Literature DB >> 12435925

Mathematical models of cochlear nucleus onset neurons: I. Point neuron with many weak synaptic inputs.

Sridhar Kalluri1, Bertrand Delgutte.   

Abstract

The cochlear nucleus (CN) presents a unique opportunity for quantitatively studying input-output transformations by neurons because it gives rise to a variety of different response types from a relatively homogeneous input source, the auditory nerve (AN). Particularly interesting among CN neurons are Onset (On) neurons, which have a prominent response to the onset of sustained sounds followed by little or no response in the steady-state. On neurons contrast sharply with their AN inputs, which respond vigorously throughout stimuli. On neurons can entrain to stimuli (firing once per cycle of a periodic stimulus) at up to 1000 Hz, unlike their AN inputs. To understand the mechanisms underlying these response patterns, we tested whether an integrate-to-threshold point-neuron model with a fixed refractory period can account for On discharge patterns for tones, systematically examining the effect of membrane time constant and the number and strength of the exclusively excitatory AN synaptic inputs. To produce both onset responses to high-frequency tone bursts and entrainment to a broad range of low-frequency tones, the model must have a short time constant ( approximately 0.125 ms) and a large number (>100) of weak synaptic inputs, properties that are consistent with the electrical properties and anatomy of On-responding cells. With these parameters, the model acts like a coincidence detector with a threshold-like relationship between the instantaneous discharge rates of the output and the inputs. Onset responses to high-frequency tone bursts result because the threshold effect enhances the initial response of the AN inputs and suppresses their relatively lower sustained response. However, when the model entrains across a broad range of frequencies, it also produces short interspike intervals at the onset of high-frequency tone bursts, a response pattern not found in all types of On neurons. These results show a tradeoff, that may be a general property of many neurons, between following rapid stimulus fluctuations and responding without short interspike intervals at the onset of sustained stimuli.

Mesh:

Year:  2003        PMID: 12435925      PMCID: PMC2280068          DOI: 10.1023/a:1021128418615

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  51 in total

1.  Single unit activity in the posteroventral cochlear nucleus of the cat.

Authors:  D A Godfrey; N Y Kiang; B E Norris
Journal:  J Comp Neurol       Date:  1975-07-15       Impact factor: 3.215

2.  Single unit activity in the dorsal cochlear nucleus of the cat.

Authors:  D A Godfrey; N Y Kiang; B E Norris
Journal:  J Comp Neurol       Date:  1975-07-15       Impact factor: 3.215

3.  Octopus cells in the cochlear nucleus of the cat: heterotypic synapses upon homeotypic neurons.

Authors:  E C Kane
Journal:  Int J Neurosci       Date:  1973       Impact factor: 2.292

4.  The neuronal architecture of the cochlear nucleus of the cat.

Authors:  J R Brawer; D K Morest; E C Kane
Journal:  J Comp Neurol       Date:  1974-06-01       Impact factor: 3.215

5.  Organization of the neurons in the anterior division of the anteroventral cochlear nucleus of the cat. Light-microscopic observations.

Authors:  N B Cant; D K Morest
Journal:  Neuroscience       Date:  1979       Impact factor: 3.590

6.  Theory of binaural interaction based on auditory-nerve data. II. Detection of tones in noise.

Authors:  H S Colburn
Journal:  J Acoust Soc Am       Date:  1977-02       Impact factor: 1.840

7.  The neuronal architecture of the anteroventral cochlear nucleus of the cat in the region of the cochlear nerve root: Golgi and Nissl methods.

Authors:  L P Tolbert; D K Morest
Journal:  Neuroscience       Date:  1982       Impact factor: 3.590

8.  The transmission of signals by auditory-nerve fiber discharge patterns.

Authors:  D H Johnson; A Swami
Journal:  J Acoust Soc Am       Date:  1983-08       Impact factor: 1.840

9.  Physiological response properties of cells labeled intracellularly with horseradish peroxidase in cat ventral cochlear nucleus.

Authors:  W S Rhode; D Oertel; P H Smith
Journal:  J Comp Neurol       Date:  1983-02-01       Impact factor: 3.215

10.  The relationship between spike rate and synchrony in responses of auditory-nerve fibers to single tones.

Authors:  D H Johnson
Journal:  J Acoust Soc Am       Date:  1980-10       Impact factor: 1.840

View more
  16 in total

1.  Mathematical models of cochlear nucleus onset neurons: II. model with dynamic spike-blocking state.

Authors:  Sridhar Kalluri; Bertrand Delgutte
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

2.  Response properties of an integrate-and-fire model that receives subthreshold inputs.

Authors:  Xuedong Zhang; Laurel H Carney
Journal:  Neural Comput       Date:  2005-12       Impact factor: 2.026

3.  A functional point-neuron model simulating cochlear nucleus ideal onset responses.

Authors:  Ulrike Dicke; Torsten Dau
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

4.  First-spike latency information in single neurons increases when referenced to population onset.

Authors:  Steven M Chase; Eric D Young
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-09       Impact factor: 11.205

Review 5.  The volley theory and the spherical cell puzzle.

Authors:  P X Joris; P H Smith
Journal:  Neuroscience       Date:  2008-03-08       Impact factor: 3.590

6.  Modeling binaural responses in the auditory brainstem to electric stimulation of the auditory nerve.

Authors:  Yoojin Chung; Bertrand Delgutte; H Steven Colburn
Journal:  J Assoc Res Otolaryngol       Date:  2014-10-28

7.  Sensitivity of cochlear nucleus neurons to spatio-temporal changes in auditory nerve activity.

Authors:  Grace I Wang; Bertrand Delgutte
Journal:  J Neurophysiol       Date:  2012-09-12       Impact factor: 2.714

8.  Refractoriness enhances temporal coding by auditory nerve fibers.

Authors:  Michael Avissar; John H Wittig; James C Saunders; Thomas D Parsons
Journal:  J Neurosci       Date:  2013-05-01       Impact factor: 6.167

Review 9.  Information Processing by Onset Neurons in the Cat Auditory Brainstem.

Authors:  Alberto Recio-Spinoso; William S Rhode
Journal:  J Assoc Res Otolaryngol       Date:  2020-05-26

10.  Neural Coding of Interaural Time Differences with Bilateral Cochlear Implants in Unanesthetized Rabbits.

Authors:  Yoojin Chung; Kenneth E Hancock; Bertrand Delgutte
Journal:  J Neurosci       Date:  2016-05-18       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.