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Original Article

Modelling Hebbian cell assemblies comprised of cortical neurons

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Pages 105-119 | Received 17 Jul 1991, Published online: 09 Jul 2009

References

  • Hebb D. O. The Organization of Behavior. John Wiley, New York 1949
  • Rochester N., Holland J., Haibt L., Duda W. Tests on a cell assembly theory of the action of the brain, using a large digital computer. IRE Trans. Inform. Theory 1956; IT-2: 80–93
  • MacGregor R., McMullen T. Computer simulation of diffusely connected neuronal populations. Biol. Cybern. 1978; 28: 121–7
  • Milner P. M. The cell assembly: Mark II. Psychol. Rev. 1957; 64: 242–52
  • Braitenberg V. Cell assemblies in the cerebral cortex. Theoretical Approaches to Complex Systems, R. Heim, G. Palm. Springer, Berlin 1978; 171–88
  • Palm G. Neural Assemblies. An Alternative Approach to Artificial Intelligence. Springer, Berlin 1982
  • Gilbert C. D., Hirsch J. A., Wiesel T. N. Lateral interactions in visual cortex. Cold Spring Harbor Symposia on Quantitative Biology. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY 1990; LV: 663–76
  • Miyashita Y., Chang H. S. Neuronal correlate of pictorial short-term memory in the primate temporal cortex. Nature 1988; 331: 68–70
  • Funahashi S., Bruce C. J., Goldman-Rakic P. S. Visuospatial coding in primate prefrontal neurons revealed by oculomotor paradigms. J. Neurophysiol. 1990; 63: 814–31
  • Miyashita Y. Neuronal correlate of visual associative long-term memory in the primate temporal cortex. Nature 1988; 335: 817–20
  • Palm G. Cell assemblies as a guideline for brain research. Concepts in Neuroscience 1990; 1: 133–47
  • Singer W. Search for coherence: A basic principle of cortical self-organization. Concepts in Neuroscience 1990; 1: 1–26
  • Haberly L. B. Neuronal circuitry in olfactory cortex: Anatomy and functional implications. Chem. Sens. 1985; 10: 219–38
  • Rolls E. T. Principles underlying the representation and storage of information in neuronal networks in the primate hippocampus and cerebral cortex. An Introduction to Neural and Electronic Networks, S. F. Zornetzer, J. L. Davis, C. Lau. Academic, New York 1990; 73–90
  • Kohonen T. Correlation matrix memories. IEEE Trans. Comput. 1972; C-21: 353–9
  • Willshaw D. J., Longuet-Higgins H. C., Buneman O. P. Non-holographic associative memory. Nature 1969; 222: 960
  • Hopfield J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl Acad. Sci. USA 1982; 79: 2554–8
  • Smolensky P. Information processing in dynamical systems: Foundations of harmony theory. Parallel Distributed Processing, D. E. Rumelhart, J. L. McClelland. MIT Press, Cambridge, MA 1986; 1: 195–281
  • Lansner A., Ekeberg Ö. A one-layer feedback, artificial neural network with a Bayesian learning rule. Int. J. Neural Systems 1989; 1: 77–87
  • Kleinfeld D., Raccuia-Behling F., Chiel H. J. Circuits constructed from identified aplysia neurons exhibit multiple patterns of persistent activity. Biophysical J. 1990; 57: 697–715
  • Smolensky P. Connectionist modeling: Neural computation/ mental connections. Neural Connections, Mental Computation, L. Nadel, L. A. Cooper, P. Culicover, R. M. Harnish. MIT Press, Cambridge, MA 1989; 49–67
  • Amari S-I. Characteristics of sparsely encoded associative memory. Neural Networks 1990; 2: 451–7
  • Lansner A. A recurrent Bayesian ANN capable of extracting prototypes from unlabeled noisy examples. Proc. of ICANN-91 1991; 247–55, (Helsinki, June 1991) (Amsterdam: Elsevier)
  • Lanser A. Information processing in a network of model neurons. A computer simulation study. Dept of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm 1982, Tech. Rep., TRITA-NA-8211
  • Fransén E., Lansner A. (1990) Modelling Hebbian cell assemblies comprised of cortical neurons. Proc. Open Network Conf. on Neural Mechanisms of Learning and Memory. April, 1990. London, 4: 9
  • Ekeberg Ö, Stensmo M., Lansner A. SWIM-a simulator for real neural networks. Dept of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm 1990, Tech. Rep., TRITA-NA-P9014
  • Ekeberg Ö, Wallén P., Lansner A., Travén H., Brodin L., Grillner S. A computer based model for realistic simulations of neural networks. I: The single neuron and synaptic interaction. Biol. Cybern. 1991; 65: 81–90
  • McCormick D. A., Connors B. W., Lighthall J. W. Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J. Neurophysiol. 1985; 54: 782–806
  • Kandel E. R., Spencer W. A. Electrophysiology of hippocampal neurons: II. After-potentials and repetetive firing. J. Neurophysiol. 1961; 24: 243–59
  • Bush P. C., Douglas R. J. Synchronization of bursting action potential discharge in a model network of neocortical neurons. Neural Computation 1991; 3: 19–30
  • Grillner S., Wallén P., Brodin L., Lansner A. Neuronal network generating locomotor behaviour in Lamprey: Circuitry, transmitters, membrane properties, and simulation. Ann. Rev. Neurosci. 1991; 14: 169–99
  • Brodin L., Travén H., Lansner A., Wallén P., Ekeberg Ö, Grillner S. Computer simulations of N-methyl-D-aspartate (NMDA) receptor induced membrane properties in a neuron model. J. Neurophysiol. 1991; 66: 473–84
  • Getting P. A., Willows A. O. D. Burst formation in electrically coupled neurons. Brain Res. 1973; 63: 424–9
  • Freeman W., Skarda C. Spatial EEG patterns, non-linear dynamics and perception: the neo-Scherringtonian view. Brain Res. Rev. 1985; 10: 147–75
  • Eckhorn R., Bauer R., Jordan W., Brosch W., Kruse W., Munk M., Reitboeck H. J. Coherent oscillations: A mechanism for feature linking in the visual cortex. Biol. Cybern. 1988; 60: 121–30
  • Gray C. M., Singer W. Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl Acad. Sci. USA 1989; 86: 1698–702
  • Bower J. M. Reverse engineering the nervous system: An anatomical, physiological, and computer-based approach. An Introduction to Neural and Electronic Networks, S. F. Zornetzer, J. L. Davis, C. Lau. Academic, New York 1990; 3–24
  • Thorpe S., Imbert M. Biological constraints on connectionist modelling. Connectionism in Perspective, R. Pfeifer. Springer, Berlin 1989; 1–36
  • Levin B., Hammarlund P., Lansner A. BIOSIM, a program for biologically realistic neural network simulations on the Connection Machine. Dept of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm 1990, Tech. Rep., TRITA-NA-9021

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