title: Tonotopic Optimization for Temporal Processing in the Cochlear Nucleus.
abstract: In the auditory system, sounds are processed in parallel frequency-tuned circuits, beginning in the cochlea. Auditory nerve fibers reflect this tonotopy and encode temporal properties of acoustic stimuli by "locking" discharges to a particular stimulus phase. However, physiological constraints on phase-locking depend on stimulus frequency. Interestingly, low characteristic frequency (LCF) neurons in the cochlear nucleus improve phase-locking precision relative to their auditory nerve inputs. This is proposed to arise through synaptic integration, but the postsynaptic membrane's selectivity for varying levels of synaptic convergence is poorly understood. The chick cochlear nucleus, nucleus magnocellularis (NM), exhibits tonotopic distribution of both input and membrane properties. LCF neurons receive many small inputs and have low input thresholds, whereas high characteristic frequency (HCF) neurons receive few, large synapses and require larger currents to spike. NM therefore presents an opportunity to study how small membrane variations interact with a systematic topographic gradient of synaptic inputs. We investigated membrane input selectivity and observed that HCF neurons preferentially select faster input than their LCF counterparts, and that this preference is tolerant of changes to membrane voltage. We then used computational models to probe which properties are crucial to phase-locking. The model predicted that the optimal arrangement of synaptic and membrane properties for phase-locking is specific to stimulus frequency and that the tonotopic distribution of input number and membrane excitability in NM closely tracks a stimulus-defined optimum. These findings were then confirmed physiologically with dynamic-clamp simulations of inputs to NM neurons.
  
  
  
  One way that neurons represent temporal information is by phase-locking, which is discharging in response to a particular phase of the stimulus waveform. In the auditory system, central neurons are optimized to retain or improve phase-locking precision compared with input from the auditory nerve. However, the difficulty of this computation varies systematically with stimulus frequency. We examined properties that contribute to temporal processing both physiologically and in a computational model. Neurons processing low-frequency input benefit from integration of many weak inputs, whereas those processing higher frequencies progressively lose precision by integration of multiple inputs. Here, we reveal general features of input-output optimization that apply to all neurons that process time varying input.
authors: Department of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, and.
authors: Stefan N
authors: 0000-0002-7094-3800
authors: SN
authors: Oline
authors: Cluster of Excellence "Hearing4all," Department for Neuroscience, University of Oldenburg, 26129 Oldenburg, Germany.
authors: Go
authors: 0000-0002-8886-1213
authors: G
authors: Ashida
authors: Department of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, and burger@lehigh.edu.
authors: R Michael
authors: 0000-0002-3856-3488
authors: RM
authors: Burger
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000704:Analysis of Variance; D000818:Animals; D000831:Animals, Newborn; D001306:Auditory Pathways / Q000502:physiology; D002642:Chick Embryo; D017626:Cochlear Nucleus / Q000166:cytology* / Q000196:embryology / Q000254:growth & development; D003198:Computer Simulation; D004558:Electric Stimulation; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology*; D066298:In Vitro Techniques; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D018408:Patch-Clamp Techniques; D009435:Synaptic Transmission / Q000502:physiology*
keywords: cochlear nucleus; phase-locking; synaptic convergence; tonotopy