Research map / Architectures and efficiency / Spiking networks
Sparse convolutional coding for neuronal assembly detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use sparse convolutional coding (l0 on activations, l1 on motifs) instead of PCA/ICA/scNMF for motif detection | neuronal assembly detection · synthetic spike data, tau=21 | ROC of neuron association | Helped |
| use sparse convolutional coding instead of PCA/ICA/scNMF for synchronous motifs | neuronal assembly detection · synthetic spike data, tau=1 | ROC of neuron association | No clear effect |
| use sparse convolutional coding instead of scNMF for short motifs | neuronal assembly detection · synthetic spike data, tau=7 | ROC of neuron association | No clear effect |
| add shuffled-data threshold and multi-run sorting to discard spurious motifs (ablation) | sparse convolutional coding · hippocampal CA1 data | between-run motif difference | Helped |
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