1. A method of information transmission, comprising the steps of: (a) recursively generating code words in a neural network as successive states resulting from reverse dynamic flows; (b) encoding symbols by said code words; (c) transmitting said code words; and (d) decoding said transmitted code words into symbols.
1. A method of information transmission, comprising the steps of: (a) recursively generating code words in a neural network as successive states resulting from reverse dynamic flows; (b) encoding symbols by said code words; (c) transmitting said code words; and (d) decoding said transmitted code words into symbols. 4. The method of claim 1, wherein: (a) said code words include a sequence of K N-bit binary words; and (b) said recursive generation includes the steps of: (i) providing a Hopfield neural network with N neurons but with dynamical evolution away from stored states defining the interconnection strengths; (ii) providing an initial N-bit binary code word U.sup.1 ; (iii) setting the interconnection strengths of said neural network T.sub.ij =U.sub.i.sup.1 U.sub.j.sup.1 for all i and j except setting T.sub.ii =0; (iv) inputting U.sup.1 into said neural network, and letting said neural network evolve to a stable state V; (v) taking said stable state V to define a new binary code word U.sup.2 ; (vi) updating said interconnection strengths by adding U.sub.i.sup.2 U.sub.j.sup.2 to the current T.sub.ij for all i and j except i=j; (vii) repeating steps (iv)-(vi) with U.sup.k replaced by U.sup.k+1 for k=1, 2, . . . , K-1; and (viii) taking said U.sup.1, U.sup.2, . . . U.sup.k as said code words.