Recording the entire visual representation along the vertical pathway in the 
mammalian retina

Berens, P; Baden, T; Bethge, M; Euler, T

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

ポスター

Recording the entire visual representation along the vertical pathway in the mammalian retina

MPS-Authors

/persons/resource/persons83805

Bethge, M
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

http://cosyne.org/cosyne13/Cosyne2013_program_book.pdf
(出版社版)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Berens, P., Baden, T., Bethge, M., & Euler, T. (2013). Recording the entire visual representation along the vertical pathway in the mammalian retina. Poster presented at Computational and Systems Neuroscience Meeting (COSYNE 2013), Salt Lake City, UT, USA.

引用: https://hdl.handle.net/21.11116/0000-0001-189E-3

要旨

In the retina, the stream of incoming visual information is split into multiple parallel information channels, represented by different kinds of photoreceptors (PRs), bipolar (BCs) and ganglion cells (RGCs). Morphologically,
10-12 different BC and about 20 different RGC types have been described. Here, we record from all cells in the
vertical cone pathway, including all PR, BC and RGC types, using 2P imaging in the mouse retina. We show that BCs and RGCs can be clustered into functionally defined classes based on their Ca2+responses to simple light stimuli. For example, we find 8 functional BC types, which match anatomical types and project to the inner retina in an organized manner according to their response kinetics. The fastest BC types generate clear all-or-nothing spikes. In addition, we find more than 15 functional RGC types, including classic ON- and OFF as well as transient and sustained types. We verify the functional clustering using anatomical data. This dataset allows us to study the computations performed along the vertical pathway in the mammalian retina and to obtain a complete sample of the information the retina sends to the brain.