From 1efafc67a2f4e4a31a1695e4f39716198eca5360 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kili=C3=A7=20Ilkan=20Fabrice?= Date: Thu, 11 Jan 2024 16:31:10 +0100 Subject: [PATCH] fix AHP plot timing in L5TTPC2.ipynb --- examples/nmc-portal/L5TTPC2.ipynb | 410 ++---------------------------- 1 file changed, 21 insertions(+), 389 deletions(-) diff --git a/examples/nmc-portal/L5TTPC2.ipynb b/examples/nmc-portal/L5TTPC2.ipynb index 8eb408d5..82d28b04 100644 --- a/examples/nmc-portal/L5TTPC2.ipynb +++ b/examples/nmc-portal/L5TTPC2.ipynb @@ -41,20 +41,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: efel in /Users/ikilic/workspace/.venv/lib/python3.11/site-packages (5.2.9)\n", - "Requirement already satisfied: numpy>=1.6 in /Users/ikilic/workspace/.venv/lib/python3.11/site-packages (from efel) (1.25.2)\n" - ] - } - ], + "outputs": [], "source": [ "!pip install efel\n", "import efel" @@ -70,21 +61,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " % Total % Received % Xferd Average Speed Time Time Time Current\n", - " Dload Upload Total Spent Left Speed\n", - "100 1865k 100 1865k 0 0 2493k 0 --:--:-- --:--:-- --:--:-- 2511k\n" - ] - } - ], + "outputs": [], "source": [ "!curl -o L5_TTPC2.zip https://bbp.epfl.ch/nmc-portal/assets/documents/static/downloads-zip/L5_TTPC2_cADpyr232_1.zip" ] @@ -99,67 +80,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Archive: L5_TTPC2.zip\n", - " extracting: L5_TTPC2_cADpyr232_1/mosinit.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/VERSION \n", - " creating: L5_TTPC2_cADpyr232_1/morphology/\n", - " extracting: L5_TTPC2_cADpyr232_1/morphology/dend-C060114A7_axon-C060116A3_-_Clone_2.asc \n", - " extracting: L5_TTPC2_cADpyr232_1/README \n", - " extracting: L5_TTPC2_cADpyr232_1/run_RmpRiTau_py.sh \n", - " extracting: L5_TTPC2_cADpyr232_1/init.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/morphology.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/current_amps.dat \n", - " extracting: L5_TTPC2_cADpyr232_1/LICENSE \n", - " creating: L5_TTPC2_cADpyr232_1/python_recordings/\n", - " extracting: L5_TTPC2_cADpyr232_1/python_recordings/.placeholder \n", - " creating: L5_TTPC2_cADpyr232_1/mechanisms/\n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/ProbGABAAB_EMS.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/SKv3_1.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/Ih.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/Ca_HVA.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/ProbAMPANMDA_EMS.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/Im.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/K_Tst.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/Ca_LVAst.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/NaTa_t.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/K_Pst.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/NaTs2_t.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/SK_E2.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/CaDynamics_E2.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/mechanisms/Nap_Et2.mod \n", - " extracting: L5_TTPC2_cADpyr232_1/CONTRIBUTORS.txt \n", - " creating: L5_TTPC2_cADpyr232_1/synapses/\n", - " extracting: L5_TTPC2_cADpyr232_1/synapses/synapses.tsv \n", - " extracting: L5_TTPC2_cADpyr232_1/synapses/synconf.txt \n", - " extracting: L5_TTPC2_cADpyr232_1/synapses/mtype_map.tsv \n", - " extracting: L5_TTPC2_cADpyr232_1/synapses/synapses.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/run.py \n", - " extracting: L5_TTPC2_cADpyr232_1/template.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/cellinfo.json \n", - " extracting: L5_TTPC2_cADpyr232_1/.provenance.json \n", - " extracting: L5_TTPC2_cADpyr232_1/biophysics.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/createsimulation.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/ringplot.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/CHANGELOG \n", - " extracting: L5_TTPC2_cADpyr232_1/constants.hoc \n", - " creating: L5_TTPC2_cADpyr232_1/hoc_recordings/\n", - " extracting: L5_TTPC2_cADpyr232_1/hoc_recordings/.placeholder \n", - " extracting: L5_TTPC2_cADpyr232_1/creategui.hoc \n", - " extracting: L5_TTPC2_cADpyr232_1/run_RmpRiTau.py \n", - " extracting: L5_TTPC2_cADpyr232_1/run_py.sh \n", - " extracting: L5_TTPC2_cADpyr232_1/run_hoc.sh \n" - ] - } - ], + "outputs": [], "source": [ "!unzip L5_TTPC2.zip" ] @@ -174,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -194,305 +119,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/usr/bin/xcrun\n", - "/Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1\n", - "Mod files: \"./mechanisms/./mechanisms/CaDynamics_E2.mod\" \"./mechanisms/./mechanisms/Ca_HVA.mod\" \"./mechanisms/./mechanisms/Ca_LVAst.mod\" \"./mechanisms/./mechanisms/Ih.mod\" \"./mechanisms/./mechanisms/Im.mod\" \"./mechanisms/./mechanisms/K_Pst.mod\" \"./mechanisms/./mechanisms/K_Tst.mod\" \"./mechanisms/./mechanisms/NaTa_t.mod\" \"./mechanisms/./mechanisms/NaTs2_t.mod\" \"./mechanisms/./mechanisms/Nap_Et2.mod\" \"./mechanisms/./mechanisms/ProbAMPANMDA_EMS.mod\" \"./mechanisms/./mechanisms/ProbGABAAB_EMS.mod\" \"./mechanisms/./mechanisms/SK_E2.mod\" \"./mechanisms/./mechanisms/SKv3_1.mod\"\n", - "\n", - "Creating 'arm64' directory for .o files.\n", - "\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/Ca_LVAst.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/Ca_HVA.mod\n", - " -> \u001b[32mCompiling\u001b[0m mod_func.cpp\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/CaDynamics_E2.mod\n", - "Translating CaDynamics_E2.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/CaDynamics_E2.c\n", - "Translating Ca_LVAst.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/Ca_LVAst.c\n", - "Translating Ca_HVA.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/Ca_HVA.c\n", - "Thread Safe\n", - "Thread Safe\n", - "Thread Safe\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/Ih.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/K_Pst.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/Im.mod\n", - "Translating K_Pst.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/K_Pst.c\n", - "Translating Ih.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/Ih.c\n", - "Thread Safe\n", - "Translating Im.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/Im.c\n", - "Thread Safe\n", - "Thread Safe\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/K_Tst.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/NaTa_t.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/NaTs2_t.mod\n", - "Translating K_Tst.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/K_Tst.c\n", - "Translating NaTa_t.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/NaTa_t.c\n", - "Thread Safe\n", - "Thread Safe\n", - "Translating NaTs2_t.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/NaTs2_t.c\n", - "Thread Safe\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/ProbAMPANMDA_EMS.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/Nap_Et2.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/ProbGABAAB_EMS.mod\n", - "Translating ProbAMPANMDA_EMS.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/ProbAMPANMDA_EMS.c\n", - "Translating Nap_Et2.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/Nap_Et2.c\n", - "Notice: This mechanism cannot be used with CVODE\n", - "Notice: A_AMPA discontinuity adjustment not available.\n", - "Notice: B_AMPA discontinuity adjustment not available.\n", - "Notice: A_NMDA discontinuity adjustment not available.\n", - "Notice: B_NMDA discontinuity adjustment not available.\n", - "Warning: dt undefined. (declared within VERBATIM?)\n", - "Warning: next_delay_weight undefined. (declared within VERBATIM?)\n", - "Warning: next_delay_t undefined. (declared within VERBATIM?)\n", - "Thread Safe\n", - "Thread Safe\n", - "Translating ProbGABAAB_EMS.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/ProbGABAAB_EMS.c\n", - "Notice: This mechanism cannot be used with CVODE\n", - "Notice: A_GABAA discontinuity adjustment not available.\n", - "Notice: B_GABAA discontinuity adjustment not available.\n", - "Notice: A_GABAB discontinuity adjustment not available.\n", - "Notice: B_GABAB discontinuity adjustment not available.\n", - "Warning: dt undefined. (declared within VERBATIM?)\n", - "Warning: next_delay_weight undefined. (declared within VERBATIM?)\n", - "Warning: next_delay_t undefined. (declared within VERBATIM?)\n", - "Thread Safe\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/SK_E2.mod\n", - " -> \u001b[32mNMODL\u001b[0m .././mechanisms/SKv3_1.mod\n", - " -> \u001b[32mCompiling\u001b[0m CaDynamics_E2.c\n", - "Translating SK_E2.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/SK_E2.c\n", - "Thread Safe\n", - "Translating SKv3_1.mod into /Users/ikilic/workspace/eFEL/examples/nmc-portal/L5_TTPC2_cADpyr232_1/arm64/SKv3_1.c\n", - "Thread Safe\n", - " -> \u001b[32mCompiling\u001b[0m Ca_HVA.c\n", - " -> \u001b[32mCompiling\u001b[0m Ca_LVAst.c\n", - "\u001b[1m\u001b[1mCa_HVA.cCaDynamics_E2.c::4342::1818: \u001b[0m\u001b[1mCa_LVAst.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1m:a function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype] \u001b[0m\u001b[0m\n", - "\u001b[0;1;35m extern double *getarg();\n", - "\u001b[0;1;32m ^\u001b[0;1;35m\n", - "warning: \u001b[0m\u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "warning: \u001b[0m\u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "\u001b[1mextern double* getarg(int);\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17:: \u001b[0m49\u001b[0;1;30m:note: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^:1649: :\u001b[0m\u001b[0;1;30m16note: \n", - ":\u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m \u001b[0m ^\n", - "\u001b[0m\u001b[0m\u001b[0;1;30m\u001b[1mnote: /Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h\u001b[0m:conflicting prototype is here15\u001b[0m:\n", - "17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0mextern double* getarg(int);\n", - "\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m#define getarg hoc_getarg\u001b[1m\n", - "/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h\u001b[0;1;32m: ^15\n", - ":\u001b[0m17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mCa_HVA.c:282:15: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1mequality comparison with extraneous parentheses [-Wparentheses-equality]\u001b[0m\n", - " if ( ( v == - 27.0 ) ) {\n", - "\u001b[0;1;32m ~~~^~~~~~~~~\n", - "\u001b[0m\u001b[1mCa_HVA.c:282:15: \u001b[0m\u001b[0;1;30mnote: \u001b[0mremove extraneous parentheses around the comparison to silence this warning\u001b[0m\n", - " if ( ( v == - 27.0 ) ) {\n", - "\u001b[0;1;32m ~~ ^ ~~\n", - "\u001b[0m\u001b[1mCa_HVA.c:282:15: \u001b[0m\u001b[0;1;30mnote: \u001b[0muse '=' to turn this equality comparison into an assignment\u001b[0m\n", - " if ( ( v == - 27.0 ) ) {\n", - "\u001b[0;1;32m ^~\n", - "\u001b[0m\u001b[0;32m =\n", - "\u001b[0m1 warning generated.\n", - "1 warning generated.\n", - "2 warnings generated.\n", - " -> \u001b[32mCompiling\u001b[0m Ih.c\n", - " -> \u001b[32mCompiling\u001b[0m Im.c\n", - " -> \u001b[32mCompiling\u001b[0m K_Tst.c\n", - " -> \u001b[32mCompiling\u001b[0m K_Pst.c\n", - "\u001b[1mIm.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mK_Pst.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[1mK_Tst.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - "\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0mextern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h\u001b[1m:/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h15::1517::17 :\u001b[0m \u001b[0;1;30m\u001b[0mnote: \u001b[0;1;30m\u001b[0mnote: expanded from macro 'getarg'\u001b[0m\u001b[0mexpanded from macro 'getarg'\n", - "\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mIh.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m1 warning generated.\n", - "1 warning generated.\n", - " -> \u001b[32mCompiling\u001b[0m NaTa_t.c\n", - "1 warning generated.\n", - " -> \u001b[32mCompiling\u001b[0m NaTs2_t.c\n", - "1 warning generated.\n", - " -> \u001b[32mCompiling\u001b[0m ProbAMPANMDA_EMS.c\n", - " -> \u001b[32mCompiling\u001b[0m Nap_Et2.c\n", - "\u001b[1mNaTa_t.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mNaTs2_t.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mNap_Et2.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mProbAMPANMDA_EMS.c:45:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mProbAMPANMDA_EMS.c:524:32: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " if (_tsav > t){ extern char* hoc_object_name(); hoc_execerror(hoc_object_name(_pnt->ob), \":Event arrived out of order. Must call ParallelContext.set_maxstep AFTER assigning minimum NetCon.delay\");}\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:46:14: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern char* hoc_object_name(Object*);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m1 warning generated.\n", - "1 warning generated.\n", - " -> \u001b[32mCompiling\u001b[0m ProbGABAAB_EMS.c\n", - " -> \u001b[32mCompiling\u001b[0m SK_E2.c\n", - "1 warning generated.\n", - " -> \u001b[32mCompiling\u001b[0m SKv3_1.c\n", - "\u001b[1mSK_E2.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mProbGABAAB_EMS.c:45:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1mProbGABAAB_EMS.c:516:32: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " if (_tsav > t){ extern char* hoc_object_name(); hoc_execerror(hoc_object_name(_pnt->ob), \":Event arrived out of order. Must call ParallelContext.set_maxstep AFTER assigning minimum NetCon.delay\");}\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:46:14: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern char* hoc_object_name(Object*);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m1 warning generated.\n", - "\u001b[1mSKv3_1.c:43:18: \u001b[0m\u001b[0;1;35mwarning: \u001b[0m\u001b[1ma function declaration without a prototype is deprecated in all versions of C and is treated as a zero-parameter prototype in C2x, conflicting with a previous declaration [-Wdeprecated-non-prototype]\u001b[0m\n", - " extern double *getarg();\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/oc_ansi.h:49:16: \u001b[0m\u001b[0;1;30mnote: \u001b[0mconflicting prototype is here\u001b[0m\n", - "extern double* getarg(int);\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m\u001b[1m/Users/ikilic/workspace/.venv/lib/python3.11/site-packages/neuron/.data/include/hocdec.h:15:17: \u001b[0m\u001b[0;1;30mnote: \u001b[0mexpanded from macro 'getarg'\u001b[0m\n", - "#define getarg hoc_getarg\n", - "\u001b[0;1;32m ^\n", - "\u001b[0m2 warnings generated.\n", - "1 warning generated.\n", - "2 warnings generated.\n", - " => \u001b[32mLINKING\u001b[0m shared library ./libnrnmech.dylib\n", - " => \u001b[32mLINKING\u001b[0m executable ./special LDFLAGS are: \n", - "ld: warning: ignoring duplicate libraries: '-lnrnmech'\n", - "Successfully created arm64/special\n" - ] - } - ], + "outputs": [], "source": [ "!nrnivmodl ./mechanisms" ] @@ -507,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -605,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -630,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -656,13 +287,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "feature_values = efel.getFeatureValues(traces, ['mean_frequency', 'adaptation_index2', 'ISI_CV', 'doublet_ISI', 'time_to_first_spike', 'AP_height', 'AHP_depth_abs', 'AHP_depth_abs_slow', 'AHP_slow_time', 'AP_width', 'peak_time'])" + "feature_values = efel.getFeatureValues(traces, ['mean_frequency', 'adaptation_index2', 'ISI_CV', 'doublet_ISI', 'time_to_first_spike', 'AP_height', 'AHP_depth_abs', 'AHP_depth_abs_slow', 'AHP_slow_time', 'AP_width', 'peak_time', 'AHP_time_from_peak'])" ] }, { @@ -677,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -713,14 +344,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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", 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", 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" ] @@ -754,12 +385,13 @@ " time = times[step_number]\n", " voltage = voltages[step_number]\n", " peak_times = feature_values[step_number]['peak_time']\n", + " ahp_time = feature_values[step_number]['AHP_time_from_peak']\n", " ap_heights = feature_values[step_number]['AP_height']\n", " AHP_depth_abss = feature_values[step_number]['AHP_depth_abs']\n", " \n", " pylab.plot(time,voltage)\n", " pylab.plot(peak_times, ap_heights, 'o')\n", - " pylab.plot(peak_times, AHP_depth_abss, 'o')\n", + " pylab.plot(peak_times+ahp_time, AHP_depth_abss, 'o')\n", " pylab.xlabel('Time (ms)')\n", " pylab.ylabel('Vm (mV)')\n", " pylab.show()"