Jeffress coincidence detection explains how neurons encode interaural time differences.

Evidence

The majority of the binaural processing algorithms are based on the coincidence detection model proposed by Jeffress (1948). The model suggests that certain neurons in the brain are narrowly tuned to specific ITDs between the ear canal signals. As illustrated in Figure 13.13, the model consists of an array of coincidence-detector neurons receiving excitatory signals from both ears, and delay lines are used to represent axons connecting the neuron to the cochlear nuclei of the left and right ears. The highest activity is then received from the coincidence-detector neuron where the propagation delay in the inputs effectively cancels out the ITD between the left and right ear inputs. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1662

The majority of the binaural processing algorithms are based on the coincidence detection model proposed by Jeffress (1948). The model suggests that certain neurons in the brain are narrowly tuned to specific ITDs between the ear canal signals. As illustrated in Figure 13.13, the model consists of an array of coincidence-detector neurons receiving excitatory signals from both ears, and delay lines are used to represent axons connecting the neuron to the cochlear nuclei of the left and right ears. The highest activity is then received from the coincidence-detector neuron where the propagation delay in the inputs effectively cancels out the ITD between the left and right ear inputs. This probably also facilitates channels sensitive to specific ITDs, as suggested by (Fastl and Zwicker, 2007). — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1662

Categorization

• DEFINE: Explains the Jeffress place-code model — how delay lines make each neuron respond maximally to one specific ITD.
• corroborated: 2 independent passages support this claim — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1662