SpikingNeuralDynamics.cpp

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// Copyright (c) 2005 - 2014 Marc de Kamps
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
//
//    * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
//    * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation
//      and/or other materials provided with the distribution.
//    * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software
//      without specific prior written permission.
//
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
//      If you use this software in work leading to a scientific publication, you should include a reference there to
//      the 'currently valid reference', which can be found at http://miind.sourceforge.net
#include "SpikingNeuralDynamics.hpp"

using namespace GeomLib;
using namespace MPILib;

SpikingNeuralDynamics::SpikingNeuralDynamics
(
    const OdeParameter& par_ode
):
AbstractNeuralDynamics(par_ode)
{
}

SpikingNeuralDynamics::SpikingNeuralDynamics
(
    const SpikingNeuralDynamics& rhs
):
AbstractNeuralDynamics(rhs)
{
}

SpikingNeuralDynamics::~SpikingNeuralDynamics()
{
}

std::vector<Potential> SpikingNeuralDynamics::InterpretationArray() const
{
    Number n_bins = this->Par()._nr_bins;

    std::vector<Potential> vec_ret(n_bins);

    Time delta_t = this->TPeriod()/n_bins;
    for (Index i = 0; i < n_bins; i++)
        vec_ret[i] = this->EvolvePotential(this->_par._V_min,i*delta_t);

    return vec_ret;
}