Organoid Array

September 11, 2026 Refractory-period spectral theory and the array loop

Population density models of spiking neurons usually ignore the absolute refractory period. A new spectral theory shows it reshapes the transfer function, moves resonances, and can create oscillations, with a specific correction that matters for silicon neuron models.

September 10, 2026 MEG registration discipline and the array

The Active Visual Semantics dataset records five participants across ten MEG sessions each by freezing sensor-to-source geometry with individualised foam casts and validating every artefact rejection against the eye tracker. Its lesson for microelectrode arrays is that cross-session identity is an acquisition problem, not a post-processing one.

September 10, 2026 Network hysteresis and the MEA assay

Alexandersen and Bassett show that coupling pathological spreading to neuronal activity produces finite-amplitude invasion thresholds and endemic bistability, with transient input able to tip a network permanently between states. For MEA work the consequence is blunt: stimulation and disease-model assays are bifurcation experiments, and the array is the instrument built to run them.

September 9, 2026 Entrainment mapping needs better statistics, not more channels

Zhang, Wu, Zhang, and Thwaites compare frequentist and Bayesian Information Processing Pathway Maps on a 20-subject EMEG dataset of naturalistic speech. The frequentist map recovers the known loudness pathway; the uniform-prior Bayesian map shows anti-causal artifacts and a missing stage, a cautionary pilot for anyone decoding encoding from microelectrode array recordings.

September 9, 2026 Superconducting resonators with nonvolatile magnetic tuning

Tyumenev et al. show that Nb/Co/Nb/Co/Nb/Al split-ring resonators keep a roughly 4 MHz frequency shift at zero magnetic field after a 30 mT pulse, with threefold stronger inductance contrast from a proximitized aluminum overlayer. For MEA instrumentation the lesson sits in the readout chain: nonvolatile, zero-holding-power tuning is valuable, but the domain physics that stores the state also degrades the resonator.

September 8, 2026 Cross-modal coupling and the source prior

A simulation study of EEG source imaging tests whether neural-field transfer functions can add temporal constraints to geometric-eigenmode reconstruction. The analytically derived, independent-mode transfer functions consistently fail and often hurt, while empirically estimated cross-modal coupling improves reconstruction, most under noise. The lesson travels: priors on under-sampled neural data must be calibrated against measured dynamics, not just forward models.