Modeling natural neural networks of decision making with artificial neural networks

IF 2.3 4区 医学 Q3 NEUROSCIENCES
Akihiro Funamizu , Ryo Karakida
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引用次数: 0

Abstract

One main focus in neuroscience is to understand the relationship between decision making and various brain regions. Researchers use machine learning approaches to model the neural circuits of cerebral cortices, cerebellum, and basal ganglia. This review focuses on artificial neural networks (ANNs), particularly recurrent neural networks (RNNs), to model cortical functions for decision making. We first introduce the basic architecture of RNNs and explain how researchers compare the activity and circuits between artificial and biological networks. We also summarize how RNNs model the prefrontal and posterior parietal cortical in tasks involving short-term memory, perceptual decision making, and value-based decision making. We then show our recent challenges to develop a real-cyber hybrid network, that integrates neuronal activity in mice with RNN-based artificial units to better generate continuous-time body movements, compared to conventional RNNs that only use artificial units. The hybrid network tries to develop RNNs which have similar activity to the brain by using real neurons, rather than developing artificial RNNs and comparing their functions with biological brain. We propose that such integrative approaches in neuroscience and AI will further our understanding of both natural and artificial intelligence in the field of neuro-AI.
用人工神经网络建模自然神经网络的决策。
神经科学的一个主要焦点是了解决策与大脑各区域之间的关系。研究人员使用机器学习方法来模拟大脑皮层、小脑和基底神经节的神经回路。本文综述了人工神经网络(ANNs),特别是递归神经网络(RNNs),以模拟皮层功能的决策。我们首先介绍rnn的基本结构,并解释研究人员如何比较人工网络和生物网络之间的活动和电路。我们还总结了rnn如何在涉及短期记忆、感知决策和基于价值的决策的任务中对前额叶和后顶叶皮层进行建模。然后,我们展示了我们最近的挑战,即开发一个真实的网络混合网络,与仅使用人工单元的传统rnn相比,该网络将小鼠的神经元活动与基于rnn的人工单元相结合,以更好地产生连续时间的身体运动。混合网络试图通过使用真实的神经元来开发具有与大脑相似活动的rnn,而不是开发人工rnn并将其功能与生物大脑进行比较。我们认为,这种神经科学和人工智能的整合方法将进一步加深我们对神经人工智能领域的自然智能和人工智能的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuroscience Research
Neuroscience Research 医学-神经科学
CiteScore
5.60
自引率
3.40%
发文量
136
审稿时长
28 days
期刊介绍: The international journal publishing original full-length research articles, short communications, technical notes, and reviews on all aspects of neuroscience Neuroscience Research is an international journal for high quality articles in all branches of neuroscience, from the molecular to the behavioral levels. The journal is published in collaboration with the Japan Neuroscience Society and is open to all contributors in the world.
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