A bounded update of selected associations or weights based on observed signals.
37 · Memory & Learning
Synaptic plasticity
in GenOS.
A bounded update of selected associations or weights based on observed signals.
DEFINITION AND SCIENCE
What it means
in GenOS.
Biological synapses change under activity and biochemical conditions. GenOS uses the term for bounded updates to software associations; the analogy does not establish biological fidelity or demonstrate learning quality without controlled evaluation.
Synaptic efficacy changes with activity. The software analogy motivates bounded association updates, whose usefulness must be tested independently.
A bounded update of selected associations or weights based on observed signals.
A simple bounded update can be written w′=clip(w+η·δ, w_min, w_max), with learning rate η and observed signal δ. The update rule, signal provenance, and evaluation set determine its meaning.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Synaptic plasticity
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Observe an update signalINPUT
02Adjust bounded associationMECHANISM
03Evaluate later retrievalCONDITIONAL OUTCOME
Current transition · Step 1Observe an update signal
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
PROCESS AND USE
How it works
at a glance.
Observe an update signal
A bounded update of selected associations or weights based on observed signals.
Adjust bounded association
A simple bounded update can be written w′=clip(w+η·δ, w_min, w_max), with learning rate η and observed signal δ. The update rule, signal provenance, and evaluation set determine its meaning.
Evaluate later retrieval
Evaluate later retrieval. Biological synapses change under activity and biochemical conditions. GenOS uses the term for bounded updates to software associations; the analogy does not establish biological fidelity or demonstrate learning quality without controlled evaluation.
RUNTIME IMPLEMENTATION
What is connected,
and how far.
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.
Bounded association updates exist in the AGOW plasticity path; this is a software adaptation, not a neural simulation.
Failure modes have not yet been separately cataloged for this entry; follow the source and evidence links before relying on the mechanism.
PRIMARY RESEARCH · MECHANISM LEVEL
The mechanism
behind the analogy.
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
Guo-qiang Bi and Mu-ming Poo · The Journal of Neuroscience 18(24), 10464–10472
Reports timing-dependent changes in cultured neurons. A runtime weight update is an engineered rule and does not inherit the biological mechanism or its causal claims.
Open publication ↗Primary research describes the cited mechanism; specific technologies may instead cite their original technical documentation. These sources provide context and do not validate the GenOS implementation.
EVIDENCE AND LIMITS
Scope and validation boundaries
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.