-
Notifications
You must be signed in to change notification settings - Fork 4
/
db.json
113 lines (113 loc) · 8.99 KB
/
db.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
{
"meta": {
"limit": 1000,
"next": null,
"offset": 0,
"previous": null,
"total_count": 101
},
"objects": [
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.brainscales as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"U_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"U_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"U_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"U_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "BrainScaleS",
"id": 123759,
"resource_uri": "/api/v2/results/123759",
"resource_usage": 1,
"status": "finished",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-09T08:39:22.313537+00:00",
"timestamp_submission": "2019-11-08T12:35:51+00:00",
"user_id": "me"
},
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.spiNNaker as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"F_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"F_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"F_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"F_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "SpiNNaker",
"id": 123754,
"resource_uri": "/api/v2/results/123754",
"resource_usage": 0,
"status": "error",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-08T09:54:13.794000+00:00",
"timestamp_submission": "2019-11-08T09:50:59+00:00",
"user_id": "me"
},
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.brainscales as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"4_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"4_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"4_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"4_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "BrainScaleS",
"id": 123753,
"resource_uri": "/api/v2/results/123753",
"resource_usage": 1,
"status": "finished",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-07T16:50:48.341682+00:00",
"timestamp_submission": "2019-11-07T15:50:33+00:00",
"user_id": "me"
},
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.spiNNaker as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"5_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"5_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"5_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"5_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "SpiNNaker",
"id": 123752,
"resource_uri": "/api/v2/results/123752",
"resource_usage": 0,
"status": "error",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-07T15:48:11.289000+00:00",
"timestamp_submission": "2019-11-07T15:44:48+00:00",
"user_id": "me"
},
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.spiNNaker as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"E_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"E_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"E_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"E_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "SpiNNaker",
"id": 123751,
"resource_uri": "/api/v2/results/123751",
"resource_usage": 0,
"status": "error",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-07T15:30:50.137000+00:00",
"timestamp_submission": "2019-11-07T15:27:32+00:00",
"user_id": "me"
},
{
"code": "\n# coding: utf-8\n#!python\n\nimport numpy\nimport pyNN.brainscales as sim\nfrom pyNN.random import RandomDistribution\n\nsim.setup()\n\npop_2 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_3 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\npop_4 = sim.Population(1, sim.IF_curr_alpha(v_rest=-65 , cm=1 , tau_m=20 , tau_refrac=0 , tau_syn_E=5 , tau_syn_I=5 , i_offset=0 , v_reset=-65 , v_thresh=-50 )\nsim.Projection(pop_2, pop_2, sim.AllToAllConnector(), sim.StaticSynapse())\npop_3.initialize(v=-65 , isyn_exc=3 , isyn_inh=0 , label=Pop3)\n\n\nsim.run(10)\n\nio_2 = NixIO(\"R_pop_2.nix\", \"ow\")\npop_2.write_data(\"io_2\")\nio_3 = NixIO(\"R_pop_3.nix\", \"ow\")\npop_3.write_data(\"io_3\")\nio_4 = NixIO(\"R_pop_4.nix\", \"ow\")\npop_4.write_data(\"io_4\")\nio_5 = NixIO(\"R_pop_5.nix\", \"ow\")\npop_5.write_data(\"io_5\")\n\n\nsim.end()\n",
"collab_id": "4293",
"command": "",
"comments": [],
"hardware_platform": "BrainScaleS",
"id": 123750,
"resource_uri": "/api/v2/results/123750",
"resource_usage": 1,
"status": "finished",
"tags": [
"gui"
],
"timestamp_completion": "2019-11-07T16:23:04.796763+00:00",
"timestamp_submission": "2019-11-07T15:22:49+00:00",
"user_id": "me"
}
]
}