-
Something wrong with this record ?
Analytical description of coincidence detection synaptic mechanisms in the auditory pathway
PG. Toth, P. Marsalek,
Language English Country Ireland
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Action Potentials physiology MeSH
- Humans MeSH
- Sound Localization physiology MeSH
- Models, Neurological * MeSH
- Nerve Net physiology MeSH
- Sensory Receptor Cells physiology MeSH
- Synaptic Transmission physiology MeSH
- Computer Simulation MeSH
- Auditory Pathways physiology MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Localization of sound source azimuth within horizontal plane uses interaural time differences (ITDs) between sounds arriving through the left and right ear. In mammals, ITDs are processed primarily in the medial superior olive (MSO) neurons. These are the first binaural neurons in the auditory pathway. The MSO neurons are notable because they possess high time precision in the range of tens of microseconds. Several theories and experimental studies explain how neurons are able to achieve such precision. In most theories, neuronal coincidence detection processes the ITDs and encodes azimuth in ascending neurons of the auditory pathway using modalities that are more tractable than the ITD. These modalities have been described as firing rate codes, place codes (labeled line codes) and similarly. In this theoretical model it is described how the ITD is processed by coincidence detection and converted into spikes by summing the postsynaptic potentials. Particular postsynaptic conductance functions are used in order to obtain an analytical solution in a closed form. Specifically, postsynaptic response functions are derived from the exponential decay of postsynaptic conductances and the MSO neuron is modeled as a simplified version of the Spike Response Model (SRM0) which uses linear summations of the membrane responses to synaptic inputs. For plausible ratios of time constants, an analytical solution used to describe properties of coincidence detection window is obtained. The parameter space is then explored in the vicinity of the analytical solution. The variation of parameters does not change the solution qualitatively.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc16028353
- 003
- CZ-PrNML
- 005
- 20161019102347.0
- 007
- ta
- 008
- 161005s2015 ie f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.biosystems.2015.07.006 $2 doi
- 024 7_
- $a 10.1016/j.biosystems.2015.07.006 $2 doi
- 035 __
- $a (PubMed)26190796
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ie
- 100 1_
- $a Toth, Peter G $u Charles University in Prague, First Medical Faculty, Institute of Pathological Physiology, U Nemocnice 5, 128 53 Prague, Czech Republic.
- 245 10
- $a Analytical description of coincidence detection synaptic mechanisms in the auditory pathway / $c PG. Toth, P. Marsalek,
- 520 9_
- $a Localization of sound source azimuth within horizontal plane uses interaural time differences (ITDs) between sounds arriving through the left and right ear. In mammals, ITDs are processed primarily in the medial superior olive (MSO) neurons. These are the first binaural neurons in the auditory pathway. The MSO neurons are notable because they possess high time precision in the range of tens of microseconds. Several theories and experimental studies explain how neurons are able to achieve such precision. In most theories, neuronal coincidence detection processes the ITDs and encodes azimuth in ascending neurons of the auditory pathway using modalities that are more tractable than the ITD. These modalities have been described as firing rate codes, place codes (labeled line codes) and similarly. In this theoretical model it is described how the ITD is processed by coincidence detection and converted into spikes by summing the postsynaptic potentials. Particular postsynaptic conductance functions are used in order to obtain an analytical solution in a closed form. Specifically, postsynaptic response functions are derived from the exponential decay of postsynaptic conductances and the MSO neuron is modeled as a simplified version of the Spike Response Model (SRM0) which uses linear summations of the membrane responses to synaptic inputs. For plausible ratios of time constants, an analytical solution used to describe properties of coincidence detection window is obtained. The parameter space is then explored in the vicinity of the analytical solution. The variation of parameters does not change the solution qualitatively.
- 650 _2
- $a akční potenciály $x fyziologie $7 D000200
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a sluchová dráha $x fyziologie $7 D001306
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a modely neurologické $7 D008959
- 650 _2
- $a nervová síť $x fyziologie $7 D009415
- 650 _2
- $a nervové receptory $x fyziologie $7 D011984
- 650 _2
- $a lokalizace zvuku $x fyziologie $7 D013017
- 650 _2
- $a nervový přenos $x fyziologie $7 D009435
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Marsalek, Petr $u Czech Technical University in Prague, Faculty of Biomedical Engineering, Nam. Sitna 3105, 272 01 Kladno, Czech Republic. Electronic address: Petr.Marsalek@lf1.cuni.cz.
- 773 0_
- $w MED00000785 $t Bio Systems $x 1872-8324 $g Roč. 136, č. - (2015), s. 90-8
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/26190796 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20161005 $b ABA008
- 991 __
- $a 20161019102752 $b ABA008
- 999 __
- $a ok $b bmc $g 1166667 $s 952983
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2015 $b 136 $c - $d 90-8 $e 20150717 $i 1872-8324 $m Biosystems $n Biosystems $x MED00000785
- LZP __
- $a Pubmed-20161005