\n",
" \n",
"\n",
@@ -2239,10 +1770,10 @@
"1 2.000000 2.5\n",
"2 2.000000 2.5\n",
"3 2.000000 2.5\n",
- "4 0.879433 100.0"
+ "4 0.079569 10.0"
]
},
- "execution_count": 80,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -2258,7 +1789,7 @@
},
{
"cell_type": "markdown",
- "id": "3eae86ce",
+ "id": "90151ce8",
"metadata": {},
"source": [
"## Channels"
@@ -2266,7 +1797,7 @@
},
{
"cell_type": "markdown",
- "id": "517f8f8f",
+ "id": "44a31d9f",
"metadata": {},
"source": [
"The `Module`s that we have created above will not do anything interesting, since by default Jaxley initializes them without any mechanisms in the membrane. To change this, we have to insert channels into the membrane. For this purpose `Jaxley` implements `Channel`s that can be inserted into any compartment using the `insert` method of a `Module` or a `View`:"
@@ -2274,8 +1805,8 @@
},
{
"cell_type": "code",
- "execution_count": 54,
- "id": "1a7f2555",
+ "execution_count": 18,
+ "id": "0d26c451",
"metadata": {},
"outputs": [
{
@@ -2307,13 +1838,13 @@
"
axial_resistivity
\n",
"
capacitance
\n",
"
v
\n",
- "
x
\n",
- "
y
\n",
- "
z
\n",
"
global_cell_index
\n",
"
global_branch_index
\n",
"
global_comp_index
\n",
"
controlled_by_param
\n",
+ "
x
\n",
+ "
y
\n",
+ "
z
\n",
"
Leak
\n",
"
Leak_gLeak
\n",
"
Leak_eLeak
\n",
@@ -2325,18 +1856,18 @@
"
0
\n",
"
0
\n",
"
0
\n",
- "
100.0
\n",
- "
0.924252
\n",
+ "
2.5
\n",
+ "
2.000000
\n",
"
5000.0
\n",
"
1.0
\n",
"
-70.0
\n",
- "
5.000000
\n",
- "
30.000000
\n",
- "
0.0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
"
0
\n",
+ "
5.000000
\n",
+ "
30.000000
\n",
+ "
0.0
\n",
"
True
\n",
"
0.0001
\n",
"
-70.0
\n",
@@ -2346,18 +1877,18 @@
"
0
\n",
"
0
\n",
"
1
\n",
- "
100.0
\n",
- "
0.566347
\n",
+ "
2.5
\n",
+ "
2.000000
\n",
"
5000.0
\n",
"
1.0
\n",
"
-70.0
\n",
- "
15.000000
\n",
- "
30.000000
\n",
- "
0.0
\n",
"
0
\n",
"
0
\n",
"
1
\n",
"
0
\n",
+ "
15.000000
\n",
+ "
30.000000
\n",
+ "
0.0
\n",
"
True
\n",
"
0.0001
\n",
"
-70.0
\n",
@@ -2367,18 +1898,18 @@
"
0
\n",
"
0
\n",
"
2
\n",
- "
10.0
\n",
- "
0.208471
\n",
+ "
2.5
\n",
+ "
2.000000
\n",
"
5000.0
\n",
"
1.0
\n",
"
-70.0
\n",
- "
25.000000
\n",
- "
30.000000
\n",
- "
0.0
\n",
"
0
\n",
"
0
\n",
"
2
\n",
"
0
\n",
+ "
25.000000
\n",
+ "
30.000000
\n",
+ "
0.0
\n",
"
True
\n",
"
0.0001
\n",
"
-70.0
\n",
@@ -2388,18 +1919,18 @@
"
0
\n",
"
0
\n",
"
3
\n",
- "
100.0
\n",
- "
0.596002
\n",
+ "
2.5
\n",
+ "
2.000000
\n",
"
5000.0
\n",
"
1.0
\n",
"
-70.0
\n",
- "
35.000000
\n",
- "
30.000000
\n",
- "
0.0
\n",
"
0
\n",
"
0
\n",
"
3
\n",
"
0
\n",
+ "
35.000000
\n",
+ "
30.000000
\n",
+ "
0.0
\n",
"
True
\n",
"
0.0001
\n",
"
-70.0
\n",
@@ -2410,17 +1941,17 @@
"
1
\n",
"
0
\n",
"
10.0
\n",
- "
0.027419
\n",
+ "
0.079569
\n",
"
5000.0
\n",
"
1.0
\n",
"
-70.0
\n",
- "
44.850713
\n",
- "
28.787322
\n",
- "
0.0
\n",
"
0
\n",
"
1
\n",
"
4
\n",
"
0
\n",
+ "
44.850713
\n",
+ "
28.787322
\n",
+ "
0.0
\n",
"
True
\n",
"
0.0001
\n",
"
-70.0
\n",
@@ -2431,35 +1962,35 @@
],
"text/plain": [
" local_cell_index local_branch_index local_comp_index length radius \\\n",
- "0 0 0 0 100.0 0.924252 \n",
- "1 0 0 1 100.0 0.566347 \n",
- "2 0 0 2 10.0 0.208471 \n",
- "3 0 0 3 100.0 0.596002 \n",
- "4 0 1 0 10.0 0.027419 \n",
+ "0 0 0 0 2.5 2.000000 \n",
+ "1 0 0 1 2.5 2.000000 \n",
+ "2 0 0 2 2.5 2.000000 \n",
+ "3 0 0 3 2.5 2.000000 \n",
+ "4 0 1 0 10.0 0.079569 \n",
"\n",
- " axial_resistivity capacitance v x y z \\\n",
- "0 5000.0 1.0 -70.0 5.000000 30.000000 0.0 \n",
- "1 5000.0 1.0 -70.0 15.000000 30.000000 0.0 \n",
- "2 5000.0 1.0 -70.0 25.000000 30.000000 0.0 \n",
- "3 5000.0 1.0 -70.0 35.000000 30.000000 0.0 \n",
- "4 5000.0 1.0 -70.0 44.850713 28.787322 0.0 \n",
+ " axial_resistivity capacitance v global_cell_index \\\n",
+ "0 5000.0 1.0 -70.0 0 \n",
+ "1 5000.0 1.0 -70.0 0 \n",
+ "2 5000.0 1.0 -70.0 0 \n",
+ "3 5000.0 1.0 -70.0 0 \n",
+ "4 5000.0 1.0 -70.0 0 \n",
"\n",
- " global_cell_index global_branch_index global_comp_index \\\n",
- "0 0 0 0 \n",
- "1 0 0 1 \n",
- "2 0 0 2 \n",
- "3 0 0 3 \n",
- "4 0 1 4 \n",
+ " global_branch_index global_comp_index controlled_by_param x \\\n",
+ "0 0 0 0 5.000000 \n",
+ "1 0 1 0 15.000000 \n",
+ "2 0 2 0 25.000000 \n",
+ "3 0 3 0 35.000000 \n",
+ "4 1 4 0 44.850713 \n",
"\n",
- " controlled_by_param Leak Leak_gLeak Leak_eLeak \n",
- "0 0 True 0.0001 -70.0 \n",
- "1 0 True 0.0001 -70.0 \n",
- "2 0 True 0.0001 -70.0 \n",
- "3 0 True 0.0001 -70.0 \n",
- "4 0 True 0.0001 -70.0 "
+ " y z Leak Leak_gLeak Leak_eLeak \n",
+ "0 30.000000 0.0 True 0.0001 -70.0 \n",
+ "1 30.000000 0.0 True 0.0001 -70.0 \n",
+ "2 30.000000 0.0 True 0.0001 -70.0 \n",
+ "3 30.000000 0.0 True 0.0001 -70.0 \n",
+ "4 28.787322 0.0 True 0.0001 -70.0 "
]
},
- "execution_count": 54,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
@@ -2472,7 +2003,7 @@
},
{
"cell_type": "markdown",
- "id": "9475c217",
+ "id": "ab5acd51",
"metadata": {},
"source": [
"This is also were `View`s come in handy, as it allows to easily target the insertion of channels to specific compartments."
@@ -2480,8 +2011,8 @@
},
{
"cell_type": "code",
- "execution_count": 77,
- "id": "4cacf613",
+ "execution_count": 19,
+ "id": "e2a1b17f",
"metadata": {},
"outputs": [
{
@@ -2536,7 +2067,7 @@
"12 1 False False True"
]
},
- "execution_count": 77,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
@@ -2557,7 +2088,7 @@
},
{
"cell_type": "markdown",
- "id": "40eda5e9",
+ "id": "24ec120a",
"metadata": {},
"source": [
"## Synapses"
@@ -2565,7 +2096,7 @@
},
{
"cell_type": "markdown",
- "id": "cf7ab81e",
+ "id": "d947ba43",
"metadata": {},
"source": [
"To connect different cells together, Jaxley implements a `connect` method, that can be used to couple 2 compartments together using a `Synapse`. Synapses in Jaxley work only on the compartment level, that means to be able to connect two cells, you need to specify the exact compartments on a given cell to make the connections between. Below is an example of this:"
@@ -2573,8 +2104,8 @@
},
{
"cell_type": "code",
- "execution_count": 78,
- "id": "bc3e4c02",
+ "execution_count": 20,
+ "id": "a1eed847",
"metadata": {},
"outputs": [
{
@@ -2646,7 +2177,7 @@
"0 0 "
]
},
- "execution_count": 78,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
@@ -2663,7 +2194,7 @@
},
{
"cell_type": "markdown",
- "id": "e0108618",
+ "id": "1c603a54",
"metadata": {},
"source": [
"As you can see above, now the `edges` dataframe is also updated with the information of the newly added synapse. "
@@ -2671,7 +2202,7 @@
},
{
"cell_type": "markdown",
- "id": "9772e192",
+ "id": "749de44c",
"metadata": {},
"source": [
"Congrats! You should now have an intuitive understand of how to use Jaxley's API to construct, navigate and manipulate neuron models."
diff --git a/docs/tutorials/01_morph_neurons.ipynb b/docs/tutorials/01_morph_neurons.ipynb
index c7f7bfe5..e029e767 100644
--- a/docs/tutorials/01_morph_neurons.ipynb
+++ b/docs/tutorials/01_morph_neurons.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "9657a992",
+ "id": "9f7be2a4",
"metadata": {},
"source": [
"# Basics of Jaxley"
@@ -10,7 +10,7 @@
},
{
"cell_type": "markdown",
- "id": "d7bceb7e",
+ "id": "2db89a9f",
"metadata": {},
"source": [
"In this tutorial, you will learn how to:\n",
@@ -30,7 +30,7 @@
"\n",
"# Build the cell.\n",
"comp = jx.Compartment()\n",
- "branch = jx.Branch(comp, nseg=2)\n",
+ "branch = jx.Branch(comp, ncomp=2)\n",
"cell = jx.Cell(branch, parents=[-1, 0, 0, 1, 1])\n",
"\n",
"# Insert channels.\n",
@@ -61,7 +61,7 @@
},
{
"cell_type": "markdown",
- "id": "bfc8a92d",
+ "id": "6c8a0eb9",
"metadata": {},
"source": [
"First, we import the relevant libraries:"
@@ -70,7 +70,7 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "355ccba4",
+ "id": "f8cb454b",
"metadata": {},
"outputs": [],
"source": [
@@ -91,7 +91,7 @@
},
{
"cell_type": "markdown",
- "id": "13e0565f",
+ "id": "d717ef05",
"metadata": {},
"source": [
"We will now build our first cell in `Jaxley`. You have two options to do this: you can either build a cell bottom-up by defining the morphology yourselve, or you can [load cells from SWC files](https://jaxley.readthedocs.io/en/latest/tutorials/08_importing_morphologies.html).\n"
@@ -99,7 +99,7 @@
},
{
"cell_type": "markdown",
- "id": "a4b5077e",
+ "id": "3883d5aa",
"metadata": {},
"source": [
"### Define the cell from scratch\n",
@@ -109,18 +109,18 @@
},
{
"cell_type": "code",
- "execution_count": 2,
- "id": "48a5b24a",
+ "execution_count": 6,
+ "id": "1eba83a8",
"metadata": {},
"outputs": [],
"source": [
"comp = jx.Compartment()\n",
- "branch = jx.Branch(comp, nseg=2)"
+ "branch = jx.Branch(comp, ncomp=2)"
]
},
{
"cell_type": "markdown",
- "id": "1a491c98",
+ "id": "acfbf1ab",
"metadata": {},
"source": [
"Next, we can assemble branches into a cell. To do so, we have to define for each branch what its parent branch is. A `-1` entry means that this branch does not have a parent."
@@ -128,8 +128,8 @@
},
{
"cell_type": "code",
- "execution_count": 3,
- "id": "8a079a56",
+ "execution_count": 7,
+ "id": "4c26d47d",
"metadata": {},
"outputs": [],
"source": [
@@ -139,7 +139,7 @@
},
{
"cell_type": "markdown",
- "id": "1f0a3bc4",
+ "id": "efc170cc",
"metadata": {},
"source": [
"To learn more about `Compartment`s, `Branch`es, and `Cell`s, see [this tutorial](https://jaxley.readthedocs.io/en/latest/tutorials/00_jaxley_api.html)."
@@ -147,21 +147,21 @@
},
{
"cell_type": "markdown",
- "id": "34f29844",
+ "id": "60d62a97",
"metadata": {},
"source": [
"### Read the cell from an SWC file\n",
"\n",
"Alternatively, you could also load cells from SWC with \n",
"\n",
- "```cell = jx.read_swc(fname, nseg=4)```\n",
+ "```cell = jx.read_swc(fname, ncomp=4)```\n",
"\n",
"Details on handling SWC files can be found in [this tutorial](https://jaxley.readthedocs.io/en/latest/tutorials/08_importing_morphologies.html)."
]
},
{
"cell_type": "markdown",
- "id": "5773c5d7",
+ "id": "c8afc7cf",
"metadata": {},
"source": [
"### Visualize the cells"
@@ -169,7 +169,7 @@
},
{
"cell_type": "markdown",
- "id": "d702da32",
+ "id": "a3fbe809",
"metadata": {},
"source": [
"Cells can be visualized as follows:"
@@ -177,8 +177,8 @@
},
{
"cell_type": "code",
- "execution_count": 4,
- "id": "21ea592c",
+ "execution_count": 9,
+ "id": "447c99bd",
"metadata": {},
"outputs": [
{
@@ -201,7 +201,7 @@
},
{
"cell_type": "markdown",
- "id": "d6079203",
+ "id": "fe86583b",
"metadata": {},
"source": [
"### Insert mechanisms\n",
@@ -211,8 +211,8 @@
},
{
"cell_type": "code",
- "execution_count": 5,
- "id": "7f585bbf",
+ "execution_count": 10,
+ "id": "bdddba0e",
"metadata": {},
"outputs": [],
"source": [
@@ -223,7 +223,7 @@
},
{
"cell_type": "markdown",
- "id": "152741b7",
+ "id": "dbc08017",
"metadata": {},
"source": [
"Once the cell is created, we can inspect its `.nodes` attribute which lists all properties of the cell:"
@@ -231,8 +231,8 @@
},
{
"cell_type": "code",
- "execution_count": 6,
- "id": "bf260e5a",
+ "execution_count": 11,
+ "id": "eae355bd",
"metadata": {},
"outputs": [
{
@@ -577,7 +577,7 @@
"[10 rows x 25 columns]"
]
},
- "execution_count": 6,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -588,7 +588,7 @@
},
{
"cell_type": "markdown",
- "id": "df13d383",
+ "id": "a9506866",
"metadata": {},
"source": [
"_Note that `Jaxley` uses the same units as the `NEURON` simulator, which are listed [here](https://www.neuron.yale.edu/neuron/static/docs/units/unitchart.html)._\n",
@@ -598,8 +598,8 @@
},
{
"cell_type": "code",
- "execution_count": 7,
- "id": "d8cc87df",
+ "execution_count": 12,
+ "id": "6312e227",
"metadata": {},
"outputs": [
{
@@ -720,7 +720,7 @@
"[2 rows x 25 columns]"
]
},
- "execution_count": 7,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -731,7 +731,7 @@
},
{
"cell_type": "markdown",
- "id": "db2dbe05",
+ "id": "e9425ae3",
"metadata": {},
"source": [
"The easiest way to know which branch is the 1st branch (or, e.g., the zero-eth compartment of the 1st branch) is to plot it in a different color:"
@@ -739,13 +739,13 @@
},
{
"cell_type": "code",
- "execution_count": 8,
- "id": "d935b6e8",
+ "execution_count": 14,
+ "id": "9eefce4d",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"
"
]
@@ -758,12 +758,12 @@
"fig, ax = plt.subplots(1, 1, figsize=(4, 2))\n",
"_ = cell.vis(ax=ax, col=\"k\")\n",
"_ = cell.branch(1).vis(ax=ax, col=\"r\")\n",
- "_ = cell.branch(1).comp(1).vis(ax=ax, col=\"b\", type=\"scatter\")"
+ "_ = cell.branch(1).comp(1).vis(ax=ax, col=\"b\")"
]
},
{
"cell_type": "markdown",
- "id": "002eb2b3",
+ "id": "8b0459c4",
"metadata": {},
"source": [
"More background and features on indexing as `cell.branch(0)` is in [this tutorial](https://jaxley.readthedocs.io/en/latest/tutorials/00_jaxley_api.html)."
@@ -771,7 +771,7 @@
},
{
"cell_type": "markdown",
- "id": "b19839ca",
+ "id": "611aa6fb",
"metadata": {},
"source": [
"### Change parameters of the cell\n",
@@ -781,8 +781,8 @@
},
{
"cell_type": "code",
- "execution_count": 9,
- "id": "40099c6a",
+ "execution_count": 15,
+ "id": "d8b8e544",
"metadata": {},
"outputs": [],
"source": [
@@ -791,7 +791,7 @@
},
{
"cell_type": "markdown",
- "id": "8ee9cb57",
+ "id": "08892ab8",
"metadata": {},
"source": [
"And we can again inspect the `.nodes` to make sure that the axial resistivity indeed changed:"
@@ -799,8 +799,8 @@
},
{
"cell_type": "code",
- "execution_count": 10,
- "id": "d9ba00c0",
+ "execution_count": 16,
+ "id": "6d3f14aa",
"metadata": {},
"outputs": [
{
@@ -921,7 +921,7 @@
"[2 rows x 25 columns]"
]
},
- "execution_count": 10,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
@@ -932,7 +932,7 @@
},
{
"cell_type": "markdown",
- "id": "b201a433",
+ "id": "005f1e20",
"metadata": {},
"source": [
"In a similar way, you can modify channel properties or initial states (units are again [here](https://www.neuron.yale.edu/neuron/static/docs/units/unitchart.html)):"
@@ -940,8 +940,8 @@
},
{
"cell_type": "code",
- "execution_count": 11,
- "id": "a2bf8e00",
+ "execution_count": 17,
+ "id": "a098f360",
"metadata": {},
"outputs": [],
"source": [
@@ -951,7 +951,7 @@
},
{
"cell_type": "markdown",
- "id": "f80e3f7c",
+ "id": "a08da8da",
"metadata": {},
"source": [
"### Stimulate the cell\n",
@@ -961,8 +961,8 @@
},
{
"cell_type": "code",
- "execution_count": 12,
- "id": "d932bf8a",
+ "execution_count": 18,
+ "id": "90d876b4",
"metadata": {},
"outputs": [
{
@@ -988,7 +988,7 @@
},
{
"cell_type": "markdown",
- "id": "07be7011",
+ "id": "76534f64",
"metadata": {},
"source": [
"We then stimulate one of the compartments of the cell with this step current:"
@@ -996,8 +996,8 @@
},
{
"cell_type": "code",
- "execution_count": 13,
- "id": "17ca9168",
+ "execution_count": 19,
+ "id": "472309b3",
"metadata": {},
"outputs": [
{
@@ -1015,7 +1015,7 @@
},
{
"cell_type": "markdown",
- "id": "00879bc5",
+ "id": "bdbd193f",
"metadata": {},
"source": [
"### Define recordings"
@@ -1023,7 +1023,7 @@
},
{
"cell_type": "markdown",
- "id": "5e8b5d2d",
+ "id": "16881662",
"metadata": {},
"source": [
"Next, you have to define where to record the voltage. In this case, we will record the voltage at two locations:"
@@ -1031,8 +1031,8 @@
},
{
"cell_type": "code",
- "execution_count": 14,
- "id": "89fa9aa9",
+ "execution_count": 20,
+ "id": "46107eb1",
"metadata": {},
"outputs": [
{
@@ -1052,7 +1052,7 @@
},
{
"cell_type": "markdown",
- "id": "be0b8320",
+ "id": "1cd6625b",
"metadata": {},
"source": [
"We can again visualize these locations to understand where we inserted recordings:"
@@ -1060,13 +1060,13 @@
},
{
"cell_type": "code",
- "execution_count": 15,
- "id": "473b933f",
+ "execution_count": 21,
+ "id": "74cb63b9",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"
"
]
@@ -1078,13 +1078,13 @@
"source": [
"fig, ax = plt.subplots(1, 1, figsize=(4, 2))\n",
"_ = cell.vis(ax=ax)\n",
- "_ = cell.branch(0).loc(0.0).vis(ax=ax, col=\"b\", type=\"scatter\")\n",
- "_ = cell.branch(3).loc(1.0).vis(ax=ax, col=\"g\", type=\"scatter\")"
+ "_ = cell.branch(0).loc(0.0).vis(ax=ax, col=\"b\")\n",
+ "_ = cell.branch(3).loc(1.0).vis(ax=ax, col=\"g\")"
]
},
{
"cell_type": "markdown",
- "id": "1c9fef15",
+ "id": "38f1cf41",
"metadata": {},
"source": [
"### Simulate the cell response\n",
@@ -1094,8 +1094,8 @@
},
{
"cell_type": "code",
- "execution_count": 16,
- "id": "9e480661",
+ "execution_count": 22,
+ "id": "19e7805b",
"metadata": {},
"outputs": [
{
@@ -1113,7 +1113,7 @@
},
{
"cell_type": "markdown",
- "id": "cc4af7d6",
+ "id": "bb99315b",
"metadata": {},
"source": [
"The `jx.integrate` function returns an array of shape `(num_recordings, num_timepoints)`. In our case, we inserted `2` recordings and we simulated for 10ms at a 0.025 time step, which leads to 402 time steps.\n",
@@ -1123,8 +1123,8 @@
},
{
"cell_type": "code",
- "execution_count": 17,
- "id": "f643f430",
+ "execution_count": 23,
+ "id": "721ad2ef",
"metadata": {},
"outputs": [
{
@@ -1146,7 +1146,7 @@
},
{
"cell_type": "markdown",
- "id": "16df27fb",
+ "id": "e8997a9b",
"metadata": {},
"source": [
"At the location of the first recording (in blue) the cell spiked, whereas at the second recording, it did not. This makes sense because we only inserted sodium and potassium channels into the first branch, but not in the entire cell."
@@ -1154,7 +1154,7 @@
},
{
"cell_type": "markdown",
- "id": "7382b636",
+ "id": "dfed7c10",
"metadata": {},
"source": [
"Congrats! You have just run your first morphologically detailed neuron simulation in `Jaxley`. We suggest to continue by learning how to [build networks](https://jaxley.readthedocs.io/en/latest/tutorials/02_small_network.html). If you are only interested in single cell simulations, you can directly jump to learning how to [speed up simulations](https://jaxley.readthedocs.io/en/latest/tutorials/04_jit_and_vmap.html). If you want to simulate detailed morphologies from SWC files, checkout our tutorial on [working with detailed morphologies](https://jaxley.readthedocs.io/en/latest/tutorials/08_importing_morphologies.html)."
diff --git a/docs/tutorials/02_small_network.ipynb b/docs/tutorials/02_small_network.ipynb
index d7107d8f..84b3807e 100644
--- a/docs/tutorials/02_small_network.ipynb
+++ b/docs/tutorials/02_small_network.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
- "id": "48401559",
+ "id": "10cb8b05",
"metadata": {},
"source": [
"# Network simulations in Jaxley"
@@ -10,7 +10,7 @@
},
{
"cell_type": "markdown",
- "id": "0acd0aaa",
+ "id": "3149c330",
"metadata": {},
"source": [
"In this tutorial, you will learn how to:\n",
@@ -48,7 +48,7 @@
},
{
"cell_type": "markdown",
- "id": "813f0cb4",
+ "id": "7dd2ee98",
"metadata": {},
"source": [
"In the previous tutorial, you learned how to build single cells with morphological detail, how to insert stimuli and recordings, and how to run a first simulation. In this tutorial, we will define networks of multiple cells and connect them with synapses. Let's get started:"
@@ -57,7 +57,7 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "7a1d3a77",
+ "id": "c08d10cb",
"metadata": {},
"outputs": [],
"source": [
@@ -78,7 +78,7 @@
},
{
"cell_type": "markdown",
- "id": "4c823295",
+ "id": "9c39dfef",
"metadata": {},
"source": [
"### Define the network\n",
@@ -89,18 +89,18 @@
{
"cell_type": "code",
"execution_count": 2,
- "id": "1b756b73",
+ "id": "3858f198",
"metadata": {},
"outputs": [],
"source": [
"comp = jx.Compartment()\n",
- "branch = jx.Branch(comp, nseg=4)\n",
+ "branch = jx.Branch(comp, ncomp=4)\n",
"cell = jx.Cell(branch, parents=[-1, 0, 0, 1, 1, 2, 2])"
]
},
{
"cell_type": "markdown",
- "id": "a7c03145",
+ "id": "9d3e84bc",
"metadata": {},
"source": [
"We can assemble multiple cells into a network by using `jx.Network`, which takes a list of `jx.Cell`s. Here, we assemble 11 cells into a network:"
@@ -109,7 +109,7 @@
{
"cell_type": "code",
"execution_count": 3,
- "id": "0a7b7bd2",
+ "id": "a214b164",
"metadata": {},
"outputs": [],
"source": [
@@ -119,7 +119,7 @@
},
{
"cell_type": "markdown",
- "id": "cb9fdc89",
+ "id": "d8e091d5",
"metadata": {},
"source": [
"At this point, we can already visualize this network:"
@@ -128,7 +128,7 @@
{
"cell_type": "code",
"execution_count": 4,
- "id": "fe08e4a2",
+ "id": "d184c739",
"metadata": {},
"outputs": [
{
@@ -151,7 +151,7 @@
},
{
"cell_type": "markdown",
- "id": "aa1f48ef",
+ "id": "c7b39541",
"metadata": {},
"source": [
"_Note: you can use `move_to` to have more control over the location of cells, e.g.: `network.cell(i).move_to(x=0, y=200)`._"
@@ -159,7 +159,7 @@
},
{
"cell_type": "markdown",
- "id": "f12c95ae",
+ "id": "1e1e5d74",
"metadata": {},
"source": [
"As you can see, the neurons are not connected yet. Let's fix this by connecting neurons with synapses. We will build a network consisting of two layers: 10 neurons in the input layer and 1 neuron in the output layer.\n",
@@ -170,7 +170,7 @@
{
"cell_type": "code",
"execution_count": 5,
- "id": "d65c7953",
+ "id": "e4b94afc",
"metadata": {},
"outputs": [],
"source": [
@@ -181,7 +181,7 @@
},
{
"cell_type": "markdown",
- "id": "ec569fe8",
+ "id": "1d629fbe",
"metadata": {},
"source": [
"Let's visualize this again:"
@@ -190,12 +190,12 @@
{
"cell_type": "code",
"execution_count": 6,
- "id": "577f14a0",
+ "id": "39d172dc",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"
"
]
@@ -211,7 +211,7 @@
},
{
"cell_type": "markdown",
- "id": "25f3fc02",
+ "id": "7886a6a9",
"metadata": {},
"source": [
"As you can see, the `full_connect` method inserted one synapse (in blue) from every neuron in the first layer to the output neuron. The `fully_connect` method builds this synapse from the zero-eth compartment and zero-eth branch of the presynaptic neuron onto a random branch of the postsynaptic neuron. If you want more control over the pre- and post-synaptic branches, you can use the `connect` method:"
@@ -220,7 +220,7 @@
{
"cell_type": "code",
"execution_count": 7,
- "id": "8a34cb5f",
+ "id": "f78efb05",
"metadata": {},
"outputs": [],
"source": [
@@ -232,12 +232,12 @@
{
"cell_type": "code",
"execution_count": 8,
- "id": "3524a008",
+ "id": "10cc3baa",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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