| .. |
|
dopamine_readout.py
|
Column limits on learned features; dopamine-trained spiking readout with calibrated decision neuron
|
2026-10-15 01:54:37 +03:00 |
|
fetch_fresh_test.py
|
Exact spiking pipeline simulator, fresh test set, night log
|
2026-10-15 00:13:52 +03:00 |
|
fetch_more.py
|
KNP_COL_PUNISH: dopamine punishment of wrong columns; learned k-means features for objects; extra data fetcher
|
2026-10-14 21:06:28 +03:00 |
|
final_fresh_test.py
|
One-time fresh-test evaluation of object pipelines
|
2026-10-15 00:43:38 +03:00 |
|
grid_v3.sh
|
Column limits on learned features; dopamine-trained spiking readout with calibrated decision neuron
|
2026-10-15 01:54:37 +03:00 |
|
grid_v3_more.sh
|
Column limits on learned features; dopamine-trained spiking readout with calibrated decision neuron
|
2026-10-15 01:54:37 +03:00 |
|
grid_v3_sparse.sh
|
Exact spiking pipeline simulator, fresh test set, night log
|
2026-10-15 00:13:52 +03:00 |
|
grid_v3_sparser.sh
|
Column limits on learned features; dopamine-trained spiking readout with calibrated decision neuron
|
2026-10-15 01:54:37 +03:00 |
|
kmeans_features.py
|
Online WTA feature learning; configurable active steps in spiking pipeline
|
2026-10-15 00:46:14 +03:00 |
|
make_knp_features.py
|
Delta-rule KNP: augmented MNIST robustness, object runs; report section
|
2026-10-15 06:50:34 +03:00 |
|
prepare_big.py
|
Log night experiments: spiking readout, learned object features, punishment
|
2026-10-14 21:17:39 +03:00 |
|
prepare_fresh_knp.py
|
One-time fresh-test evaluation of object pipelines
|
2026-10-15 00:43:38 +03:00 |
|
prepare_fresh_test.py
|
Exact spiking pipeline simulator, fresh test set, night log
|
2026-10-15 00:13:52 +03:00 |
|
run_k1600_online.sh
|
K=1600 neural-rule pipeline result
|
2026-10-15 02:32:32 +03:00 |
|
seeds_DE.sh
|
End-to-end neural-rule pipeline result; seed-variation script
|
2026-10-15 02:09:00 +03:00 |
|
spiking_pipeline.py
|
Column limits on learned features; dopamine-trained spiking readout with calibrated decision neuron
|
2026-10-15 01:54:37 +03:00 |
