r/compmathneuro

Hello all,

I am doing a research project on a new AI model. This model is based on the human brain rather than a transformer architecture. I am looking for a professor in the neuroscience or cognitive science field that I can work with to give me advice and possibly co-publish papers on my work. I'd prefer someone at an accredited University in the United States, Canada or the EU.

I have already written and implemented the model and am training it now. The model employs six different neural networks including a Spiking Neural Network with STDP and Hebbian Learning. I also have an adaptive NN as well as a Liquid Neural NEtwork for temporal dynamics paired with a Hamiltonian Neural Network for energy conservation. As well, I employ a five layer Convolutional NN for visual, audio, speech and somatosensory modes and a complementary Fourier Network Object.

My web site is at http://nimcp.ai-elevate.ai. You can access my repo at: https://github.com/redmage123/nimcp

I am also on Linked In as Braun Brelin so you can search for my profile there. I post frequently on LI so you can read more about the model there.

Feedback is welcome.

Braun Brelin

reddit.com
u/redmage123 — 14 days ago

I recently found out that computational neuroscience existed, I am interesting in learning about the field. I would appreciate any advice or direction on where or how to start. For background I will have just graduated ( will be hopefully this semester) with a bachelors in comp sci. Also was curious about how one would go about pivoting from computer science into computational neuroscience.

Sorry for any bad grammar or mistakes.

reddit.com
u/Meftet — 13 days ago

Interactive online demo of brain information flow

Link for online interactive demo:
https://pixedar.github.io/ai/mindvisualizer/

Main GitHub repo:
https://github.com/Pixedar/MindVisualizer

This is a follow-up to my open-source brain information flow exploration repo from this post:

https://www.reddit.com/r/compmathneuro/comments/1sy150g/open_source_brain_information_flow_exploration

I decided to make a small online demo of the repo to make the idea more accessible to a broader group of people, and to give people an easier way to first interact with the visualization.

I see the web demo mostly as an entry point into the broader effort and repo. More broadly, I see this as part of a larger effort to build better intuition and mental models for large-scale brain dynamics. I know the current technology and methods may not be fully there yet, but I think this kind of exploratory / collaborative tooling is emerging and worth trying

However, a few caveats:

  • The current flow data is not peer-reviewed. It is based on real brain data from my preprint / Zenodo record: https://zenodo.org/records/18200415 In the future, it would be nice to turn this into a more rigorous version, possibly with higher-quality data, better-validated flow models, or collaboration with people who work more directly on this kind of problem.
  • Please remember that the online demo is only a limited demo. It currently shows only one of the three modes from the full repo. The other modes in the repo may actually be more important / relevant than the one currently shown in the browser demo, especially for the broader brain-manifold and information-propagation idea. For the full functionality, please check the actual GitHub repo: https://github.com/Pixedar/MindVisualizer
  • The real repo is the main project, not the web demo. It contains the three modes, the broader brain-manifold / information-propagation idea, the LLM/RAG interpretation part, and the informal observations file: https://github.com/Pixedar/MindVisualizer/blob/master/OBSERVATIONS.md The observations file is there so people can add interesting flow paths, perturbation effects, or intuitions about resting-state organization. The hope is to slowly build a shared record of patterns that might help us think about how the brain works internally.
  • The site is intended for demo / accessibility purposes only. The web version was made more quickly just to make the idea easier to try in the browser. The GitHub repo is the more complete version of the project, with more functionality and better code structure. For anything beyond just trying the browser demo, please look at the repo.
  • I do not expect a huge amount of traffic, but since the LLM analysis costs tokens, I included only a small amount of my own credits, so it may run out over time if people use it.

The original repo post was basically about combining brain information flow derived from real fMRI and tractography data with an LLM, including RAG-based interpretation of this flow and propagation of information in the brain.

It is still not peer-review quality and should rather be treated as a tool for building intuition about the brain and building a mental model of brain dynamics.

Feedback is very welcome, especially from people who know the field better or have ideas about validation, better data, better flow models, or how to make the observation/collaboration part more useful

u/Pixedar — 3 days ago
▲ 4 r/compmathneuro+1 crossposts

Hey everyone!

I’d really appreciate some honest advice from people in neuroscience, especially if you’ve taken a non-traditional path. So here’s my situation: I’m currently doing a Master’s in Applied and Computational Mathematics, and I also work full-time (around 8 hours a day). I live alone and take care of everything myself, so overall life is pretty demanding.

The issue isn’t that I’m struggling to be consistent — I actually study a lot and I can keep up. The problem is the total workload. Between work, studying, and just basic life responsibilities, it’s starting to feel like too much, to the point where I’m getting close to burnout.

At the same time, my real interest has always been neuroscience. I didn’t go straight into it because my background is in data (analytics/engineering, a few years in the field), and I thought going into math/modeling would be a more strategic move — especially if I wanted to transition into computational neuroscience later.
So on paper, it made sense. But in practice, this master’s is extremely heavy given my current life setup.

Recently I started looking into alternatives and came across the Euro-Mediterranean Master of Neuroscience (EMN), which is fully online. It caught my attention because it’s directly in neuroscience and seems much more compatible with my current situation.

Now I feel a bit stuck between two directions. On one hand, staying in my current math master’s feels like the “stronger” path, especially for computational work. On the other hand, it’s very demanding, and I’m not sure it’s sustainable like this. The EMN + self-study (things like Neuromatch, personal projects, etc.) feels more aligned with what I actually enjoy and probably more manageable, but I’m not sure how that’s perceived academically or professionally.

I guess what I’m trying to understand is: would leaving a math-heavy program be a mistake if I want to move into neuroscience later? How important is that level of mathematical rigor compared to building projects and experience on my own? And does a program like EMN actually help in practice, or is it kind of superficial?

My long-term goal is to get a PhD in Europe after the masters. I’m EU citizen (what make a few things easier) but the paperwork is still in progress. Given that I can’t relocate right now (I’m from Brazil) and have to keep working, I’m trying to figure out what path makes the most sense long-term without burning out in the process.

If anyone here has gone through something similar or works in computational neuroscience, I’d really value your perspective

reddit.com
u/vkbf — 13 days ago
▲ 4 r/compmathneuro+1 crossposts

I am planning on applying for a PhD in computational neuroscience and I wanted to know if my profile is enough to get an admit.
Searching for programs in the US, UK, Europe, and Australia
To give you a gist about myself:
International student
Masters in data science
Bachelors in computer science and engineering
1.2 yr research experience
No publications
No wet lab experience
No preprint
3 solid neuro related projects
1.8 yr data analyst and communication intern

Let me know your honest opinions

reddit.com
u/ZealousidealNeat7501 — 7 days ago

How to start learning comp neuro during medical school

For reference, i am an MS2 from India and I'd like to pursue computational neuroscience after my med school. Our college is pretty lame when it comes to supporting extra academic endeavours which means if I have to learn anything, it should be online. I have high school level math knowledge and a very basic understand of python and am doing the U Washington course on coursera Id appreciate recommendations of books/videos/courses/exercises/research papers etc that would help deepen my understanding of the subject itself and the required math and code required to build a career in this field Thank you for your time :)

reddit.com
u/DependentAnything628 — 4 days ago