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Index 319
INNS. See International Neural Network Society in nonstationary environments, 250e254
(INNS) active adaptation modality, 252e253
Input-output-hidden trilogy, 192 passive adaptation modality, 251e252
Integrate-and-Fire Models (IFM), 121 research challenges, 253e254
Integrative analysis, 269 parameter values of ANN through evolution,
Integrative clustering methods, 270e272 116e117
Intelligence in human brains, 215 Least mean square algorithm (LMS algorithm),
Interactionist dualism, 80e81 3e5, 11e12, 60, 63e64, 71e72
Intermittent transients, 211 LeCun’s LeNet convolutional networks, 208e210
Internal representations, 195 Leonardo’s robot, 205e206
International Joint Conferences on Neural LGN. See Lateral geniculate nucleus (LGN)
Networks (IJCNN), 162, 194 Lifestyle and transactions, 107
International Neural Network Society (INNS), Linear filters, 251
162, 191, 206e207 LIQ. See Logical-IQ (LIQ)
Internet of Things (IoT), 164, 220 LIST PARSE model, 44
malware Mirai, 257 LMS algorithm. See Least mean square algorithm
need for paradigm for, 164 (LMS algorithm)
technologies, 253e254 Local coupling, 213e214
Interpeak interval (IPI), 287 Logic systems and rules, 113
Inverse Total Enrichment Score (TES), 272 Logical-IQ (LIQ), 54
Inverse Visual Question Answering, 287e288 Long Short Term Memory (LSTM), 293
IoT. See Internet of Things (IoT) architecture evolution, 300e301
IPI. See Interpeak interval (IPI) evolving DNNs in language modeling
IT. See Information technology (IT) benchmark, 301
Item-list resonances, 46e47 extending CoDeepNEAT, 300e301
Long short-term memories, 208e210
J Long-term depression (LTD), 126
John Von Neumann Ergodicity principle, Long-term memory (LTM), 45, 192, 284
56e57 Long-term potentiation (LTP), 126
Lorenz attractor, 108
K LSTM. See Long Short Term Memory (LSTM)
K-means clustering, 20e21 LTD. See Long-term depression (LTD)
Kelso’s complementary principle, 214e215, 214t LTM. See Long-term memory (LTM)
Knobby Adaline, 4f LTP. See Long-term potentiation (LTP)
Knowledge representation and reasoning, Ludwig Boltzmann entropy, 63
112e113
Knowledge-based neural networks, 208 M
Komogorov triplet, 65 Machine learning, 250, 273e274
Magnetic resonance imaging (MRI), 273e274,
L 276e277
Magnetoencephalography (MEG), 226, 232.
Laminar computing, 35, 40e41
See also Electroencephalography (EEG)
LAMINART architecture, 40e41, 44f
Massively parallel distributed computing archi-
Langevin equation, 64e65
tecture (MPD computing architecture),
Language modeling benchmark
54e55, 62, 66
best-performing LSTM variant, 302f
Materialistic monism, 80
evolving DNNs in, 301
MaxwelleBoltzmann homeostasis, 61e63
Lateral geniculate nucleus (LGN), 40e41
McCulloch and Pitts neuron, 114, 192
Lateral inhibition or competition, 193
McFIS. See Metacognitive neurofuzzy inference
Layered neural network, 17f
system (McFIS)
LEABRA equations, 196
MCI. See Mild Cognitive Impairment (MCI)
Learning, 10. See also Deep learning (DL)
Mean square error, 16
algorithm, 15