Notes

This section is for research notes, technical writing, and short essays that sit somewhere between theory, experimentation, and implementation.

I am not especially interested in polished blogging for its own sake. What I want here is a lightweight public space for clarifying ideas, recording useful experiments, summarizing readings, and making parts of the research process more visible.

What this section is for

Conceptual notes

Short pieces aimed at clarifying a research idea, framing a problem, or comparing related concepts.

Implementation notes

Practical observations from coding, debugging, structuring experiments, and building research software.

Reading notes

Compact summaries and reactions to papers, reviews, and research directions that seem especially useful.

Research sketches

Early-stage ideas, open questions, and rough experimental directions that are not yet full projects or papers.

Topics

Spiking Neural Networks Predictive Coding Multi-timescale Learning Local Learning Rules Neuromorphic Computing Adaptive Intelligence Research Software HPC Workflows

Published notes

Planned directions

Why predictive coding is interesting for spiking systems

A first conceptual note on why prediction-driven computation might fit naturally with temporal and event-based models.

When local learning becomes a systems problem

Some thoughts on how local plasticity, architecture, memory, and constraints interact in nontrivial ways.

Research software for modular SNN experiments

A practical note on how I think about tooling, modularity, and reproducibility in experimental SNN work.

What to expect

Most entries here will be relatively short. Some will be closer to mini-essays, others to structured notes or implementation logs. Over time, I would like this section to become a useful complement to the more static pages of the site: less formal than publications, but more deliberate than scattered private notes.

Current notes

The section now includes two public notes: Fast and slow adaptation in a toy dynamical system and Graduating with my Master's degree. More technical notes, reading notes, and short research essays will be added over time.