The brain measures interaural delay via coincidence-detector neurons and delay-line axons

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

Categorization

Category: Definitional Content

  • DEFINE: Explains the canonical Jeffress coincidence-detection mechanism for ITD coding.
  • XREF: This is a seminal mechanism that reappears in machine-listening models and neural delay-line literature.

Broader Connections

  • Interaural delay estimation is emulated mathematically by the normalized cross-correlation function #exemplifies (0.78) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1665