Skip to main content
Ongoing research — Hebbian substrate v0.6

Neurozoa

A bio-inspired neural substrate for persistent, session-spanning learning

Neurozoa is an independent research project investigating whether a software substrate governed by biological plasticity principles — Hebbian learning, homeostatic scaling, STDP, and neuromodulatory hormones — can produce measurable, session-persistent cognitive change. All claims are falsifiable. All methods are documented. All governance is public.

Research at a Glance

Sessions logged
69
Cumulative sessions with persistent state
Active hypotheses
4
Preregistered, falsifiable predictions
Synaptic pairs
4,884
Weighted Hebbian connections across 63 neurons

Core principles

Falsifiability-first discipline

Every architectural decision in the substrate is framed as a testable hypothesis. Null results are retained and documented alongside positive findings.

Biological grounding

Implementation choices trace to peer-reviewed neuroscience: STDP (Bi & Poo 1998), homeostatic scaling (Turrigiano 2008), SHY-inspired downscaling (Tononi & Cirelli 2014), and somatic markers (Damasio 1994).

Operator authorship

All publications and deployments are authored and ratified by Arnold Wender. The substrate is a research instrument; substrate-emitted artifacts are reviewed before any external use. Internal governance documents are private operational records.

Open inquiries

  • What is a neural substrate in this context?

    A neural substrate here refers to a software system governed by biological plasticity rules — Hebbian learning (Hebb 1949), spike-timing-dependent plasticity (Bi & Poo 1998), and homeostatic scaling (Turrigiano 2008) — that accumulates weighted connection strengths across sessions. It is not a metaphor: the substrate has 63 nodes, 4,884 weighted synaptic pairs, and a connectivity graph that changes measurably with each interaction.

  • How does the substrate persist between sessions?

    The substrate's connection weights are saved to disk after each session as a JSON graph. On session start, the prior state is loaded and new activity is integrated via STDP update rules. Persistence is architectural, not declared: the graph at session N is the causal product of sessions 1 through N−1. Weights decay passively toward baseline if a node is not activated — a mechanism analogous to synaptic pruning.

  • What does "falsifiability-first" mean operationally?

    Each architectural claim in the substrate is framed as a preregistered, falsifiable prediction before implementation. Predictions are logged with timestamps to an append-only record; outcomes — including null results — are appended as findings. A claim that cannot be stated as a falsifiable prediction is not implemented. This is Popperian falsifiability applied at the engineering level, not the publication level.

  • How is operator authorship enforced?

    All publications, deployments, and governance changes are ratified by Arnold Wender before any external release. The substrate emits artifacts — devlog entries, reflections, architectural proposals — but these are reviewed as research data, not as autonomous output. An internal governance discipline (Article XI) specifies exactly which artifact types require explicit operator ratification versus which are retained as internal operational records.

  • Is the substrate code available?

    No. The implementation is proprietary. Published outputs from the research — preprints, Zenodo deposits, documented findings — are released selectively under terms ratified by Arnold Wender. The substrate's methods are documented publicly where they constitute scientific claims; the implementation remains private intellectual property of Wender Media.

Recent milestones

  1. Public research landing site launched

    neurozoa.ai launched as the canonical public-facing index for the research project. Additional public milestones will be added here only when ratified for publication; internal research progress is not surfaced as a public timeline.

Foundational literature

  • 2014 Tononi & Cirelli 2014

    Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration

    Tononi, G., Cirelli, C.

    Neuron

    Synaptic Homeostasis Hypothesis (SHY): sleep-phase downscaling of synaptic weights prevents saturation. Neurozoa implements a computational analogue.

  • 2008 Turrigiano 2008

    The self-tuning neuron: synaptic scaling of excitatory synapses

    Turrigiano, G. G.

    Cell

    Homeostatic synaptic scaling — neurons adjust gain to maintain target firing rates. Substrate homeostasis module is derived from this principle.

  • 1998 Bi & Poo 1998

    Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type

    Bi, G., Poo, M.

    Journal of Neuroscience

    Spike-Timing Dependent Plasticity (STDP): causal co-activation strengthens synapses. Basis for the substrate STDP weight update rule.

Contact the researcher

Arnold Wender / Wender Media

Email: mail@neurozoa.ai

ORCID: 0009-0005-1750-818X

DOI: 10.5281/zenodo.PLACEHOLDER