network adaptation improves temporal representation of naturalistic stimuli in drosophila eye ii mechanisms网络适应性的改善时间表示自然的刺激果蝇眼睛ii机制.pdfVIP
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network adaptation improves temporal representation of naturalistic stimuli in drosophila eye ii mechanisms网络适应性的改善时间表示自然的刺激果蝇眼睛ii机制
Network Adaptation Improves Temporal Representation of Naturalistic Stimuli in Drosophila Eye: II Mechanisms 1. 1. 1 2 3,4 Anton Nikolaev , Lei Zheng , Trevor J. Wardill , Cahir J. O’Kane , Gonzalo G. de Polavieja , Mikko Juusola1,5* 1 Department of Biomedical Science, University of Sheffield, Sheffield, United Kingdom, 2 Department of Genetics, University of Cambridge, Cambridge, United Kingdom, ´ ´ ´ ´ 3 Department of Theoretical Physics, Universidad Autonoma de Madrid, Madrid, Spain, 4 Instituto ‘Nicolas Cabrera’ de Fısica de Materiales, Universidad Autonoma de Madrid, Madrid, Spain, 5 State Key Laboratory of Cognitive Neuroscience, Beijing Normal University, Beijing, China Abstract Retinal networks must adapt constantly to best present the ever changing visual world to the brain. Here we test the hypothesis that adaptation is a result of different mechanisms at several synaptic connections within the network. In a companion paper (Part I), we showed that adaptation in the photoreceptors (R1–R6) and large monopolar cells (LMC) of the Drosophila eye improves sensitivity to under-represented signals in seconds by enhancing both the amplitude and frequency distribution of LMCs’ voltage responses to repeated naturalistic contrast series. In this paper, we show that such adaptation needs both the light-mediated conductance and feedback-mediated synaptic conductance. A faulty feedforwa
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