Information Encoding and Decoding in In Vitro Neural Networks on Micro Electrode Arrays through Stimulation Timing.

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Bibliographic Details
Title:	Information Encoding and Decoding in In Vitro Neural Networks on Micro Electrode Arrays through Stimulation Timing.
Authors:	LINDELL, TRYM A. E.¹ trym.a.e.lindell@gmail.com, RAMSTAD, OLA H.¹, SANDVIG, IOANNA², SANDVIG, AXEL², NICHELE, STEFANO³
Source:	International Journal of Unconventional Computing. 2025, Vol. 20 Issue 3, p155-195. 41p.
Subjects:	Encoding, Decoders & decoding, Action potentials, Artificial neural networks, Microelectrodes, Computational neuroscience
Abstract:	A primary challenge in utilizing in vitro biological neural networks for computations is finding good encoding and decoding schemes for inputting and decoding data to and from the networks. Furthermore, identifying the optimal parameter settings for a given combination of encoding and decoding schemes adds additional complexity to this challenge. In this study we explore stimulation timing as an encoding method, i.e. we encode information as the delay between stimulation pulses and identify the bounds and acuity of stimulation timings which produce linearly separable spike responses. We also examine the optimal readout parameters for a linear decoder in the form of epoch length, time bin size and epoch offset. Our results suggest that stimulation timings between 36 and 436ms may be optimal for encoding and that different combinations of readout parameters may be optimal at different parts of the evoked spike response. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	A primary challenge in utilizing in vitro biological neural networks for computations is finding good encoding and decoding schemes for inputting and decoding data to and from the networks. Furthermore, identifying the optimal parameter settings for a given combination of encoding and decoding schemes adds additional complexity to this challenge. In this study we explore stimulation timing as an encoding method, i.e. we encode information as the delay between stimulation pulses and identify the bounds and acuity of stimulation timings which produce linearly separable spike responses. We also examine the optimal readout parameters for a linear decoder in the form of epoch length, time bin size and epoch offset. Our results suggest that stimulation timings between 36 and 436ms may be optimal for encoding and that different combinations of readout parameters may be optimal at different parts of the evoked spike response. [ABSTRACT FROM AUTHOR]
ISSN:	15487199
DOI:	10.32908/ijuc.v20.300924