Publication2026
Dygenn dynamic Gaussian weighted evolving Spiking Neural Network model for enhanced neurological disease detection
The record
- Type
- Publication
- Date
- 1 December 2026
- Level
- National
- Journal
- Discover Computing
- Volume
- 29
- Issue
- 1
- Published
- 1 December 2026
- DOI
- 10.1007/s10791-026-10423-3
- Scopus ID
- 105046483959
- ISSN
- 29482992
- Authors
- 5
- Open access
- Yes
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Dynamic Gaussian-weighted evolving spiking neural network achieves 97.44% accuracy and 87.5% sensitivity in Parkinson's disease detection from structured biomarker data.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Novel spiking neural network architecture with dynamic evolution advances artificial intelligence research in neurological disease detection.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Neurological disease detection and diagnosis support health and well-being outcomes for affected populations.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Dygenn dynamic Gaussian weighted evolving Spiking Neural Network model for enhanced neurological disease detection”. Kortex.