Engineered biological neuronal networks as basic logic operators.

IF 2.1 4区 医学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in Computational Neuroscience Pub Date : 2025-04-28 eCollection Date: 2025-01-01 DOI:10.3389/fncom.2025.1559936
Joël Küchler, Katarina Vulić, Haotian Yao, Christian Valmaggia, Stephan J Ihle, Sean Weaver, János Vörös
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引用次数: 0

Abstract

We present an in vitro neuronal network with controlled topology capable of performing basic Boolean computations, such as NAND and OR. Neurons cultured within polydimethylsiloxane (PDMS) microstructures on high-density microelectrode arrays (HD-MEAs) enable precise interaction through extracellular voltage stimulation and spiking activity recording. The architecture of our system allows for creating non-linear functions with two inputs and one output. Additionally, we analyze various encoding schemes, comparing the limitations of rate coding with the potential advantages of spike-timing-based coding strategies. This work contributes to the advancement of hybrid intelligence and biocomputing by offering insights into neural information encoding and decoding with the potential to create fully biological computational systems.

作为基本逻辑算子的工程生物神经网络。
我们提出了一个体外神经网络与控制拓扑能够执行基本的布尔计算,如NAND和OR。在高密度微电极阵列(HD-MEAs)上的聚二甲基硅氧烷(PDMS)微结构中培养的神经元通过胞外电压刺激和峰活动记录实现精确的相互作用。我们的系统架构允许创建具有两个输入和一个输出的非线性函数。此外,我们还分析了各种编码方案,比较了速率编码的局限性和基于峰值时间的编码策略的潜在优势。这项工作通过提供对神经信息编码和解码的见解,以及创造完全生物计算系统的潜力,为混合智能和生物计算的进步做出了贡献。
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来源期刊
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES
CiteScore
5.30
自引率
3.10%
发文量
166
审稿时长
6-12 weeks
期刊介绍: Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions. Also: comp neuro
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