Neuronal Goals: Efficient Coding and Coincidence Detection
| Barlow's seminal work on minimal entropy codes and unsupervised learning is reiterated. In particular, the need to transmit the probability of events is put in a practical neuronal framework for detecting suspicious events. A variant of the BCM learning rule 15] is presented together with some mathematical results suggesting optimal minimal entropy coding.