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  • 1995-1999  (2)
  • 1998  (2)
  • Home-navigation  (1)
  • Transgenic plant  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Direct gene delivery into isolated microspores of rapeseed (Brassica napus L.) and the production of fertile transgenic plants (1998)
    Springer
    Plant cell reports 17 (1998), S. 323-328 
    Details
    ISSN: 1432-203X
    Keywords: Key wordsBrassica napus ; Microspore culture ; Transgenic plant ; Particle bombardment ; Doubled haploid
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A procedure for direct gene transfer into isolated microspores of rapeseed (Brassica napus L.) and the production of fertile transgenic plants is presented. By modifying the microspore culture method and adopting the firefly luciferase (Luc) gene as a non-destructive marker, we could obtain stably transformed androgenetic embryos from bombarded microspores. Luc-positive embryos were easily isolated from the large non-transformed population using a high-sensitivity bioluminescent image analyzer. PCR and Southern blot analyses confirmed that the introduced transgene was integrated stably into the genome of the selected embryos. Diploidized plants obtained from the haploid embryos were self-pollinated, and all of the offspring tested were Luc-positive, indicating rapid fixation of the transgene which is characteristic of doubled haploids.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s002990050401
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Hippocampal neural network model performing navigation by homing vector field adhesion to sensor map (1998)
    Springer
    Artificial life and robotics 2 (1998), S. 129-133 
    Details
    ISSN: 1614-7456
    Keywords: Hippocampal neural network ; Hebbian learning ; Phase coding ; Self-orientation ; Home-navigation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We propose an artificial neural network model for autonomous agents, i.e., mobile robots, to learn maps of environments and acquire the ability to perform home-navigation autonomously. The networks consists of two subnetworks, each of which has a similar structure with hippocampal lamellar neuronal circuits. Hebbian learning procedures self-organize the first subnetwork to output the distributed sinusoidal activity of the cells by accumulating motor information generated during movement, and the second subnetwork to output localized activity by prototyping sensory information. These patterns represent a homing vector providing the relative coordinates of the agent from a starting point, and a place code corresponding uniquely to a point of the environment. By attaching homing vectors to the sensor map, the homing vector is associated with the sensory stimuli. Then the agents can perform home-navigation autonomously by this association.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02471169
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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