Makarov Roman, Pagkalos Michalis, Poirazi Panayiota
Institute of Molecular Biology and Biotechnology (IMBB), Foundation for Research and Technology Hellas (FORTH), Heraklion, 70013, Greece.
Department of Biology, University of Crete, Heraklion, 70013, Greece.
ArXiv. 2023 Jun 12:arXiv:2306.07101v1.
The brain is a highly efficient system evolved to achieve high performance with limited resources. We propose that dendrites make information processing and storage in the brain more efficient through the segregation of inputs and their conditional integration via nonlinear events, the compartmentalization of activity and plasticity and the binding of information through synapse clustering. In real-world scenarios with limited energy and space, dendrites help biological networks process natural stimuli on behavioral timescales, perform the inference process on those stimuli in a context-specific manner, and store the information in overlapping populations of neurons. A global picture starts to emerge, in which dendrites help the brain achieve efficiency through a combination of optimization strategies balancing the tradeoff between performance and resource utilization.
大脑是一个高度高效的系统，其进化目的是利用有限的资源实现高性能。我们提出，树突通过输入的分离及其经由非线性事件的条件整合、活动与可塑性的区室化以及通过突触聚类的信息绑定，使大脑中的信息处理和存储更加高效。在能量和空间有限的现实场景中，树突帮助生物网络在行为时间尺度上处理自然刺激，以上下文特定的方式对这些刺激执行推理过程，并将信息存储在重叠的神经元群体中。一幅全局图景开始浮现，即树突通过平衡性能与资源利用之间权衡的优化策略组合，帮助大脑实现高效运作。
