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Much of neural processing can be understood as compression and de-compression.

Since much of what the visual system does can be seen as compression, since SOMs can do vector quantization (VQ) and since VQ is a compression technique, it makes sense that SOMs have been useful in modeling visual processing.

Eliasmith et al. model sensory-motor processing as task-dependent compression of sensory data and decompression of motor programs.