The insect mushroom body, an experience-dependent recoding device

被引:89
作者
Menzel, Randolf [1 ]
机构
[1] Free Univ Berlin, D-14195 Berlin, Germany
关键词
Honeybee; Apis mellifera; Mushroom body; Kenyon cells; Matrix memory; Microcircuit; Mushroom body extrinsic neurons; Recurrent inhibition; PE1; neuron; PCT neurons; LONG-TERM-MEMORY; HONEYBEE APIS-MELLIFERA; DIVISION-OF-LABOR; EXTRINSIC NEURONS; OLFACTORY REPRESENTATIONS; IDENTIFIED NEURON; VOLUME CHANGES; BODIES; BRAIN; SPARSE;
D O I
10.1016/j.jphysparis.2014.07.004
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The insect mushroom body is a higher order integration center involved in cross-sensory integration and memory formation. The relatively large mushroom bodies of social Hymenoptera (e.g. bees) have been related to the demands of a social system and the neural processes required to allow the animal to navigate in an ever-changing environment. Here I review studies aiming to elucidate the neural processes that take place at the input and the output sites of the mushroom bodies and that underlie cross-sensory integration, associative learning, memory storage and retrieval. Highly processed sensory information is received at modality-specific compartments of the input site, the calyx. The large number of intrinsic neurons of the mushroom body receive multiple sensory inputs establishing combinations of processed sensory stimuli. A matrix-like memory structure characterizes the dendritic area of the intrinsic neurons allowing storage of rich combinations of sensory information. The rather small number of extrinsic neurons read out from multiple intrinsic neurons, thereby losing their sensory coding properties. The response properties of these neurons change according to the value of stimulus combinations experienced. It is concluded that the mushroom bodies transform the highly dimensional sensory coding space into a low dimensional coding space of value-based information. A model of such an experience-dependent recoding device is presented and compared with the available data. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:84 / 95
页数:12
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