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A quest for excitation: Theoretical arguments and immunohistochemical evidence of excitatory granular cells in the ELL of Gnathonemus petersii
- Source :
- Journal of Physiology-Paris. 110:190-199
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- The Electrosensory Lateral Line lobe (ELL) is the first central target where the electrosensory information encoded in the spatiotemporal pattern electroreceptor afferent discharges is processed. These afferents encode the minute amplitude changes of the basal electric field through both a change in latency and discharge rate. In the ELL the time and rate-coded input pattern of the sensory periphery goes through the granular cell layer before reaching the main efferent cells of the network: large fusiform (LF) and large ganglion (LG) cells. The evidence until now shows that granular cells are inhibitory. Given that large fusiform cells are excited by the sensory input, it remains a mystery how the afferent input produce excitation through a layer composed by only inhibitory cells. We addressed this problem by modeling how the known circuitry of the ELL could produce excitation in LF cells with only inhibitory granular cells. Alternatively we show that a network composed of a mix of excitatory and inhibitory granular cell not only performs better, as expected, carrying excitation to LF cells but it does so robustly and at higher sensitivity by enhancing the contrast of the electric image between the periphery and the ELLs output. We then show with refined histological methods that a subpopulation of the granular cells indeed are excitatory, providing the necessary input for this contrast enhancing mechanism. Copyright 2016 Elsevier Ltd. All rights reserved.
- Subjects :
- 0301 basic medicine
Efferent
Electric fish
Sensory system
Inhibitory postsynaptic potential
03 medical and health sciences
0302 clinical medicine
Physiology (medical)
medicine
Animals
Neurons
Physics
Electric Organ
Communication
Gnathonemus
biology
business.industry
General Neuroscience
Integrate and fire modeling
Spatiotemporal pattern
Sensory coding
biology.organism_classification
Immunohistochemistry
Ganglion
030104 developmental biology
medicine.anatomical_structure
Pattern Recognition, Physiological
Excitatory postsynaptic potential
Networks
business
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 09284257
- Volume :
- 110
- Database :
- OpenAIRE
- Journal :
- Journal of Physiology-Paris
- Accession number :
- edsair.doi.dedup.....fcd487c72644fde3f6a75f248a03aa28
- Full Text :
- https://doi.org/10.1016/j.jphysparis.2016.10.008