Изучайте ENA через решения об анализе.

33 урока

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МоделированиеСредний35 мин30 июл. 2026 г.

Use Means Rotation for a Prespecified Two-Group Question

Use the shared synthetic design-talk dataset to practise deciding when the first ENA axis should align with the difference between exactly two prespecified group means, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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means rotationtwo-group contrastMR1

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МоделированиеСредний35 мин31 июл. 2026 г.

Урок Академии ENA 14

Interpret SVD Dimensions and Co-registration

Use the shared synthetic design-talk dataset to practise understanding what SVD axes summarize and whether network node positions are aligned well enough with projected unit coordinates for interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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singular value decompositionco-registrationvariance explained

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МоделированиеСредний35 мин1 авг. 2026 г.

Урок Академии ENA 15

Reproduce an ENA Model Across Implementations

Use the shared synthetic design-talk dataset to practise checking whether two ENA implementations produce equivalent accumulated connections, normalized vectors, projections, and interpretations under matched settings, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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cross-implementation parityrENAjENA

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Дизайн исследованияСредний35 мин2 авг. 2026 г.

Урок Академии ENA 16

Run Window and Segmentation Sensitivity as a Model Grid

Use the shared synthetic design-talk dataset to practise separating two coupled context decisions by evaluating a small prespecified grid of segmentation and moving-window alternatives, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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sensitivity gridsegmentationwindow size

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ИнтерпретацияСредний35 мин3 авг. 2026 г.

Урок Академии ENA 17

Read ENA Subtraction Networks Without Overclaiming

Use the shared synthetic design-talk dataset to practise interpreting a difference graph as edge-wise subtraction between comparable networks in one shared analytic space, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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subtraction networkdifference graphshared node positions

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ИнтерпретацияНачальный25 мин4 авг. 2026 г.

Урок Академии ENA 18

Trace Every Interpreted Edge Back to Excerpts

Use the shared synthetic design-talk dataset to practise building a reproducible route from an interpreted network edge to the units, rows, and source excerpts that contributed to it, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

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excerpt traceabilityedge provenanceinterpretive loop

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