This paper discusses three associative memory models. The three models are Tao's AM, etAM and mECR. Tao's AM is based on projection on a closed convex set spanned by patterns. etAM and mECR are based on tuning hyperplanes to get the desired error tolerance. The three models are analyzed, and then compared based on the convergence of all possible binary inputs.
