Auryn simulator  v0.8.1-206-gb56e451
Plastic Spiking Neural Network Simulator
AIF2Group.h
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1 /*
2 * Copyright 2014-2018 Friedemann Zenke
3 *
4 * This file is part of Auryn, a simulation package for plastic
5 * spiking neural networks.
6 *
7 * Auryn is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * Auryn is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with Auryn. If not, see <http://www.gnu.org/licenses/>.
19 *
20 * If you are using Auryn or parts of it for your work please cite:
21 * Zenke, F. and Gerstner, W., 2014. Limits to high-speed simulations
22 * of spiking neural networks using general-purpose computers.
23 * Front Neuroinform 8, 76. doi: 10.3389/fninf.2014.00076
24 */
25 
26 #ifndef AIF2GROUP_H_
27 #define AIF2GROUP_H_
28 
29 #include "auryn_definitions.h"
30 #include "AurynVector.h"
31 #include "AIFGroup.h"
32 #include "System.h"
33 
34 #include <boost/random/mersenne_twister.hpp>
35 #include <boost/random/variate_generator.hpp>
36 #include <boost/random/normal_distribution.hpp>
37 
38 namespace auryn {
39 
42 class AIF2Group : public AIFGroup
43 {
44 private:
45  AurynFloat scale_adapt2;
46  AurynFloat tau_adapt2;
47 
48  void init();
49  void free();
50 
51 protected:
53 
56  void check_thresholds();
57 
58 public:
60  virtual ~AIF2Group();
61 
62  void random_adapt(AurynState mean, AurynState sigma);
63 
65 
66  void clear();
67  virtual void evolve();
68 };
69 
70 }
71 
72 #endif /*AIF2GROUP_H_*/
73 
Tries to make a smart choice.
Definition: SpikingGroup.h:51
void check_thresholds()
Definition: AIF2Group.cpp:120
An adaptive integrate and fire group comparable to AIFGroup but with two independent adaptation times...
Definition: AIF2Group.h:42
void clear()
Definition: AIF2Group.cpp:54
void integrate_linear_nmda_synapses()
Definition: AIF2Group.cpp:91
void calculate_scale_constants()
Definition: AIF2Group.cpp:37
virtual ~AIF2Group()
Definition: AIF2Group.cpp:86
AIF2Group(NeuronID size, NodeDistributionMode distmode=AUTO)
Definition: AIF2Group.cpp:31
Definition: ABSConnection.h:38
AurynFloat AurynState
Type for Auryn state variables (default single precision since it needs to be compatible with auryn_v...
Definition: auryn_definitions.h:160
auryn_vector_float * g_adapt2
Definition: AIF2Group.h:52
AurynFloat dg_adapt2
Definition: AIF2Group.h:64
float AurynFloat
Low precision floating point datatype.
Definition: auryn_definitions.h:157
A simple extension of IFGroup with spike triggered adaptation.
Definition: AIFGroup.h:37
NeuronID size
Stores the size of the group.
Definition: SpikingGroup.h:119
void random_adapt(AurynState mean, AurynState sigma)
Definition: AIF2Group.cpp:63
virtual void evolve()
Virtual pure evolve function which needs to be implemented by derived classes.
Definition: AIF2Group.cpp:139
Default AurynVectorFloat class for performance computation.
Definition: AurynVector.h:796
unsigned int NeuronID
NeuronID is an unsigned integeger type used to index neurons in Auryn.
Definition: auryn_definitions.h:151
NodeDistributionMode
Specifies howto distribute different neurons across ranks when simulation is run in parallel...
Definition: SpikingGroup.h:50