Spike-frequency adaptation is the reduction of a neuron’s firing rate to a stimulus of constant intensity. In the locust, the Lobula Giant Movement Detector (LGMD) is a visual interneuron that exhibits rapid adaptation to both current injection and visual stimuli. Here, a reduced compartmental model of the LGMD is employed to explore adaptation’s role in selectivity for stimuli whose intensity changes with time. We show that supralinearly increasing current injection stimuli are best at driving a high spike count in the response, while linearly increasing current injection stimuli (i.e., ramps) are best at attaining large firing rate changes in an adapting neuron. This result is extended with in vivo experiments showing that the LGMD’s response to translating stimuli having a supralinear velocity profile is larger than the response to constant or linearly increasing velocity translation. Furthermore, we show that the LGMD’s preference for approaching versus receding stimuli can partly be accounted for by adaptation. Finally, we show that the LGMD’s adaptation mechanism appears well tuned to minimize sensitivity for the level of basal input.
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Ha, Go Eun
Lee, Jaekwang
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Korea Inst Sci & Technol, Ctr Neural Sci, Seoul 02792, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Lee, Jaekwang
Kwak, Hankyul
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Kwak, Hankyul
Song, Kiyeong
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Song, Kiyeong
Kwon, Jea
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Korea Inst Sci & Technol, Ctr Neural Sci, Seoul 02792, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Kwon, Jea
Jung, Soon-Young
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Korea Inst Sci & Technol, Ctr Neural Sci, Seoul 02792, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Jung, Soon-Young
Hong, Joohyeon
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Hong, Joohyeon
Chang, Gyeong-Eon
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Chang, Gyeong-Eon
Hwang, Eun Mi
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Korea Inst Sci & Technol, Ctr Funct Connect, Seoul 02792, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Hwang, Eun Mi
Shin, Hee-Sup
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Inst for Basic Sci Korea, Ctr Cognit & Social, Daejeon 34141, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Shin, Hee-Sup
Lee, C. Justin
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Korea Inst Sci & Technol, Ctr Neural Sci, Seoul 02792, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea
Lee, C. Justin
Cheong, Eunji
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Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South KoreaYonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 03722, South Korea