Architecture of the brain’s visual system enhances network stability and performance through layers, delays, and feedback
Fig 2
Two implementations of feedforwad transmission.
In the artificial case, feedforward connections (black arrows) transmit information instantaneously (Δ = 0). In the biological case, feedforward transmission requires time and thus introduces a time delay (Δ = 1). In both cases, feedback connections require a delay (Δ = 1) irrespective of distance (0, 1, or 2 in green, blue, and red). Note that in the artificial case, the units along lines ri only depend on the information from units along line ri−1; while in the biological case units along line di depend on the information from units along several lines di−1, di−2, …. The lines ri and di represent how the state of the network evolves as a function of the layers and time.