a1 i a2 i a4 i a5 to the neighbourhood cells and current source i a3 to the same cell such that voltage v y is multiplied by the corresponding matrix a coefficient a k and the input is then taken to the control input of the corresponding voltage controlled current source the coefficients a are called feedback terms and the coefficients b control terms the use of coefficients here refers to the generation of a voltage control to a current source by multiplying the respective common control voltage by the matrix coefficient corresponding to the current source in order to produce the current source specific control voltage when using the positive range high gain model the cell output is limited to a step function in the range 0 1 fig6 shows seven cells 11 12 13 14 15 16 17 of a one dimensional neural network according to the invention and therein a two cell neighbourhood 18 on both sides of the middle cell 14 the neighbourhood cells 12 13 15 16 affect the middle cell 14 in a manner according to matrices a and b and constant i as was described above in conjunction with the description of fig3 in accordance with their functions matrix a is called the feedback term and matrix b the control term the cellular neural network according to the invention operates in mixed mode i e the internal operation of the network is mainly analog but.