Abstract
An overview is given of recent results coming from non-invasive brain imaging (PET, fMRI, EEG & MEG), and how these relate to, and illuminate, the underpinning neural networks. The main techniques are briefly surveyed and data analysis techniquest that are presently being used are reviewed. The results of the experiments are then summarised. The most important recent technique used in analysing PET and fMRI, that of structural modelling, is briefly described, results arising from it presented, and the problems this approach presents in bridging the gap to the underlying neural networks of the brain described. New neural networks approaches are summarised which are arising from these and related results, especially associated with internal models. The relevance of these for indicating future directions for the development of intelligent systems concludes the article.
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References
Proceedings of the colloquium “Neuroimaging of Human Brain Function”, Proc Natl Acad Sei USA, vol 95, February, 1998.
Posner M and Raichle ME (1994) Images of Mind, San Francisco: Freeman & Co
Ungerleider LG, Courtney SM & Haxby JVA neural system for human visual working memory Proc Natl Acad Sei USA 95, 883–890
Yang X, Hyder F & Shulman RG (1997) Functional MRI BOLD Signal Coincides with Electrical Activity in the Rat Whisker Barrels, NeuroReport 874–877
Raichle M E (1998) Behind the scenes of functional brain imaging: A historical and physiological perspective. Proc Natl Acad Sei USA 95,765–772
Bti, Ltd, San Diego, CA
NEC, private communication from A A Ioannides
Talairach J & Tournoux P (1988) Co-planar steroetaxic atlas of the human brain. Stuttgart: G Thieme.
Schmitz N., Taylor J.G., Shah N.J., Ziemons K., Gruber O., Grosse-Ruyken M.L. & Mueller-Gaertner H-W. (1998) The Search for Awareness by the Motion After-Effect, Human Brain Mapping Conference ’98, Abstract
Gold S, Christian B, Arndt S, Zeien G, Cizadio T, Johnoson DL, Flaum M & Andreason NC (1998) Functional MRI Statistical Software Packages: A Comparative Analysis. Human Brain Mapping 6,73–84
D Gembris, S Posse, JG Taylor, S Schor et al (1998) Methodology of fast Correlation Analysis for Real-Time fMRI Experiments, submitted.
Ioannides AA (1995) in Quantitative & Topological EEG and MEG Analysis, Jena: Druckhaus-Mayer GmbH
Taylor JG, Ioannides AA, Mueller-Gaertner H-W (1999) Mathematical Analysis of Lead Field Expansions, IEEE Trans on Medical Imaging.
Taylor JG, Krause BJ, Shah NJ, Horwitz B & Mueller-Gaertner H-W (1998) On the Relation Between Brain Images and Brain Neural Networks, submitted.
Cabeza R & Nyburg L (1997) Imaging Cognition. J Cog Neuroscience 9,1–26
Gabrieli JDE, Poldrack RA & Desmond JE (1998)The role of left prefrontal cortex in memory Proc Natl Acad Sei USA, 95,906–13
Mcintosh AR, Grady CL, Ungerleider LG, Haxby JV, Rapoport SI & Horwitz B (1994) Network analysis of cortical visual pathways mapped with PET, J Neurosci 14, 655–666
Horwitz B, Mcintosh AR, Haxby JV, Furey M, Salerno JA, Schapiro MB, Rapoport SI & Grdy CL (1995) Network analysis of PET-mapped visual pathways in Alzheimer type dementia, NeuroReport 6, 2287–2292
Mcintosh AR, Grady CL, Haxby J, Ungerleider LG & Horwitz B (1996) Changes in Limbic and Prefrontal Functional Interactions in a Working Memory Task for Faces. Cerebral Cortex 6, 571–584
Krause BJ, Horwitz B, Taylor JG, Schmidt D, Mottaghy F, Halsband U, Herzog H, Tellman L & Mueller-Gaertner H-W (1999) Network Analysis in Episodic Encoding and Retrieval of Word Pair Associates: A PET Study. Eur J Neuroscience 4/99 (in press).
Taylor JG, Krause BJ, Horwitz B & Mueller-Gaertner H-W (1998) Modeling Memory-Based Tasks, in preparation
Tulving E, Kapur S, Craik FIM, Moscovitch M & Houles S (1995) Hemispheric encoding retrieval asymmetry in epsodic memory: Positron emission tomography findings. Proc Natl Acad Sei USA 91, 2016–20.
Cohen JD, Perlstein WM, Braver TS, Nystrom LE, Noll DC, Jonides J& Smith BB (1997) Temporal dynamics of brain activation during a working memory task. Nature 386, 604–608
Bullmore E, Horwitz B, Morris RG, Curtis VA, McGuire PK, Sharma T, Williams SCR, Murray RM & Brammer MJ (1998) Causally connected cortical networks for language in functional (MR) brain images of normal and schizophrenic subjects, submitted to Neuron
Frith CD (1992) The Cognitive Neuropsychology of Schizophrenia. Hove UK: L Erlbaum Assoc.
Taylor JG & Taylor N (1998) Hard wired models of working memory and temporal sequence storage and generation. Neural Networks (to appear).
Monchi B & Taylor JG (1998) A hard-wired model of coupled frontal working memories for various tasks. Information Sciences (in press).
Taylor JG (1999) ‘The Central Representation’, Proc IJCNN99
Wolpert DM, Ghahramani Z & Jordan M (1996) An Internal Model for Sensorimotor Integration. Science 269:1880–2
Jacobs OLR (1993) Introduction to Control Theory (2nd ed). Oxford: Oxford University Press.
Sirigu A, Duhamel J-R, Cohen L, Pillon B, DuBois B & Agid Y (1996) The Mental Representation of Hand Movements After Parietal Cortex Damage. Science 273:1564–8.
Wolpert DM, Goodbody SJ & Husain M (1998) Maintaining internal representations: the role of the human superior parietal lobe. Nature neuroscience 1:529–534
Baddeley A (1986) Working Memory. Oxford: Oxford University Press.
Salmon E, Van der Linden, Collette F, Delfiore G, Maquet P, Degueldre C, Luxen A & Franck G (1996) Regional brain activity during working memory tasks. Brain 119:1617–1625
Carpenter PA, Just MA, Keller TA, Eddy W & Thulborn B (1999) Graded Functional Activation in the Visuospatial System with the Amount of Task Demand. J Cognitive Neuroscience 11:9–24.
Taylor NT & Taylor JG (1999) Temproal Sequence Storage in a Model of the Frontal Lobes. Neural Networks (to appear)
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Taylor, J.G. (2000). Future Directions for Neural Networks and Intelligent Systems from the Brain Imaging Research. In: Kasabov, N. (eds) Future Directions for Intelligent Systems and Information Sciences. Studies in Fuzziness and Soft Computing, vol 45. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1856-7_10
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DOI: https://doi.org/10.1007/978-3-7908-1856-7_10
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