{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2025-09-03T19:42:28.302511+00:00", "custom_fields": { "code:codeRepository": "https://github.com/zorino96/Adaptive-Bias-Networks", "code:developmentStatus": { "id": "active", "title": { "en": "Active" } }, "code:programmingLanguage": [ { "id": "python", "title": { "en": "Python" } } ] }, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 2, "enabled": true, "entries": { "Adaptive-Bias-Networks-1.0.0.zip": { "access": { "hidden": false }, "checksum": "md5:1aec9e9deccb26526b51e3d074748c53", "ext": "zip", "id": "42797a44-aaed-495b-9150-921060937dc5", "key": "Adaptive-Bias-Networks-1.0.0.zip", "links": { "content": "https://zenodo.org/api/records/17049452/files/Adaptive-Bias-Networks-1.0.0.zip/content", "self": "https://zenodo.org/api/records/17049452/files/Adaptive-Bias-Networks-1.0.0.zip" }, "metadata": {}, "mimetype": "application/zip", "size": 4689, "storage_class": "L" }, "Tahir_ABN_2025.pdf.pdf": { "access": { "hidden": false }, "checksum": "md5:3c9860071a0bb330dd186867f8816a3c", "ext": "pdf", "id": "139ddd40-51f1-494e-b6b1-b799c59f960f", "key": "Tahir_ABN_2025.pdf.pdf", "links": { "content": "https://zenodo.org/api/records/17049452/files/Tahir_ABN_2025.pdf.pdf/content", "iiif_api": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/full/0/default.png", "iiif_base": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf", "iiif_canvas": "https://zenodo.org/api/iiif/record:17049452/canvas/Tahir_ABN_2025.pdf.pdf", "iiif_info": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/info.json", "self": "https://zenodo.org/api/records/17049452/files/Tahir_ABN_2025.pdf.pdf" }, "metadata": { "height": 792, "width": 612 }, "mimetype": "application/pdf", "size": 117909, "storage_class": "L" } }, "order": [], "total_bytes": 122598 }, "id": "17049452", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/17049452/access", "access_grants": "https://zenodo.org/api/records/17049452/access/grants", "access_links": "https://zenodo.org/api/records/17049452/access/links", "access_request": "https://zenodo.org/api/records/17049452/access/request", "access_users": "https://zenodo.org/api/records/17049452/access/users", "archive": "https://zenodo.org/api/records/17049452/files-archive", "archive_media": "https://zenodo.org/api/records/17049452/media-files-archive", "communities": "https://zenodo.org/api/records/17049452/communities", "communities-suggestions": "https://zenodo.org/api/records/17049452/communities-suggestions", "doi": "https://doi.org/10.5281/zenodo.17049452", "draft": "https://zenodo.org/api/records/17049452/draft", "file_modification": "https://zenodo.org/api/records/17049452/file-modification", "files": "https://zenodo.org/api/records/17049452/files", "latest": "https://zenodo.org/api/records/17049452/versions/latest", "latest_html": "https://zenodo.org/records/17049452/latest", "media_files": "https://zenodo.org/api/records/17049452/media-files", "parent": "https://zenodo.org/api/records/17049451", "parent_doi": "https://doi.org/10.5281/zenodo.17049451", "parent_doi_html": "https://zenodo.org/doi/10.5281/zenodo.17049451", "parent_html": "https://zenodo.org/records/17049451", "preview_html": "https://zenodo.org/records/17049452?preview=1", "quota_increase": "https://zenodo.org/api/records/17049452/quota-increase", "request_deletion": "https://zenodo.org/api/records/17049452/request-deletion", "requests": "https://zenodo.org/api/records/17049452/requests", "reserve_doi": "https://zenodo.org/api/records/17049452/draft/pids/doi", "self": "https://zenodo.org/api/records/17049452", "self_doi": "https://doi.org/10.5281/zenodo.17049452", "self_doi_html": "https://zenodo.org/doi/10.5281/zenodo.17049452", "self_html": "https://zenodo.org/records/17049452", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:17049452/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:17049452/sequence/default", "thumbnails": { "10": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E10,/0/default.jpg", "100": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E100,/0/default.jpg", "1200": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E1200,/0/default.jpg", "250": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E250,/0/default.jpg", "50": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E50,/0/default.jpg", "750": "https://zenodo.org/api/iiif/record:17049452:Tahir_ABN_2025.pdf.pdf/full/%5E750,/0/default.jpg" }, "versions": "https://zenodo.org/api/records/17049452/versions" }, "media_files": { "count": 1, "enabled": true, "entries": { "Tahir_ABN_2025.pdf.pdf.ptif": { "access": { "hidden": true }, "ext": "ptif", "id": "e5c004b3-38aa-46b5-a8b9-1edde7efb193", "key": "Tahir_ABN_2025.pdf.pdf.ptif", "links": { "content": "https://zenodo.org/api/records/17049452/files/Tahir_ABN_2025.pdf.pdf.ptif/content", "self": "https://zenodo.org/api/records/17049452/files/Tahir_ABN_2025.pdf.pdf.ptif" }, "metadata": null, "mimetype": "application/octet-stream", "processor": { "source_file_id": "139ddd40-51f1-494e-b6b1-b799c59f960f", "status": "finished", "type": "image-tiles" }, "size": 0, "storage_class": "L" } }, "order": [], "total_bytes": 0 }, "metadata": { "creators": [ { "person_or_org": { "family_name": "Mahdi", "given_name": "Zrng", "name": "Mahdi, Zrng", "type": "personal" } } ], "description": "

The process of feature learning in deep networks often
appears random and un-interpretable. To introduce
a more structured approach, we propose a method
to achieve ”Less Randomness” in neural computation through Adaptive Bias Networks (ABN). ABNs
replace the monolithic, static bias of a layer with
dynamic, per-neuron modulation mechanisms. Each
neuron learns to ”reason” about the input by generating a context-specific signal that adaptively reweights its own effective parameters. This is achieved
via a gating mechanism that consults a bank of specialized bias vectors. When integrated into a standard ResNet on the CIFAR-10 benchmark, our ABN
model demonstrates a consistent performance improvement over the baseline. This suggests that empowering individual neurons with adaptive reasoning
capabilities is a more efficient and powerful way to
structure model parameters, leading to less random
and more effective learning.

", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2025-09-03", "publisher": "Zenodo", "resource_type": { "id": "software", "title": { "de": "Software", "en": "Software" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } }, { "description": { "en": "A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code." }, "id": "mit", "props": { "scheme": "spdx", "url": "https://opensource.org/licenses/MIT" }, "title": { "en": "MIT License" } } ], "subjects": [ { "subject": "Deep Learning Computer Vision Artificial Intelligence CNN ResNet Adaptive Systems Reasoning PyTorch" } ], "title": "Beyond Static Bias: A Case for Dynamic, Per-Neuron Adaptation in Deep Networks" }, "parent": { "access": { "owned_by": { "user": "1401306" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": true, "allow_user_requests": true, "secret_link_expiration": 0 } }, "communities": { "default": "0f03296b-17a1-433b-8bf8-3ee9acb47a21", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2025-09-03T17:59:50.761831+00:00", "custom_fields": { "subjects": [ { "id": "mesh:D008568" }, { "id": "euroscivoc:297" }, { "id": "mesh:D001185" }, { "id": "mesh:D001185Q000592" }, { "id": "mesh:D001185Q000941" }, { "id": "SDN:P02::KRTS" } ] }, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "0f03296b-17a1-433b-8bf8-3ee9acb47a21", "links": {}, "metadata": { "description": "Wave Memory approaches treat temporal signals, jitter, and salience as first-class primitives, bridging classical signal processing, artificial intelligence, and neuroscience-inspired computation.", "organizations": [ { "name": "8b.is Research" } ], "title": "Wave Memory", "type": { "id": "project" }, "website": "https://8b.is/mem8" }, "revision_id": 9, "slug": "wave-memory", "updated": "2026-01-03T06:22:51.651718+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2025-05-22T21:54:01.997217+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "4b252c03-cf63-4bf6-8561-6cea77a27dc5", "links": {}, "metadata": { "description": "A Editora Neuro\u00c1tilla publica conte\u00fados cient\u00edficos nas \u00e1reas de neuroci\u00eancia, psicopedagogia, sa\u00fade e educa\u00e7\u00e3o, promovendo a divulga\u00e7\u00e3o do conhecimento por meio de livros, artigos, mapas mentais e anais com DOI e acesso aberto.", "title": "Editora Neuro\u00c1tilla", "type": { "id": "organization" }, "website": "https://centroespecializado.my.canva.site/editoraneuroatilla" }, "revision_id": 6, "slug": "neuroatilla-publicacoes", "updated": "2025-05-23T00:33:14.313927+00:00" } ], "ids": [ "0f03296b-17a1-433b-8bf8-3ee9acb47a21", "4b252c03-cf63-4bf6-8561-6cea77a27dc5" ] }, "id": "17049451", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.17049451", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.17049452", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:17049452", "provider": "oai" } }, "revision_id": 4, "stats": { "all_versions": { "data_volume": 1815525.0, "downloads": 25, "unique_downloads": 20, "unique_views": 196, "views": 236 }, "this_version": { "data_volume": 1815525.0, "downloads": 25, "unique_downloads": 20, "unique_views": 196, "views": 236 } }, "status": "published", "swh": {}, "updated": "2025-09-05T05:29:38.537903+00:00", "versions": { "index": 1, "is_latest": true } }