Search Results - "Lansner, A."

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  1. 1

    A Bayesian neural network method for adverse drug reaction signal generation by BATE, A, LINDQUIST, M, EDWARDS, I. R, OLSSON, S, ORRE, R, LANSNER, A, DE FREITAS, R. M

    Published in European journal of clinical pharmacology (01-06-1998)
    “…The database of adverse drug reactions (ADRs) held by the Uppsala Monitoring Centre on behalf of the 47 countries of the World Health Organization (WHO)…”
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    Journal Article
  2. 2

    A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation by Marco, S., Gutiérrez-Gálvez, A., Lansner, A., Martinez, D., Rospars, J. P., Beccherelli, R., Perera, A., Pearce, T. C., Verschure, P. F. M. J., Persaud, K.

    Published in Microsystem technologies (2014)
    “…Biological olfaction outperforms chemical instrumentation in specificity, response time, detection limit, coding capacity, time stability, robustness, size,…”
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    Journal Article Conference Proceeding
  3. 3

    A working memory model based on fast Hebbian learning by Sandberg, A., Tegner, J., Lansner, Anders

    Published in Network (Bristol) (2003)
    “…Recent models of the oculomotor delayed response task have been based on the assumption that working memory is stored as a persistent activity state (a 'bump'…”
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    Journal Article
  4. 4

    Bayesian neural networks with confidence estimations applied to data mining by Orre, R, Lansner, A, Bate, A, Lindquist, M

    Published in Computational statistics & data analysis (01-10-2000)
    “…An international database of case reports, each one describing a possible case of adverse drug reactions (ADRs), is maintained by the Uppsala Monitoring Centre…”
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    Journal Article
  5. 5

    Neural networks that co-ordinate locomotion and body orientation in lamprey by Grillner, S., Deliagina, T., El Manira, A., Hill, R.H., Orlovsky, G.N., Wallén, P., Ekeberg, Ö., Lansner, A.

    Published in Trends in Neurosciences (1995)
    “…The networks of the brainstem and spinal cord that co-ordinate locomotion and body orientation in lamprey are described. The cycle-to-cycle pattern generation…”
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    Book Review Journal Article
  6. 6

    A hemicord locomotor network of excitatory interneurons: a simulation study by Kozlov, A K, Lansner, A, Grillner, S, Kotaleski, J Hellgren

    Published in Biological cybernetics (01-02-2007)
    “…Locomotor burst generation is simulated using a full-scale network model of the unilateral excitatory interneuronal population. Earlier small-scale models…”
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    Journal Article
  7. 7

    Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network by Sandberg, A, Lansner, A

    Published in Neurocomputing (Amsterdam) (2002)
    “…Long-term memory consolidation is commonly assumed to occur through the reinstatement of previous activation states in the cortex by the action of the medial…”
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    Journal Article
  8. 8

    Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations by Lansner, Anders

    Published in Trends in neurosciences (Regular ed.) (01-03-2009)
    “…The second half of the past century saw the emergence of a theory of cortical associative memory function originating in Donald Hebb's hypotheses on…”
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    Journal Article
  9. 9

    A Bayesian attractor network with incremental learning by Sandberg, Anders, Lansner, Anders, Petersson, K. M., Ekeberg, Örjan

    Published in Network (Bristol) (2002)
    “…A realtime online learning system with capacity limits needs to gradually forget old information in order to avoid catastrophic forgetting. This can be…”
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    Journal Article
  10. 10

    A working memory model based on fast Hebbian learning by Sandberg, A, Tegnér, J, Lansner, A

    Published in Network (Bristol) (2003)
    “…Recent models of the oculomotor delayed response task have been based on the assumption that working memory is stored as a persistent activity state (a 'bump'…”
    Get full text
    Journal Article
  11. 11

    Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons by Hellgren, J, Grillner, S, Lansner, A

    Published in Biological cybernetics (01-11-1992)
    “…Realistic computer simulations of the experimentally established local spinal cord neural network generating swimming in the lamprey have been performed…”
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    Journal Article
  12. 12

    Cell Assembly Dynamics in Detailed and Abstract Attractor Models of Cortical Associative Memory by Lansner, Anders, Fransén, Erik, Sandberg, Anders

    “…During the last few decades we have seen a convergence among ideas and hypotheses regarding functional principles underlying human memory. Hebb's now more than…”
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    Journal Article
  13. 13

    Computer simulations of NMDA and non-NMDA receptor-mediated synaptic drive: sensory and supraspinal modulation of neurons and small networks by Tråvén, H G, Brodin, L, Lansner, A, Ekeberg, O, Wallén, P, Grillner, S

    Published in Journal of neurophysiology (01-08-1993)
    “…1. The segmental locomotor network in lamprey can generate the rhythmic burst pattern underlying locomotion when it is driven via synaptic glutamate receptors…”
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    Journal Article
  14. 14

    Selective enhancement of recall through plasticity modulation in an autoassociative memory by Sandberg, A., Lansner, A., Petersson, K.M.

    Published in Neurocomputing (Amsterdam) (2001)
    “…The strength of a memory trace is modulated by a variety of factors such as arousal, attention, context, type of processing during encoding, salience and…”
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    Journal Article Conference Proceeding
  15. 15

    A computer-based model for realistic simulations of neural networks. II. The segmental network generating locomotor rhythmicity in the lamprey by Wallén, P, Ekeberg, O, Lansner, A, Brodin, L, Tråvén, H, Grillner, S

    Published in Journal of neurophysiology (01-12-1992)
    “…1. To analyze the function of the spinal interneuronal network generating locomotion in the lamprey CNS, a vertebrate model system, we performed computer…”
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    Journal Article
  16. 16

    A higher order Bayesian neural network with spiking units by Lansner, A, Holst, A

    Published in International journal of neural systems (01-05-1996)
    “…We treat a Bayesian confidence propagation neural network, primarily in a classifier context. The one-layer version of the network implements a naive Bayesian…”
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    Journal Article
  17. 17

    A palimpsest memory based on an incremental Bayesian learning rule by Sandberg, A., Lansner, A., Petersson, K.M., Ekeberg, Ö.

    Published in Neurocomputing (Amsterdam) (2000)
    “…Capacity limited memory systems need to gradually forget old information in order to avoid catastrophic forgetting where all stored information is lost. This…”
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    Journal Article Conference Proceeding
  18. 18

    A computer based model for realistic simulations of neural networks. I, The single neuron and synaptic interaction by EKEBERG, O, WALLEN, P, LANSNER, A, TRAVEN, H, BRODIN, L, GRILLNER, S

    Published in Biological cybernetics (01-06-1991)
    “…The use of computer simulations as a neurophysiological tool creates new possibilities to understand complex systems and to test whether a given model can…”
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    Journal Article
  19. 19

    Spike-Based Bayesian-Hebbian Learning of Temporal Sequences by Tully, Philip J, Lindén, Henrik, Hennig, Matthias H, Lansner, Anders

    Published in PLoS computational biology (23-05-2016)
    “…Many cognitive and motor functions are enabled by the temporal representation and processing of stimuli, but it remains an open issue how neocortical…”
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    Journal Article
  20. 20

    Effect of prestimulus alpha power, phase, and synchronization on stimulus detection rates in a biophysical attractor network model by Lundqvist, Mikael, Herman, Pawel, Lansner, Anders

    Published in The Journal of neuroscience (17-07-2013)
    “…Spontaneous oscillations measured by local field potentials, electroencephalograms and magnetoencephalograms exhibit a pronounced peak in the alpha band (8-12…”
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    Journal Article