Literature DB >> 23493337

Get the rhythm: modeling neuronal activity.

Patrick Meuth1, Sven G Meuth, Daniel Jacobi, Tilman Broicher, Hans-Christian Pape, Thomas Budde.   

Abstract

The simulation system NEURON is a common research tool for constructing structurally and functionally realistic models of neuronal systems. NEURON allows the development of simulations at any level of complexity, from subcellular components to single cells, cellular networks, and system-level models. Focusing on an in vitro cell model of a single, acutely isolated thalamic neuron, we used the simulation environment to address and to discuss the following questions in an undergraduate course: (i) Which parts are required to design a single compartment with passive electrical properties? (ii) Which components are necessary to model a single action potential or a train of action potentials? (iii) What can we learn from voltage-clamp and current-clamp experiments? (iv) What kind of cellular parameters are accessible from the modeling data? (v) What are the differences between single-compartment models and multi-compartment models? (vi) What are the advantages and disadvantages of artificial cell models? (vii) Can realistic modeling open up new strategies to discover the way that neurons process information?

Entities:  

Keywords:  NEURON; cellular parameters; computational models; current-clamp; ion channels; neurons; simulation; voltage-clamp

Year:  2005        PMID: 23493337      PMCID: PMC3592624     

Source DB:  PubMed          Journal:  J Undergrad Neurosci Educ        ISSN: 1544-2896


  18 in total

1.  Modeling sleep and wakefulness in the thalamocortical system.

Authors:  Sean Hill; Giulio Tononi
Journal:  J Neurophysiol       Date:  2004-11-10       Impact factor: 2.714

2.  Simulation of the currents involved in rhythmic oscillations in thalamic relay neurons.

Authors:  J R Huguenard; D A McCormick
Journal:  J Neurophysiol       Date:  1992-10       Impact factor: 2.714

3.  Dynamics of neurons in the cat lateral geniculate nucleus: in vivo electrophysiology and computational modeling.

Authors:  P Mukherjee; E Kaplan
Journal:  J Neurophysiol       Date:  1995-09       Impact factor: 2.714

4.  Evaluation of simplified compartmental models of reconstructed neocortical neurons for use in large-scale simulations of biological neural networks.

Authors:  M E Jackson; L J Cauller
Journal:  Brain Res Bull       Date:  1997       Impact factor: 4.077

5.  Electrotonic architecture of type-identified alpha-motoneurons in the cat spinal cord.

Authors:  J W Fleshman; I Segev; R B Burke
Journal:  J Neurophysiol       Date:  1988-07       Impact factor: 2.714

6.  Modeling the electrical behavior of anatomically complex neurons using a network analysis program: passive membrane.

Authors:  I Segev; J W Fleshman; J P Miller; B Bunow
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

7.  A model of the inward current Ih and its possible role in thalamocortical oscillations.

Authors:  A Destexhe; A Babloyantz
Journal:  Neuroreport       Date:  1993-02       Impact factor: 1.837

Review 8.  The thalamus as a neuronal oscillator.

Authors:  M Steriade; M Deschenes
Journal:  Brain Res       Date:  1984-11       Impact factor: 3.252

9.  Integrated undergraduate research experience for the study of brain injury.

Authors:  Clifford L Barnes; Michelle Sierra; Eugene R Delay
Journal:  J Undergrad Neurosci Educ       Date:  2003-06-15

Review 10.  Computational modeling of entorhinal cortex.

Authors:  M E Hasselmo; E Fransen; C Dickson; A A Alonso
Journal:  Ann N Y Acad Sci       Date:  2000-06       Impact factor: 5.691

View more
  7 in total

1.  Modulation of pacemaker channel function in a model of thalamocortical hyperexcitability by demyelination and cytokines.

Authors:  Rahul Chaudhary; Stefanie Albrecht; Maia Datunashvili; Manuela Cerina; Annika Lüttjohann; Ye Han; Venu Narayanan; Dane M Chetkovich; Tobias Ruck; Tanja Kuhlmann; Hans-Christian Pape; Sven G Meuth; Mehrnoush Zobeiri; Thomas Budde
Journal:  Cereb Cortex       Date:  2022-10-08       Impact factor: 4.861

2.  Reciprocal modulation of I (h) and I (TASK) in thalamocortical relay neurons by halothane.

Authors:  Thomas Budde; Philippe Coulon; Matthias Pawlowski; Patrick Meuth; Tatyana Kanyshkova; Ansgar Japes; Sven G Meuth; Hans-Christian Pape
Journal:  Pflugers Arch       Date:  2008-05-14       Impact factor: 3.657

3.  Postnatal expression pattern of HCN channel isoforms in thalamic neurons: relationship to maturation of thalamocortical oscillations.

Authors:  Tatyana Kanyshkova; Matthias Pawlowski; Patrick Meuth; Celine Dubé; Roland A Bender; Amy L Brewster; Arnd Baumann; Tallie Z Baram; Hans-Christian Pape; Thomas Budde
Journal:  J Neurosci       Date:  2009-07-08       Impact factor: 6.167

4.  Modulation of Hyperpolarization-Activated Inward Current and Thalamic Activity Modes by Different Cyclic Nucleotides.

Authors:  Maia Datunashvili; Rahul Chaudhary; Mehrnoush Zobeiri; Annika Lüttjohann; Evanthia Mergia; Arnd Baumann; Sabine Balfanz; Björn Budde; Gilles van Luijtelaar; Hans-Christian Pape; Doris Koesling; Thomas Budde
Journal:  Front Cell Neurosci       Date:  2018-10-24       Impact factor: 5.505

5.  SWIMMY: Free Software for Teaching Neurophysiology of Neuronal Circuits.

Authors:  William Grisham; Natalie A Schottler; Franklin B Krasne
Journal:  J Undergrad Neurosci Educ       Date:  2008-10-15

6.  Teaching basic principles of neuroscience with computer simulations.

Authors:  Evyatar Av-Ron; John H Byrne; Douglas A Baxter
Journal:  J Undergrad Neurosci Educ       Date:  2006-06-15

7.  Modulation of thalamocortical oscillations by TRIP8b, an auxiliary subunit for HCN channels.

Authors:  Mehrnoush Zobeiri; Rahul Chaudhary; Maia Datunashvili; Robert J Heuermann; Annika Lüttjohann; Venu Narayanan; Sabine Balfanz; Patrick Meuth; Dane M Chetkovich; Hans-Christian Pape; Arnd Baumann; Gilles van Luijtelaar; Thomas Budde
Journal:  Brain Struct Funct       Date:  2017-11-22       Impact factor: 3.270

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.