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main.ipynb

@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 52,
    "id": "489193ba-061f-4815-88bc-d247e47e868c",
    "metadata": {},
    "outputs": [
@@ -600,7 +600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 50,
    "id": "598a041f-8410-445f-8b7f-5fcc4fce0712",
    "metadata": {},
    "outputs": [
@@ -611,7 +611,7 @@
       "Loading concatenated nsdgeneral voxels from all betas_sessions for NSD subj01\n",
       "nsd_vox (30000, 15724)\n",
       "voxels have been zscored\n",
-      "2.6526928801710407e-17 0.9999999980682533\n"
+      "-9.177843670234628e-19 0.9999999979254887\n"
      ]
     }
    ],
@@ -623,7 +623,11 @@
     "        nsd_vox = file['subj01'][:] # (30000, 15724)\n",
     "    print(\"nsd_vox\", nsd_vox.shape)\n",
     "\n",
-    "    nsd_vox = zscore(nsd_vox)\n",
+    "    # session-wise zscoring\n",
+    "    for start_idx in range(0,len(nsd_vox),750):\n",
+    "        end_idx = min(start_idx + 750, len(nsd_vox))\n",
+    "        nsd_vox[start_idx:end_idx] = zscore(nsd_vox[start_idx:end_idx])\n",
+    "\n",
     "    print(\"voxels have been zscored\")\n",
     "    print(nsd_vox[:,0].mean(), nsd_vox[:,0].std())\n",
     "except:\n",
@@ -652,7 +656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 54,
    "id": "954c9282-1627-4b79-9bc5-607cfb771157",
    "metadata": {},
    "outputs": [
@@ -709,7 +713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 55,
    "id": "5fa54e09-0830-471e-8364-e9a2af5a4047",
    "metadata": {},
    "outputs": [
@@ -764,7 +768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 56,
    "id": "4c21a67b-f6df-4db2-b691-9c0935e8210d",
    "metadata": {},
    "outputs": [
@@ -772,7 +776,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████████████████████████████| 15724/15724 [00:00<00:00, 20573.28it/s]"
+      "100%|██████████████████████████████████| 15724/15724 [00:00<00:00, 22100.95it/s]"
      ]
     },
     {
@@ -800,7 +804,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 57,
    "id": "351ea533-f62a-4ee6-ae73-7cb430c27d94",
    "metadata": {},
    "outputs": [
@@ -810,7 +814,7 @@
        "(150, 2, 15724)"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -829,7 +833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 58,
    "id": "0fcd3c21-8d45-4384-8709-c28ccd0869b9",
    "metadata": {},
    "outputs": [
@@ -844,7 +848,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|█████████████████████████████████████████| 150/150 [00:05<00:00, 28.85it/s]\n"
+      "100%|█████████████████████████████████████████| 150/150 [00:05<00:00, 29.30it/s]\n"
      ]
     },
     {
@@ -858,7 +862,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|█████████████████████████████████████████| 150/150 [00:04<00:00, 34.49it/s]\n"
+      "100%|█████████████████████████████████████████| 150/150 [00:04<00:00, 34.58it/s]\n"
      ]
     },
     {
@@ -872,7 +876,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|█████████████████████████████████████████| 150/150 [00:03<00:00, 45.08it/s]\n"
+      "100%|█████████████████████████████████████████| 150/150 [00:03<00:00, 44.06it/s]\n"
      ]
     },
     {
@@ -886,7 +890,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|█████████████████████████████████████████| 150/150 [00:02<00:00, 54.06it/s]\n"
+      "100%|█████████████████████████████████████████| 150/150 [00:02<00:00, 51.37it/s]\n"
      ]
     }
    ],
@@ -915,7 +919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 59,
    "id": "5dbbb1e1-7ed9-43a9-b482-b1005bbaf6c7",
    "metadata": {},
    "outputs": [