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  • 1
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    Serotonin analog selectively ablates indentified neurons in the leech embryo (1982)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1982-04-16
    Description: Exposure of embryonic leeches to 5,7-dihydroxytryptamine a cytotoxic analog of the monoamine neurotransmitter serotonin, results in the selective ablation of serotonin-containing neurons in the ventral nerve cord. Other neurons appear to be unaffected by this treatment, including those that contain another monoamine neurotransmitter, dopamine. Embryos with ablations continue to develop into juvenile leeches, but as juveniles they are unable to make normal swimming movements. However, normal swimming movements can be instated in such leeches by injecting them with serotonin.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Glover, J C -- Kramer, A P -- GM 07048/GM/NIGMS NIH HHS/ -- NS 06456/NS/NINDS NIH HHS/ -- NS 12818/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 1982 Apr 16;216(4543):317-9.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7063890" target="_blank"〉PubMed〈/a〉
    Keywords: 5,7-Dihydroxytryptamine/*pharmacology ; Animals ; Behavior, Animal/drug effects ; Cell Survival/drug effects ; Dihydroxytryptamines/*pharmacology ; Leeches/*drug effects/embryology ; Locomotion/drug effects ; Membrane Potentials/drug effects ; Neurons/*drug effects ; Serotonin/analogs & derivatives/physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Different command neurons select different outputs from a shared premotor interneuron of crayfish tail-flip circuitry (1981)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1981-11-13
    Description: In the crayfish a bilateral pair of interneurons (the 13's) are involved in the generation of two types of tail-flip escape responses, one mediated by giant neurons and the other by nongiant circuitry. The 13's make a variety of output connections with the motoneurons and with other interneurons involved in tail flipping. The motoneuronal outputs include strong synapses on telson flexor motoneurons, whose activity during tail flips mediated by lateral giant fibers would be maladaptive. The lateral giants always drive the 13's, but also drive inhibitory neurons that prevent the undesirable outputs of the 13's while permitting their adaptive outputs to be expressed. It is often adaptive for tail flips initiated by nongiant circuitry to utilize the telson flexor muscles that 13 strongly excites. During such tail flips 13 is often fired, and this firing is important in driving the telson flexors.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kramer, A P -- Krasne, F B -- Bellman, K L -- MH15795/MH/NIMH NIH HHS/ -- NS 8108/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 1981 Nov 13;214(4522):810-2.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7292013" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; Astacoidea/*physiology ; Behavior, Animal/*physiology ; Escape Reaction/physiology ; Interneurons/*physiology ; Neural Pathways/physiology ; Tail
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 3
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    Trajectory-oriented Bayesian experiment design versus Fisher A-optimal design: an in depth comparison study (2012)
    Oxford University Press
    Details
    Publication Date: 2012-09-08
    Description: Motivation: Experiment design strategies for biomedical models with the purpose of parameter estimation or model discrimination are in the focus of intense research. Experimental limitations such as sparse and noisy data result in unidentifiable parameters and render-related design tasks challenging problems. Often, the temporal resolution of data is a limiting factor and the amount of possible experimental interventions is finite. To address this issue, we propose a Bayesian experiment design algorithm to minimize the prediction uncertainty for a given set of experiments and compare it to traditional A-optimal design. Results: In an in depth numerical study involving an ordinary differential equation model of the trans -Golgi network with 12 partly non-identifiable parameters, we minimized the prediction uncertainty efficiently for predefined scenarios. The introduced method results in twice the prediction precision as the same amount of A-optimal designed experiments while introducing a useful stopping criterion. The simulation intensity of the algorithm's major design step is thereby reasonably affordable. Besides smaller variances in the predicted trajectories compared with Fisher design, we could also achieve smaller parameter posterior distribution entropies, rendering this method superior to A-optimal Fisher design also in the parameter space. Availability: Necessary software/toolbox information are available in the supplementary material . The project script including example data can be downloaded from http://www.ist.uni-stuttgart.de/%7eweber/BayesFisher2012 . Contact: patrick.weber@ist.uni-stuttgart.de Supplementary Information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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