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<div id="projectbrief">Simulation of a 12&#39;500 neurones network</div>
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<div class="title">constant.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;</div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Spike_Treshold(0.020); <span class="comment">//V</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Tau(0.020); <span class="comment">//s</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> TauR(0.002); <span class="comment">//s (temps de repos après spike)</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> DeltaTime(0.0001); <span class="comment">//pas de temps </span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Resistance(20e6); <span class="comment">//Ohm</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Standard_potential(0); <span class="comment">//V</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Refractory_potential(0.010);</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> mV(1000); <span class="comment">//transform mV into V</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> ms(1000); <span class="comment">//transform ms into s</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> toMs(0.001); <span class="comment">//transform second into ms</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> bufferSize(16); <span class="comment">//1+synaptic_delay</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> synaptic_delay(15); <span class="comment">//delay before the spike is recorded by the receiving neurone</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> g(5); </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Je(0.0001); </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> Ji(-g*Je); </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> Ne(10000); <span class="comment">//Excitatory neurons</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> Ni(2500); <span class="comment">//Inhibitory neurons</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> Ce(1000); <span class="comment">//Connected Excitatory neurons </span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> Ci(250); <span class="comment">//Connected Inhibitory neurons</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> Cext(1000); <span class="comment">//Connections from outside the network</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="keyword">const</span> <span class="keywordtype">int</span> MeanByDeltaTime(2); <span class="comment">//Mean of spikes from the outside of the network by unit of time</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="keyword">const</span> <span class="keywordtype">double</span> c1 (exp(-DeltaTime/Tau)); <span class="comment">//constant for the calculation of the new potential</span></div></div><!-- fragment --></div><!-- contents -->
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