Microelectrode array (MEA)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Meartframework0.742
• DNA, bioelectric fields, and specialized AI hardware blur hardware/software distinctions.claim0.706
  Biological and technological systems increasingly manifest properties of both hardware and software simultaneously.
• Exponential Moving Average (EMA)concept0.705
  Used to estimate gradients dynamically, with forgetting rate β.
• Memesconcept0.704
  Units of cultural information; cited as an analogy for bioelectric control hijacking.
• µ is an applicative homomorphism: µ(pure a) = pure a and µ(imf <*> imx) = µ imf <*> µ imx.claim0.701
  Result for Image applicative specification.
• Principal components analysis (PCA)method0.697
  Statistical method used to analyze neural activity data.
• Membrane voltage (Vmem)concept0.696
  The resting potential across cell membranes; a coarse-grained bioelectrical parameter that encodes pattern information.
• Steering vectors from µ(0→2) slightly outperform µ(1→2) for instruction discovery across datasets and modelsfinding0.687
  Shows that contrasting No Reflection with Triggered Reflection provides a stronger signal than Intrinsic vs Triggered.