Members > Tim Gollisch
Tim GollischProfessor for Sensory Processing in the Retina |
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Major Research Interests: |
Tim Gollisch |
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We are interested in how the neuronal network of the retina processes visual signals. The focus of our work is on studying the function of the various neuron types in the retina and their synaptic connections. One goal is to better understand the "neural code" of the retina: how do the patterns of electrical activity in retinal neurons transmit information about the visual environment to downstream brain areas? Another goal is to better understand "neural computation" in the retina: how do the cells in the retinal network interact to produce a specific, useful response? On the basis of these questions, we also study how dysfunction of the retinal circuitry, for example in retinal diseases, compromises sensory processing. Our investigations are based on various techniques of recording the activity of neurons in the retina while stimulating the network with different visual images or movies. We use multi-electrode array recordings, whole-cell patch-clamp recordings, and fluorescence imaging and combine the experiments with statistical analyses and mathematical modeling. |
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Selected Recent Publications: |
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Garvert MM, Gollisch T (2013) Local and global contrast adaptation in retinal ganglion cells. Neuron 77: 915-928 Bölinger D, Gollisch T (2012) Closed-loop measurements of iso-response stimuli reveal dynamic nonlinear stimulus integration in the retina. Neuron 73: 333-346 Gollisch T, Meister M (2010) Eye smarter than scientists believed: Neural computation in circuits of the retina. Neuron 65: 150-164 Gollisch T (2009) Throwing a glance at the neural code: Rapid information transmission in the visual system. HFSP Journal 3: 36-46 Gollisch T, Meister M (2008a) Rapid neural coding in the retina with relative spike latencies. Science 319: 1108-1111 Gollisch T (2008) Time-warp invariant pattern detection with bursting neurons. New J Phys 10: 015012 Herz AVM, Gollisch T, Machens CK, Jaeger D (2006) Modeling single-neuron dynamics and computations: A balance of detail and abstraction. Science 314: 80-85 Gollisch T (2006) Estimating receptive fields in the presence of spike-time jitter. Network 17: 103-129 Gollisch T, Herz AVM (2005) Disentangling sub-millisecond processes within an auditory transduction chain. PLoS Biology 3: e8 Gollisch T, Herz AVM (2004) Input-driven components of spike-frequency adaptation can be unmasked in vivo. J Neurosci 24: 7435-7444 |