Genetics; Retina; Electrophysiology; Information processing; Microelectronics
Diggelmann Roland, Fiscella Michele, Hierlemann Andreas, Franke Felix (2018), Automatic spike sorting for high-density microelectrode arrays, in Journal of Neurophysiology
, 120(6), 3155-3171.
Drinnenberg Antonia, Franke Felix, Morikawa Rei K., Jüttner Josephine, Hillier Daniel, Hantz Peter, Hierlemann Andreas, Azeredo da Silveira Rava, Roska Botond (2018), How Diverse Retinal Functions Arise from Feedback at the First Visual Synapse, in Neuron
, 99(1), 117-134.e11.
Hillier Daniel, Fiscella Michele, Drinnenberg Antonia, Trenholm Stuart, Rompani Santiago B, Raics Zoltan, Katona Gergely, Juettner Josephine, Hierlemann Andreas, Rozsa Balazs, Roska Botond (2017), Causal evidence for retina-dependent and -independent visual motion computations in mouse cortex, in Nature Neuroscience
, 20(7), 960-968.
Yonehara Keisuke, Fiscella Michele, Drinnenberg Antonia, Esposti Federico, Trenholm Stuart, Krol Jacek, Franke Felix, Scherf Brigitte Gross, Kusnyerik Akos, Müller Jan, Szabo Arnold, Jüttner Josephine, Cordoba Francisco, Reddy Ashrithpal Police, Németh János, Nagy Zoltán Zsolt, Munier Francis, Hierlemann Andreas, Roska Botond (2016), Congenital Nystagmus Gene FRMD7 Is Necessary for Establishing a Neuronal Circuit Asymmetry for Direction Selectivity., in Neuron
, 89(1), 177-93.
Michele Fiscella, Keisuke Yonehara, Antonia Drinnenberg, Felix Franke, Jan Muller, Botond Roska, Andreas Hierlemann (2016), Screening Transgenic Mouse Models of Human Eye Diseases with CMOS High-Density Microelectrode Arrays, in Frontiers in Neuroscience
, 10, 1.
Franke Felix, Fiscella Michele, Sevelev Maksim, Roska Botond, Hierlemann Andreas, da Silveira Rava Azeredo (2016), Structures of Neural Correlation and How They Favor Coding., in Neuron
, 89(2), 409-22.
Roland Diggelmann, Michele Fiscella, Antonia Drinnenberg, Felix Franke, Botond Roska, Andreas Hierlemann (2016), Using High-Density MEAs For High-Throughput Retinal Ganglion Cell Type Classification, in Frontiers in Neuroscience
, 10, 1.
IL Jones, TL Russell, K Farrow, M Fiscella, F Franke, D Jäckel, A Hierlemann (2015), A Method for Electrophysiological Characterization of Hamster Retinal Ganglion Cells Using a High-Density CMOS Microelectrode Array, in Frontiers in Neuroscience
, 9, 360.
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.
Hierlemann Andreas, Muller Jan, Bakkum Douglas, Franke Felix (2015), Highly integrated CMOS microsystems to interface with neurons at subcellular resolution, in 2015 IEEE International Electron Devices Meeting (IEDM)
, Washington, DC, USAIEEE, Piscataway.
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
Dragas Jelena, Jäckel David, Hierlemann Andreas, Franke Felix (2014), Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm, in IEEE Transactions on Neural Systems and Rehabilitation Engineering
, 23(2), 149-158.
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.
Yonehara Keisuke, Farrow Karl, Ghanem Alexander, Hillier Daniel, Balint Kamill, Teixeira Miguel, Jüttner Josephine, Noda Masaharu, Neve Rachael L, 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), 1078-85.
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, miRNAs 182 and 183 Are Necessary to Maintain Adult Cone Photoreceptor Outer Segments and Visual Function., in Neuron
The present project aims at understanding how a given population of neurons, which share genetic, morphological, or physiological traits, processes sensory information. This question has never been tackled before, and its elucidation is essential to understanding the brain. In order to approach it, advanced electrophysiological and genetic tools, as well as recently developed computational methods, will be combined.Two recent lines of investigation have attempted to understand, first, how single cells carry out sophisticated computations and, second, how a neural population as a whole represents information. These investigations have gone particularly far in the retina, in which the visual world is parsed into ~20 channels; each of these corresponds to a mosaic of ganglion cells of given type, which tiles the retina and conveys to the brain selective information on spatio-temporal patterns in the stimulus. As yet, effort investigations have concerned computations, carried out by a ganglion cell of a given type, and representations of information by local populations of ganglion cells, irrespective of their types. Both lines of work are valuable and ongoing. However, they represent an incomplete approach to sensory processing. While the visual pathway is organized retinotopically and, hence, it is natural to study the interaction of visual cells at a given point in space, the visual pathway is also organized functionally, so that one would like to understand, how visual cells interact in the functional space. For this, it is essential to examine the way, in which populations of same-type and different-type ganglion cells process visual information. Hitherto, this has not been pursued.To embark on this new direction of investigations, we shall need to genetically label and manipulate ganglion cells; to carry out high-throughput recordings of their spiking activity; and to analyze the resulting data with involved mathematical and computational methods.This project will focus on the retina for good reasons. First, we shall gather the necessary genetic and anatomical knowledge (as a product of Subproject A). Second, we shall have access to voluminous electrophysiological data sets (as a product of Subproject B). Third, the organization of the retina and the control, which one has over the visual input, make it computationally tractable (see Subproject C). We emphasize, nonetheless, that while the present project focuses on the retina, we expect that the questions that it will raise and the experimental and computational approaches that it will propose will be transferable to cortical and other areas. As such, this projet may be viewed as the initial step in a much broader research program.Keywords: High-density multielectrode arrays, electrophysiology, genetic identification of cells, neural code, computational neuroscience, retina, visual coding.