--- a
+++ b/Analysis/.ipynb_checkpoints/CCA-checkpoint.ipynb
@@ -0,0 +1,724 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d445e5d2-e5db-4095-92fb-1c975f5463cc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.cross_decomposition import CCA\n",
+    "import numpy as np\n",
+    "import pickle\n",
+    "from scipy.io import loadmat\n",
+    "from sklearn.decomposition import PCA\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy.ndimage import gaussian_filter1d\n",
+    "from sklearn.metrics import r2_score\n",
+    "\n",
+    "from sklearn.linear_model import LinearRegression, Ridge\n",
+    "from sklearn.metrics import r2_score\n",
+    "from scipy.spatial import procrustes\n",
+    "from sklearn.decomposition import PCA\n",
+    "from scipy.stats import zscore\n",
+    "\n",
+    "import sys\n",
+    "sys.path.insert(0, '../SAC/')\n",
+    "import kinematics_preprocessing_specs\n",
+    "\n",
+    "import config\n",
+    "\n",
+    "parser = config.config_parser()\n",
+    "args, unknown = parser.parse_known_args()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d239d0e1-9ba6-4cbc-8e46-d527c462204b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "dict_keys(['emg', 'rnn_activity', 'rnn_input', 'rnn_input_fp', 'kinematics_mbodies', 'kinematics_mtargets'])\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Load the test data of nusim\n",
+    "\n",
+    "with open('../test_data/test_data.pkl', 'rb') as file:\n",
+    "    test_data = pickle.load(file)\n",
+    "    \n",
+    "print(test_data.keys())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1e09b429-e737-4827-8957-03695a808f50",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#Get the timepoints of each condition per cycle\n",
+    "with open('../kinematics_data/kinematics.pkl', 'rb') as file:\n",
+    "    kin_train_test = pickle.load(file)\n",
+    "    \n",
+    "kin_train = kin_train_test['train']\n",
+    "kin_test = kin_train_test['test']\n",
+    "\n",
+    "#First update the keys of self.kin_test\n",
+    "for cond in range(len(kin_test)):\n",
+    "    kin_test[len(kin_train) + cond] = kin_test.pop(cond)\n",
+    "    \n",
+    "kin = kin_train\n",
+    "kin.update(kin_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d3440e80-058a-47ac-b351-bc5afdc9b97b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#Get the experimental neural data\n",
+    "\n",
+    "with open('../nusim_neural_data/neural_activity_train.pkl', 'rb') as file:\n",
+    "    neural_train = pickle.load(file)\n",
+    "\n",
+    "with open('../nusim_neural_data/neural_activity_test.pkl', 'rb') as file:\n",
+    "    neural_test = pickle.load(file)\n",
+    "\n",
+    "#First update the keys of self.kin_test\n",
+    "for cond in range(len(neural_test)):\n",
+    "    neural_test[len(neural_train) + cond] = neural_test.pop(cond)\n",
+    "    \n",
+    "neural = neural_train\n",
+    "neural.update(neural_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "b9627733-7852-4a97-ab36-33bc67750e36",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "conds = [kin[cond].shape[-1] for cond in range(len(kin))]\n",
+    "total_conds = len(conds)\n",
+    "\n",
+    "#Select the cycle for each condition (training conditions followed by testing): 0 for 1st cycle and so on\n",
+    "#The number of elements should be equal to num_train_conditions + num_test_conditions\n",
+    "cycles = [2, 2, 2, 2, 2, 2]\n",
+    "\n",
+    "#Number of fixedsteps in the start of each condition\n",
+    "n_fixedsteps= args.n_fixedsteps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "9b6fb07e-c4fe-4851-9a54-d1e5510eea0e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#index of conds to include in the CCA analysis\n",
+    "conds_analysis= [0, 1, 2, 3, 4, 5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "9b9e44b6-d1e0-4d1e-9b9f-c721e09a0888",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6000, 256)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_data.keys()\n",
+    "test_data['rnn_activity'][0].shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "50ec5570-0db6-4e0b-9f54-952b48b4d64d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(702, 256)\n",
+      "(803, 256)\n",
+      "(932, 256)\n",
+      "(1319, 256)\n",
+      "(619, 256)\n",
+      "(1106, 256)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Load the network activities\n",
+    "A_agent = []\n",
+    "\n",
+    "for idx, cond_activity in test_data['rnn_activity'].items():\n",
+    "    act_agent = cond_activity\n",
+    "    act_agent = act_agent[n_fixedsteps + cycles[idx] * conds[idx] : n_fixedsteps + (cycles[idx]+1) * conds[idx]]\n",
+    "    print(act_agent.shape)\n",
+    "    A_agent.append(act_agent[:, :])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "5f6d7ba5-668a-4e4e-8848-c7882addd19e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(702, 49)\n",
+      "(803, 49)\n",
+      "(932, 49)\n",
+      "(1319, 49)\n",
+      "(619, 49)\n",
+      "(1106, 49)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load the experimental neural activities\n",
+    "A_exp = []\n",
+    "for cond in range(len(neural)):\n",
+    "    act_exp = neural[cond]\n",
+    "    print(act_exp.shape)\n",
+    "    A_exp.append(act_exp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "4ae183ff-8cd3-4604-b3f2-a599a3b45ce1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/noman/anaconda3/lib/python3.11/site-packages/sklearn/cross_decomposition/_pls.py:113: ConvergenceWarning: Maximum number of iterations reached\n",
+      "  warnings.warn(\"Maximum number of iterations reached\", ConvergenceWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Now printing the correlations\n",
+      "CC1 R2 0.999988574691451\n",
+      "CC2 R2 0.9996547617156106\n",
+      "CC3 R2 0.9958707425227467\n",
+      "CC4 R2 0.995144569760956\n",
+      "CC5 R2 0.9895661083783281\n",
+      "CC6 R2 0.9896324103565417\n",
+      "CC7 R2 0.7771718310683187\n",
+      "CC8 R2 0.6853744366246824\n",
+      "CC9 R2 -0.046418784280164216\n",
+      "CC10 R2 -0.21130867166761647\n",
+      "Average R2 [Agent Canonical Activity transformed in Exp PC Space] 0.7174675979170855\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Select the condition to do the CCA\n",
+    "#Test Conditions are followed by Train conditions\n",
+    "cond = 4\n",
+    "\n",
+    "A_exp_cca = A_exp[cond]\n",
+    "A_agent_cca = A_agent[cond]\n",
+    "\n",
+    "#Select the number of components for PCA and CCA\n",
+    "n_comps = 10\n",
+    "PC_agent = PCA(n_components= n_comps)\n",
+    "PC_exp = PCA(n_components= n_comps)\n",
+    "\n",
+    "A_exp_cca = PC_exp.fit_transform(A_exp_cca)\n",
+    "A_agent_cca = PC_agent.fit_transform(A_agent_cca)\n",
+    "\n",
+    "cca = CCA(n_components =n_comps, scale= True)\n",
+    "exp_c, agent_c = cca.fit_transform(A_exp_cca, A_agent_cca)\n",
+    "# print(cca.score(A_exp_cca, A_agent_cca))\n",
+    "\n",
+    "#Transform the canonical agent's activity back into the original experimental PC space\n",
+    "exp_prime = cca.inverse_transform(agent_c)\n",
+    "\n",
+    "plt.figure(figsize= (6, 6))\n",
+    "\n",
+    "for k in range(n_comps):\n",
+    "    if k==0:\n",
+    "        plt.plot(A_exp_cca[:,n_comps-1-k]/np.max(A_exp_cca[:,n_comps-1-k]) + k*4, linewidth=1.5, c = 'k')\n",
+    "        plt.plot(exp_prime[:,n_comps-1-k]/np.max(A_exp_cca[:,n_comps-1-k]) + k*4, linewidth= 1.5, c=(50/255, 205/255, 50/255), label= 'Network Reconstruction')\n",
+    "    else:\n",
+    "        plt.plot(A_exp_cca[:, n_comps -1 - k]/np.max(A_exp_cca[:,n_comps-1-k]) + k * 4, linewidth=1.5, c='k')\n",
+    "        plt.plot(exp_prime[:, n_comps -1 - k]/np.max(A_exp_cca[:,n_comps-1-k]) + k * 4, linewidth=1.5, c=(50 / 255, 205 / 255, 50 / 255))\n",
+    "\n",
+    "plt.ylabel('Reconstructed M1 Population Activity', size=14)\n",
+    "plt.xticks([0, 500], ['0', '0.5'], size= 14)\n",
+    "plt.yticks([])\n",
+    "plt.show()\n",
+    "\n",
+    "#Now plot the PCs on the same plot here\n",
+    "ax = plt.figure(figsize= (6,6), dpi=100).add_subplot(projection='3d')\n",
+    "ax.plot(A_exp_cca[:,0], A_exp_cca[:, 1], A_exp_cca[:, 2], c = 'k')\n",
+    "ax.plot(exp_prime[:,0], exp_prime[:, 1], exp_prime[:, 2], c=(50/255, 205/255, 50/255))\n",
+    "\n",
+    "# Hide grid lines\n",
+    "ax.grid(False)\n",
+    "plt.grid(b=None)\n",
+    "\n",
+    "# Hide axes ticks\n",
+    "ax.set_xticks([])\n",
+    "ax.set_yticks([])\n",
+    "ax.set_zticks([])\n",
+    "plt.axis('off')\n",
+    "\n",
+    "plt.show()\n",
+    "# plt.savefig('C:/Users/malma/Dropbox/NatureFigs2/Fig2/PCA_619.svg', format='svg', dpi=300, transparent= True)\n",
+    "\n",
+    "\n",
+    "print('Now printing the correlations')\n",
+    "\n",
+    "for comp in range(n_comps):\n",
+    "    print(f'CC{comp+1} R2', r2_score(A_exp_cca[:, comp], exp_prime[:, comp]))\n",
+    "\n",
+    "sum = 0\n",
+    "for k in range(n_comps):\n",
+    "    sum = sum + r2_score(A_exp_cca[:, k], exp_prime[:, k])\n",
+    "average = sum / n_comps;\n",
+    "\n",
+    "print('Average R2 [Agent Canonical Activity transformed in Exp PC Space]', average)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "d88dab84-8a40-4151-bd7e-acca8461e060",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CC1 R2 0.9998521124477896\n",
+      "CC2 R2 0.9999154774286575\n",
+      "CC3 R2 0.7898788812307532\n",
+      "CC4 R2 0.9693562478476777\n",
+      "CC5 R2 0.8423896630940062\n",
+      "CC6 R2 0.912512871376749\n",
+      "CC7 R2 0.3390527026807524\n",
+      "CC8 R2 0.6984144827303018\n",
+      "CC9 R2 0.6778364814077065\n",
+      "CC10 R2 -0.05225816404797978\n",
+      "Average R2 [Exp Canonical Activity transformed in Agent PC Space] 0.7176950756196414\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Now do the CCA by transforming the experimental activity into agent's population space\n",
+    "#Transform the canonical experimental activity into the agent's population space\n",
+    "agent_prime = exp_c @ np.linalg.inv(cca.y_weights_)\n",
+    "agent_prime = agent_prime * np.std(A_agent_cca, axis= 0) + np.mean(A_agent_cca, axis= 0)\n",
+    "\n",
+    "#Plot the R2 between the transform exp_canonical and agent population activity\n",
+    "sum = 0\n",
+    "for k in range(n_comps):\n",
+    "    print(f'CC{k+1} R2', r2_score(A_agent_cca[:, k], agent_prime[:, k]))\n",
+    "    \n",
+    "    sum = sum + r2_score(A_agent_cca[:, k], agent_prime[:, k])\n",
+    "average = sum / n_comps;\n",
+    "\n",
+    "#The agent's population/pca activity as explained by the inverse CCA experimental activity\n",
+    "print('Average R2 [Exp Canonical Activity transformed in Agent PC Space]', average)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "0a5087c2-cc47-42ed-b7b3-a4de036846ef",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Variance explained by CC1 0.10000000770853594\n",
+      "Variance explained by CC2 0.10000048118494222\n",
+      "Variance explained by CC3 0.1000035314706818\n",
+      "Variance explained by CC4 0.10000203096366256\n",
+      "Variance explained by CC5 0.10000186888557269\n",
+      "Variance explained by CC6 0.10006262504438744\n",
+      "Variance explained by CC7 0.10000011610592106\n",
+      "Variance explained by CC8 0.09993114842794806\n",
+      "Variance explained by CC9 0.09995417128113024\n",
+      "Variance explained by CC10 0.10004405463222651\n",
+      "Variance Explained 1.0000000357050085\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Now find the explained variance ratio of the agent population/PC subspace\n",
+    "\n",
+    "A_agent_z = (A_agent_cca - np.mean(A_agent_cca, axis= 0)) / np.std(A_agent_cca, axis= 0)\n",
+    "# A_agent_z = zscore(A_agent_cca, ddof= 1 )\n",
+    "A_agent_zm = A_agent_z - np.mean(A_agent_z, axis= 0)\n",
+    "\n",
+    "#Find the covariance matrix of the agent population/pca activity\n",
+    "C_agent = (A_agent_zm.T@A_agent_zm)/(A_agent_zm.shape[0]-1)\n",
+    "\n",
+    "variance_explained= 0\n",
+    "for comp in range(n_comps):\n",
+    "    explained_variance_ratio = (cca.y_weights_[:, comp]@C_agent@cca.y_weights_[:, comp].T)/np.sum(np.diag(C_agent))\n",
+    "    variance_explained += explained_variance_ratio\n",
+    "    print(f'Variance explained by CC{comp+1}' , explained_variance_ratio)\n",
+    "\n",
+    "print('Variance Explained', variance_explained)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "9e00d1b7-17e4-40aa-ad8c-59fabbc69322",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(5481, 256)\n",
+      "(5481, 49)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Concatenate the musim activity for all conditions\n",
+    "for idx_cond, i_cond in enumerate(conds_analysis):\n",
+    "    \n",
+    "    if idx_cond == 0:\n",
+    "        A_agent_cum = A_agent[i_cond]\n",
+    "    else:\n",
+    "        A_agent_cum = np.concatenate((A_agent_cum, A_agent[i_cond]), axis=0)\n",
+    "        \n",
+    "#Concatenate the experimental neural activity for all conditions\n",
+    "for idx_cond, i_cond in enumerate(conds_analysis):\n",
+    "    if idx_cond == 0:\n",
+    "        A_exp_cum = A_exp[i_cond]\n",
+    "    else:\n",
+    "        A_exp_cum = np.concatenate((A_exp_cum, A_exp[i_cond]), axis=0)\n",
+    "        \n",
+    "print(A_agent_cum.shape)\n",
+    "print(A_exp_cum.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "9249d0b7-b3b5-49cc-879a-16d351eab4cb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Now printing the correlations\n",
+      "CC1 R2 0.9942482501425972\n",
+      "CC2 R2 0.9717159215849547\n",
+      "CC3 R2 0.5673300170627738\n",
+      "CC4 R2 0.599311245783303\n",
+      "CC5 R2 0.6994454817801469\n",
+      "CC6 R2 0.5440635894160954\n",
+      "CC7 R2 -0.4018097953818902\n",
+      "CC8 R2 -0.06624239719614189\n",
+      "CC9 R2 0.39182721503963547\n",
+      "CC10 R2 -0.47502633278145723\n",
+      "Average R2 (Combined) [Agent Canonical Activity transformed in Exp PC Space] 0.3824863195450017\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Do the collective CCA for all the speeds\n",
+    "\n",
+    "A_exp_cca = A_exp_cum\n",
+    "A_agent_cca = A_agent_cum\n",
+    "\n",
+    "#Filter the agent's activity through 20ms gaussian filter as done with experimental data\n",
+    "# A_agent_cca = gaussian_filter1d(A_agent_cca.T, 20).T\n",
+    "\n",
+    "#Select the number of components for PCA and CCA\n",
+    "n_comps = 10\n",
+    "PC_agent = PCA(n_components= n_comps)\n",
+    "PC_exp = PCA(n_components= n_comps)\n",
+    "\n",
+    "A_exp_cca = PC_exp.fit_transform(A_exp_cca)\n",
+    "A_agent_cca = PC_agent.fit_transform(A_agent_cca)\n",
+    "\n",
+    "cca = CCA(n_components =n_comps)\n",
+    "exp_c, agent_c = cca.fit_transform(A_exp_cca, A_agent_cca)\n",
+    "\n",
+    "#Transform the canonical agent's activity back into the original experimental PC space\n",
+    "exp_prime = cca.inverse_transform(agent_c)\n",
+    "\n",
+    "plt.figure(figsize= (6, 6))\n",
+    "\n",
+    "for k in range(n_comps):\n",
+    "    if k==0:\n",
+    "        plt.plot(A_exp_cca[:,n_comps-1-k]/np.max(A_exp_cca[:,n_comps-1-k]) + k*4, linewidth=1.5, c = 'k')\n",
+    "        plt.plot(exp_prime[:,n_comps-1-k]/np.max(A_exp_cca[:,n_comps-1-k]) + k*4, linewidth= 1.5, c=(50/255, 205/255, 50/255), label= 'Network Reconstruction')\n",
+    "    else:\n",
+    "        plt.plot(A_exp_cca[:, n_comps -1 - k]/np.max(A_exp_cca[:,n_comps-1-k]) + k * 4, linewidth=1.5, c='k')\n",
+    "        plt.plot(exp_prime[:, n_comps -1 - k]/np.max(A_exp_cca[:,n_comps-1-k]) + k * 4, linewidth=1.5, c=(50 / 255, 205 / 255, 50 / 255))\n",
+    "\n",
+    "plt.ylabel('Reconstructed M1 Population Activity', size=14)\n",
+    "plt.xticks([0, 500], ['0', '0.5'], size= 14)\n",
+    "plt.yticks([])\n",
+    "plt.show()\n",
+    "\n",
+    "#Now plot the PCs on the same plot here\n",
+    "ax = plt.figure(figsize= (6,6), dpi=100).add_subplot(projection='3d')\n",
+    "ax.plot(A_exp_cca[:,0], A_exp_cca[:, 1], A_exp_cca[:, 2], c = 'k')\n",
+    "ax.plot(exp_prime[:,0], exp_prime[:, 1], exp_prime[:, 2], c=(50/255, 205/255, 50/255))\n",
+    "\n",
+    "# Hide grid lines\n",
+    "ax.grid(False)\n",
+    "plt.grid(b=None)\n",
+    "\n",
+    "# Hide axes ticks\n",
+    "ax.set_xticks([])\n",
+    "ax.set_yticks([])\n",
+    "ax.set_zticks([])\n",
+    "plt.axis('off')\n",
+    "\n",
+    "plt.show()\n",
+    "# plt.savefig('C:/Users/malma/Dropbox/NatureFigs2/Fig2/PCA_619.svg', format='svg', dpi=300, transparent= True)\n",
+    "\n",
+    "\n",
+    "print('Now printing the correlations')\n",
+    "\n",
+    "for comp in range(n_comps):\n",
+    "    print(f'CC{comp+1} R2', r2_score(A_exp_cca[:, comp], exp_prime[:, comp]))\n",
+    "\n",
+    "sum = 0\n",
+    "for k in range(n_comps):\n",
+    "    sum = sum + r2_score(A_exp_cca[:, k], exp_prime[:, k])\n",
+    "average = sum / n_comps;\n",
+    "\n",
+    "print('Average R2 (Combined) [Agent Canonical Activity transformed in Exp PC Space]', average)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "48d45d05-1df9-4c1a-a4b7-f930a609e4c7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CC1 R2 0.8421185966510031\n",
+      "CC2 R2 0.9668815486759929\n",
+      "CC3 R2 0.9771732159540966\n",
+      "CC4 R2 0.650270401548445\n",
+      "CC5 R2 0.27935159274261023\n",
+      "CC6 R2 0.11212105314265008\n",
+      "CC7 R2 -0.631171891316523\n",
+      "CC8 R2 -0.7000648412213246\n",
+      "CC9 R2 0.6534627743980339\n",
+      "CC10 R2 0.6752850223901805\n",
+      "Average R2 (Combined) [Exp Canonical Activity transformed in Agent PC Space] 0.3825427472965165\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Transform the canonical experimental activity into the agent's population space\n",
+    "\n",
+    "agent_prime = exp_c @ np.linalg.inv(cca.y_weights_)\n",
+    "agent_prime = agent_prime * np.std(A_agent_cca, axis= 0) + np.mean(A_agent_cca, axis= 0)\n",
+    "\n",
+    "#Plot the R2 between the transform exp_canonical and agent population activity\n",
+    "sum = 0\n",
+    "for k in range(n_comps):\n",
+    "    print(f'CC{k+1} R2', r2_score(A_agent_cca[:, k], agent_prime[:, k]))\n",
+    "    \n",
+    "    sum = sum + r2_score(A_agent_cca[:, k], agent_prime[:, k])\n",
+    "average = sum / n_comps;\n",
+    "\n",
+    "print('Average R2 (Combined) [Exp Canonical Activity transformed in Agent PC Space]', average)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "faf9ea27-9c75-4166-b90c-38f30ef0aace",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Variance explained by CC1 0.10000010985021043\n",
+      "Variance explained by CC2 0.10000013549895356\n",
+      "Variance explained by CC3 0.09999987877443585\n",
+      "Variance explained by CC4 0.10000002040093958\n",
+      "Variance explained by CC5 0.09999993274751368\n",
+      "Variance explained by CC6 0.10000010812629914\n",
+      "Variance explained by CC7 0.10000010306148249\n",
+      "Variance explained by CC8 0.10000009061962879\n",
+      "Variance explained by CC9 0.10000030234209181\n",
+      "Variance explained by CC10 0.09999934241593843\n",
+      "Variance Explained 1.0000000238374935\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Now find the explained variance ratio of the agent population/PC subspace for combined CCA Analysis\n",
+    "\n",
+    "A_agent_z = (A_agent_cca - np.mean(A_agent_cca, axis= 0)) / np.std(A_agent_cca, axis= 0)\n",
+    "# A_agent_z = zscore(A_agent_cca, ddof= 1 )\n",
+    "A_agent_zm = A_agent_z - np.mean(A_agent_z, axis= 0)\n",
+    "\n",
+    "#Find the covariance matrix of the agent population/pca activity\n",
+    "C_agent = (A_agent_zm.T@A_agent_zm)/(A_agent_zm.shape[0]-1)\n",
+    "\n",
+    "variance_explained= 0\n",
+    "for comp in range(n_comps):\n",
+    "    explained_variance_ratio = (cca.y_weights_[:, comp]@C_agent@cca.y_weights_[:, comp].T)/np.sum(np.diag(C_agent))\n",
+    "    variance_explained += explained_variance_ratio\n",
+    "    print(f'Variance explained by CC{comp+1}', explained_variance_ratio)\n",
+    "\n",
+    "print('Variance Explained', variance_explained)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f891bce-2210-42e0-ab87-f6f45468f7d9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca152c24-ea4c-4f66-a31f-d54fadc3dde5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}