Which neural coding scheme does the vector averaging belongs to? A: cable line coding B: population coding C: color coding D: shape coding
Which neural coding scheme does the vector averaging belongs to? A: cable line coding B: population coding C: color coding D: shape coding
Which neural coding scheme does the vector averaging belongs to? A: (A) cable line coding B: (B) population coding C: (C) color coding D: (D) shape coding
Which neural coding scheme does the vector averaging belongs to? A: (A) cable line coding B: (B) population coding C: (C) color coding D: (D) shape coding
advanced composites ( ) aggregate composite ( ) anisotropic ( ) carbon–carbon composite ( )ceramic–matrix composite ( )cermet ( ) continuous fiber ( ) discrete (chopped) fiber ( ) E- glass ( ) fiberglass ( ) fiber- reinforced composite ( ) hybrid ( ) interfacial strength ( ) isostrain ( ) isostress ( ) laminate ( ) matrix ( ) metal–matrix composite ( ) particulate composite ( ) polymer–matrix composite ( ) property averaging ( ) specifc strength ( ) strength- to- weight ratio ( ) whisker ( ) woven fabric ( )dispersion-strengthened metal ( )
advanced composites ( ) aggregate composite ( ) anisotropic ( ) carbon–carbon composite ( )ceramic–matrix composite ( )cermet ( ) continuous fiber ( ) discrete (chopped) fiber ( ) E- glass ( ) fiberglass ( ) fiber- reinforced composite ( ) hybrid ( ) interfacial strength ( ) isostrain ( ) isostress ( ) laminate ( ) matrix ( ) metal–matrix composite ( ) particulate composite ( ) polymer–matrix composite ( ) property averaging ( ) specifc strength ( ) strength- to- weight ratio ( ) whisker ( ) woven fabric ( )dispersion-strengthened metal ( )
Set X_i=(x_i (1),x_i (2),⋯,x_i (n)) as the behavior sequence of factor X_i, D_1 as the sequence operator, and X_i D_1=(x_i (1)d_1,x_i (2)d_1,⋯,x_i (n)d_1), where x_i (k)d_1=x_i (k)/x_i (1); x_i (1)≠0, k=1,2,⋯,n, then D_1 is A: A. Initial valued operator B: B. Averaging operator C: C. Interval valued operator D: D. Invert operator
Set X_i=(x_i (1),x_i (2),⋯,x_i (n)) as the behavior sequence of factor X_i, D_1 as the sequence operator, and X_i D_1=(x_i (1)d_1,x_i (2)d_1,⋯,x_i (n)d_1), where x_i (k)d_1=x_i (k)/x_i (1); x_i (1)≠0, k=1,2,⋯,n, then D_1 is A: A. Initial valued operator B: B. Averaging operator C: C. Interval valued operator D: D. Invert operator