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Learning of Chunking Sequences in Cognition and Behavior

Fig 7

Chunk size, number of EM in each chunk, (left) as a function of the potentiation scaling factor in Q, , (right) as a function of the time constant in the synaptic dynamics, τz.

The number of information-carrying items contained in the chunks depends on the system dynamics, suggesting that they have impact on the total capacity of the memory. The initial random conditions lead the system to different structures after learning (number and size of chunks). The case τz = 0 corresponds to completely removing the synaptic dynamics. Although the chunking is present in the absence of zj, the characteristic time scale of zj, τz has a powerful effect on chunk size. Each point was evaluated 100 times and the mean and standard deviation are presented, suggesting a monotonically increasing relationship between chunk size and or τz. In total, 98.6% of the runs exhibited sequential activity in the chunking layer. Total number of available chunk modes, NY = 30; total number of elementary modes, NX = 30.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1004592.g007