{
"papers": [
{
"doi": "10.3389/frai.2025.1654716",
"value": null,
"cite_key": "Chavez-Autor2025",
"value_source_sentence": "This conceptual analysis (i) formalizes <i>novelty</i>, <i>usefulness</i>, and <i>diversity</i> with operational definitions; (ii) develops multiple gain-update policies (exponential, linear, logistic) with stability constraints and sensitivity expectations; (iii) derives falsifiable behavioral indi"
},
{
"doi": "10.3389/fnetp.2025.1589566",
"value": null,
"cite_key": "Dimulescu2025",
"value_source_sentence": "Overall, our results demonstrate that the coarse-grained dynamics is robust to changes in both model type and network resolution."
},
{
"doi": "10.1101/2025.05.14.654005",
"value": null,
"cite_key": "Veneto2025",
"value_source_sentence": "Our results reveal that, in the absence of excitatory scaling, PV-to-E scaling can effectively compensate and rescue memory specificity, highlighting the presence of degenerate mechanisms in the brain."
},
{
"doi": "10.1371/journal.pbio.3003451",
"value": null,
"cite_key": "Schulz2025",
"value_source_sentence": "Our analysis of T1 MRI data from 46,381 UK Biobank participants reveals that simpler machine learning models, and notably those with excessive regularization, demonstrate superior sensitivity to disease-relevant changes compared to their more complex counterparts, despite being less accurate in chro"
},
{
"doi": "10.1101/2025.09.16.676508",
"value": "qualitative - variable parameters, stable output",
"cite_key": null,
"value_source_sentence": "<h4>Summary</h4> Neural circuits are composed of different neuron types that exhibit distinctly different computational properties resulting from the sets of ion channels expressed. Profound insight exists into how neural computations arise from the precise regulation of ion channels (Armstrong et "
}
],
"description": "Comparison of parameter degeneracy findings across different model systems, showing that many parameter combinations produce similar dynamics",
"n_definition": "number of parameter sets tested",
"comparison_type": "parameter_degeneracy",
"taxonomic_level": "N/A - computational",
"comparison_title": "Parameter sensitivity and degeneracy across neural circuit models",
"homogeneity_check": "Studies use different model organisms and circuit types. Degeneracy appears to be a general principle but the degree varies with model complexity."
}