Biological deep learning for simulating the role of SST Interneurons in cognitive resilience
Our findings suggest that SST interneuron loss has a disproportionately large impact on cognitive function, both in artificial and biological systems. The model predicts that this is due to the key role that SST interneurons play in propagating task-error signals throughout the cortex. These results not only support the hypothesis that SST interneurons play a critical role in cognitive resilience, but also provide deeper insight into Alzheimer's disease by linking cortical circuit physiology to cognitive dysfunction. References Gabitto, M. I. et al. Nature Neuroscience (2024). Mathys, H. et al. Cell (2023). Morgan, G. R. & Carlyle, B. C. Scientific Reports (2024). Greedy, W. et al. Advances in neural information processing systems (2022).
Authors
- Becky C. Carlyle (ORCID: https://orcid.org/0000-0003-1491-3217)
- Will Greedy
- Rui Ponte Costa
- Iris Marmouset‐De La Taille
- Benjamin Federico Elias Duisberg
Institutions
- At Bristol (GB)
- University of Bristol (GB)
- University of Oxford (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108740
- Primary Topic
- Amyotrophic Lateral Sclerosis Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00