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respyra: A general-purpose respiratory motor control tracking toolbox for interoception research
No full textRespiratory interoception is increasingly recognized as a key modality linking bodily
sensation to emotional experience and self-regulation. However, few tools exist for studying
the sensorimotor dynamics of voluntary breathing control. Here we present respyra, an
open-source Python toolbox that integrates a Vernier Go Direct Respiration Belt with
PsychoPy to enable real-time respiratory motor control tracking experiments. Participants
follow a sinusoidal target with their breathing while receiving continuous visual
biofeedback. The toolbox supports configurable experimental conditions including
multi-frequency target waveforms and visuomotor perturbations (visual gain manipulation),
in which the displayed breathing trace is amplified or attenuated relative to ground truth.
We report proof-of-concept data from a single participant completing six trials alternating
between veridical feedback and a 1.5× gain perturbation condition. Results demonstrate
that the participant achieved accurate respiratory tracking (overall MAE = 0.174N) and
that the gain perturbation reliably increased tracking error (perturbed MAE = 0.240N)
relative to veridical feedback (MAE = 0.107N), while remaining learnable within the
session. The toolbox is freely available and designed to facilitate future research on
respiratory sensorimotor control, interoceptive learning, and breathing-based interventions
Protocol for a systematic review on brain-derived signals related to ball kicking movement in soccer
No full textThe project aims to collate the evidence of literature studies that have evaluated brain signals related to ball kicking movement, through a systematic review
Testing Whether Pore Symmetry Predicts Fractal Memory in Ion Channels
No full textPre-registration of zero-parameter predictions for fractal memory (Hurst exponents) in ion channels. The formula H = 1 − 1/B(n), where B(n) is the Burnside orbit count under Cn pore symmetry, predicts Hurst exponents for five symmetry classes (C2–C6) before experimental data collection for C3, C5, and C6. Full document with hypotheses, methods, analysis plan, sample size justification, and falsification criteria attached as PDF