000004068 001__ 4068
000004068 041__ $$aen_US
000004068 100__ $$aGollisch, Tim
000004068 245__ $$aModeling Convergent ON and OFF Pathways in the Early Visual System
000004068 260__ $$bSpringer-Verlag$$c2010-09-30T17:14:56Z
000004068 500__ $$aFor understanding the computation and function of single neurons in sensory systems, one needs to investigate how sensory stimuli are related to a neuron’s response and which biological mechanisms underlie this relationship. Mathematical models of the stimulus–response relationship have proved very useful in approaching these issues in a systematic, quantitative way. A starting point for many such analyses has been provided by phenomenological “linear–nonlinear” (LN) models, which comprise a linear filter followed by a static nonlinear transformation. The linear filter is often associated with the neuron’s receptive field. However, the structure of the receptive field is generally a result of inputs from many presynaptic neurons, which may form parallel signal processing pathways. In the retina, for example, certain ganglion cells receive excitatory inputs from ON-type as well as OFF-type bipolar cells. Recent experiments have shown that the convergence of these pathways leads to intriguing response characteristics that cannot be captured by a single linear filter. One approach to adjust the LN model to the biological circuit structure is to use multiple parallel filters that capture ON and OFF bipolar inputs. Here, we review these new developments in modeling neuronal responses in the early visual system and provide details about one particular technique for obtaining the required sets of parallel filters from experimental data.
000004068 520__ $$aMolecular and Cellular Biology
000004068 6557_ $$aJournal Article
000004068 700__ $$aMeister, Markus
000004068 7860_ $$ndoi:10.1007/s00422-008-0252-y
000004068 8564_ $$uhttp://dash.harvard.edu/handle/1/4454674$$zDASH:1/4454674
000004068 909C0 $$Y2008
000004068 909C4 $$dhttp://dash.harvard.edu/handle/1/4454674$$pDASH:1/4454674
000004068 980__ $$aDASH