Extended Data Fig. 5: Drift of 2D place cells in the model. | Nature Neuroscience

Extended Data Fig. 5: Drift of 2D place cells in the model.

From: Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning

Extended Data Fig. 5

(a) Representational similarity is preserved despite the continuous drift of place cell RFs. Positions on the plane (discretized as 32 × 32 lattice) are represented by an index from 1 to 1024. (b) The dynamics of RFs are intermittent. The peak amplitude of an example place field has active and silent bouts. (c) The intervals of silent bouts follow approximately an exponential distribution. (d) At the population level, there is a constant fraction of active RFs over time. (e) Dependence of the effective diffusion constant on the total number output neurons. Error bars: mean ± SD, n = 40 simulations. (f,g) Place cells that have stronger place fields tend to be active more often (f) and also more stable as indicated by smaller diffusion constant (g). Parameters used are in Supplementary Table 1 of SI.

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