A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies

Table 1

Basal values for network parameters.

Network dimensions	𝑁^𝑣𝑝=180	𝑁^𝑎𝑝=180	𝑁^𝑎𝑓=40
External stimuli	𝐸^𝑣0=15	𝜎^𝑣𝑝=4	𝜎^𝑎𝑝=30	𝜎^𝑎𝑓=14
Neurons response	𝑠=0.6	𝜃=12	𝜏𝑦=3 ms
Visual basal synapses	𝐿^𝑣ex0=2.4	𝐿^𝑣in0=1.4	𝜎^𝑣ex,𝑝=2	𝜎^𝑣in,𝑝=24
Auditory basal synapses	𝐿^𝑎ex0=0.4	𝐿^𝑎in0=0.21	𝜎^𝑎ex,𝑝=1.45	𝜎^𝑎in,𝑝=8	𝜎^𝑎ex,𝑓=1.45	𝜎^𝑎in,𝑓=5
Interlayer synapses	𝑊𝑎𝑣=8.5	𝑊𝑣𝑎=0.22
Hebbian rules	𝜃post=0.5	𝛼ex0=0.03	𝛼in0=0.05	𝐿^𝑣max=2.4	𝐿^𝑎max=0.4