ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 2014-05-09
    Description: How does the mammalian retina detect motion? This classic problem in visual neuroscience has remained unsolved for 50 years. In search of clues, here we reconstruct Off-type starburst amacrine cells (SACs) and bipolar cells (BCs) in serial electron microscopic images with help from EyeWire, an online community of 'citizen neuroscientists'. On the basis of quantitative analyses of contact area and branch depth in the retina, we find evidence that one BC type prefers to wire with a SAC dendrite near the SAC soma, whereas another BC type prefers to wire far from the soma. The near type is known to lag the far type in time of visual response. A mathematical model shows how such 'space-time wiring specificity' could endow SAC dendrites with receptive fields that are oriented in space-time and therefore respond selectively to stimuli that move in the outward direction from the soma.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074887/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074887/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kim, Jinseop S -- Greene, Matthew J -- Zlateski, Aleksandar -- Lee, Kisuk -- Richardson, Mark -- Turaga, Srinivas C -- Purcaro, Michael -- Balkam, Matthew -- Robinson, Amy -- Behabadi, Bardia F -- Campos, Michael -- Denk, Winfried -- Seung, H Sebastian -- EyeWirers -- R01 NS076467/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 May 15;509(7500):331-6. doi: 10.1038/nature13240. Epub 2014 May 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2]. ; Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA [2] 601 N 42nd Street, Seattle, Washington 98103, USA (M.R.); Princeton Neuroscience Institute and Computer Science Deptartment, Princeton, New Jersey 08544, USA (H.S.S.); Gatsby Computational Neuroscience Unit, London WC1N 3AR, UK (S.C.T.). ; Qualcomm Research, 5775 Morehouse Drive, San Diego, California 92121, USA. ; Max-Planck Institute for Medical Research, D-69120 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24805243" target="_blank"〉PubMed〈/a〉
    Keywords: Amacrine Cells/cytology/physiology/ultrastructure ; Animals ; Artificial Intelligence ; *Brain Mapping ; Crowdsourcing ; Dendrites/metabolism ; Mice ; *Models, Neurological ; Motion ; Neural Pathways/*physiology ; Presynaptic Terminals/metabolism ; Retina/*cytology/*physiology ; Retinal Bipolar Cells/cytology/physiology/ultrastructure ; *Spatio-Temporal Analysis
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2013-08-09
    Description: Comprehensive high-resolution structural maps are central to functional exploration and understanding in biology. For the nervous system, in which high resolution and large spatial extent are both needed, such maps are scarce as they challenge data acquisition and analysis capabilities. Here we present for the mouse inner plexiform layer--the main computational neuropil region in the mammalian retina--the dense reconstruction of 950 neurons and their mutual contacts. This was achieved by applying a combination of crowd-sourced manual annotation and machine-learning-based volume segmentation to serial block-face electron microscopy data. We characterize a new type of retinal bipolar interneuron and show that we can subdivide a known type based on connectivity. Circuit motifs that emerge from our data indicate a functional mechanism for a known cellular response in a ganglion cell that detects localized motion, and predict that another ganglion cell is motion sensitive.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Helmstaedter, Moritz -- Briggman, Kevin L -- Turaga, Srinivas C -- Jain, Viren -- Seung, H Sebastian -- Denk, Winfried -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Aug 8;500(7461):168-74. doi: 10.1038/nature12346.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max-Planck Institute for Medical Research, D-69120 Heidelberg, Germany. mhelmstaedter@neuro.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23925239" target="_blank"〉PubMed〈/a〉
    Keywords: Amacrine Cells/cytology/physiology ; Animals ; Cell Communication ; *Connectome ; Image Processing, Computer-Assisted ; Mice ; Mice, Inbred C57BL ; Microscopy, Electron ; *Models, Biological ; Neuropil/physiology ; Retina/*cytology/*physiology ; Retinal Ganglion Cells/cytology/*physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...