Spike-timing-dependent plasticity as a computationally bounded timing-based update rule.
38 · Memory & Learning
STDP
in GenOS.
Spike-timing-dependent plasticity as a computationally bounded timing-based update rule.
DEFINITION AND SCIENCE
What it means
in GenOS.
Experiments on hippocampal neurons report changes that depend on the relative timing of pre- and postsynaptic spikes. A software timing rule is a chosen approximation and requires its own stability and outcome tests.
Experiments show that spike order affects some synaptic changes. A timing-dependent software rule borrows this structure but not the full cellular mechanism.
Spike-timing-dependent plasticity as a computationally bounded timing-based update rule.
A common pair-based form is Δw=A₊e^(−Δt/τ₊) for Δt>0 and Δw=−A₋e^(Δt/τ₋) for Δt<0. Parameters and sign convention must be stated; this equation is not evidence that GenOS implements it.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: STDP
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Measure spike orderINPUT
02Apply timing windowMECHANISM
03Bound the weight changeCONDITIONAL OUTCOME
Current transition · Step 1Measure spike order
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.
Measure spike order
Spike-timing-dependent plasticity as a computationally bounded timing-based update rule.
Apply timing window
A common pair-based form is Δw=A₊e^(−Δt/τ₊) for Δt>0 and Δw=−A₋e^(Δt/τ₋) for Δt<0. Parameters and sign convention must be stated; this equation is not evidence that GenOS implements it.
Bound the weight change
Bound the weight change. Experiments on hippocampal neurons report changes that depend on the relative timing of pre- and postsynaptic spikes. A software timing rule is a chosen approximation and requires its own stability and outcome tests.
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.
A bounded timing-based update primitive is available; the STDP equation on this page is illustrative and not a biological claim about GenOS.
The sign convention for Δt must be declared. · A simplified pair rule omits cell type, state, and biological context. · A computed software weight update is not evidence of biological learning.
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
Primary experimental characterization of timing-sensitive synaptic change; it motivates the analogy but does not validate software STDP implementations.
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.