Identifying properties of pattern completion neurons in a computational model of the visual cortex
Fig 5
LASSO regression can predict Pattern Completion Capability.
(A) Correlation matrix of the network parameters for each of the 30 neuron pairs in ensemble 1 (left) and each of the 25 neuron pairs in ensemble 2 (right). (B) LASSO regression accurately predicted the PCC of each neuron pair in ensemble 1 (left) and ensemble 2 (right). Actual PCC was calculated from 800 stimulation trials for each neuron pair. Separate LASSO models were computed for each ensemble. Blue line indicates y = x. (C) Algorithm reliance for each network parameter. For both ensemble 1 (left) and ensemble 2 (right), the accuracy of LASSO regression was most reliant on degree.