Method and apparatus of primary visual cortex simple cell training and operation

摘要

Certain aspects of the present disclosure present a technique for primary visual cortex (V1) cell training and operation. The present disclosure proposes a model structure of V1 cells and retinal ganglion cells (RGCs), and an efficient method of training connectivity between these two layers of cells such that the proposed method leads to an autonomous formation of feature detectors within the V1 layer. The proposed approach enables a hardware-efficient and biological-plausible implementation of image recognition and motion detection systems.

主权项

1. An electrical circuit, comprising:
a plurality of Retinal Ganglion Cell (RGC) circuits, wherein each of the RGC circuits generates, at an output, a sum of weighted inputs from receptor circuits associated with that RGC circuit; a plurality of primary visual cortex cell (V1) circuits, wherein each of the V1 circuits generates another sum of weighted outputs of a subset of the RGC circuits; and an interface circuit configured to connect two or more of the V1 circuits to each other, wherein the two or more V1 circuits receive inputs from the same RGC circuits of the plurality of RGC circuits, wherein: a weight connecting one of the RGC circuits from the subset with that V1 circuit is positive when modeling that RGC circuit from the subset as an ON RGC, and the weight is negative when modeling that RGC circuit as an OFF RGC.