Author
Nicolás Federico Galindez
Recent research
- AI & ComputingOpen access
A research program that preregisters its protocols publicly, runs each once, and re-verifies its quoted numbers mechanically can still be wrong in ways none of those safeguards detect. We report two audit rounds of such a program — ten preprints on perturbational complexity and r...
- BiologyOpen access
Simulation work (companion papers) indicates that perturbational complexity — the quantity behind the clinically validated PCI family of consciousness measures — reflects the reproducible dimensionality of a system's causal response, maximal at the edge of chaos on its stable sid...
- BiologyOpen access
The state-transition Perturbational Complexity Index (PCIst; Comolatti et al., 2019, Brain Stimulation) is the most practical validated measure of consciousness-related brain complexity, discriminating wakefulness from sleep, anesthesia and disorders of consciousness from the com...
- BiologyOpen access
Perturbational complexity distinguishes conscious from unconscious brain states, but our companion work showed that the standard estimator (PCIst) partly reflects a selection bias, and that what it tracks is the response's reproducible dimensionality (R-dim) — the number of respo...
- BiologyOpen access
A companion paper (doi:10.5281/zenodo.22168190, "What must a theory of perturbational complexity explain?") consolidated nine constraints and challenged any theory to pass them — including C3: debiased perturbational complexity (R-dim, the reproducible dimensionality of the evoke...
- BiologyOpen access
"Complexity is maximal at the edge of chaos" is among the most repeated claims in the dynamics of neural systems, and our own program confirmed its standard form: debiased perturbational complexity (R-dim, the reproducible dimensionality of the evoked response) traces an inverted...
- BiologyOpen access
Perturbational complexity is measured from field potentials, yet the quantity of interest lives in neuronal populations. Whether the field-level measurement reflects the reproducible richness of the underlying spiking activity — or a field-specific shadow — has never been tested,...
- BiologyOpen access
The lifetime of the coherent response: sealed laws of its rise, its peak, and its fall
When a recurrent network is perturbed, how long does its stimulus-locked response live? We define T_c as the post-stimulus time by which the coherent (cross-trial-reproducible) response accumulates 80% of its energy, and report its life-cycle as sealed results (public preregistra...
- BiologyOpen access
Across five preprints, this program measured how perturbational complexity behaves once its estimator is debiased, what quantity it tracks (the reproducible dimensionality of the evoked response, R-dim), and how that quantity depends on dynamics, trial count, species and arousal...
- BiologyOpen access
"Complexity is maximal at the edge of chaos" is among the most repeated claims in the dynamics of neural systems, and our own program confirmed its standard form: debiased perturbational complexity (R-dim, the reproducible dimensionality of the evoked response) traces an inverted...
- BiologyOpen access
Across five preprints, this program measured how perturbational complexity behaves once its estimator is debiased, what quantity it tracks (the reproducible dimensionality of the evoked response, R-dim), and how that quantity depends on dynamics, trial count, species and arousal...
- BiologyOpen access
Perturbational complexity is measured from field potentials, yet the quantity of interest lives in neuronal populations. Whether the field-level measurement reflects the reproducible richness of the underlying spiking activity - or a field-specific shadow - had never been tested,...
- BiologyOpen access
A companion paper (doi:10.5281/zenodo.22168191, "What must a theory of perturbational complexity explain?") consolidated nine constraints and challenged any theory to pass them — including C3: debiased perturbational complexity (R-dim, the reproducible dimensionality of the evoke...
- BiologyOpen access
Perturbational complexity distinguishes conscious from unconscious brain states, but companion work by this author showed that the standard estimator (PCIst) partly reflects a selection bias, and that what it tracks is the response's reproducible dimensionality (R-dim), estimated...
- AI & ComputingOpen access
An upper bound for the three-colour Ramsey number of the ten-cycle: R(C10,C10,C10) <= 26
We prove that R(C10, C10, C10) <= 26. The best upper bound recorded in theDynamic Survey of Small Ramsey Numbers (DS1, revision 18, April 2026) wasR3(C10) <= 3015, a specialization of a 1975 theorem of Erdos and Graham; thesurvey names R3(C10) as the first open case of Dzido's co...