2023 Fiscal Year Research-status Report
Role of spontaneous activity in memory function
Project/Area Number |
23KJ2131
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Research Institution | Okinawa Institute of Science and Technology Graduate University |
Principal Investigator |
Koshkin Roman 沖縄科学技術大学院大学, 科学技術研究科, 特別研究員(DC2)
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Project Period (FY) |
2023-04-25 – 2025-03-31
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Keywords | spontaneous activity / spiking neural network / memory / cell assembly / pattern detection |
Outline of Annual Research Achievements |
Line of work (1) The study of the emergence and properties of structured spontaneous activity in a biologically plausible episodic memory model, with a focus on the role of short-term plasticity and astrocytes for the properties of cell assemblies. Line of work (2) Development of methods for the detection of patterns in spike data. Published two peer-reviewed papers: (1) Unsupervised Detection of Cell Assemblies with Graph Neural Networks (ICLR 2023) and (2) convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data (ICML 2024). Line of work (3) Using large language models for simultaneous translation. Status: wrote a paper (posted on arXiv, currently in review at ACL).
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Line of work (1) Status: The work is mostly finished, I continue to improve the draft of the paper reporting the key findings. Progress on the line of work was slightly slower than expected (the paper should be in review by now). This slight delay is due to the fact that finishing my other work (now published) on the detection of patterns in spike data took significantly more. Line of work (2) status: Finished, papers published. Line of work (3) status: Mostly finished, paper in review.
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Strategy for Future Research Activity |
I plan to finalize my line of work 1 (The study of the emergence and properties of structured spontaneous activity), and submit the manuscript. Time permitting, I intend to do one more related project (on sequence learning in recurrent networks under biologically realistic plasticity, which will be a logical continuation of the current one).
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Causes of Carryover |
I am planning to use the remaining funds for attending machine learning conferences and possibly a research visit to Prof. Kentaro Inui at Mohamed bin Zayed University of Artificial Intelligence (UAE).
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