Neural Network Simulation of Emsemble-coding model

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Neural Network Simulation of Emsemble-coding model of primate Superior Colliculus By Hyojung Seo Dept. of Psychology

Population Activity in SC and Saccadic Vector Amplitude (20 deg) Direction (60 deg) Decomposition Vertical (deg) 17.3 10 Horizontal (deg)

Vector Average

Needed Considerations for Simulation 1. Spatio-Temporal Transformation 2. Feedback Loops 3. Decomposition of Horizontal and Vertical Components

Architecture of Neural Network INPUT: 5*5 Matrix of physical positions in SC Rows: U axis Columns: V axis 40 20 -20 -40 5 10 30 Horizontal (i) Vertical (j) SC Cell(i,j) i=1,2,3,4,5 j=1,2,3,4,5

Activation Values of each cell Architecture of Neural Network (Cont’d) Results of Input Programming with MatLab 5 10 20 30 40 -40 -20 0.5 1 Activation Values of each cell

Architecture of Neural Network (Cont’d) There are 3 Pairs of extraoculor muscles to each eye: ONLY 2 pairs will be included in this study Left Eye Right Eye Superior rectus (Upward) Superior rectus (Upward) (Right) Medial rectus Lateral rectus (Left) Lateral rectus (Right) Medial rectus (Left) Inferior rectus (Downward) Inferior rectus (Downward)

Architecture of Neural Network (Cont’d) OUTPUT: Activity Levels of Motor Neurons, innervating Right-Eye extraocular muscles leftward upward downward rightward Activity Level= Vector_avg. /k (k: Maximum amplitude)

Architecture of Neural Network (Cont’d) leftward upward downward rightward MNs a b c d h-IBNs up-IBNs down-EBNs OPNs h-EBNs up-EBNs h-LLBNs v-LLBNs Excitatory connections SC Inhibitory connections