RF-PSTH neuron model

The RF-PSTH Neuron Model is an RF-PSTH Neuron Model RF-PSTH is capable of modeling both the antagonistic receptive fields of neurons and the PSTH output signal. Current artificial neuron models are not capable of simulating fundamentally important properties of biological neurons:

1. Antagonistic receptive fields;
2. output signal of neuron PSTH to any stimulus (stimulus).

Even if some neuron models try to model antagonistic receptive fields, they are unable to model the PSTH output signal, and vice versa - when certain models try to model the PSTH neuron output signal, they are unable to explain the origin of antagonistic neuron receptive fields. For example, one of the most popular models DOG (Difference Of Gaussians) simulates the antagonistic structure of the receptive field, but cannot simulate the output of PSTH neuron.

The vast majority of artificial neuron models are unable to simulate either the antagonistic receptive field of neurons, or the neuron PSTH output. For the first time in the history of neurobiology, the RF-PSTH neuron model is able to simulate both antagonistic receptive neuron fields and PSTH output signal. The RF-PSTH neuromodel is based on the physical properties of biological neurons.