/*
* Copyright (c) 2005–2012 Goethe Center for Scientific Computing - Simulation and Modelling (G-CSC Frankfurt)
* Copyright (c) 2012-2015 Goethe Center for Scientific Computing - Computational Neuroscience (G-CSC Frankfurt)
*
* This file is part of NeuGen.
*
* NeuGen is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License version 3
* as published by the Free Software Foundation.
*
* see: http://opensource.org/licenses/LGPL-3.0
* file://path/to/NeuGen/LICENSE
*
* NeuGen is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* This version of NeuGen includes copyright notice and attribution requirements.
* According to the LGPL this information must be displayed even if you modify
* the source code of NeuGen. The copyright statement/attribution may not be removed.
*
* Attribution Requirements:
*
* If you create derived work you must do the following regarding copyright
* notice and author attribution.
*
* Add an additional notice, stating that you modified NeuGen. In addition
* you must cite the publications listed below. A suitable notice might read
* "NeuGen source code modified by YourName 2012".
*
* Note, that these requirements are in full accordance with the LGPL v3
* (see 7. Additional Terms, b).
*
* Publications:
*
* S. Wolf, S. Grein, G. Queisser. NeuGen 2.0 -
* Employing NeuGen 2.0 to automatically generate realistic
* morphologies of hippocapal neurons and neural networks in 3D.
* Neuroinformatics, 2013, 11(2), pp. 137-148, doi: 10.1007/s12021-012-9170-1
*
*
* J. P. Eberhard, A. Wanner, G. Wittum. NeuGen -
* A tool for the generation of realistic morphology
* of cortical neurons and neural networks in 3D.
* Neurocomputing, 70(1-3), pp. 327-343, doi: 10.1016/j.neucom.2006.01.028
*
*/
package org.neugen.datastructures;
import java.io.Serializable;
import javax.vecmath.Point3f;
/**
* @author Sergei Wolf
*/
public class CellBase implements Cell, Serializable {
private static final long serialVersionUID = -4623546484283033478L;
/** The name of the cell. */
protected String name;
/** The type of cell. */
protected String type;
/** The soma of neuron. */
protected final Cellipsoid soma;
public CellBase() {
soma = new Cellipsoid();
}
/**
* Get the value of name
*
* @return the value of name
*/
@Override
public String getName() {
return name;
}
/**
* Set the value of name
*
* @param instanceName new value of name
*/
@Override
public void setName(String name) {
this.name = name;
}
@Override
/** Return type name of the neuron. */
public String getType() {
return type;
}
/**
* Get the value of soma
*
* @return the value of soma
*/
@Override
public Cellipsoid getSoma() {
return soma;
}
/**
* Define a neuron. It defines its axon with its radius and number of compartments,
* and calls the function setNeuron.
* @param somaMid new mid point of soma.
* @param somaRadius new radius of soma.
*/
@Override
public void setSoma(Point3f somaMid, float somaRadius) {
soma.setCellipsoid(somaMid, somaRadius);
}
}