Neural network analysis of the P300 event-related potential in multiple sclerosis.

[1]  F Y Wu,et al.  A neural network design for event-related potential diagnosis. , 1993, Computers in biology and medicine.

[2]  Jeremy D. Slater,et al.  Feature extraction of event-related potential waveforms by neural networks , 1993, IEEE International Conference on Neural Networks.

[3]  H. G. Vaughan,et al.  Endogenous event-related potentials as indices of dementia in multiple sclerosis patients. , 1992, Electroencephalography and clinical neurophysiology.

[4]  A. F. Rocha,et al.  Neural Nets and Fuzzy Logic , 1992 .

[5]  D. Goodin,et al.  Effect of Different High‐Pass Filters on the Long‐Latency Event‐Related Auditory Evoked Potentials in Normal Human Subjects and Individuals Infected with the Human Immunodeficiency Virus , 1992, Journal of clinical neurophysiology.

[6]  Kishan G. Mehrotra,et al.  Bounds on the number of samples needed for neural learning , 1991, IEEE Trans. Neural Networks.

[7]  G.R. Gindi,et al.  Neural network and conventional classifiers for fluorescence-guided laser angioplasty , 1991, IEEE Transactions on Biomedical Engineering.

[8]  Jocelyn Sietsma,et al.  Creating artificial neural networks that generalize , 1991, Neural Networks.

[9]  Sholom M. Weiss,et al.  Computer Systems That Learn , 1990 .

[10]  E. Halgren,et al.  The intracranial topography of the P3 event-related potential elicited during auditory oddball. , 1990, Electroencephalography and clinical neurophysiology.

[11]  F E Bloom,et al.  P300 assessment of early Alzheimer's disease. , 1990, Electroencephalography and clinical neurophysiology.

[12]  G. Barrett,et al.  Cognitive event-related potentials in multiple sclerosis. , 1989, Brain : a journal of neurology.

[13]  J. T. Marsh,et al.  Longitudinal P300 latency changes in Alzheimer's disease. , 1989, Journal of gerontology.

[14]  J. Jacquy,et al.  [The value of cognitive evoked potentials in the diagnosis of senile dementia and dementia of Parkinson disease]. , 1989, Acta Neurologica Belgica.

[15]  P. Gallois,et al.  [Cortical and subcortical dementia. The value of long auditory evoked potentials]. , 1989, Acta Neurologica Belgica.

[16]  C. Epstein,et al.  Principles of signal analysis and averaging. , 1988, Neurologic clinics.

[17]  Nelson Morgan,et al.  Applications of neural-network (NN) signal processing in brain research , 1988, IEEE Trans. Acoust. Speech Signal Process..

[18]  R. Lippmann,et al.  An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.

[19]  A S Gevins,et al.  Human neuroelectric patterns predict performance accuracy. , 1987, Science.

[20]  E. Gordon,et al.  The prediction of normal P3 latency and the diagnosis of dementia , 1986, Neuropsychologia.

[21]  Alan S. Gevins,et al.  Classifier-Directed Signal Processing in Brain Research , 1986, IEEE Transactions on Biomedical Engineering.

[22]  M. Velasco,et al.  Subcortical correlates of the P300 potential complex in man to auditory stimuli. , 1986, Electroencephalography and clinical neurophysiology.

[23]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[24]  A S Gevins,et al.  Improved event-related potential estimation using statistical pattern classification. , 1986, Electroencephalography and clinical neurophysiology.

[25]  Henri Begleiter,et al.  Evoked Potential Primer , 1986 .

[26]  F E Bloom,et al.  P300 latency reflects the degree of cognitive decline in dementing illness. , 1986, Electroencephalography and clinical neurophysiology.

[27]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[28]  C C Wood,et al.  Intracranial recordings of endogenous ERPs in humans. , 1985, Electroencephalography and clinical neurophysiology. Supplement.

[29]  P. Anandan,et al.  Pattern-recognizing stochastic learning automata , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[30]  K. Squires,et al.  Long latency event-related components of the auditory evoked potential in dementia. , 1978, Brain : a journal of neurology.

[31]  Ray A. Jarvis,et al.  Clustering Using a Similarity Measure Based on Shared Near Neighbors , 1973, IEEE Transactions on Computers.

[32]  E. John,et al.  Evoked-Potential Correlates of Stimulus Uncertainty , 1965, Science.

[33]  L S Honig,et al.  Event-related potential P300 in multiple sclerosis. Relation to magnetic resonance imaging and cognitive impairment. , 1992, Archives of neurology.

[34]  Jeremy D. Slater,et al.  Neural networks for EEG diagnosis , 1992 .

[35]  F Y Wu,et al.  A PC-based neural network for on-line measurement of regional cerebral blood flow. , 1992, Computers in biology and medicine.

[36]  D T Freeman,et al.  Computer recognition of brain stem auditory evoked potential wave V by a neural network. , 1992, The Annals of otology, rhinology, and laryngology.

[37]  David Haussler,et al.  What Size Net Gives Valid Generalization? , 1989, Neural Computation.

[38]  M. B. Merickel,et al.  Translation-invariant aorta segmentation from magnetic resonance images , 1989, International 1989 Joint Conference on Neural Networks.

[39]  P. Gallois,et al.  Démences corticales et sous-corticales. Intérêt des potentiels évoqués auditifs tardifs. , 1989 .

[40]  D. P. Gluch,et al.  Real-time artificial neural network computing systems , 1989 .

[41]  I. Kiss,et al.  A parieto-occipital generator for P300: evidence from human intracranial recordings. , 1989, The International journal of neuroscience.

[42]  Terrence J. Sejnowski,et al.  Analysis of hidden units in a layered network trained to classify sonar targets , 1988, Neural Networks.

[43]  C. Barber,et al.  Evoked potentials III , 1987 .

[44]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

[45]  A. A. Mullin,et al.  Principles of neurodynamics , 1962 .