Ohyeon5 / InvisibleInhibitions

Computational simulation for invisible retinotopic inhibition on non-retinotopic perception

Invisible Inhibition Model

Computational simulation for invisible retinotopic inhibition on non-retinotopic perception.

Further details are represented in (Lauffs et al., Cons.&Cog., 2018)

Also, current simulated results was presented in VSS 2018

Please cite :

Lauffs, M. M., Choung, O. H., Öğmen, H., & Herzog, M. H. (2018). Unconscious retinotopic motion processing affects non-retinotopic motion perception. Consciousness and cognition.

Simulation details

1. main function

• simulation 1: discrete input and figure out output performance.
• simulation 2: gradual input and figure out output performance.
• simulation 3: train with human behavioral data and fit weight matrices for each participant.

2. Class: Neuron

• Each node has input, output, delay factor, activation function
• Currently, ReLu and Linear activation functions are available.

3. Class: Performance

• Compute responses and hits/misses of the model performance

Simulation results

1. Simulation 1: discrete input (0-ccw, 1-cw) and figure out output performance

2. Simulation 2: gradual input (decimals in btw 0 and 1) and figure out output performance