Response to Comment on 'Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation' How can a decoded neurofeedback method (DecNef) lead to successful reinforcement and visual perceptual learning?
Huang (arXiv:1612.03270) argues that the perceptual learning induced by our decoded neurofeedback method (DecNef) can be explained by Hebbian synaptic plasticity of connections between V1/V2 and V3/V4 rather than that within V1/V2, and that reinforcement learning at a cellular level should not be possible, and thus challenges our conclusions. In this reply, first, we show that Huang's model is not compatible with our data which strongly suggest plasticity within V1/V2. Second, the results of our new analysis show that spontaneous activity is not random but largely accounted for by low dimensional components. These and other results indicate that learning to induce a stimulus associated template voxel pattern in V1/V2 within as few as 100 trials is likely to be accomplished by hyper resolution and sub voxel level control by DecNef.