Neural Correlations, Population Coding and Computation.¶
Averbeck, B. B., Latham, P. E., & Pouget, A. (2006). Neural Correlations, Population Coding and Computation. Nature Reviews Neuroscience, 7(5), 358-366.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Population Coding
- The partially-independent noise is the per-neuron spiking variability, largely independent across neurons, so it averages out in the sum — and the prime correctly flags correlated noise (shared input fluctuations) as the main thing that caps achievable precision, formalized by Fisher information.
This sourceShows how noise correlations across a population cap achievable decoding precision.
- The partially-independent noise is the per-neuron spiking variability, largely independent across neurons, so it averages out in the sum — and the prime correctly flags correlated noise (shared input fluctuations) as the main thing that caps achievable precision, formalized by Fisher information.
Verification¶
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Registry ID ref:5860768b1e7d · see in the full table