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2025
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| Online Access: | https://doi.org/10.5281/zenodo.17843396 |
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| _version_ | 1866902021677776896 |
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| author | Ororbia, Alexander Gebhardt, William Mali, Ankur |
| author_facet | Ororbia, Alexander Gebhardt, William Mali, Ankur |
| contents | <h2>Highlights</h2> <p>This is the official release of ngc-learn version 3.0.0. Major updates/upgrades made to its backend (ngc-sim-lib) and all neuroscience components/tools have been refactored/updated to be compliant with new format/changes (all unit-tests passed). In addition, the ngc-museum has been revised to reflect new format/backend. In addition, new tools, models, and components are included in this stable release, including standard dynamic synapses, a mini-suite of mixture models for density analysis, and new models in the museum including the harmonium and RL-centric SNN.</p> <p>The following key/recent updates have been made (this list is non-exhaustive):</p> <ul> <li>(major) upgrade of framework/components to integrate w/ upgrade ngc-sim-lib - small speedup as a result of the changes</li> <li>mini-suite of in-built mixture models now in "utils.density"; these include full Gaussian mixture model (GMM), Bernoulli mixture model (BMM), and exponential mixture model (EMM) (Note: tutorial for GMM included in docs)</li> <li>new harmonium exhibit and walkthrough tutorial</li> <li>new RL-SNN exhibit and walkthrough tutorial</li> <li>new dynamic synapses supported - exponential, double-exponential, and alpha synapses</li> <li>convenience integrate-and-fire component included</li> <li>bernoulli error-cell component included</li> <li>new Nesterov's accelerated gradient (NAG) update rule included in in-built optimize tools</li> <li>Rao&Ballard PC model now featured as the exhibit model in the "pc_recon" location of museum</li> <li>ngc-lava/lava support has been removed from the v3 release</li> <li>docs have been reorganized / cleaned up to be v3-compliant (and tested offline); new intro docs written to reflect new ngc-sim-lib and ngc-learn formatting</li> <li>minor patches / bug fixes throughout, corrections to typo's/errors in docs</li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17843396 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ngc-learn Ororbia, Alexander Gebhardt, William Mali, Ankur <h2>Highlights</h2> <p>This is the official release of ngc-learn version 3.0.0. Major updates/upgrades made to its backend (ngc-sim-lib) and all neuroscience components/tools have been refactored/updated to be compliant with new format/changes (all unit-tests passed). In addition, the ngc-museum has been revised to reflect new format/backend. In addition, new tools, models, and components are included in this stable release, including standard dynamic synapses, a mini-suite of mixture models for density analysis, and new models in the museum including the harmonium and RL-centric SNN.</p> <p>The following key/recent updates have been made (this list is non-exhaustive):</p> <ul> <li>(major) upgrade of framework/components to integrate w/ upgrade ngc-sim-lib - small speedup as a result of the changes</li> <li>mini-suite of in-built mixture models now in "utils.density"; these include full Gaussian mixture model (GMM), Bernoulli mixture model (BMM), and exponential mixture model (EMM) (Note: tutorial for GMM included in docs)</li> <li>new harmonium exhibit and walkthrough tutorial</li> <li>new RL-SNN exhibit and walkthrough tutorial</li> <li>new dynamic synapses supported - exponential, double-exponential, and alpha synapses</li> <li>convenience integrate-and-fire component included</li> <li>bernoulli error-cell component included</li> <li>new Nesterov's accelerated gradient (NAG) update rule included in in-built optimize tools</li> <li>Rao&Ballard PC model now featured as the exhibit model in the "pc_recon" location of museum</li> <li>ngc-lava/lava support has been removed from the v3 release</li> <li>docs have been reorganized / cleaned up to be v3-compliant (and tested offline); new intro docs written to reflect new ngc-sim-lib and ngc-learn formatting</li> <li>minor patches / bug fixes throughout, corrections to typo's/errors in docs</li> </ul> |
| title | ngc-learn |
| url | https://doi.org/10.5281/zenodo.17843396 |