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- W22838086 abstract "First, we determined what constraints have to be fulfilled if neurons performing dot-product operations between their inputs and synaptic weight vectors have to achieve quasi-optimal decoding of their inputs, the optimum being defined by Bayesian decoding. We showed that Hebbian plasticity may not provide neurons with the neccessary weight vectors for this purpose. Second, we investigated why metric content of neuronal population responses was found to be constant regardless of how many neurons were used for decoding. We found that homogeneity of tuning precision among neurons account for this, and the contribution of neural oscillations and network architecture may also be signigificant." @default.
- W22838086 created "2016-06-24" @default.
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- W22838086 date "2003-07-09" @default.
- W22838086 modified "2023-10-01" @default.
- W22838086 title "Decoding the activity of neural networks: biological decoding and constant metric content" @default.
- W22838086 hasPublicationYear "2003" @default.
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