Population coding across many neurons achieves precise and robust auditory processing

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

Categorization

• XREF: Parallels to neural-network population coding ideas in machine learning and brain-computer-interface design. — connects to: Each inner hair cell drives about 20 auditory-nerve neurons; Single auditory neurons encode only a narrow 20-40 dB dynamic range — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 785; The superior colliculus uniquely holds an auditory spatial map aligned with the visual map (+4 more)
• corroborated: 3 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 794

Broader Connections

• Neural signals encode auditory information through spike timing patterns #expands (0.78)