James B. Aimone
neuroscientist
Facts
9 properties- Instance of
- human
- Occupation
- neuroscientist
- Employer
- Sandia National Laboratories (2011–present)[2]
- Educated at
- University of California, San Diego (?–2009)[3]
- Doctoral advisor
- Fred Gage, Jeffrey Elman[4][5]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Brad Aimone
en James Aimone
en James B. Aimone
en James Bradley Aimone
nl James B Aimone
🔖 Identifiers · 6
- ORCID iD
- 0000-0002-7361-253X
- OpenAlex ID
- A5002624302as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 13/6286
- Google Scholar author ID
- fIhoSlAAAAAJ
- ResearcherID
- H-4694-2016
- Scopus author ID
- 6506080350
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 18
A Combinatorial Model for Dentate Gyrus Sparse Coding,
A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications,
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines,
A Roadmap for Reaching the Potential of Brain‐Derived Computing,
A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks,
Computing with Spikes: The Advantage of Fine-Grained Timing,
Design principles for lifelong learning AI accelerators,
Dynamic Programming with Spiking Neural Computing
+10 more
← Authored by 18
A Combinatorial Model for Dentate Gyrus Sparse Coding,
A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications,
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines,
A Roadmap for Reaching the Potential of Brain‐Derived Computing,
A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks,
Computing with Spikes: The Advantage of Fine-Grained Timing,
Design principles for lifelong learning AI accelerators,
Dynamic Programming with Spiking Neural Computing
+10 more
Affiliated with 2
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Summary
James B. Aimone worked as a neuroscientist[1].
Body
Education
Doctoral advisors include Fred Gage[4], a geneticist[10], b. 1950[11], of United States[12], awarded the Keio Medical Science Prize[13], specialised in neuroplasticity[14] and Jeffrey Elman[5], a psychologist[15], 1948–2018[16], of United States[17], awarded the Fellow of the Cognitive Science Society[18], specialised in psycholinguistics[19].
FAQs
What did James B. Aimone do for work?
James B. Aimone worked as neuroscientist[1].
Where did James B. Aimone go to school?
James B. Aimone was educated at University of California, San Diego[3].