virus; retina; cortex; microcircuits; vision; calcium imaging
Krol Jacek, Krol Ilona, Alvarez Claudia Patricia Patino, Fiscella Michele, Hierlemann Andreas, Roska Botond, Filipowicz Witold (2015), A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture., in Nature communications
, 6, 7305-7305.
Wertz Adrian, Trenholm Stuart, Yonehara Keisuke, Hillier Daniel, Raics Zoltan, Leinweber Marcus, Szalay Gergely, Ghanem Alexander, Keller Georg, Rózsa Balázs, Conzelmann Karl-Klaus, Roska Botond (2015), PRESYNAPTIC NETWORKS. Single-cell-initiated monosynaptic tracing reveals layer-specific cortical network modules., in Science (New York, N.Y.)
, 349(6243), 70-4.
Fiscella Michele, Franke Felix, Farrow Karl, Müller Jan, Roska Botond, Azeredo da Silveira Rava, Hierlemann Andreas (2015), Visual Coding with a Population of Direction-Selective Neurons., in Journal of neurophysiology
Busskamp Volker, Krol Jacek, Nelidova Dasha, Daum Janine, Szikra Tamas, Tsuda Ben, Jüttner Josephine, Farrow Karl, Scherf Brigitte Gross, Alvarez Claudia Patricia Patino, Genoud Christel, Sothilingam Vithiyanjali, Tanimoto Naoyuki, Stadler Michael, Seeliger Mathias, Stoffel Markus, Filipowicz Witold, Roska Botond (2014), miRNAs 182 and 183 are necessary to maintain adult cone photoreceptor outer segments and visual function., in Neuron
, 83(3), 586-600.
Chuong Amy S, Miri Mitra L, Busskamp Volker, Matthews Gillian A C, Acker Leah C, Sørensen Andreas T, Young Andrew, Klapoetke Nathan C, Henninger Mike A, Kodandaramaiah Suhasa B, Ogawa Masaaki, Ramanlal Shreshtha B, Bandler Rachel C, Allen Brian D, Forest Craig R, Chow Brian Y, Han Xue, Lin Yingxi, Tye Kay M, Roska Botond, Cardin Jessica A, Boyden Edward S (2014), Noninvasive optical inhibition with a red-shifted microbial rhodopsin., in Nature neuroscience
, 17(8), 1123-9.
Szikra Tamas, Trenholm Stuart, Drinnenberg Antonia, Jüttner Josephine, Raics Zoltan, Farrow Karl, Biel Martin, Awatramani Gautam, Clark Damon A, Sahel José-Alain, da Silveira Rava Azeredo, Roska Botond (2014), Rods in daylight act as relay cells for cone-driven horizontal cell-mediated surround inhibition., in Nature neuroscience
, 17(12), 1728-35.
Tang Jonathan C Y, Szikra Tamas, Kozorovitskiy Yevgenia, Teixiera Miguel, Sabatini Bernardo L, Roska Botond, Cepko Constance L (2013), A nanobody-based system using fluorescent proteins as scaffolds for cell-specific gene manipulation., in Cell
, 154(4), 928-39.
Farrow Karl, Teixeira Miguel, Szikra Tamas, Viney Tim J, Balint Kamill, Yonehara Keisuke, Roska Botond (2013), Ambient illumination toggles a neuronal circuit switch in the retina and visual perception at cone threshold., in Neuron
, 78(2), 325-38.
Sahel José-Alain, Roska Botond (2013), Gene therapy for blindness., in Annual review of neuroscience
, 36, 467-88.
Packer Adam M, Roska Botond, Häusser Michael (2013), Targeting neurons and photons for optogenetics., in Nature neuroscience
, 16(7), 805-15.
Yonehara Keisuke, Farrow Karl, Ghanem Alexander, Hillier Daniel, Balint Kamill, Teixeira Miguel, Jüttner Josephine, Noda Masaharu, Neve RachaelL, Conzelmann Karl Klaus, Roska Botond (2013), The first stage of cardinal direction selectivity is localized to the dendrites of retinal ganglion cells, in Neuron
, 79(6), 1078-1085.
The goal of the proposed project is to understand how different visual channels that originate in the ~20 ganglion cell mosaics of the retina interact at the level of cortical circuits in the primary visual cortex. Visual information processing in the cortex is commonly investigated by varying the visual stimulus and recording from single or multiple cortical cells. Similarly, information processing in the retina is studied by determining the stimulus-response relationships of retinal neurons. Recent studies have revealed that the retinal output is composed of ~20 different neural representations of the visual scene, most of which are relayed to the visual cortex via the lateral geniculate nucleus. However, how these different channels interact and are processed within the visual cortex is not understood. Here we ask two questions about cortical processing of retina features: How do retinal motion sensors contribute to cortical motion processing? What is the spatial distribution and cell-type composition of the retinal cells that drive a single cortical cell? We make use of advanced genetic, optogenetic and viral tools to attack these questions. We bring together in vivo genetic manipulations of retinal cell types with high throughput recording of cortical activity at cellular resolution, using genetically encoded indicators to reveal how silencing or activating different retinal ganglion cell types affects cortical motion processing. We then map the functional responses of the cells belonging to the local circuit of a single cortical motion sensitive cell. Finally, we initiate di-synaptic retrograde transsynaptic viruses from single functionally identified cortical cells to map the retinal ganglion cells that belong to the circuit of the single cortical cell. The importance of this project is that it will provide, for the first time, causal relationships between the visual features extracted by genetically identified retinal circuits and the visual features represented in cortical circuits.