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Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
Published on: August 9, 2016
Engineered implementations of spatial computation in biological systems
Soutrick Das1, Jurgen Riedel1, Kathleen Jy Zhang1
1Department of Cell and Developmental Biology, University College London, London, UK.
None:
The field of biological computation has advanced significantly by leveraging natural cellular processes for sophisticated information processing. This review explores how spatially distributed and compartmentalised frameworks for engineered biological computation move beyond traditional single-cell logic systems. By emulating natural phenomena such as morphogen gradients and cellular compartmentalisation, synthetic spatial computing systems have the potential to achieve scalability, robustness, and adaptability. By integrating spatial and adaptive computation, synthetic biology can tackle complex computational challenges that move beyond traditional computing architectures, paving the way for novel therapeutic, environmental, and diagnostic tools.
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