List of publications

Papers published in international journals and books

Wallén P. and Lansner A., (1984).: Do the motoneurons constitute a part of the spinal network generating the swimming rhythm in the lamprey.; J. Exp. Biol. 113: 493-497.
Lansner A. and Ekeberg Ö., (1985).: Reliability and speed of recall in an associative network.; IEEE Trans. Pattern Analysis and Machine Intelligence 7: 490-498.
Ekeberg Ö., (1988).: Robust dictionary lookup using associative networks.; Int. J. Man-Machine Studies 28: 29-43.
Grillner S., Buchanan J. T. and Lansner A., (1988).: Simulation of the segmental burst generating network for locomotion in lamprey.; Neurosci. Lett. 89: 31-35.
Grillner S., Lansner A., Wallén P., Brodin L., Ekeberg Ö., Tråvén H. and Christenson J., (1988).: The segmental burst generating network used in lamprey locomotion - experiments and simulations.; In: Cell to Cell Signalling: From experiments to Theoretical Models, edited by A. Goldbeter. London: Academic Press, p. 77-87.
Grillner S., Christenson J., Brodin L., Wallén P., Lansner A., Hill R. and Ekeberg Ö., (1989).: The locomotor system in lamprey - neuronal mechanisms controlling spinal rhythm generation.; In: Neuronal and Cellular Oscillators, edited by J. W. Jacklet. New York: Marcel Dekker, Inc, p. 407-434.
Lansner A. and Ekeberg Ö., (1989).: A one-layer feedback artificial neural network with a bayesian learning rule.; Int. J. Neural Systems 1: 77-87.
Lansner A., Ekeberg Ö., Tråvén H., Brodin L., Wallén P., Stensmo M. and Grillner S., (1989).: Simulation of the experimentally established segmental, supraspinal and sensory circuitry underlying locomotion in lamprey.; Soc. Neurosci. Abstr. 15: 1049.
Wallén P., Christenson J., Brodin L., Hill R., Lansner A. and Grillner S., (1989).: Mechanisms underlying the serotonergic modulation of the spinal circuitry for locomotion in lamprey.; Prog. Brain Res. 80: 321-327.
Brodin L., Tråvén H., Lansner A., Wallén P., Ekeberg Ö. and Grillner S., (1991).: Computer simulations of N-methyl-D-aspartate (NMDA) receptor induced membrane properties in a neuron model.; J. Neurophysiol. 66: 473-484.
Ekeberg Ö., Wallén P., Lansner A., Tråvén H., Brodin L. and Grillner S., (1991).: A computer based model for realistic simulations of neural networks. I: The single neuron and synaptic interaction.; Biol. Cybern. 65: 81-90.
Grillner S., Wallén P., Brodin L. and Lansner A., (1991).: The neuronal network generating locomotor behavior in lamprey - circuitry, transmitters, membrane properties, and simulation.; Ann. Rev. Neurosci. 14: 169-199.
Liljenström H., (1991).: Modeling the dynamics of olfactory cortex using simplified network units and realistic architecture.; Int. J. Neural Systems 2: 1-15.
Tråvén H., (1991).: A neural network approach to statistical pattern classification by "semiparametric" estimation of probability density functions.; IEEE Trans. Neural Networks 2: 366-377.
Hellgren J., Grillner S. and Lansner A., (1992).: Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons.; Biol. Cybern. 68: 1-13.
Lansner A. and Fransén E., (1992).: Modeling Hebbian cell assemblies comprised of cortical neurons.; Network 3: 105-119.
Wallén P., Ekeberg Ö., Lansner A., Brodin L., Tråvén H. and Grillner S., (1992).: A computer-based model for realistic simulations of neural networks. II: The segmental network generating locomotor rhythmicity in the lamprey.; J. Neurophysiol. 68: 1939-1950.
Ekeberg Ö., (1993).: A combined neuronal and mechanical model of fish swimming.; Biol. Cybern. 69: 363-374.
Ekeberg Ö., (1993).: Response properties of a population of neurons.; Int. J. Neural Systems 4: 1-13.
Grillner S., Matsushima T., Wadden T., Tegnér J., El Manira A. and Wallén P., (1993).: The neurophysiological bases of undulatory locomotion in vertebrates.; Sem. Neurosci. 5: 17-27.
Hammarlund P., Levin B. and Lansner A., (1993).: Biologically realistic and artificial neural network simulators on the connection machine.; Int. J. Modern Physics C 4: 49-63.
Holst A. and Lansner A., (1993).: A flexible and fault tolerant query-reply system based on a Bayesian neural network.; Int. J. Neural Systems 4: 257-267.
Mielniczuk J. and Tyrcha J., (1993).: Consistency of multilayer perceptron regression estimators.; Neural Networks 6: 1019-1022.
Tråvén H., Brodin L., Lansner A., Ekeberg Ö., Wallén P. and Grillner S., (1993).: Computer simulations of NMDA and non-NMDA receptor-mediated synaptic drive - sensory and supraspinal modulation of neurons and small networks.; J. Neurophysiol. 70: 695-709.
Blomberg C., Liljenström H., Lindahl B. I. B. and Århem P., (1994).: Mind and matter: Essays from biology, physics and philosophy - an introduction.; J. Theor. Biol. 171: 1-5.
Ekeberg Ö., Hammarlund P., Levin B. and Lansner A., (1994).: SWIM - A simulation environment for realistic neural network modeling.; In: Neural Network Simulation Environments, edited by J. Skrzypek. Hingham, MA: Kluwer.
Grillner S., Manira A. E., Tegnér J., Wadden T., Vinay L. and Barthe J.-Y., (1994).: Dynamic changes in functional connectivity in a lower vertebrate model.; In: Cellular and molecular Mechanisms Underlying Higher Neural Functions, edited by A. Selverston and P. Ascher. New York: John Wiley \& Sons, Ltd, p. 127-147.
Lansner A. and Ekeberg Ö., (1994).: Neuronal network models of motor generation and control.; Curr. Opin. Neurobiol. 4: 903-908.
Lansner A. and Liljenström H., (1994).: Computer models of the brain - How far can they take us?; J. Theor. Biol. 171: 61-73.
Liljenström H., (1994).: Oscillations and associative memory: Brain and model.; In: Brain and Mind - Biol. Transactions of the Danish Academy of Sciences and Letters, edited by R. Cotterill, volume 43. Munksgaard, Copenhagen, p. 109-123.
Wilhelmsson T. and Liljenström H., (1994).: Simulating the complex dynamics of a brain structure.; In: PDC Center for Parallel Computers Progress Report 1993, edited by F. Hedman, P. Hammarlund, and J. Oppelstrup. Parallelldatorcentrum, KTH, Stockholm, Sweden, p. 24-28.
Wu X. and Liljenström H., (1994).: Regulating the nonlinear dynamics of olfactory cortex.; Network 5: 47-60.
Fransén E. and Lansner A., (1995).: Low spiking rates in a population of mutually exciting pyramidal cells.; Network 6: 271-288.
Liljenström H., (1995).: Autonomous learning with complex dynamics.; Int. J. Intelligent Systems 10: 119-153.
Liljenström H. and Hasselmo M., (1995).: Cholinergic modulation of cortical oscillatory dynamics.; J. Neurophysiol. 74: 288-297.
Liljenström H. and Wu X., (1995).: Noise-enhanced performance in a cortical associative memory model.; Int. J. Neural Systems 6: 19-29.

Doctoral theses

Lansner A., (1986).: Investigations into the Pattern Processing Capabilities of Associative Nets.; PhD thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-8601.
Ekeberg Ö., (1992).: Computer Simulation Techniques in the Study of Neural Systems.; PhD thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-P9232.
Tråvén H., (1993).: On Pattern Recognition Applications of Artificial Neural Networks.; PhD thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-P9318.

Conference papers

Lansner A., (1983).: Pattern recognition in an adaptive associative network.; In: Proc. First ESSCS Workshop in Cognitive Systems. NoordWijkerhout, Holland.
Lansner A., (1985).: Associative processing in brain theory and artificial intelligence.; In: Brain Theory, edited by G. Palm and A. Aertsen. Proc. First Trieste Meeting on Brain Theory, Springer, Berlin. Trieste, October 1-4.
Lansner A., (1985).: Pattern processing in a multi-layer associative net.; In: Proc. Fourth Scand. Conf. on Image Analysis. TAPIR. Trondheim, Norway, p. 753-760.
Eklundh J.-O., Lansner A. and Wessblad R., (1986).: Multi-spectral classification using associative nets.; In: Proc. Eighth ICPR. Paris, October 27-31, p. 1240-1243.
Ekeberg Ö., (1987).: Associative networks I: A Bayesian learning rule.; In: Cybernetics and Systems: The Way Ahead, edited by J. Rose. Thales, Lytham St. Annes, Great Britain. London, p. 410-412.; Proc. Seventh International Congress of Cybernetics and Systems, London Sept. 7-11.
Lansner A., (1987).: Associative networks II: Complex nodes.; In: Cybernetics and Systems: The Way Ahead, edited by J. Rose. Thales, Lytham St. Annes, Great Britain. London, p. 413-415.; Proc. Seventh International Congress of Cybernetics and Systems, London Sept. 7-11.
Lansner A. and Ekeberg Ö., (1987).: An associative network solving the ``4-Bit ADDER problem''.; In: IEEE First International Conference on Neural Networks, edited by M. Caudill and C. Butler. San Diego, CA, June 21-24, p. II-549.
Ekeberg Ö. and Lansner A., (1988).: Automatic generation of internal representations in a probabilistic artificial neural network.; In: Neural Networks from Models to Applications, edited by L. Personnaz and G. Dreyfus. I.D.S.E.T. Paris, June 6-9, p. 178-186.; Proc. nEuro-88, The First European Conference on Neural Networks.
Tråvén H., (1989).: A neural network clustering algorithm and its application to multispectral satellite image classification.; In: Proc. 6th Scand. Conf. on Image Analysis. Oulu, Finland, June 19-22, p. 128.
Fransén E. and Lansner A., (1990).: Modelling Hebbian cell assemblies comprised of cortical neurons.; In: Proc. Open Network Conference on Neural Mechanisms of Learning and Memory. London, April, p. 4:9.
Lansner A., (1990).: Computer modelling of the lamprey swimming rhythm generator.; In: Proc. Third Swedish-French Symposium {"Trends in Neurobiology"}. Stockholm, May.
Duchateau G. and Lansner A., (1991).: A Bayesian artificial neural network with spiking units.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 525-530.; Proc. ICANN-91.
Ekeberg Ö., Stensmo M., Tråvén H., Levin B., Hammarlund P. and Lansner A., (1991).: Tools for biologically realistic simulations of neural networks.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 1439-1442.; Proc. ICANN-91.
Hammarlund P., Levin B. and Lansner A., (1991).: BIOSIM - A program for biologically realistic neural network simulations on the Connection Machine.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 1477-1480.; Proc. ICANN-91.
Lansner A., (1991).: A recurrent bayesian ANN capable of extracting prototypes from unlabeled and noisy examples.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 247-254.; Proc. ICANN-91.
Lansner A., Ekeberg Ö., Wadden T., Tråvén H., Fransén E., Grillner S., Wallén P. and Brodin L., (1991).: Examples of realistic neural network simulations.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 1431-1434.; Proc. ICANN-91.
Lansner A. and Fransén E., (1991).: Modeling Hebbian cell assemblies comprised of cortical neurons.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 1747-1750.; Proc. ICANN-91.
Levin B., (1991).: Implementation of the SANS algorithm on the CM2.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 1473-1476.; Proc. ICANN-91.
Stensmo M., Lansner A. and Levin B., (1991).: A query-reply system based on a recurrent Bayesian artificial neural network.; In: Artificial Neural Networks, edited by T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas. Elsevier, Amsterdam. Espoo, Finland, June 24-28, p. 459-464.; Proc. ICANN-91.
Wikström M., Orre R. and Lansner A., (1991).: A method for motor learning in artificial neural systems.; In: Proc. European Neuroscience Association (ENA) Annual Meeting.; Cambridge, England.
Hammarlund P. and Lansner A., (1992).: Behaviours, motivations and perceptions in artificial creatures.; In: SNCC-92 Advance Proceedings. Skövde, Sweden, September 9-10.; The First Swedish National Conference on Connectionism.
Hammarlund P. and Lansner A., (1992).: Implementation of very large recurrent ANN on massively parallel SIMD computers.; In: Artificial Neural Networks, edited by I. Alexander and J. Taylor. Springer-Verlag. Brighton, United Kingdom, September 4-7, p. 1287-1290.; Proc. ICANN'92.
Holst A. and Lansner A., (1992).: A robust query-reply system based on a Bayesian neural network.; In: SNCC-92 Advance Proceedings. Skövde, Sweden, September 9-10.; The First Swedish National Conference on Connectionism.
Liljenström H., (1992).: Complex dynamics in a realistic neural network model.; In: Proc. Second Int. Conference on Fuzzy Logic and Neural Networks. Iizuka, Japan, July 17-22, p. 897-900.; (Invited paper).
Orre R. and Lansner A., (1992).: A Bayesian network for temporal segmentation.; In: Artificial Neural Networks, edited by I. Alexander and J. Taylor. Elsevier. Amsterdam, September 4-7, p. 1081-1084.; Proc. ICANN'92, Brighton, United Kingdom.
Tråvén H., (1992).: Internal representation models in feed-forward artificial neural networks.; In: SNCC-92 Advance Proceedings. Skövde, Sweden, September 9-10.; The First Swedish National Conference on Connectionism.
Ekeberg Ö., (1993).: Neural control of vertebrate locomotion: a computer simulation study.; In: Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden, June 1-3, p. 375-378.
Elenius K. and Tråvén H., (1993).: Multi-layer perceptrons and probabilistic neural networks for phoneme recognition.; In: Proc. EuroSpeech'93. Berlin.; (In press).
Fransén E., Lansner A. and Liljenström H., (1993).: A model of cortical associative memory based on Hebbian cell assemblies.; In: Computation and Neural Systems, edited by F. H. Eeckman and J. M. Bower. Kluwer, Boston, MA. San Francisco, July 26-31, 1992, p. 431-435.
Holst A. and Lansner A., (1993).: Diagnosis of technical equipment using a Bayesian neural network.; In: Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications, edited by J. Alspector, R. Goodman, and T. X. Brown. Lawrence Erlbaum Associates, Hillsdale. Princeton, NJ, USA, October 18-20, p. 147-153.
Holst A. and Lansner A., (1993).: A multi-layer extension of a Bayesian neural network.; In: ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, edited by S. Gielen and B. Kappen. Springer-Verlag. Amsterdam, September 13-16, p. 499.
Lansner A., (1993).: Associative memory capabilities of an attractor network with realistic model neurons.; In: Proc. NNP3. Univ. of Minnesota, Theortical Physics Institute, Tate Laboratory of Physics. July 14-17.
Lansner A., (1993).: Computer simulation of the lamprey swimming rhythm generator.; In: Proc. NNP3. Univ. of Minnesota, Theortical Physics Institute, Tate Laboratory of Physics. July 14-17.
Lansner A., (1993).: Models of the lamprey locomotor system.; In: Proc. Symp. Organisation et Processus dans les Systemes Biologiques. l'Academie des Sciences, Institute de France. Paris, May 26-28.; To appear.
Lansner A., (1993).: Towards ANS-based goal-oriented control of autonomous systems.; In: Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden, June 1-3, p. 189-196.
Levin B. and Lansner A., (1993).: Document retrieval and protein sequence matching using a neural network.; In: ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, edited by S. Gielen and B. Kappen. Springer-Verlag. Amsterdam, September 13-16, p. 511.
Liljenström H. and Hasselmo M., (1993).: Acetylcholine and cortical oscillatory dynamics.; In: Computation and Neural Systems, edited by F. H. Eeckman and J. M. Bower. Kluwer, Boston, MA. San Francisco, July 26-31, 1992, p. 523-530.
Liljenström H. and Wu X., (1993).: Simulated neuromodulatory effects on the nonlinear dynamics of olfactory cortex.; In: Proc. of Int. Joint Conf. on Neural Networks. Nagoya, Japan, October 25-29, p. 81-84.
Orre R., (1993).: Multi module ANN simulator for MIMD architecture.; In: Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden, June 1-3, p. 85-88.
Orre R. and Lansner A., (1993).: Process modelling using artificial neural networks.; In: ICANN'93, Proceedings of the International Conference on Artificial Neural Networks, edited by S. Gielen and B. Kappen. Elsevier. Amsterdam, September 13-16, p. 862.
Tråvén H., (1993).: Invariance constraints for improving generalization in probabilistic neural networks.; In: Proc. IEEE ICNN'93. San Francisco, p. Vol. III, 1348-1353.
Wadden T., Ekeberg Ö. and Lansner A., (1993).: Towards ann based control of simulated legged locomotion.; In: Proc. Mechatronical Computer Systems for Perception and Action. Halmstad, Sweden, June 1-3, p. 379-382.
Wadden T., Grillner S., Matsushima T. and Lansner A., (1993).: Undulatory locomotion-simulations with realistic segmental oscillators.; In: Computation and Neural Systems, edited by F. M. Eeckman and J. M. Bower. Kluwer, Boston, MA. San Francisco, July 26-31, 1992, p. 301-306.
Ekeberg Ö., (1994).: An integrated neuronal and mechanical model of fish swimming.; In: Computation in Neurons and Neural Systems, edited by F. H. Eeckman. Kluwer, Boston, MA. Washington DC, August 1-4, 1993, p. 217-222.
Fransén E., Lansner A. and Liljenström H., (1994).: A model of cortical associative memory based on Hebbian cell assemblies.; In: Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, edited by L. F. Niklasson and M. B. Bodén. Ellis Horwood. Skövde, Sweden, September 9-10, p. 165-172.
Hellgren-Kotaleski J., Wadden T., Lansner A. and Grillner S., (1994).: A continuous network model of the lamprey swimming rhythm generator - intersegmental coordination.; In: Soc. Neurosci. Abstr., volume 20. Society for Neuroscience. Washington, D.C., November, p. 1592.
Liljenström H., (1994).: Cognition, neurodynamics, and computer models.; In: Connectionism in a Broad Perspective: Selected papers from the Swedish Conference on Connectionism - 1992, edited by L. F. Niklasson and M. B. Bodén. Ellis Horwood. Skövde, Sweden, September 9-10, p. 89-98.
Liljenström H., (1994).: Neurodynamical basis for consciousness states.; In: Proc. 7th Intl. Congress on Psychophysiol. Thessaloniki, Greece, September 27-October 2, 1994.; (abstract).
Liljenström H., (1994).: Noise and chaos in associative memory.; In: Computation and Neural Systems. Kluwer, Boston, MA. Monterey, July 21-25.; (In press).
Liljenström H. and Wu X., (1994).: Noise and neuromodulatory effects on a cortical associative memory.; In: Proc. of World Congress on Neural Networks. Orlando, U.S.A., June 28-July 2.
Fransén E. and Lansner A., (1995).: Low spiking rates in a network with overlapping assemblies.; In: The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, edited by J. M. Bower. Kluwer, Boston, MA. Monterey, CA, July 21-26, 1994, p. 257-262.
Fransén E. and Lansner A., (1995).: Recurrent attractor neural networks in models of cortical associative memory function.; In: Current Trends in Connectionism, Proc. of the 1995 Swedish Conference on Connectionism, edited by L. F. Niklasson and M. B. Bodén. Lawrence Erlbaum. Hillsdale, New Jersey, p. 33-42.
Lansner A. and Fransén E., (1995).: Improving the realism of attractor models by using cortical columns as functional units.; In: The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, edited by J. M. Bower. Kluwer, Boston, MA. Monterey, CA, July 21-26, 1994.
Liljenström H. and Wu X., (1995).: Oscillations, chaos and noise in associative memory.; In: The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, edited by J. M. Bower. Kluwer, Boston, MA. Monterey, CA, July 21-26, 1994, p. 257-262.
Wadden T., Hellgren-Kotaleski J., Lansner A. and Grillner S., (1995).: Simulations of intersegmental coordination using a continuous network model.; In: The Neurobiology of Computation: Proceedings of the Third Annual Computation and Neural Systems Conference, edited by J. M. Bower. Kluwer, Boston, MA. Monterey, CA, July 21-26, 1994.

Technical reports

Lansner A., (1980).: The neuronal pool as a functional unit in the CNS.; Tech. Rep. TRITA-NA-8009, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A., (1982).: Information processing in a network of model neurons. A computer simulation study.; Tech. Rep. TRITA-NA-8211, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A. and Ekeberg Ö., (1983).: A program package implementing a system of interacting adaptive associative networks.; Tech. Rep. TRITA-NA-8302, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A., (1985).: Prototype extraction and matching in associative nets.; Tech. Rep. TRITA-NA-8516, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A. and Ekeberg Ö., (1987).: Reserapport från IEEE first annual international conference on neural networks.; Tech. Rep. TRITA-NA-P8711, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Ekeberg Ö. and Levin B., (1988).: Reserapport från nEuro'88.; Tech. Rep. TRITA-NA-P8806, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Lansner A. et al, (1988).: SANS, Studies of artificial neural systems - progress report 1987/88.; Tech. Rep. TRITA-NA-P8811, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Tråvén H., (1988).: Temporal associative memory.; Tech. Rep. TRITA-NA-P8802, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A. et al, (1989).: SANS, Studies of artificial neural systems - progress report 1988/89.; Tech. Rep. TRITA-NA-P8907, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Duchateau G. and Lansner A., (1990).: Learning rules for artificial neural networks with spiking units.; Tech. Rep. TRITA-NA-P9001, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Ekeberg Ö., Stensmo M. and Lansner A., (1990).: SWIM - A simulator for real neural networks.; Tech. Rep. TRITA-NA-P9014, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Lansner A. et al, (1990).: SANS, Studies of artificial neural systems - progress report.; Tech. Rep. TRITA-NA-P9034, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Levin B., (1990).: Implementation of the SANS algorithm on the CM-2.; Tech. Rep. TRITA-NA-P9011, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Levin B., Hammarlund P. and Lansner A., (1990).: BIOSIM - A program for biologically realistic neural network simulations on the Connection Machine.; Tech. Rep. TRITA-NA-P9021, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Orre R. and Lansner A., (1990).: A method for temporal association in Bayesian networks.; Tech. Rep. TRITA-NA-P9018, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Tråvén H., (1990).: A neural network approach to statistical pattern classification by "semiparametric" estimation of probability density functions, with applications.; Tech. Rep. TRITA-NA-P9019, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Holst A. and Lansner A., (1991).: Klassificering av fel i teknisk utrustning. Lägesrapport 1.; Tech. rep., Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Lansner A. et al, (1991).: SANS, Studies of artificial neural systems - annual progress report.; Tech. Rep. TRITA-NA-P9126, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Stensmo M., (1991).: A query-reply classification system based on an artificial neural network.; Licentiate degree thesis TRITA-NA-9107, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Holst A., (1992).: Ytterligare strategier för frågegenerering i ett fråga-svarssystem baserat på ett enlagers neuronnät [Further question generation strategies in a query-reply system based on a one-layer neural network].; Tech. Rep. TRITA-NA-P9206, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Holst A. and Lansner A., (1992).: Feldiagnos baserad på artificiella neuronnät. Lägesrapport avseende hösten 1992.; Tech. rep., Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Holst A. and Lansner A., (1992).: Klassificering av fel i teknisk utrustning. Lägesrapport avseende våren 1992.; Tech. rep., Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Levin B. and Lansner A., (1992).: Document retrieval, protein sequence matching and sensor selection methods using a neural network.; Tech. Rep. TRITA-NA-P9238, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Liljenström H. and Lansner A., (1992).: SANS, Studies of artificial neural systems annual progress report 1992.; Tech. Rep. TRITA-NA-P9236, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Orre R. and Lansner A., (1992).: A study of process modelling using artificial neural networks.; Tech. Rep. TRITA-NA-P9239, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Valigi R., (1992).: Modelling word naming with a recurrent artificial neural network architecture.; Tech. Rep. TRITA-NA-P9230, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Holst A. and Lansner A., (1993).: A Bayesian neural network with extensions.; Tech. Rep. TRITA-NA-P9325, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Tyrcha J., (1993).: Analysis and varibale selection in principal component analysis and linear regression.; Tech. rep., Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.
Holst A. and Lansner A., (1994).: Feldiagnos baserad på artificiella neuronnät. Lägesrapport avseende hösten 1993 - våren 1994.; Tech. rep., Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Orre R. and Lansner A., (1994).: Function approximation by prediction of a posteriori density with bayesian ann:s.; Tech. Rep. TRITA-NA-P9413, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.

Miscellaneous

Lansner A., (1988).: Artificiella neuronnät: Hjärnan modell för ny dator.; Industriell Datateknik 9/88.; In Swedish.
Lansner A., (1988).: NADA 25 år. Jubileumsskrift 1963-1988.; Dept. of Numerical Analysis and Computing Science.; In Swedish.
Stensmo M., (1988).: Modelling simple multiplication in a neural network.; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-E8879.
Ekeberg Ö., (1989).: Computer simulation of the segmental burst generating network in the lamprey spinal cord.; Poster at the Nordic Symposium on Neural Computing, April 17-18, Hanasaari Culture Center, Espoo, Finland.
Lansner A. and Ekeberg Ö., (1989).: A one-layer feedback, artificial neural network with a bayesian learning rule.; Extended abstract in Proceedings from the Nordic Symposium on Neural Computing, April 17-18, Hanasaari Culture Center, Espoo, Finland.
Stensmo M., Levin B. and Lansner A., (1989).: A question driven classification system using an neural network model.; Poster at the Nordic Symposium on Neural Computing, April 17-18, Hanasaari Culture Center, Espoo, Finland.
Tråvén H., (1989).: A neural network clustering algorithm and its application to multispectral satellite image classification.; Poster at the Nordic Symposium on Neural Computing, April 17-18, Hanasaari Culture Center, Espoo, Finland.
Hammarlund P., (1990).: The massively parallel computer AAP2.; Master's thesis, Computer Science School, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-P9061.
Holst A., (1990).: En jämförelse mellan strategier för frågegenerering i ett fråga-svarssystem baserat på ett enlagers neuronnät [A comparison between question generation strategies in a query-reply system based on a one-layer neural network].; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In Swedish, TRITA-NA-E9063.
Erhardsson T., (1991).: Creating sparse, distributed and decorrelated binary codes by means of feature-detecting artificial neural networks.; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-E9186.
Gustafsson E., (1991).: Undersökning av möjligheten att använda artificiella neurala nät för feldiagnostik inom telekommunikation [Investigation of the possibility to use neural networks for fault diagnosis in telecommunications].; Master's thesis, Dept. of Telecommunication Theory, Royal Institute of Technology, Stockholm, Sweden.; In Swedish.
Liljenström H., (1991).: Oscillations and associative memory in a neural network model of olfactory cortex - a hands on tutorial.; (Course material).
Samuelsson M., (1991).: Klassificering av fiberkorsningar med neuronnätsteknik.; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; In swedish.
Sjögren P., (1991).: Extraction of significant features in long bitstrings: Implementation on the connection machine.; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-E9179.
Ekeberg Ö., Stensmo M. and Lansner A., (1992).: SWIM - A simulator for biologically realistic simulations of neural networks.; In \citesans:oethesis92.
Lansner A., (1992).: Med konnektionism mot en kognitiv revolution.; Framtider 1/93.; In Swedish.
Näslund O., (1993).: Igenkänning av handritade förbandssymboler.; Master's thesis, Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-E9303, In Swedish.
Öhman M., (1993).: Induktiva metoder och neuronnät för klassificeringsproblem [Inductive methods and neural networks for classification problems].; Master's thesis, School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden.; TRITA-NA-E9336, In Swedish.
Hammarlund P. and Lansner A., (1994).: Simulating spiking neural networks on loosely connected, message passing parallel systems.; (In preparation).
Lansner A. and Holst A., (1994).: A higher order Bayesian neural network with spiking units.; (Submitted).
Liljenström H., (1994).: Modelling Temporal Aspects of Cognitive Functions.; Springer Verlag, (Invited manuscript, In preparation).
Ekeberg Ö., Grillner S. and Lansner A., (1995).: A spinal pattern generating network producing steering through yaw, pitch and roll movements during undulatory swimming.; (Under revision).
Ekeberg Ö., Lansner A. and Grillner S., (1995).: The neural control of fish swimming studied through numerical simulations.; (Invited manuscript, Submitted).
Wadden T., Hellgren-Kotaleski J., Lansner A. and Grillner S., (1995).: Intersegmental coordination in the lamprey - simulations using a continuous network model.; Manuscript.
Wilhelmsson T., (1995).: Simulating the dynamics of olfactory cortex on a Connection Machine.; Master's thesis, Linköping Institute of Technology, Linköping, Sweden.; LiTH-ISY-EX-1336.