Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization
Fig 4
Dynamics of different structures during and after the learning stage.
In A and B, waveform sample that the PAC layer categorizes in the form of MFCC vectors in a higher representation. In C, this information is passed to the STG layer that integrates over time (20 iterations) the incoming information. In D, evolution of the neural activity of one STR unit at different learning stages. In E, the final layer, the STR, categorizes for a second time the filtered information in a bigger neural population.