Knowledge (XXG)

Novelty detection

Source πŸ“

61:, i.e., the phenomenon that known patterns yield a less marked response. Early neural modeling attempts were by Yehuda Salu. An increasing body of knowledge has been collected concerning the corresponding mechanisms in the brain. In technology, the principle became important for 65:
methods during the Cold War, where unusual aircraft-reflection patterns could indicate an attack by a new type of aircraft. Today, the phenomenon plays an important role in
364: 379: 39: 369: 359: 35: 245:"Evidence for area CA1 as a match/mismatch detector: A high-resolution fMRI study of the human hippocampus" 31: 327:
Markou, M.; Singh, S. (2003). "Novelty detection: a review β€” Part 2: neural network based approaches".
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Markou, M.; Singh, S. (2003). "Novelty detection: a review β€” Part 1: statistical approaches".
274: 217: 170: 123: 74: 336: 301: 264: 256: 209: 162: 86: 66: 62: 46: 205: 158: 269: 244: 115: 54: 142: 353: 166: 96: 313: 229: 190:"Attentive novelty detection in humans is governed by pre-attentive sensory memory" 70: 340: 305: 58: 24: 127: 42:, it will be given computational resources for effective future processing. 278: 189: 221: 174: 143:"Models of neural novelty detectors, with similarities to cerebral cortex" 27: 260: 91: 213: 77:. An extensive methodological overview is given by Markou and Singh. 188:
Tiitinen, H.; May, P.; Reinikainen, K.; NÀÀtÀnen, R. (1994).
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as being hitherto unknown. If the pattern is sufficiently
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Duncan, K.; Ketz, N.; Inati, S.J.; Davachi, L. (2012).
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or associated with a high positive or strong negative
118:(1960). "Neuronal models and the orienting reflex". 122:. Josiah Macy, Jr. Foundation. pp. 187–276. 73:, where the corresponding methods are known as 8: 268: 57:in the 1950s. The reverse phenomenon is 120:The Central Nervous System and Behavior 107: 75:anomaly detection or outlier detection 7: 14: 30:is able to identify an incoming 45:The principle is long known in 1: 341:10.1016/j.sigpro.2003.07.019 306:10.1016/j.sigpro.2003.07.018 167:10.1016/0303-2647(88)90003-2 396: 365:Experimental psychology 380:Statistical outliers 49:, with roots in the 206:1994Natur.372...90T 159:1988BiSys..21...99S 261:10.1002/hipo.20933 51:orienting response 335:(12): 2499–2521. 329:Signal Processing 294:Signal Processing 141:Salu, Y. (1988). 17:Novelty detection 387: 370:Machine learning 345: 344: 324: 318: 317: 289: 283: 282: 272: 240: 234: 233: 214:10.1038/372090a0 185: 179: 178: 138: 132: 131: 112: 87:Change detection 67:machine learning 395: 394: 390: 389: 388: 386: 385: 384: 360:Neurophysiology 350: 349: 348: 326: 325: 321: 300:(12): 2481–97. 291: 290: 286: 242: 241: 237: 200:(6501): 90–92. 187: 186: 182: 140: 139: 135: 114: 113: 109: 105: 83: 63:radar detection 47:neurophysiology 32:sensory pattern 12: 11: 5: 393: 391: 383: 382: 377: 372: 367: 362: 352: 351: 347: 346: 319: 284: 255:(3): 389–398. 235: 180: 133: 106: 104: 101: 100: 99: 94: 89: 82: 79: 13: 10: 9: 6: 4: 3: 2: 392: 381: 378: 376: 373: 371: 368: 366: 363: 361: 358: 357: 355: 342: 338: 334: 330: 323: 320: 315: 311: 307: 303: 299: 295: 288: 285: 280: 276: 271: 266: 262: 258: 254: 250: 246: 239: 236: 231: 227: 223: 219: 215: 211: 207: 203: 199: 195: 191: 184: 181: 176: 172: 168: 164: 160: 156: 153:(2): 99–113. 152: 148: 144: 137: 134: 129: 125: 121: 117: 116:Sokolov, E.N. 111: 108: 102: 98: 97:Reward system 95: 93: 90: 88: 85: 84: 80: 78: 76: 72: 68: 64: 60: 56: 55:E. N. Sokolov 52: 48: 43: 41: 37: 33: 29: 26: 22: 18: 332: 328: 322: 297: 293: 287: 252: 248: 238: 197: 193: 183: 150: 146: 136: 119: 110: 71:data science 53:research by 44: 23:by which an 16: 15: 375:Data mining 249:Hippocampus 59:habituation 25:intelligent 354:Categories 147:BioSystems 103:References 128:222201512 21:mechanism 314:17490415 279:21484934 81:See also 28:organism 270:3529001 230:4255887 222:7969425 202:Bibcode 175:3355886 155:Bibcode 92:Outlier 40:utility 36:salient 19:is the 312:  277:  267:  228:  220:  194:Nature 173:  126:  310:S2CID 226:S2CID 275:PMID 218:PMID 171:PMID 124:OCLC 69:and 337:doi 302:doi 265:PMC 257:doi 210:doi 198:372 163:doi 356:: 333:83 331:. 308:. 298:83 296:. 273:. 263:. 253:22 251:. 247:. 224:. 216:. 208:. 196:. 192:. 169:. 161:. 151:21 149:. 145:. 343:. 339:: 316:. 304:: 281:. 259:: 232:. 212:: 204:: 177:. 165:: 157:: 130:.

Index

mechanism
intelligent
organism
sensory pattern
salient
utility
neurophysiology
orienting response
E. N. Sokolov
habituation
radar detection
machine learning
data science
anomaly detection or outlier detection
Change detection
Outlier
Reward system
Sokolov, E.N.
OCLC
222201512
"Models of neural novelty detectors, with similarities to cerebral cortex"
Bibcode
1988BiSys..21...99S
doi
10.1016/0303-2647(88)90003-2
PMID
3355886
"Attentive novelty detection in humans is governed by pre-attentive sensory memory"
Bibcode
1994Natur.372...90T

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