Digitale Bibliotheek
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                             182 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A Computational Model for Color Constancy by Separating Reflectance and Illuminant Edges within a Scene Takebe, Keisuke
1996
29-30 8 p. 1405-1415
11 p.
artikel
2 A computational model for shape estimation by integration of shading and edge information Hayakawa, Hideki
1994
29-30 8 p. 1193-1209
17 p.
artikel
3 A dynamical model for the analysis and acceleration of learning in feedforward networks Ampazis, Nikolaos
2001
29-30 8 p. 1075-1088
14 p.
artikel
4 A hierarchical ART network for the stable incremental learning of topological structures and associations from noisy data Tscherepanow, Marko
2011
29-30 8 p. 906-916
11 p.
artikel
5 A hybrid algorithm for finding the global minimum of error function of neural networks and its applications Baba, Norio
1994
29-30 8 p. 1253-1265
13 p.
artikel
6 A hybrid learning network for shift-invariant recognition Wang, Ruye
2001
29-30 8 p. 1061-1073
13 p.
artikel
7 A just-in-time adaptive classification system based on the intersection of confidence intervals rule Alippi, Cesare
2011
29-30 8 p. 791-800
10 p.
artikel
8 A Kendama Learning Robot Based on Bi-directional Theory Miyamoto, Hiroyuki
1996
29-30 8 p. 1281-1302
22 p.
artikel
9 A kernel-based framework to tensorial data analysis Signoretto, Marco
2011
29-30 8 p. 861-874
14 p.
artikel
10 Algebraic geometrical methods for hierarchical learning machines Watanabe, Sumio
2001
29-30 8 p. 1049-1060
12 p.
artikel
11 A model synapse that incorporates the properties of short- and long-term synaptic plasticity Sargsyan, Armen R
2003
29-30 8 p. 1161-1177
17 p.
artikel
12 A Modified General Regression Neural Network (MGRNN) with new, efficient training algorithms as a robust ‘black box’-tool for data analysis Tomandl, Dirk
2001
29-30 8 p. 1023-1034
12 p.
artikel
13 An approach to guaranteeing generalisation in neural networks Polhill, J.Gary
2001
29-30 8 p. 1035-1048
14 p.
artikel
14 An associative memory including time-variant self-feedback Araki, Kenji
1994
29-30 8 p. 1267-1271
5 p.
artikel
15 An Efficient Method to Construct a Radial Basis Function Neural Network Classifier Hwang, Young-Sup
1997
29-30 8 p. 1495-1503
9 p.
artikel
16 An enhanced self-organizing incremental neural network for online unsupervised learning Furao, Shen
2007
29-30 8 p. 893-903
11 p.
artikel
17 A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering Baykal, Buyurman
1997
29-30 8 p. 1523-1531
9 p.
artikel
18 A neural model of how the brain represents and compares multi-digit numbers: spatial and categorical processes Grossberg, Stephen
2003
29-30 8 p. 1107-1140
34 p.
artikel
19 A neural network simulating human reach–grasp coordination by continuous updating of vector positioning commands Ulloa, Antonio
2003
29-30 8 p. 1141-1160
20 p.
artikel
20 A neurodynamical model for selective visual attention using oscillators Corchs, Silvia
2001
29-30 8 p. 981-990
10 p.
artikel
21 A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers Ueda, Naonori
1994
29-30 8 p. 1211-1227
17 p.
artikel
22 An Extension of the Back-Propagation Algorithm to Complex Numbers Nitta, Tohru
1997
29-30 8 p. 1391-1415
25 p.
artikel
23 An incremental regression method for graph structured data Carozza, Menita
2005
29-30 8 p. 1087-1092
6 p.
artikel
24 A novel approach to extracting features from motif content and protein composition for protein sequence classification Zhao, Xing-Ming
2005
29-30 8 p. 1019-1028
10 p.
artikel
25 A phase code for memory could arise from circuit mechanisms in entorhinal cortex Hasselmo, Michael E.
2009
29-30 8 p. 1129-1138
10 p.
artikel
26 Applications of information storage matrix neural networks Samardzija, Nikola
1993
29-30 8 p. 1159-1167
9 p.
artikel
27 Artificial Immune Systems: A New Computational Intelligence Approach Azuaje, F
2003
29-30 8 p. 1229-
1 p.
artikel
28 A study of performance on microarray data sets for a classifier based on information theoretic learning Porto-Díaz, Iago
2011
29-30 8 p. 888-896
9 p.
artikel
29 A subspace projection approach to feature extraction: The two-dimensional gabor transform for character recognition Shustorovich, Alexander
1994
29-30 8 p. 1295-1301
7 p.
artikel
30 A universal mapping for kolmogorov's superposition theorem Sprecher, David A.
1993
29-30 8 p. 1089-1094
6 p.
artikel
31 Back-propagation learning of infinite-dimensional dynamical systems Tokuda, Isao
2003
29-30 8 p. 1179-1193
15 p.
artikel
32 Behavioral inhibition and prefrontal cortex in decision-making Sakagami, Masamichi
2006
29-30 8 p. 1255-1265
11 p.
artikel
33 Better learning for bidirectional associative memory Zhuang, Xinhua
1993
29-30 8 p. 1131-1146
16 p.
artikel
34 Both motivational and training factors affect response conflict choice performance in rats Haddon, Josephine E.
2006
29-30 8 p. 1192-1202
11 p.
artikel
35 Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics Tanaka, Saori C.
2006
29-30 8 p. 1233-1241
9 p.
artikel
36 BSMART: A Matlab/C toolbox for analysis of multichannel neural time series Cui, Jie
2008
29-30 8 p. 1094-1104
11 p.
artikel
37 Building bridges between neural models and complex decision making behaviour Busemeyer, Jerome R.
2006
29-30 8 p. 1047-1058
12 p.
artikel
38 Call for papers: 2009 IJCNN 2008
29-30 8 p. OBC-
1 p.
artikel
39 Can dictionary-based computational models outperform the best linear ones? Gnecco, Giorgio
2011
29-30 8 p. 881-887
7 p.
artikel
40 Cerebellar development transcriptome database (CDT-DB): Profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum Sato, Akira
2008
29-30 8 p. 1056-1069
14 p.
artikel
41 Chaos in Neural Networks Composed of Coincidence Detector Neurons Watanabe, Masataka
1997
29-30 8 p. 1353-1359
7 p.
artikel
42 Characteristic Functions and Process Identification by Neural Networks Dente, Joaquim A.
1997
29-30 8 p. 1465-1471
7 p.
artikel
43 Characterization of training errors in supervised learning using gradient-based rules Wang, Jun
1993
29-30 8 p. 1073-1087
15 p.
artikel
44 Classification of cortical microcircuits based on micro-electrode-array data from slices of rat barrel cortex Bakker, Rembrandt
2009
29-30 8 p. 1159-1168
10 p.
artikel
45 Computational algorithms and neuronal network models underlying decision processes Sakai, Yutaka
2006
29-30 8 p. 1091-1105
15 p.
artikel
46 Contents/Author index volume 6, 1993 1993
29-30 8 p. I-XI
nvt p.
artikel
47 Contributions of prefrontal cue-, delay-, and response-period activity to the decision process of saccade direction in a free-choice ODR task Watanabe, Kei
2006
29-30 8 p. 1203-1222
20 p.
artikel
48 Controlling chaos in a chaotic neural network He, Guoguang
2003
29-30 8 p. 1195-1200
6 p.
artikel
49 Correspondence 1997
29-30 8 p. 1534-
1 p.
artikel
50 Cortext: A columnar model of bottom-up and top-down processing in the neocortex Schrader, Sven
2009
29-30 8 p. 1055-1070
16 p.
artikel
51 Cortical circuits for perceptual inference Friston, Karl
2009
29-30 8 p. 1093-1104
12 p.
artikel
52 Current Events 2003
29-30 8 p. 1231-1233
3 p.
artikel
53 Current events 1993
29-30 8 p. 1177-1184
8 p.
artikel
54 Current events 2001
29-30 8 p. 1141-1143
3 p.
artikel
55 Current Events 2007
29-30 8 p. I-II
nvt p.
artikel
56 Deducing logical relationships between spatially registered cortical parcellations under conditions of uncertainty Bezgin, Gleb
2008
29-30 8 p. 1132-1145
14 p.
artikel
57 Development and application of a neuroinformatics environment for neuroscience and neuroethology Kazawa, Tomoki
2008
29-30 8 p. 1047-1055
9 p.
artikel
58 Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks Carpenter, Gail A.
1997
29-30 8 p. 1473-1494
22 p.
artikel
59 Divide and Conquer Neural Networks Romaniuk, Steve G.
1993
29-30 8 p. 1105-1116
12 p.
artikel
60 Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit Humphries, Mark D.
2009
29-30 8 p. 1174-1188
15 p.
artikel
61 Dynamical Cell Assembly Hypothesis — Theoretical Possibility of Spatio-temporal Coding in the Cortex Fujii, Hiroshi
1996
29-30 8 p. 1303-1350
48 p.
artikel
62 Editorial 1996
29-30 8 p. 1263-1264
2 p.
artikel
63 Editorial Board 2003
29-30 8 p. IFC-
1 p.
artikel
64 Editorial Board 2011
29-30 8 p. IFC-
1 p.
artikel
65 Editorial Board 2008
29-30 8 p. IFC-
1 p.
artikel
66 Editorial Board 2007
29-30 8 p. IFC-
1 p.
artikel
67 Editorial Board 2009
29-30 8 p. IFC-
1 p.
artikel
68 Editorial Board 2006
29-30 8 p. CO2-
1 p.
artikel
69 Editorial board/Publication Information 2005
29-30 8 p. CO2-
1 p.
artikel
70 Editorial for the special issue ICANN-2010 Diamantaras, Kostas
2011
29-30 8 p. 789-790
2 p.
artikel
71 Effects of Learning Parameters on Learning Procedure and Performance of a BPNN Dai, Hengchang
1997
29-30 8 p. 1505-1521
17 p.
artikel
72 Effects of reward expectancy on sequential eye movements in monkeys Sohn, Jeong-woo
2006
29-30 8 p. 1181-1191
11 p.
artikel
73 Efficient Partition of Learning Data Sets for Neural Network Training Tetko, Igor V.
1997
29-30 8 p. 1361-1374
14 p.
artikel
74 Errata 1994
29-30 8 p. 1323-
1 p.
artikel
75 Estimates of average complexity of neurocontrol algorithms Hrycej, Tomas
2001
29-30 8 p. 1089-1098
10 p.
artikel
76 Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units Kowalczyk, Adam
1997
29-30 8 p. 1417-1433
17 p.
artikel
77 Estimating exogenous variables in data with more variables than observations Sogawa, Yasuhiro
2011
29-30 8 p. 875-880
6 p.
artikel
78 Exploration of a collection of documents in neuroscience and extraction of topics by clustering Naud, Antoine
2008
29-30 8 p. 1205-1211
7 p.
artikel
79 Extended LATER model can account for trial-by-trial variability of both pre- and post-processes Nakahara, Hiroyuki
2006
29-30 8 p. 1027-1046
20 p.
artikel
80 FIND — A unified framework for neural data analysis Meier, Ralph
2008
29-30 8 p. 1085-1093
9 p.
artikel
81 Forward Models for Physiological Motor Control Miall, R.C.
1996
29-30 8 p. 1265-1279
15 p.
artikel
82 Fundamental consideration on self-formation of recognition cells Kobayashi, Kunikazu
1994
29-30 8 p. 1241-1252
12 p.
artikel
83 Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles Pasquier, Michel
2001
29-30 8 p. 1099-1112
14 p.
artikel
84 Genetic algorithm pruning of probabilistic neural networks in medical disease estimation Mantzaris, Dimitrios
2011
29-30 8 p. 831-835
5 p.
artikel
85 GFAM: Evolving Fuzzy ARTMAP neural networks Al-Daraiseh, Ahmad
2007
29-30 8 p. 874-892
19 p.
artikel
86 Global exponential stability of delayed Hopfield neural networks Chen, Tianping
2001
29-30 8 p. 977-980
4 p.
artikel
87 Glomerular microcircuits in the olfactory bulb Linster, Christiane
2009
29-30 8 p. 1169-1173
5 p.
artikel
88 G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics Herz, Andreas V.M.
2008
29-30 8 p. 1070-1075
6 p.
artikel
89 Goal-based action selection and utility-based action bias Matsumoto, Kenji
2006
29-30 8 p. 1315-1320
6 p.
artikel
90 Graph kernels for chemical informatics Ralaivola, Liva
2005
29-30 8 p. 1093-1110
18 p.
artikel
91 Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning Haruno, Masahiko
2006
29-30 8 p. 1242-1254
13 p.
artikel
92 Hippocampal LTP Depends on Spatial and Temporal Correlation of Inputs Tsukada, Minoru
1996
29-30 8 p. 1357-1365
9 p.
artikel
93 Hippocampus, microcircuits and associative memory Cutsuridis, Vassilis
2009
29-30 8 p. 1120-1128
9 p.
artikel
94 Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making Frank, Michael J.
2006
29-30 8 p. 1120-1136
17 p.
artikel
95 How to make sigma-pi neural networks perform perfectly on regular training sets Lenze, Burkhard
1994
29-30 8 p. 1285-1293
9 p.
artikel
96 Imaging a Computational Process in the Visual Cortex Toyama, Keisuke
1996
29-30 8 p. 1351-1356
6 p.
artikel
97 Implications of synaptic biophysics for recurrent network dynamics and active memory Durstewitz, Daniel
2009
29-30 8 p. 1189-1200
12 p.
artikel
98 Improving back propagation with a new error function Humpert, Benedikt K.
1994
29-30 8 p. 1191-1192
2 p.
artikel
99 Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets Maronidis, Anastasios
2011
29-30 8 p. 814-823
10 p.
artikel
100 Information processing in dendrites Gurney, Kevin N
2001
29-30 8 p. 991-1004
14 p.
artikel
101 Information processing in dendrites Gurney, Kevin N
2001
29-30 8 p. 1005-1022
18 p.
artikel
102 INNS/ENNS.JNNS membership 2001
29-30 8 p. I-
1 p.
artikel
103 Instructions to authors 2001
29-30 8 p. II-III
nvt p.
artikel
104 Interpolating vectors for robust pattern recognition Fukushima, Kunihiko
2007
29-30 8 p. 904-916
13 p.
artikel
105 Introduction to the theory of neural computation 1994
29-30 8 p. 1325-1327
3 p.
artikel
106 Learning protein secondary structure from sequential and relational data Ceroni, Alessio
2005
29-30 8 p. 1029-1039
11 p.
artikel
107 LVQ algorithm with instance weighting for generation of prototype-based rules Blachnik, Marcin
2011
29-30 8 p. 824-830
7 p.
artikel
108 Memory and Learning of Sequential Patterns by Nonmonotone Neural Networks Morita, Masahiko
1996
29-30 8 p. 1477-1489
13 p.
artikel
109 Microcircuits — Their structure, dynamics and role for brain function Cutsuridis, Vassilis
2009
29-30 8 p. 1037-1038
2 p.
artikel
110 Minimum-cost associative processor for piecewise-hyperspherical classification Telfer, Brian A.
1993
29-30 8 p. 1117-1130
14 p.
artikel
111 Modeling and formulating fuzzy knowledge bases using neural networks Yager, Ronald R.
1994
29-30 8 p. 1273-1283
11 p.
artikel
112 Modeling contextual modulation in the primary visual cortex Huang, Wentao
2008
29-30 8 p. 1182-1196
15 p.
artikel
113 Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment Ohigashi, Yu
2006
29-30 8 p. 1169-1180
12 p.
artikel
114 Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization Xu, Rui
2007
29-30 8 p. 917-927
11 p.
artikel
115 Modeling the role of basal ganglia in saccade generation: Is the indirect pathway the explorer? Krishnan, R.
2011
29-30 8 p. 801-813
13 p.
artikel
116 Model of competitive learning based upon a generalized energy function Masuda, Tadashi
1993
29-30 8 p. 1095-1103
9 p.
artikel
117 Multiple training concept for back-propagation neural networks for use in associative memories Wang, Yeou-Fang
1993
29-30 8 p. 1169-1175
7 p.
artikel
118 Myopotential denoising of ECG signals using wavelet thresholding methods Cherkassky, Vladimir
2001
29-30 8 p. 1129-1137
9 p.
artikel
119 Necessary and sufficient condition for absolute stability of normal neural networks Chu, Tianguang
2003
29-30 8 p. 1223-1227
5 p.
artikel
120 Network mechanisms of gamma oscillations in the CA3 region of the hippocampus Hájos, Norbert
2009
29-30 8 p. 1113-1119
7 p.
artikel
121 Neural independent component analysis by ‘maximum-mismatch’ learning principle Fiori, Simone
2003
29-30 8 p. 1201-1221
21 p.
artikel
122 Neural mechanism for stochastic behaviour during a competitive game Soltani, Alireza
2006
29-30 8 p. 1075-1090
16 p.
artikel
123 Neural network based pattern matching and spike detection tools and services — in the CARMEN neuroinformatics project Fletcher, Martyn
2008
29-30 8 p. 1076-1084
9 p.
artikel
124 Neural network control for automatic braking control system Ohno, Hiroshi
1994
29-30 8 p. 1303-1312
10 p.
artikel
125 Neural Network Model of the Visual System: Binding Form and Motion KIKUCHI, MASAYUKI
1996
29-30 8 p. 1417-1427
11 p.
artikel
126 Neural Network Smoothing in Correlated Time Series Context Badran, F.
1997
29-30 8 p. 1445-1453
9 p.
artikel
127 Neural systems implicated in delayed and probabilistic reinforcement Cardinal, Rudolf N.
2006
29-30 8 p. 1277-1301
25 p.
artikel
128 Neural voting machines Richards, Whitman
2006
29-30 8 p. 1161-1167
7 p.
artikel
129 Neurobiology of decision making Funahashi, Shintaro
2006
29-30 8 p. 977-979
3 p.
artikel
130 Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system Bjaalie, Jan G.
2008
29-30 8 p. 1045-1046
2 p.
artikel
131 Neuromorphic VLSI vision system for real-time texture segregation Shimonomura, Kazuhiro
2008
29-30 8 p. 1197-1204
8 p.
artikel
132 Neuronal population oscillations of rat hippocampus during epileptic seizures Li, Xiaoli
2008
29-30 8 p. 1105-1111
7 p.
artikel
133 Neuropsychological correlates of decision-making in ambiguous and risky situations Brand, Matthias
2006
29-30 8 p. 1266-1276
11 p.
artikel
134 Notions of Associative Memory and Sparse Coding Okada, Masato
1996
29-30 8 p. 1429-1458
30 p.
artikel
135 Online classification of visual tasks for industrial workflow monitoring Voulodimos, Athanasios
2011
29-30 8 p. 852-860
9 p.
artikel
136 On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks Baldi, Pierre
2005
29-30 8 p. 1080-1086
7 p.
artikel
137 Parallel hardware implementation of Kohonen's algorithm with an active medium Ruwisch, Dietmar
1993
29-30 8 p. 1147-1157
11 p.
artikel
138 Proving Hardness of Neural Network Training Problems Schmitt, Michael
1997
29-30 8 p. 1533-1534
2 p.
artikel
139 Publishers note 2001
29-30 8 p. 1139-
1 p.
artikel
140 Rapid decision threshold modulation by reward rate in a neural network Simen, Patrick
2006
29-30 8 p. 1013-1026
14 p.
artikel
141 Real time distributed processing of multiple associated pulse pattern sequences Travis, A.J.B
2001
29-30 8 p. 1113-1127
15 p.
artikel
142 Recurrent neural network architecture with pre-synaptic inhibition for incremental learning Ohta, Hiroyuki
2006
29-30 8 p. 1106-1119
14 p.
artikel
143 Recurrent neural networks with trainable amplitude of activation functions Goh, Su Lee
2003
29-30 8 p. 1095-1100
6 p.
artikel
144 Recursive neural networks for processing graphs with labelled edges: theory and applications Bianchini, M.
2005
29-30 8 p. 1040-1050
11 p.
artikel
145 Recursive principal components analysis Voegtlin, Thomas
2005
29-30 8 p. 1051-1063
13 p.
artikel
146 Reliable prediction intervals with regression neural networks Papadopoulos, Harris
2011
29-30 8 p. 842-851
10 p.
artikel
147 Representation of Visual Features of Objects in the Inferotemporal Cortex Tanaka, Keiji
1996
29-30 8 p. 1459-1475
17 p.
artikel
148 Retrieval process of an associative memory with a general input-output function Nishimori, Hidetoshi
1993
29-30 8 p. 1061-1067
7 p.
artikel
149 Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme Hoshino, Osamu
1997
29-30 8 p. 1375-1390
16 p.
artikel
150 Self-organizing maps: Local competition and evolutionary optimization Jockusch, Stefan
1994
29-30 8 p. 1229-1239
11 p.
artikel
151 Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit Scorcioni, Ruggero
2008
29-30 8 p. 1153-1163
11 p.
artikel
152 Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning Poon, Chi-Sang
1996
29-30 8 p. 1367-1383
17 p.
artikel
153 Shape representation by a network of V4-like cells Murphy, Thomas M.
2007
29-30 8 p. 851-867
17 p.
artikel
154 Single trial-based prediction of a go/no-go decision in monkey superior colliculus Hasegawa, Ryohei P.
2006
29-30 8 p. 1223-1232
10 p.
artikel
155 Snap–drift neural network for self-organisation and sequence learning Palmer-Brown, Dominic
2011
29-30 8 p. 897-905
9 p.
artikel
156 Soft computing techniques toward modeling the water supplies of Cyprus Iliadis, L.
2011
29-30 8 p. 836-841
6 p.
artikel
157 Solving the XOR problem and the detection of symmetry using a single complex-valued neuron Nitta, Tohru
2003
29-30 8 p. 1101-1105
5 p.
artikel
158 Some new results on neural network approximation Hornik, K.
1993
29-30 8 p. 1069-1072
4 p.
artikel
159 Some numerical aspects of the training problem for feed-forward neural nets J. McKeown, John.
1997
29-30 8 p. 1455-1463
9 p.
artikel
160 Spatial attention in area V4 is mediated by circuits in primary visual cortex Tiesinga, Paul H.
2009
29-30 8 p. 1039-1054
16 p.
artikel
161 Spatiotemporal dynamics in the cortical microcircuit: A modelling study of primary visual cortex layer 2/3 Symes, Andrew
2009
29-30 8 p. 1079-1092
14 p.
artikel
162 Special issue on neural networks and kernel methods for structured domains Hammer, Barbara
2005
29-30 8 p. 1015-1018
4 p.
artikel
163 Stability Analysis of Learning Algorithms for Blind Source Separation Amari, Shun-ichi
1997
29-30 8 p. 1345-1351
7 p.
artikel
164 Stability constraints for the distributed control of motor behavior Dornay, Menashe
1993
29-30 8 p. 1045-1059
15 p.
artikel
165 Stability of Cohen–Grossberg neural networks with time-varying delays Huang, Tingwen
2007
29-30 8 p. 868-873
6 p.
artikel
166 Stochastic models of decisions about motion direction: Behavior and physiology Ditterich, Jochen
2006
29-30 8 p. 981-1012
32 p.
artikel
167 Testing synergetic algorithms with industrial classification problems Wagner, T.
1994
29-30 8 p. 1313-1321
9 p.
artikel
168 The computational brain Govindarajan, Sriram
1994
29-30 8 p. 1329-1332
4 p.
artikel
169 The context-tree kernel for strings Cuturi, Marco
2005
29-30 8 p. 1111-1123
13 p.
artikel
170 The Emergent neural modeling system Aisa, Brad
2008
29-30 8 p. 1146-1152
7 p.
artikel
171 The first second: Models of short-term memory traces in the brain Maex, Reinoud
2009
29-30 8 p. 1105-1112
8 p.
artikel
172 The loading problem for recursive neural networks Gori, Marco
2005
29-30 8 p. 1064-1079
16 p.
artikel
173 The misbehavior of value and the discipline of the will Dayan, Peter
2006
29-30 8 p. 1153-1160
8 p.
artikel
174 The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study Igarashi, Yasunobu
2006
29-30 8 p. 1137-1152
16 p.
artikel
175 The state of MIIND de Kamps, Marc
2008
29-30 8 p. 1164-1181
18 p.
artikel
176 The time course of saccadic decision making: Dynamic field theory Wilimzig, Claudia
2006
29-30 8 p. 1059-1074
16 p.
artikel
177 Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons Stäger, Fritz
1997
29-30 8 p. 1435-1443
9 p.
artikel
178 Topology and dynamics of the canonical circuit of cat V1 Binzegger, T.
2009
29-30 8 p. 1071-1078
8 p.
artikel
179 Two forms of feedback inhibition determine the dynamical state of a small hippocampal network Zeldenrust, Fleur
2009
29-30 8 p. 1139-1158
20 p.
artikel
180 Variational Bayesian least squares: An application to brain–machine interface data Ting, Jo-Anne
2008
29-30 8 p. 1112-1131
20 p.
artikel
181 Varieties of Helmholtz Machine Dayan, Peter
1996
29-30 8 p. 1385-1403
19 p.
artikel
182 Weighing up the benefits of work: Behavioral and neural analyses of effort-related decision making Walton, M.E.
2006
29-30 8 p. 1302-1314
13 p.
artikel
                             182 gevonden resultaten
 
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