Computational network

A network sensitive to K vectors, each describable by N bits, comprising:

• an input port including N input leads for accepting applied input signals;
• an amplification network responsive to said N input leads, for developing N output signals;
• a template projection network responsive to said N output signals for developing K projection signals, each indicative of the projection of said N output signals on a different one of said K vectors;
• a decision network responsive to said K projection signals for developing K drive signals indicative of the largest of said K projection signals;
• and
• a template generator network responsive to said K drive signals for developing N template generation signals, applied to said N input leads, for driving said N output signals to a state corresponding to one of said K vectors.

A network for storing K vectors of N bits each where each vector M.sub.j with j assuming values from 1 to K, includes bits M.sub.ij, with i assuming values from 1 to N, comprising:

• K amplifiers having input ports and output ports;
• a feedback network having K output leads connected to said input ports of said amplifiers and K input leads connected to said output ports of said amplifiers, with each input lead, i, of said feedback network connected within said feedback network to each output lead, j, of said feedback network through an inhibitory connection of a first fixed value for all i.noteq.j;
• and
• an interconnection network having K input leads connected to said output ports of said amplifiers, K output leads connected to said input ports of said amplifiers, and N network interface leads, where each interface lead, i, is connected to each output lead of said interconnection network, j, through a connection C.sub.ij, and to each input lead of said interconnection network, j, through a connection C'.sub.ij, and where both said C.sub.ij and C'.sub.ij connections are related to said M.sub.ij.

A network for selecting a best match for an applied input signal having N components from among a stored set of M template signals having N components, where N, and M are integers, comprising:

• a first template network having N inputs and M outputs, with connection strength means for each input i for affecting the output of each output j, i and j being integers in the range 1 to N and 1 to M, respectively;
• and
• threshold means responsive to said M outputs for applying a threshold to said M outputs,
• wherein said connection strength means between an output j and the N inputs correspond to one of said stored templates and to no other of said stored templates.