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- Title
Short-Term Synaptic Depression Is Topographically Distributed in the Cochlear Nucleus of the Chicken.
- Authors
Oline, Stefan N.; Burger, R. Michael
- Abstract
In the auditory system, sounds are processed in parallel frequency-tuned circuits, beginning in the cochlea. Activity of auditory nerve fibers reflects this frequency-specific topographic pattern, known as tonotopy, and imparts frequency tuning onto their postsynaptic target neurons in the cochlear nucleus. In birds, cochlear nucleus magnocellularis (NM) neurons encode the temporal properties of acoustic stimuli by "locking" discharges to a particular phase of the input signal. Physiological specializations exist in gradients corresponding to the tonotopic axis inNMthat reflect the characteristic frequency (CF) of their auditory nerve fiber inputs. One feature ofNM neurons that has not been investigated across the tonotopic axis is short-term synaptic plasticity. NM offers a rather homogeneous population of neurons with a distinct topographical distribution of synaptic properties that is ideal for the investigation of specialized synaptic plasticity. Here we demonstrate for the first time that short-term synaptic depression (STD) is expressed topographically, where unitary high CF synapses are more robust with repeated stimulation. Correspondingly, high CF synapses drive spiking more reliably than their low CF counterparts. We show that postsynaptic AMPA receptor desensitization does not contribute to the observed difference in STD. Further, rate of recovery from depression, a presynaptic property, does not differ tonotopically. Rather, we show that another presynaptic feature, readily releasable pool (RRP) size, is tonotopically distributed and inversely correlated with vesicle release probability. Mathematical model results demonstrate that these properties of vesicle dynamics are sufficient to explain the observed tonotopic distribution of STD.
- Subjects
MENTAL depression; COCHLEAR nucleus; CHICKENS; AUDITORY cortex; LONG-term synaptic depression; NEURAL circuitry; GENETICS
- Publication
Journal of Neuroscience, 2014, Vol 34, Issue 4, p1314
- ISSN
0270-6474
- Publication type
Article
- DOI
10.1523/JNEUROSCI.3073-13.2014