Neuroscience + Physics + Physiology

Consciousness: a systems view across brain, body, and cosmos.

A hybrid map of established science, frontier engineering, and carefully bounded speculation. The goal is actionable research pathways: what we can test now, what we can build next, and what remains open.

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Working stance

Evidence first, testable claims.

Speculative ideas labeled.

Ethics and safety in view.

Core Triad

Neuroscience — circuits, oscillations, and network dynamics.

Physiology — body rhythms, autonomic regulation, energy metabolism.

Physics — information, fields, noise, and measurement limits.

Consciousness is framed here as an emergent property of coupled systems: neural activity plus bodily regulation plus environmental interaction.

Evidence Map

EEG/MEG oscillations correlate with attention, memory, and perception.
Thalamocortical loops support sensory integration and global broadcasting.
Autonomic signals (HRV, respiration) modulate cognition and awareness.
Energy constraints shape brain computation and plasticity.

observe -> model -> perturb -> measure -> refine

Frontier Engineering

Bionic eye — retinal prosthetics, optogenetics, and cortical visual pipelines.

Neuromorphic computing — spiking networks, low-power event-driven inference.

tDCS/tACS — field-based modulation with cautious, measurable protocols.

Biocomputation — wet-lab computing, cellular signaling, and biohybrid systems.

Microwave engineering — sensing, tissue-safe coupling, and RF neuroscience tools.

Bioelectric + Bio-wave Focus

Brain waves — delta, theta, alpha, beta, gamma bands.

Peripheral signals — EMG, EOG, HRV, respiration, GSR.

Human energy — metabolic load, thermodynamics, and neural efficiency.

Mycelial signaling — fungi networks and spike-like signaling patterns.

"Energy" is used here in the physiological sense: measurable electrical activity, metabolic cost, and signal propagation.

Open Questions (Speculative)

Can spiking interconnectivity in non-neural systems inform new computational primitives?
Are there useful gravitational computation metaphors beyond current physics limits?
What does quantum entanglement imply for information theory in biological systems?
How do multi-scale rhythms (cells → networks → body → environment) coordinate awareness?

These are research prompts, not settled claims. Experiments should be designed for falsifiability.

Practical Research Tracks

Build EEG pipelines: clean signal, compute bandpower, extract features.
Map cognitive tasks to metrics (focus, engagement, stress).
Design closed-loop feedback experiments with clear baselines.
Prototype neuromorphic inference for low-power, real-time decisions.
Compare bioelectric signatures across tasks and environments.

Experiment Generator

Generate a focused experiment plan without opening the tutor panel.

Ethics + Safety

Use noninvasive approaches first; track consent and data privacy.

Separate personal experimentation from clinical claims.

Log protocols, exposure, and outcomes for reproducibility.

Run a guided BCI session Find peer-reviewed resources

Next Experiments (IA Tutor)

Launch a prefilled IA Tutor prompt to generate an experiment plan, task schedule, and metrics.

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