Algorithm 1 Cortical Coding Network Training (for one frame)

Input                  input wavelet coefficients vectors, $\{w_1,w_2,\dots ,w_d\}$     procedure Cortical Coding Network (Cortex) Training           for each coefficient ($w_i$) in the input data frame do                 if node has progeny cortex node then                       closest_node ← FindClosestNode(node, coefficient)                       if coefficient is in the range of the closest cortex node then                             node ← UpdateClosestNode(closest_node, coefficient)                             continue                       end if                 end if                 if node has spines then                       closest_spine ← FindClosestSpine(node, coefficient)                       if coefficient is in the range of the closest spine node then                             UpdateClosestSpine(closest_spine, coefficient)                             if closest_spine’s maturity > threshold then                                   node ← EvolveSpineToNode(closest_spine)                                   continue                             else                                   break                             end if                       end if                 end if                 GenerateSpine(node, coefficient)                 break           end for     end procedure