NEURON 7.7.2 – Simulations of Neurons and Networks of Neurons

NEURON 7.7.2

:: DESCRIPTION

NEURON is a simulation environment for developing and exercising models of neurons and networks of neurons. It is particularly well-suited to problems where cable properties of cells play an important role, possibly including extracellular potential close to the membrane), and where cell membrane properties are complex, involving many ion-specific channels, ion accumulation, and second messengers.

::DEVELOPER

NEURON team

:: SCREENSHOTS

NEURON1

:: REQUIREMENTS

  • Linux /Mac OsX / Windows

:: DOWNLOAD

 NEURON

:: MORE INFORMATION

Citation:

NEURON: a tool for neuroscientists.
Hines ML, Carnevale NT.
Neuroscientist. 2001 Apr;7(2):123-35. Review.

Neuron 1.01 – Simulation of Neuron

Neuron 1.01

:: DESCRIPTION

Neuron stimulates a neuron and monitor what happens. Pause, rewind, and move forward in time in order to observe the ions as they move across the neuron membrane.

::DEVELOPER

the PhET™ project at the University of Colorado

:: SCREENSHOTS

Neuron

:: REQUIREMENTS

  • Windows / Mac OsX / Linux
  • Java

:: DOWNLOAD

 Neuron

:: MORE INFORMATION

Citation

Science. 2008 Oct 31;322(5902):682-3. doi: 10.1126/science.1161948.
PHYSICS. PhET: simulations that enhance learning.
Wieman CE, Adams WK, Perkins KK.

NeuronIQ 1.5 – Quantitative Neuron Image Analysis

NeuronIQ 1.5

:: DESCRIPTION

NeuronIQ ( Neuron Image Quantitator ) is a user-friendly software package that is designed for quantitative Neuron image analysis, whose key features include automated dendrite and spine detection, quantification, and spine phenotype classification.

::DEVELOPER

TMHRI Center for Bioengineering and Informatics

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • MATLAB

    :: DOWNLOAD

    NeuronIQ

    :: MORE INFORMATION

    Citation:

    J. Cheng, X. Zhou, E. Miller, R.M. Witt, J. Zhu, B.L.Sabatini and S.T. Wong,
    A novel computational approach for automatic dendrite spines detection in two-photon laser scan microscopy,
    Journal of Neuroscience Method, 165(1):122-134, Sept. 2007