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Anders Lansner

Researcher at Royal Institute of Technology

Publications -  233
Citations -  9228

Anders Lansner is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Artificial neural network & Attractor network. The author has an hindex of 44, co-authored 227 publications receiving 8472 citations. Previous affiliations of Anders Lansner include Karolinska Institutet & Stockholm University.

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A Bayesian neural network method for adverse drug reaction signal generation

TL;DR: The BCPNN will be an extremely useful adjunct to the expert assessment of very large numbers of spontaneously reported ADRs, and can be used in the detection of significant signals from the data set of the WHO Programme on International Drug Monitoring.
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Neurocognitive Architecture of Working Memory

TL;DR: A crucial role for working memory in temporary information processing and guidance of complex behavior has been recognized for many decades, and recent data and models indicate that working memory may also be based on synaptic plasticity and thatWorking memory can operate on non-consciously perceived information.
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Neural networks that co-ordinate locomotion and body orientation in lamprey

TL;DR: The networks of the brainstem and spinal cord that co-ordinate locomotion and body orientation in lamprey are described and Mathematical modelling has been used to explore the capacity of these biological networks.
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Neuronal network generating locomotor behavior in lamprey: circuitry, transmitters, membrane properties, and simulation.

TL;DR: All patterns of behavior are produced by interacting nerve cells, and little or no knowledge is available on how the neural networks underlying different aspects of the vertebrate behavioral repertoire may function on a cellular level.