sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6084667708f5721f654ce6792610c3cb00561f07740cfa3715c82d042f124d76 | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
64d81736fc0d74242b462b029cff239f73abdb09c39151daceaacda2d3e8a5ab | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
85a7d790344e513cfd5176cf63e2b5e7f3844cf7604e740f298425d51838e54f | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
89fa4dadad62fe9aa7ae013b585094d153b97da13a43e442be9cf893d9e8ab6b | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
95c2c79f23bdb9515c2fae18253c38dd516085e0da90f589d62698fb47ab59ce | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
97172d6f1caca6eec8e6b92b97fe03c19fa518404601e051107050855dffb231 | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
bf15108d5230bb668d7fc53357a780f693564ba6092c56f3063aeb5140a16e12 | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
e0af6354b0b11a5842acdc60bf8ef594593fa8c769fb1bfb81a6c34a42869956 | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
fee0671f5be774c2eb27368a92f60d69f8b4495d5a6cc9ec8d04a8b7d0b56247 | NEURON | 1,816 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
04a6a246798ada0b6f0f8daffdbf347d995894bf9183d63234ff06f20f71d7fd | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
14c7070141c967b478b00d330a7f3c837568819f432aaa36e14d4dce9d7955f2 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
17f734efb4cc12e75bcb22a66639e594ed6e7e9d9ba87585f0a938ab21adc5f9 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
1a142814afdbc3f9363841b44f7de82a807415c531b8134fa4d29ce660db60fb | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
3693209da62a32a2d795236dd620fb4b1f8c2ded1c3830f722886027e0d4c654 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
3ae9139e5b12039a031d8fbe89f6525f6f9cf17c3dc3179114087e19fbfa1da8 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
4144d250bec77bab4c41a67df04d27736d80fc4af6f64a4d8ae84365a041a65b | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
43a9521006d443514b92920e212b7ab010d361c3c0fec8f43683c9f557f970a5 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
48eb608df5cbce136382f59abba0cf30f34258703d0659e53f6c1a0cb61f45f8 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
4d80df5f86a7009c9f851dfbb20e92c18e24252d6ff92e9dac729f7680a0d066 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
4f61521502ddb1db16b3441c0528e496d65ec0eabd5754ed04c361be6ca5229c | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
601bb8a3637f0e8a6f724e9ef37ccb5ad34d4eee14d96123d165f33dede40629 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
68eca144b9a6f743392b86a1ebecf93543095f1756f7db27568d51d80dee7632 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
6eb4d78e0b1eff880cae5f6caf82df662c7791f29f599b112f273a588b255b1c | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
77d6c5550760c2282aa0f37058c8023fe0751cb79128fd1c260060313fa9c765 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
79b423afbdaf436c38dbf50e0be1cc97aa4384ac83a1046334def2f0f6db871a | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
7b2b751b065465076cb04b3eab969cc14d959bc9c1e8a323afba4763b3e4320b | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
8b1b9acb648ced0fda08c6dbc9ec457a24577765fb86ee80e6e3fb8b7f0e9d51 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
a7846b956da9baa41db472cd5a5375b1967c8d683ac76a90f7877fcbf6ecc5e6 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
b3824f44d9e6f1df2aa0ab74fc61c955add7e8617eaad8c142e30134e5218b42 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
b42b9b88d3e79efc65f832ef2e2f74663c3acfd410e56fccfd143a68be44bd37 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
ba9b8da0ca11b4611765da0bd132488f4650cadddcb02ca8225a2de604396678 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
c08f8350245bbde6fad29552001dbc56e1c109cecdca39bbdd14b97c5094359e | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
d6735fa1772eea4543c0d15d22bb9d510dc9a3a6364fe9d1318eac501cd4fa2f | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
d8da8ec1706b8edd297844292243eea5a2f19d10234bb6c324acdd01aa41eae1 | NEURON | 1,817 | 69 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
275815dec6977f9fd56d0bf32186c79d7be18c49694dbf52d52462958727e5b0 | NEURON | 1,876 | 84 | NEURON {
SUFFIX hh
USEION na READ ena WRITE ina
USEION k READ ek WRITE ik
NONSPECIFIC_CURRENT il
RANGE gnabar, gkbar, gl, el, q10
}
UNITS {
(mV) = (millivolt)
(S) = (siemens)
}
PARAMETER {
gnabar = 0.12 (S/cm2)
gkbar = 0.036 (S/cm2)
gl = 0.0003 (S/cm2)
el ... |
4ae41c4d4292c95f9e1ff61bb0a019dddffd46a2db5bc921a02531432bb65254 | NEURON | 1,878 | 84 | NEURON {
SUFFIX hh06
USEION na READ ena WRITE ina
USEION k READ ek WRITE ik
NONSPECIFIC_CURRENT il
RANGE gnabar, gkbar, gl, el, q10
}
UNITS {
(mV) = (millivolt)
(S) = (siemens)
}
PARAMETER {
gnabar = 0.12 (S/cm2)
gkbar = 0.036 (S/cm2)
gl = 0.0003 (S/cm2)
el ... |
d269fd2705ed0f234fed773edaa1d528001127e280f4e302ce0736a4bcdfa834 | NEURON | 1,896 | 91 | TITLE nax
: Na current for axon. No slow inact.
: M.Migliore Jul. 1997
: added sh to account for higher threshold M.Migliore, Apr.2002
NEURON {
SUFFIX nax
USEION na READ ena WRITE ina
RANGE gbar, sh
}
PARAMETER {
sh = 5 (mV)
gbar = 0.010 (mho/cm2)
tha = -30 (mV) :... |
ba5d01173748fcf107764c47f1133e73fc5bd6c0c1e60dc1d0e5cdffce1f3c1b | NEURON | 1,903 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
bb89f4e9282140a47281a2990e02408fdef4217a154320cb9479baa581321f6f | NEURON | 1,905 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
e8ac777e8417635a9f3d027a979dd6cc9b54617fb98372899f783b2cc67d20f9 | NEURON | 1,905 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
29b981982376fa2ca6da485b203bc09796ec234e74a5b5dccbbf6c520f199dab | NEURON | 1,906 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
34689ef405aa63a50b6c6984f54ef8ba1c4c6a49ee6d8d34fb02be761fcdcd09 | NEURON | 1,906 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
404b5499f46c30c9064408499a252bf674b181661d8299bb031d74d5e2abddf5 | NEURON | 1,906 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
65b29012bd6463721dda7397473d761f6e3c549c936a11699286c41b91a40d90 | NEURON | 1,906 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
65b955944a73831d4049b31343212c72a5687a3e702e33a5745bab903eb85df5 | NEURON | 1,907 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
d99264212c78afff4d358c4bef45f25cdd3240eb81373331209d6e53b83aac15 | NEURON | 1,907 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
fb14f715071a7a1ea819e75d09eae21d51e7bf270d675b991de0f20d6bac6de8 | NEURON | 1,907 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
fb23e7196684a3f045217043059ef8d4021de6b8de391fc029cf8f53e89a1638 | NEURON | 1,907 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
4f592b00ac24abcaa533cccbdd97effb67efc14a888ca170742859d49d6200d5 | NEURON | 1,908 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
70ff26816b660db68d5c14837c1fa42192ddd0aa146d6f76d486494994e51e3a | NEURON | 1,908 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
95c74983f9f68384e0053a63e12e36f34056cf14a8e6877f3b54add1d3e49123 | NEURON | 1,908 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
9911157de8d430b36aa53827b4399026574b512c50ab5fbac87842ed5dcdf1af | NEURON | 1,908 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
051a3cc3b59d8c8d6cb7fba536bcca5b412937c314d21235b5f65bcb8cc00211 | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
06169cf3aa669075769f94070a6a6d6d18d3128eb91d6d85b31fde0b2b9917fb | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
2630588ae35d9eb8c1b4a1380b0cc5e3a50fa4c02c58312a63d7d9e4e8362543 | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
49508933def93669aa0c0dcaf4d76ae3caf4f973c2249b11df510153dc771741 | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
7a1082d1679cada666560e161467c40e0d137927f55c4e9728268b7970e56e63 | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
dcf8ce8cdd5bab7980368ab370a1b961eb0d246eff0927c65b79c41dd73ca8cb | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
eccce6673d87fb7d833a26abbd60df3022c0ab4ccc68065fb9ce8d91655db9ab | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
ee5d6b2ce4f0c854d1733b8955824f64555e94917563a76205b8fc2941e3b5a8 | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
f43397858524e02ae1a2219883939b4dc0a98d336b7b7dc24ee6a6cd2d3f666c | NEURON | 1,910 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
c1895556a8b4d004bd11546449ec1d2e0c0bfd39f90bf37bdfb63d5fe9619600 | NEURON | 1,911 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
fd9058db63b46f84fbe793984eb7347bc46af4026bedfa495628b473ea640e4e | NEURON | 1,911 | 77 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
14511d4700df1bce8a69619d75f5057f3a58928f5b43299e7c74f0a9743bdf1a | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
760e78ef10488c08c422ca68f167f336bbb05cc77eb3260e3c4ef66f55c4e802 | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
76f97709921c10c16a31aae099e86869149c9bc3b9926be1752cfc20574e8369 | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
a6dc6005c168840a08f3a5ba8f3664fdf8b27f06d9242cded31ccdc8aa8169f8 | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
af5c991429432368f65f37c343d3dc752686f3529d4c55c916bf2a1be9221c52 | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
c7d6808f07fd81eb7fe05d006845b218b55b5ee65092cc0391b1d1087ab49a99 | NEURON | 1,912 | 78 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
RNGseed=287
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed in... |
c32c8b9c1c44043be67f495817b1a524f481217b87e15bd2da201131c7b78f3a | NEURON | 1,930 | 72 | : Leaky-integrate and fire neuron
: If the threshold potential is crossed, the membrane resistance is set to a very low value
: to pull the membrane potential towards the reset potential for the duration of the refractory period.
: After that, the membrane resistance is set to the comparably higher leak resistance aga... |
b85f9b4f47e250c621b306185f7ba2d6a3d355c74e9f5df4bbd072232d6795c9 | NEURON | 1,944 | 85 | :Comment : mtau deduced from text (said to be 6 times faster than for NaTa)
:Comment : so I used the equations from NaT and multiplied by 6
:Reference : Modeled according to kinetics derived from Magistretti & Alonso 1999
:Comment: corrected rates using q10 = 2.3, target temperature 34, orginal ... |
71c7d2a32c9e63e7a07c6e0bce153b3c360816caa20e2583aae7cbf390de2f40 | NEURON | 1,979 | 76 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed i... |
428b50284fe798a6c2d497287e878ef3804ce026bd3b2a3ec71b2eff68faeefc | NEURON | 2,010 | 76 | stoptime=duration
proc init() {tstop = stoptime
finitialize (-75)
dt =0.1
}
//register APs in each GC
objref GCAPrecord[GC_number]
for a=0, GC_number-1 {access GC[a].soma
GCAPrecord[a]=new APCount(0.5)
GCAPrecord[a].thresh=0}
//uncoupl... |
5abaad284355476329bdeba84f034cc1d6d634645ce3d716d524ee38cfdd2a27 | NEURON | 2,011 | 76 | stoptime=duration
proc init() {tstop = stoptime
finitialize (-75)
dt =0.1
}
//register APs in each GC
objref GCAPrecord[GC_number]
for a=0, GC_number-1 {access GC[a].soma
GCAPrecord[a]=new APCount(0.5)
GCAPrecord[a].thresh=0}
//uncoupl... |
3562ad70bd3e4b834e8db3dda73df3180601f270dbe7f4c145f9892df0c4d162 | NEURON | 2,117 | 93 | //for debugging
/*
objref PC, PCvode
PC= new ParallelContext()
PC.nthread(2048)
dt=.1
load_file("stdgui.hoc")
//PC.runworker()
RNGseed=5678
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_in... |
1bc1f8f9e05538817ed6cdb29e6cd202ac78223434c8def02d6306feb10d28db | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
3454562d45281963841e43e2a3f6ae68c8829718d087938dca3d52507eabfe25 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
37d5da32fbaec3e8be5ac6abfb6b01bac2821d08c46e7f224c2890dade34943d | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
5d9b291070c8909ef2f0efac9314d88f322a2d8b9098a83e1248655270bc98e9 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
64349e32611b8571a620a87dacf512fc03b11f52e2c76ea805b5575484b7036c | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
730677e01a6bcb5aaf94e7cfb4fa996284ae0740baa233922c4abfd520629580 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
7e546f3e8fc95bc1429f195e4e1572a1d367fbb1f921492d48c1a88aa8a6edfc | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
973689140eaa4321ee6dd23a5178e975778b2aacfc052929551635afbf1c6752 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
a11928a6be13369b443d57b9f7c75b4501e464278cf92bbee8a310ab48d41cd1 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
c95662c7c172ce217b50addc269db9e47c8ac89a3f7b120d94e8bd14b71cf5b5 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
cd098cf6dacc16c41f0a5f75b28def1feb5e154fa3b60d28d108fa74e889b773 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
d211e689950e4d828b932259400415543795ce3fd6f5e1a1e0324650930486a5 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
d561204f7bf5997cbe8b4b4508080c361f6d7efc645b5d6d2a0b77b2a55526bb | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
e35a8f844540226719fc14223aa293b6df31a03fb014df2ff9fe605dda240076 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
ee2511d3354910ad67e380d5112312e6e0d589d1d629ab7b64833dcbcf632675 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
f1dde753f1542b3ffd20360c8e4a022582a7116026318ceb4f330a972e159d6b | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
f65c5344d8ef90ceb3aebeb285efa93ef50e23722fe6376ec7961ae3f5949700 | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
ff32a3a0cc81d24582be6ec675d038a12f106b9f2d5056282ff7a6767b2c796b | NEURON | 2,272 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
09bb93bd2f5fd5d06e7ee70f38a84c7c5ad0f3da0e7524863bef20832591ea65 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
18af3b01cc077df23e55826a2f3fe2f15672bc1a2bf26a3020fe0670f7709872 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
1ae0ab569524114a952a6799108aaa8076a3a3e69e33f76357c2d44b0c8ead6f | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
288cbf6a5314f323735156bcb5c653f2728411d83b3523f97b9eb7a86743b112 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
6a1288351210efb7e27b1256eee13f2685be8c503ad4694bae0ef9a047797240 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
73a5413c4879fc3b283f60a3945efbfe21f122408c6a5a2620e73c8da86728c2 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
776525c21982a72ede787f876ee466256dbe156466c7915bb962b3be240f8973 | NEURON | 2,273 | 83 | objref PC, PCvode
PC= new ParallelContext()
PC.nthread(256)
dt=.1
//PC.runworker()
RNGseed=31123
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample from
number_of_input=25 //each axon produce 75 inputs that are distributed... |
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