Topic: pattern decorrelation

Sparse coding is an effective computational strategy for ensuring robust pattern storage and memory recall of correlated patterns. In the hippocampus, many neurons fire in localised receptive fields that tile an animal's physical environment, forming a sparse spatial population code. But the underlying computations and their functional purpose remain unclear. Various ANNs have been proposed to learn localised, manifold-tiling codes, purportedly due to explicit constraints on network activity levels or to specific task objectives, such as predicting future observations. Here, we show that in si