH output signal.
For the first time ever neuron model RF-PSTH is able to simulate both antagonistic receptive fields and PSTH output signal.
Neuron model RF-PSTH is based on physics of real biological neurons.
For latest version and more information please visit: https://neuroclusterbrain.com
About Neuron model RF-PSTH
This Science program is available in English. It was last updated on 17 October, 2026. Neuron model RF-PSTH is compatible with the following operating systems: Other, Windows.
The company that develops Neuron model RF-PSTH is Cognaxon. The latest version released by its developer is 1.0.
The download we have available for Neuron model RF-PSTH has a file size of 1.0 MB. Just click the green Download button above to start the downloading process. The program is listed on our website since 2014-03-31 and was downloaded 0 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded software with your antivirus. Your antivirus may detect the Neuron model RF-PSTH as malware if the download link is broken.
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Version History
version 1.0
posted on 2014-03-31
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