THALis: motor-manifold reading map

motor manifold papers → keep the observation map in mind, not just the nice latent-space plots. how much of that structure can i actually see through 8 scalp channels? also how much is just the task being simple

research question: which aspects of motor-system dynamics can be inferred from scalp EEG, and which aspects are lost through observation, mixing and noise? Keep the latent neural system distinct from the measured electrode signals.

Motor-cortex connectivity diagram

Analyzing Neural Time Series Data

reading map from the journal: neural manifolds and hand movements; motor-cortex microcircuits; neural mass/field models; topological analysis of EEG; Riemannian classification; dynamical constraints on neural populations. These strands motivate different parts of the project and do not jointly establish that scalp EEG recovers all motor intentions.

saved references: TDA for EEG review, hand-movement manifold paper, motor-cortex microcircuits, and Riemannian BCI classification.

• questions for the model: define the state being reconstructed, the observation operator, the available channels, and the target output. A population-level manifold result from invasive recordings is a motivation to examine scalp data, not a guarantee that the same information is observable non-invasively.