diff --git a/multi-area-model.ipynb b/multi-area-model.ipynb index af6ffc99a2b4ea2faf7aa705980d304e2e19a368..cd903083d215a313b5478fdbf612eec91b38087c 100644 --- a/multi-area-model.ipynb +++ b/multi-area-model.ipynb @@ -145,7 +145,28 @@ "id": "d53f1eab", "metadata": {}, "source": [ - "### 2. Model and simulation parameters" + "### 2. Model, simulation and theory parameters" + ] + }, + { + "cell_type": "markdown", + "id": "e779c727", + "metadata": {}, + "source": [ + "The parameters fall into 3 categories: Model parameters, Simulation parameters, Theory parameters.<br>\n", + "\n", + "**Model parameters**<br>\n", + "Model paramters are the most important among all the paramters, it directly affect the model itself and thus have a great impact on the simulation results. Model paramters define the connection, input, neuron, and network charateristics of the model.\n", + "* Connection paramters\n", + "* Input parameters\n", + "* Neuron parameters\n", + "* Network parameters<br>\n", + "\n", + "**Simualation parameters**<br>\n", + "Simulation parameters define the paramters that influence the process of simulation, inlcuding the simulation time, the number of processes and theads used to run the simulation.<br>\n", + "\n", + "**Theory parameters**<br>\n", + "Theory parameters defines ..." ] }, { @@ -153,7 +174,15 @@ "id": "14bac1ce-4ba0-47ec-84b2-9d3c72bc96ec", "metadata": {}, "source": [ - "#### 2.1 Connection parameters (conn_params)" + "#### 2.1 Model parameters" + ] + }, + { + "cell_type": "markdown", + "id": "106a6a5e", + "metadata": {}, + "source": [ + "* Connection parameters (conn_params)" ] }, { @@ -172,28 +201,12 @@ "| | | av_indegree_V1 | 3950. | |" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "7af3a191", - "metadata": {}, - "outputs": [], - "source": [ - "conn_params = {'replace_non_simulated_areas': 'het_poisson_stat',\n", - " 'g': -11.,\n", - " 'K_stable': 'K_stable.npy',\n", - " 'fac_nu_ext_TH': 1.2,\n", - " 'fac_nu_ext_5E': 1.125,\n", - " 'fac_nu_ext_6E': 1.41666667,\n", - " 'av_indegree_V1': 3950.}" - ] - }, { "cell_type": "markdown", "id": "1688ef55-2fdb-4800-97af-7ea62442c684", "metadata": {}, "source": [ - "#### 2.2 Input parameters (input_params)" + "* Input parameters (input_params)" ] }, { @@ -206,22 +219,12 @@ "| | | rate_ext | 10. | |" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "2195cddb-bd82-47a8-ba74-cf0169a6801d", - "metadata": {}, - "outputs": [], - "source": [ - "input_params = {'rate_ext': 10.}" - ] - }, { "cell_type": "markdown", "id": "aefa84c8-baaa-4afa-96c6-5d57d174b286", "metadata": {}, "source": [ - "#### 2.3 Neuron parameters (neuron_params)" + "* Neuron parameters (neuron_params)" ] }, { @@ -235,28 +238,17 @@ "| | | V0_sd | 50. | |" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "f69ad836-70b8-4ebe-b46a-25f48dc3ca7c", - "metadata": {}, - "outputs": [], - "source": [ - "neuron_params = {'V0_mean': -150.,\n", - " 'V0_sd': 50.}" - ] - }, { "cell_type": "markdown", - "id": "cdb50fb3-4bb9-446a-ab1c-d008b7e5bfa4", + "id": "ea4e01aa", "metadata": {}, "source": [ - "#### 2.4 Network parameters (network_params)" + "* Network parameters (network_params)" ] }, { "cell_type": "markdown", - "id": "3e437aca-1fd0-4296-a0f6-a346b1319903", + "id": "dc4ce111", "metadata": {}, "source": [ "| Parameter | Parameter description | Variable | Value | Value description |\n", @@ -269,6 +261,43 @@ "| Neuron parameters | | neuron_params | neuron_params | |" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e4bed8d", + "metadata": {}, + "outputs": [], + "source": [ + "conn_params = {'replace_non_simulated_areas': 'het_poisson_stat',\n", + " 'g': -11.,\n", + " 'K_stable': 'K_stable.npy',\n", + " 'fac_nu_ext_TH': 1.2,\n", + " 'fac_nu_ext_5E': 1.125,\n", + " 'fac_nu_ext_6E': 1.41666667,\n", + " 'av_indegree_V1': 3950.}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e4ede2c", + "metadata": {}, + "outputs": [], + "source": [ + "input_params = {'rate_ext': 10.}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f69ad836-70b8-4ebe-b46a-25f48dc3ca7c", + "metadata": {}, + "outputs": [], + "source": [ + "neuron_params = {'V0_mean': -150.,\n", + " 'V0_sd': 50.}" + ] + }, { "cell_type": "code", "execution_count": null, @@ -289,7 +318,7 @@ "id": "a0730f70-ed9b-4664-b677-3dda965a01ef", "metadata": {}, "source": [ - "### 2.5 Simulation paramters (sim_params)" + "### 2.2 Simulation paramters (sim_params)" ] }, { @@ -317,7 +346,7 @@ " 'num_processes': 1,\n", " 'local_num_threads': 1,\n", " 'recording_dict': {'record_vm': False},\n", - " 'rng_seed': 1} # global random seed\n" + " 'rng_seed': 1} # global random seed" ] }, { @@ -325,7 +354,7 @@ "id": "79596d77-c105-45d0-9a57-2d15e31f1189", "metadata": {}, "source": [ - "### 2.6. Theory paramters (theory_params)" + "### 2.3. Theory paramters (theory_params)" ] }, {