Population latency distributions become Gaussian after convolution across many fibres

Evidence

Most of neural processing is probabilistic and inaccurate when considering a single neuron, but neural signal processing is based on a large number of neurons working together, which can make the output of such neural networks very precise and robust. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 794 (#expands, via linked claim)

Categorization

• XREF: connects to: Convolution mathematically links LTI system inputs to outputs.; A compound action potential equals single-fibre waveform convolved with spike latency distribution — Dijk, Pim van, Physiology, Psychoacoustics and…, 2383; Inter-fibre latency variation across fibres is Gaussian despite single-fibre responses being gamma-shaped (+2 more)

Broader Connections

• Population coding across many neurons achieves precise and robust auditory processing #expands (0.72) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 794