sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
7d9936272346fe50e79f12a35f9d7f5f244c5775acc6a48cd7e1888997467b6f | 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... |
8c0982df336f6d92862d7d0541158f1f264ccba8103b2717fdab7139860ac698 | 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... |
8dedf77c6a83ba420d2ccde319081235ce780c8ff23fe203fde9ed4c13fa9cde | 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... |
9bc17b8bbc5e33673153b1510d3e80682f8b72962ecdec43d04ced177a17626f | 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... |
a011a9622bbe370fd82dc9229e2463e8e92e415f3e671d7a5a3b499a546321d2 | 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... |
a016387831af8b39fea52318858d7040c0eee02574daefa3b6a263f10e3dcbad | 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... |
a3531ff1738829c68134ba50b67aeb6cd5d658a402697f310202ced0b004c3ee | 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... |
a50443179b32209252e85d75183a06d1944d105264352403284536d5a210468f | 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... |
a6ec87c551f8f72ce7ae9ce4f49ffffa7215a0fcb86fceadde7bd66a8b701ab3 | 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... |
a845d0cb835047f358b7fc973eda1741916aaa8ec90d6c7e7ac6f14c6ec32af5 | 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... |
b4c0166d482e40722f877c412bab98a10f0b3a118c2786d3fde992e5e557b572 | 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... |
cd965ae879a0266eb9663720cdf81b533c2cf13e60001ab64993f184aa5e759e | 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... |
ce9133204e73cc5d67624684443a995beec27fca1ddd43a61af9409f4c38170d | 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... |
dec5c411974045eb9295a8620bceca15d295b1655192b57ab7d7c980c6e42d15 | 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... |
ede5657d10e2b8cc56b8de078eeedfbec5be33b566a5404a148988835f40eb78 | 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... |
bd4555ba0744a758b216d91cf550b6c891bf506fabb3bc70f43b219b069bf41d | NEURON | 2,294 | 75 | : Leaky-integrate and fire (LIF) neuron with protein pool
: based on the LIF mechanism written by Sebastian Schmitt (https://github.com/tetzlab/FIPPA/blob/main/STDP/mechanisms/lif.mod)
NEURON {
SUFFIX lif
RANGE R_reset, R_leak, V_reset, V_rev, V_th, I_0, pc_init, i_factor, t_ref
NONSPECIFIC_CURRENT i
USEION pc_ WR... |
7aa3ad3fac9ed961bf7d2e3f6d7960e4d6c60364709281294faa5123c2228c72 | NEURON | 2,355 | 101 | //for debugging
/*
objref PC, PCvode
PC= new ParallelContext()
PC.nthread(2048)
dt=.1
load_file("stdgui.hoc")
duration = 300
//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 fr... |
379800781c8a175c51f3384accb9fb31c4f130431621fde6b326870c6fff4eac | NEURON | 2,438 | 101 | //for debugging
/*
objref PC, PCvode
PC= new ParallelContext()
PC.nthread(2048)
dt=.1
load_file("stdgui.hoc")
duration = 300
//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 fr... |
e5def6dc3577573677923b2b2bf1311b21c764bf971c34a3285a6ff1abe32ce6 | NEURON | 2,462 | 91 | : Like 'expsyn_curr_early_late_plasticity', but for fast-forward computation with late-phase dynamics only
NEURON {
POINT_PROCESS expsyn_curr_early_late_plasticity_ff
RANGE h_0, theta_tag, h_init, z_init, area
NONSPECIFIC_CURRENT I
USEION pc_ READ pc_d : common pool of plasticity-related proteins
USEION sps_ WRIT... |
1196196250f3eba390df5855d5d71e12742be4f53fea6e441820ba7c5fba5588 | NEURON | 2,649 | 133 | TITLE na3
: Na current
: modified from Jeff Magee. M.Migliore may97
: added sh to account for higher threshold M.Migliore, Apr.2002
NEURON {
THREADSAFE
SUFFIX na3
USEION na READ ena WRITE ina
RANGE gbar, ar, sh
GLOBAL minf, hinf, mtau, htau, sinf, taus,qinf, thinf
}
PARAMETER {
sh = 24 (mV)
gbar = 0.010... |
ec88ba786c869a280d67588bd1b6a3ceb0ad117964cecbd93606488ca35f8960 | NEURON | 2,652 | 133 | TITLE na3
: Na current
: modified from Jeff Magee. M.Migliore may97
: added sh to account for higher threshold M.Migliore, Apr.2002
NEURON {
THREADSAFE
SUFFIX naRSIN
USEION na READ ena WRITE ina
RANGE gbar, ar, sh
GLOBAL minf, hinf, mtau, htau, sinf, taus,qinf, thinf
}
PARAMETER {
sh = 24 (mV)
gbar = 0.... |
28ae9572b32ffa4ee5f49ee38a8b8dc4c51ad86162756db5aa8f2d04532b77b7 | NEURON | 2,732 | 93 | : Calcium-based plasticity model
: Based on the work of Graupner and Brunel, PNAS 109 (10): 3991-3996 (2012)
: https://doi.org/10.1073/pnas.1109359109, https://www.pnas.org/doi/10.1073/pnas.1220044110
:
: Author: Sebastian Schmitt
:
: The synapse is modeled as synaptic efficacy variable, ρ, which is a function of the c... |
cf11b86cc1bd38db85beed844e52fa01a02fcf8e74de29ec3561760d05196aa8 | NEURON | 2,770 | 127 | NEURON {
SUFFIX hhplus
USEION na WRITE ina
USEION k WRITE ik
USEION cl READ ecl WRITE icl
NONSPECIFIC_CURRENT ipump
RANGE ena, ek, kbath, gcl
}
STATE { n dki dkg nai nao ki ko }
CONSTANT {
: Nernst scaling factor = R T / q F at T = 37 Celsius and q = 1
C = 26.64 (mV)
: Area factor, computed in main... |
925f4dad114b112f3ad968a8d4287bcc42646935f31455d88803510bb30d74f7 | NEURON | 2,931 | 90 | : Synapse similar to 'expsyn_curr_early_late_plasticity',
: but for fast-forward computation
: with late-phase dynamics only
NEURON {
POINT_PROCESS expsyn_curr_early_late_plasticity_ff
RANGE pc, h_0, theta_tag, h_init, z_init, area
NONSPECIFIC_CURRENT I
USEION pc_ READ pc_d : common pool of plasticity-related pro... |
7cb900f256dc65f37196cb3cb8b8e948e9cbb7ed8a1737471e800794488c3846 | NEURON | 3,010 | 95 | : Leaky-integrate and fire (LIF) neuron with protein pool
: based on the LIF mechanism written by Sebastian Schmitt (https://github.com/tetzlab/FIPPA/blob/main/STDP/mechanisms/lif.mod)
NEURON {
SUFFIX lif
RANGE R_reset, R_leak, V_reset, V_rev, V_th, I_0, pc_init, i_factor, t_ref, theta_pro, p_max
NONSPECIFIC_CURREN... |
2dac3806e13a0b7c1ed8ae8f941373c11ff4c97995d0bccf91024409b525e6a7 | NEURON | 3,050 | 140 | NEURON {
SUFFIX hhplustoggle
USEION na WRITE ina
USEION k WRITE ik
USEION cl READ ecl WRITE icl
NONSPECIFIC_CURRENT ipump
RANGE ena, ek, kbath, gcl, kbath0, kbath1, t_toggle, gk, gkleak, gna, gnaleak, rho
}
STATE { n dki dkg nai nao ki ko t }
CONSTANT {
: Nernst scaling factor = R T / q F at T = 37 Cel... |
af2010d86898ecf633b161acfb447caabe412878c0bf75e39863dc4543b9a55c | NEURON | 3,153 | 133 | //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... |
aebc77955bdfd3bf59f610570144475e1b369f2d987de74b9f0e0652c33219c4 | NEURON | 3,266 | 136 | //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... |
03053298d354fb34adcb10fdcef90e03216afbd5d044d7745995a5dc36f5d5fb | NEURON | 3,312 | 143 | : $Id: netstim.mod,v 1.1.1.1 2001/01/01 20:30:37 hines Exp $
: modified in such a way that the first event will be, on average, at start+interval
: M.Migliore Dec.2001
NEURON {
THREADSAFE
POINT_PROCESS NetStimm
RANGE y
RANGE interval, number, start
RANGE noise
}
PARAMETER {
interval = 10 (ms) ... |
be6576252ba6ca9dc5edc928f9c2dc77934312802500ddcf8c3bbd63f9c1c6b5 | NEURON | 3,389 | 93 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
6c47cb564f77dd64eefbdbf2f7bdacfb1cc9e814f34ce478bc11ef7bee7ee3ef | NEURON | 3,442 | 135 | //for debugging
/*
objref PC, PCvode
PC= new ParallelContext()
PC.nthread(2048)
dt=.1
load_file("stdgui.hoc")
duration = 300
//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 fr... |
06e73fa3b1c62daf1406d8831bc73f0fa4e402ea14e5414fe88b7f8b1c7bdc05 | NEURON | 3,600 | 137 | //for debugging
/*
objref PC, PCvode
PC= new ParallelContext()
PC.nthread(2048)
dt=.1
load_file("stdgui.hoc")
duration = 300
//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 fr... |
11d36344927c576f45ae60fda15a5d087906559963c0ea13f1ad8ecca5c4c53f | NEURON | 3,873 | 171 | TITLE Mouse sodium current
: Kinetics of Carter et al. (2012)
: Based on 37 degC recordings from mouse hippocampal CA1 pyramids
NEURON {
SUFFIX NaV
USEION na READ ena WRITE ina
RANGE gbar, qt
}
ASSIGNED { qt }
UNITS {
(mV) = (millivolt)
(S) = (siemens)
}
PARAMETER {
celsius (degC)
v ... |
dd1079aa84b18d19013738d9f1d28352c7f94f7769cd0ee9fabf62351fb71b0e | NEURON | 4,012 | 105 | /*
RNGseed=4321
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=20 //each axon produce 20 inputs that are distributed in time
Activeaxon_number=250 //total number of active axons
*/
duration... |
b50d1021f8d1dea9fe07c7aef9a9d5fdafe1442600a8172e23e443b569c5988e | NEURON | 4,068 | 129 | : Current-based synapse with exponential postsynatic potential; featuring
: early-phase plasticity (transient) based on the postsynaptic calcium amount, and
: late-phase plasticity (permanent/line attractor) with synaptic tagging and capture
NEURON {
POINT_PROCESS expsyn_curr_early_late_plasticity
RANGE h_0, tau_syn... |
bb767cbc7f3ddc2cf112c1be5d74244959ba6dadf85906c49109423ee62b9c21 | NEURON | 4,152 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
611af3fa64141d851e686920ce95e9a87574ec823223d8178574669204dd96ac | NEURON | 4,155 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
3ebe96fb8c03a73a3bf6fb8d46e16b10a6bf81ec871979a04e9758aa2ce6695d | NEURON | 4,156 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
ad50ade0910f434a1f24cd8b109930fbfcc6b26e84957a7ca2ba6b12acf09d0a | NEURON | 4,156 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
dcd790e7847435b44a991a17d79d9dd4a928ae764e43a0c63856aeb8b992f26d | NEURON | 4,158 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
78a3c628b585c946db82bbf422ca3176762dd7cf3148ca04331e35b4b9777494 | NEURON | 4,159 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
8b24b4073418696c12dc0259aa5ee29b9866d1e340176914a5c52785df1658c1 | NEURON | 4,164 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
65c97c24851e0d27479d064fc2cd70871f6a945b82220f23b514974ea898362b | NEURON | 4,165 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
f86ce1e917c7ad4263861983b5364a260bbc990a500e0a62d34b81ae1d6cc720 | NEURON | 4,167 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
28da01ada50cef29d3f96c6748b3f4d24ea0c3c2d366b1d100a63aab32058bf2 | NEURON | 4,178 | 115 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
3803ecdfffad326bf0542296320d035c72a639fa489cc52255aea84e0f85b8fe | NEURON | 4,183 | 118 | /*
//
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS'' ... |
3fe6be4cb8c1dae0b17721e5a9649fa0cded4918f3481fbfda4fcba3b7daad5f | NEURON | 4,250 | 159 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
5003219c5d5b147852523523cd022465dab1e7fc0c86408bb9b0bc5bbebb4bdf | NEURON | 4,250 | 159 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
945cbbc494815017e2aad4e7eaf06cf8acd8bd8b3d605e6a23b7d78808b1a17e | NEURON | 4,379 | 117 | //register APs in each GC
objref BCAP[BC_number], BCAP_time[BC_number]
objref GCAPrecord[GC_number]
objref GCAP_time[GC_number] //record the time of individual APs in each GC
proc RegisterAP(){ local a
for a=0, GC_number-1 {access GC[a].soma
GCAPrecord[a]=new APCount(0.5)
GCAPrecord[a].thresh... |
2a8abb22f4ae4c8be0206a37a443421051a5fa54b344bdf6aa19cdad9501280b | NEURON | 4,608 | 130 | : Current-based synapse with exponential postsynatic potential; featuring
: early-phase plasticity (transient) based on the postsynaptic calcium amount, and
: late-phase plasticity (permanent/line attractor) with synaptic tagging and capture
NEURON {
POINT_PROCESS expsyn_curr_early_late_plasticity
RANGE pc, h_0, tau... |
f61c452678a28feebfa1b6dae70cee3e01b7b9923be47efff119efd2a3e900ae | NEURON | 5,160 | 141 |
/*
//need to be removed before integration to other packages
//*****************************************************************************************************************************************************************
scale_factor=0.1
RNGseed=3456
number_of_axon=2500 //2500 axons, producing a connection probabi... |
983769a439c4f87cb937d27d0e0efdc6d2ae8f8fcb62e3d82acef2d65f812338 | NEURON | 5,279 | 106 |
objref exist_input, new_input, used_input, input_buffer, rng999
rng999=new Random(RNGseed*5)
proc change_input() {local same_input, b1, count1, b2, b3, tag
//localobj exist_input, new_input, used_input, input_buffer
//same_input = $1
//the number of inp... |
64d0c18550ee34c86a63b1ad58fcbb45707cb95c9356d62d593e2d59eb8568e5 | NEURON | 5,582 | 146 | correlation=0
euclidean=0
Dcosine = 0
proc make_rank() {local a100, b100, count, count1, total, c100, d100, e100
if ($o1.size!=$o2.size) {print "wrong"}
for a100=0, $o1.size-1{count=0
count1=0
for b100=0, $o1.size-1 {if ($o1.x[a100]>=$o1.x[b100]) {count=count+1}}
... |
94473ce1816f8b58746cf2a1dae26ab833c1252fb8074540bb9a5216d258e772 | NEURON | 5,711 | 187 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
88c72cad6f82f3ed232ba1ccfba05b095dc87e4d85da000fc3827414268ec3d9 | NEURON | 5,715 | 187 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
2331d06f40671e62e2627fa7514dd8e8d95013bcf42a3ea4cf6419179a0cf3f5 | NEURON | 5,970 | 193 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
f2ec86384101c1fdb41b75e853364a0adaf00d5fa6874c3e83c57b2944c9515b | NEURON | 5,980 | 193 |
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJ... |
f57c15fc9ffdd94bb09c9117db90aec546cc619bf433671e1615915c58d8a810 | NEURON | 6,089 | 158 | /*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE BLUE BRAIN PROJEC... |
7b2db62acafcd068e5f2ee8c189f6c84da752b478d1bcbb7e0df2b60993e984b | NEURON | 6,682 | 155 | /*
//need to be removed before integration to other packages
//*****************************************************************************************************************************************************************
RNGseed=345
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfm... |
de8f0c0afba59462f94c8fa2d894f1f0fd91b616a667b98cc48c8474dea427a4 | NEURON | 7,000 | 314 | celsius = 37
/*
GC_e_weight=0
BC_e_weight=0
time_CV= 0.3 //coefficient of variation of input timing in a normal distribution
n_synapse=100
ISI = 1 //mean interval between inputs during Poisson train
objref rec_Ex[n_synapse], rec_in, rec_Ex_sum
*/
//build GC
Ek_principalneuron = -90
gna_principa... |
c93720edb5962e9da65b943d7c66d48def15b40e8a97d5e23863d3c0663acbd4 | NEURON | 7,335 | 172 |
GC_number = number_of_axon * 5
objref GC_Esyn_matrix[GC_number] //the connection pattern from afferent axons to each GC
//Establish the connection pattern of each GC
//Randomly select (#input_sample_size) axons for each GC. The specific number of selected axons are stored in the vector (GC_Esyn_matrix[GC_i... |
207c856b549607bcd151c8a1cb9785d06f2debc0c2669b41040f02f9f29f21cd | NEURON | 7,424 | 190 | /*
RNGseed=4321
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 20 inputs that are distributed in time
Activeaxon_number=250 //total number of active axons
*/
duration... |
876627171458c90e2686ebaaa3f38f1e64ca6e9dff3b750b15e00a616b9c68a3 | NEURON | 8,062 | 354 | /*
Created by BluePyOpt(1.13.3) at 2022-11-22 13:15:54.414981
*/
{load_file("stdrun.hoc")}
{load_file("import3d.hoc")}
/*
* Check that global parameters are the same as with the optimization
*/
proc check_parameter(/* name, expected_value, value */){
strdef error
if($2 != $3){
sprint(error, "Parameter %s has ... |
269fcc09c0f3db1282d8d9eb829eea13c254ac74ee690ffea229aae2a916e497 | NEURON | 10,691 | 448 | /*
Created by BluePyOpt(1.9.111) at 2021-03-24 17:24:59.394171
*/
{load_file("stdrun.hoc")}
{load_file("import3d.hoc")}
/*
* Check that global parameters are the same as with the optimization
*/
proc check_parameter(/* name, expected_value, value */){
strdef error
if($2 != $3){
sprint(error, "Parameter %s has... |
02cd37ef61b6b6c63948f29e5611b66788d5bc2ff507bbef94e9772d4577707e | NEURON | 10,981 | 454 | /*
Created by BluePyOpt(1.9.111) at 2021-03-24 17:25:04.048422
*/
{load_file("stdrun.hoc")}
{load_file("import3d.hoc")}
/*
* Check that global parameters are the same as with the optimization
*/
proc check_parameter(/* name, expected_value, value */){
strdef error
if($2 != $3){
sprint(error, "Parameter %s has... |
a6ea8d5bbdb33bb8bbaa8b6a786fec35ca52df6e899df1d80773d127b002f2a6 | NEURON | 11,137 | 268 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
4f9235fe3fd5f74bc8fbc673ca164670dd482c41bc498e36e0386b15b9014800 | NEURON | 11,203 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
9a2d197560555ecd51e6b2d3fd0905cfc25f3c3efa8218cae10cf59767c2b417 | NEURON | 11,203 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
cc120fdc31ffc2bafaabddaf04079b8f7e2ad9119d896dbc0844f706466d9596 | NEURON | 11,203 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
7213d0285ba477a4215f162fb7ed91638a2a65734518ef1301399315c9c03c87 | NEURON | 11,209 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
e098a69b33cd28134615fa27b71dbf932bb6a7708e73a97d2c5f202a357c418e | NEURON | 11,209 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
14058dfc57956ae2cd36cc744352d70dd5b9308c00a6f1a59233ee03043488b7 | NEURON | 11,211 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
f7ff7607213e5e4c0c23321e6a7347113a6bfda50151fcefc32e7d07bc5a8bb9 | NEURON | 11,211 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
e7522abbb1417c7db35195b366e8ba94add8eb24b9c8e9e82c1727a30eeda297 | NEURON | 11,215 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
bf8d2193942c0957ec5d4988dffd8d0010c760c112744363eafca08730bc44c8 | NEURON | 11,217 | 259 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
2b88729456b4c62b2306c1d36c9f9cadc8afe4b259637526ad5936960d17a367 | NEURON | 11,265 | 261 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
f23f3eb6e926f1d19b99e1fd09188df85110b2825856370e54bad7da1e66dc18 | NEURON | 11,395 | 453 | /*
Created by BluePyOpt(1.6.42) at 2019-11-05 10:14:04.306387
*/
{load_file("stdrun.hoc")}
{load_file("import3d.hoc")}
/*
* Check that global parameters are the same as with the optimization
*/
proc check_parameter(/* name, expected_value, value */){
strdef error
if($2 != $3){
sprint(error, "Parameter %s has ... |
5cca4b1fa53e47935385583bcbf320f2ec465c3f0e978163d8299e736adcffc4 | NEURON | 11,703 | 464 | /*
Created by BluePyOpt(1.6.42) at 2019-11-05 10:14:04.306656
*/
{load_file("stdrun.hoc")}
{load_file("import3d.hoc")}
/*
* Check that global parameters are the same as with the optimization
*/
proc check_parameter(/* name, expected_value, value */){
strdef error
if($2 != $3){
sprint(error, "Parameter %s has ... |
8092d67e58c96a29cc1f75265ab4bdbf0cff8b419f60129b787fe4ebf3f61981 | NEURON | 12,754 | 344 | COMMENT
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE... |
67697410fe479fcdb3dbd1ce36b220c279bcc708fbdad62d99179e4d6adb7509 | NEURON | 12,847 | 345 | COMMENT
/*
Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE... |
57496ecd5fc92a78894ad5549f3cd25d0bf5f6fe1e6171841cdbe2d4a41d0702 | NEURON | 13,519 | 402 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
152dfb9f125a4f39067975a18d0d566c78cd91a53c2b719a8600932fd07dfd3a | NEURON | 13,527 | 402 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample f... |
a8412cd3c86233c736b238f74e20ffcc007146f7c2edf3ace0b6c823f3c95669 | NEURON | 13,528 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
dc05d71c5feb0ea7fb51c46d9764962282f44e9413f852029c4788845199de0f | NEURON | 13,528 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
7366fdba72fadd4cb7adf26293405966901aed0f2a88d9751352e5d04fefe2d2 | NEURON | 13,529 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
28df740c3ba0f8e2c701815053cba49ad20612b80e6c1891f1ff5d6a8bb24c0c | NEURON | 13,535 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
a12b575f4a0c6fb6915f744d1b191875edadaf15875d93f8c2b49c991dc22cce | NEURON | 13,535 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
44587538e8b4ed6ef860a0a8fc2e30905f4195dca29be0e9771940fc9751ab9f | NEURON | 13,536 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
4ea757d39337a968b0b08c280d13256a0b3bdf128456c86af298627b750ab1ec | NEURON | 13,537 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
ec39746a2df9867162ecb9971f148db8a80f60bb94ed9ee8695b8e363e1f45f2 | NEURON | 13,544 | 403 | objref PC
PC= new ParallelContext()
PC.nthread(64)
dt=.1
//PC.runworker()
scale_factor=0.1
RNGseed=452 //the RNG seed was changed to create random initiation conditions
number_of_axon=2500 //2500 axons, producing a connection probability of 2% (Scharfman, 2009)
input_sample_size = 50 //how many axons each GC sample fr... |
ee4790fed4cda7daeb7d57c592fcb55710ab7ec963161605ab85deae5863531d | NEURON | 14,412 | 539 | TITLE skm95.mod
COMMENT
----------------------------------------------------------------
Stochastic version of the K channel mechanism kd3h5.mod by
Z. Mainen in Mainen & Sejnowski 95.
This represents a potassium channel, with Hodgkin-Huxley like kinetics,
based on the gates model, assuming stochastic opening and c... |
84164c55501286935b52172220b535a04655093a1287080638c55196f72bc304 | NEURON | 15,713 | 377 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
b76d882504e487a83e962205eaca6c172d7b092a2f81a2501268276013c51ce2 | NEURON | 15,793 | 366 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULA... |
3669a75a4f4cd3b20e83c32bc5b2fba7e7b7866be455ff0b1bd031e32bb19954 | NEURON | 15,837 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
2d701ca8f3288dc27572f95529dafff87051a743c1923c3ff0d76bf7beaf310b | NEURON | 15,838 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
42139a85aab9fcd779bd65f198677cd9a28b9c41193fa7e9826901a374d66ab7 | NEURON | 15,838 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
9ed2ba9335f61393710d75a7c0179784c2e5bc32bc3a89e2ca12c8fe19d82dd4 | NEURON | 15,838 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
054aab813d8ebc0a5669a9c94e083ed2e7051916acebbf626e280253338daac8 | NEURON | 15,839 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
13051efec657e88aadcda75f902fcf4e89dcc3340c860322ad0835858d15936e | NEURON | 15,839 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
8a714fba79935345825e9220287de68b411d7029855396e76d4422ebc8b3c65d | NEURON | 15,839 | 364 | /* Copyright (c) 2015 EPFL-BBP, All rights reserved.
THIS SOFTWARE IS PROVIDED BY THE BLUE BRAIN PROJECT ``AS IS''
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ... |
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