An Automated System for Simulating Multi-Compartmenal Models and its Application to Investigate Morphological Properties of a Neuronal Coincidence Detector

M Stransky, T Wachtler, HJ Ohlbach, PL Rautenberg - frontiersin.org
Neuronal morphology plays a fundamental role for the information processing capabilities of
neurons. These dependencies can be investigated using compartmental models to simulate …

From quantification of 3D morphology of coincidence detector neurons in the MSO to a multi-compartmental model

PL Rautenberg, ET Reifenstein, C Leibold, B Grothe… - BMC …, 2009 - Springer
In the medial superior olive (MSO), neurons compute the azimuthal location of low frequency
sound sources by a temporally precise mechanism of coincidence detection. This type of …

[HTML][HTML] Soma-axon coupling configurations that enhance neuronal coincidence detection

JH Goldwyn, MWH Remme… - PLoS computational …, 2019 - journals.plos.org
Coincidence detector neurons transmit timing information by responding preferentially to
concurrent synaptic inputs. Principal cells of the medial superior olive (MSO) in the …

Site of spike initiation changes with functional context in coincidence detector neurons

S Lehnert, C Leibold - Front. Comput. Neurosci. Conference Abstract …, 2012 - frontiersin.org
Principal cells of the medial superior olive (MSO) are very fast coincidence detectors in the
auditory brainstem that encode interaural time differences by their firing rate. Their …

[HTML][HTML] Function and energy consumption constrain neuronal biophysics in a canonical computation: Coincidence detection

MWH Remme, J Rinzel, S Schreiber - PLoS computational biology, 2018 - journals.plos.org
Neural morphology and membrane properties vary greatly between cell types in the nervous
system. The computations and local circuit connectivity that neurons support are thought to …

[图书][B] Application of a computationally efficient coincidence detector model to simulate auditory brainstem neurons

G Ashida, M Dietz, J Kretzberg - 2019 - pub.dega-akustik.de
Computational modeling plays an important role in the investigation of acoustic information
processing along the auditory system. Recent studies found that a relatively simple neuronal …

[PDF][PDF] Method to measure the quality of a neuron model compared to recorded data

O Flodin - 2016 - lup.lub.lu.se
In this thesis, a method for evaluating the accuracy of mathematical neuron models is
developed, with the objective to both improve the quality and the speed of parameter …

Creating and constraining compartmental models of neurons using experimental data

SS Stefanou, G Kastellakis, P Poirazi - Advanced Patch-Clamp Analysis for …, 2016 - Springer
In order to understand the information processing at the level of individual nerve cells,
detailed information is required about the complex interactions between the anatomical …

Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

M Onizuka, H Hoang, M Kawato, IT Tokuda… - Neural networks, 2013 - Elsevier
The inferior olive (IO) possesses synaptic glomeruli, which contain dendritic spines from
neighboring neurons and presynaptic terminals, many of which are inhibitory and …

[HTML][HTML] Alternative classifications of neurons based on physiological properties and synaptic responses, a computational study

F Hernáth, K Schlett, A Szücs - Scientific reports, 2019 - nature.com
One of the central goals of today's neuroscience is to achieve the conceivably most accurate
classification of neuron types in the mammalian brain. As part of this research effort …