Research of a Neuron Model with Signal Accumulation for Motion Detection

The paper presents a new model of the MT-neuron (Middle temporal area neuron), which allows detecting movement and determining its direction and speed, without using recurrent connection. The model is based on the accumulation of the signal and is organized using a space-time vector that sets the weight coefficients. Despite the combinatorial redundancy, it is assumed that the model is more resistant to glare in comparison with the optical flow.