Engineered biological neuronal networks as basic logic operators DOI Creative Commons

Joël Küchler,

Katarina Vulić, Haotian Yao

et al.

Frontiers in Computational Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 28, 2025

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 spiking activity recording. The architecture our system allows for creating non-linear functions two inputs one output. Additionally, we analyze various encoding schemes, comparing the limitations rate coding potential advantages spike-timing-based strategies. This work contributes to advancement hybrid intelligence biocomputing by offering insights into neural information decoding create fully biological computational systems.

Language: Английский

An in vitro platform for characterizing axonal electrophysiology of individual human iPSC-derived nociceptors DOI
Blandine Clément,

Lorenzo Petrella,

Lea Wallimann

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: unknown, P. 117418 - 117418

Published: April 1, 2025

Language: Английский

Citations

0
Engineered biological neuronal networks as basic logic operators DOI Creative Commons

Joël Küchler,

Katarina Vulić, Haotian Yao

et al.

Frontiers in Computational Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 28, 2025

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 spiking activity recording. The architecture our system allows for creating non-linear functions two inputs one output. Additionally, we analyze various encoding schemes, comparing the limitations rate coding potential advantages spike-timing-based strategies. This work contributes to advancement hybrid intelligence biocomputing by offering insights into neural information decoding create fully biological computational systems.

Language: Английский

Citations

0