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Feilong Ma

@feilong.bsky.social

Studying brain functional organization and individual differences with computational approaches Assistant Prof. @sc.edu Previously ‪RAP/Postdoc/PhD @dartmouthpbs.bsky.social‬

17 Posts177 Follower186 Folgt
@yuqi98.bsky.social · 2d ago

I'll be presenting at #CCN2026 Wed, Aug 5: talk at 10:25am (Skirball Theater) on hyperalignment recovering shared, fine-grained info in monkeys' idiosyncratic fMRI responses. Poster D2 (2–3:45pm) adds parallel human results. Preprint: www.biorxiv.org/content/10.6...

Hyperalignment Reveals Shared Information in Macaques’ Idiosyncratic Fine-Grained Movie fMRI Patterns

We modeled shared representational spaces in macaque brains using fMRI data from 12 rhesus monkeys obtained during movie-viewing and response hyperalignment (RHA). RHA greatly improved inter-subject c...

biorxiv.org

Rui Xu@rui-xu.bsky.social · 3mo ago

New preprint as my first post! "Monosynaptic connections link functionally similar regions in human cortex." We use electrical stimulation + fMRI in epilepsy patients to map whole-brain monosynaptic connectivity at 42 cortical sites. doi.org/10.64898/202... 1/n

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Context Lab@contextlab.bsky.social · 3mo ago

Check out our latest collab with Manish Saggar, @richardfbetzel.bsky.social, et al. (lead: Chunyin Siu)! We use TDA to show that 2nd-order (edge) brain interactions more distinctly segregate task connections than other kinds of network patterns. Paper/code/data: www.biorxiv.org/content/10.6...

Global topology of brain-wide co-fluctuations links task states, personality, and behavioral symptom dimensions

Functional connectivity in network neuroscience is traditionally characterized using time-averaged correlations between brain regions. While these summaries capture stable large-scale organization, they do not fully reflect the temporal structure of moment-to-moment interactions. Here, we investigate how the order of interaction used to represent brain dynamics shapes the organization recovered from neural data. We compare three interaction representations of fMRI dynamics: regional activation (node time series), pairwise co-fluctuations (edge time series), and higher-order triplet interactions (triangle time series); within a common topological framework using Mapper from topological data analysis (TDA). Across task and resting-state data, Mapper representations derived from pairwise co-fluctuations more distinctly segregate task conditions than activation-based or higher-order representations. This organization reflects structured coordination patterns beyond activation polarity and is driven by high-amplitude interaction events. Beyond task states, modularity quality computed across all Mapper representations is highest for edge time series and selectively associated with stable individual differences: higher modularity relates to higher conscientiousness and lower internalizing and externalizing symptom dimensions. Together, these findings suggest that behaviorally relevant information is reflected in the topology of moment-to-moment brain interactions. Topological analysis of interaction-level dynamics therefore provides a complementary and interpretable framework for linking large-scale neural coordination to cognition, personality, and mental health. ### Competing Interest Statement The authors have declared no competing interest. National Institute of Mental Health, https://ror.org/04xeg9z08, MH127608 Stanford Maternal and Child Health Research Institute, https://ror.org/00yt0ea73, Faculty Scholar Award

biorxiv.org

Ev Fedorenko@evfedorenko.bsky.social · 3mo ago

So excited about Eghbal's (@eghbal-hosseini.bsky.social) and Jack King's work, which is building on Eghbal's earlier work on linguistic prediction as trajectory straightening!

Eghbal Hosseini@eghbal-hosseini.bsky.social · 3mo ago

How is uncertainty in LLMs output reflected in internal representations? In our new work (to appear at ICML 2026), we show that the shape of internal token trajectories provides a direct geometric link to behavioral uncertainty (output entropy). 🧵(1/n)

Chris Baldassano@chrisbaldassano.bsky.social · 3mo ago

The final typeset version of this paper is online now! Check out the new analysis approach that Narjes developed to track changes in event structure at multiple timescales, allowing us to see how event dynamics in a film clip change with repeated viewing

Mariam Aly@mariamaly.bsky.social · 4mo ago

How do the brain’s event representations change as we gain familiarity with an experience? Brain regions’ representations can become coarser or finer as events become familiar. Slow-timescale structure predicts memory. Excited to share this work w/ Narjes Al-Zahli & @chrisbaldassano.bsky.social!

Feilong Ma@feilong.bsky.social · last yr.

Excited to share our News&Views on Kamitani Lab's NatComputSci paper! Their neural code converter enables transformation of brain activity patterns across individuals, and it doesn't need shared stimuli or connectivity information! www.nature.com/articles/s43...

Advancing neural decoding with deep learning - Nature Computational Science

A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.

nature.com

Feilong Ma@feilong.bsky.social · last yr.

I love the work, not only because it speed up FIC models a lot, but also how it saves poor students from grad student descent 🤣🤣

Thomas Yeo@bttyeo.bsky.social · last yr.

While the world burns, we cook up a new preprint! doi.org/10.1101/2025... Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N

Feilong Ma@feilong.bsky.social · 2y ago

Our cortical surface template, onavg (short for OpenNeuro Average), is published in Nature Methods. Onavg evenly samples different parts of the cerebral cortex, leading to improved performance of various analysis and reduced computational time. www.nature.com/articles/s41...

A cortical surface template for human neuroscience - Nature Methods

Onavg is a surface template of the human cortex. In contrast to existing templates, the cortical surface is uniformly sampled, which has advantages in numerous applications.

nature.com

Feilong Ma@feilong.bsky.social · 2y ago

Excited to shared this amazing work by the amazing Erica and colleagues! Based on data from >1000 ABCD children, we found that fine-grained connectome is more reliable but less heritable than coarse-grained, and it performs better in predicting less heritable cognitive traits.

Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development

The functional connectome supports information transmission through the brain at various spatial scales, from exchange between broad cortical regions to finer-scale, vertex-wise connections that under...

jneurosci.org

Caterina Gratton@caterinagratton.bsky.social · 3y ago

🚨My lab is searching for 1-2 full-time research coordinator(s) and a full-time research tech to contribute to our studies on 🧠 human brain networks🧠 Deadline: Feb. 28 for full consideration Start date: as early as this summer Additional info: pics below and 👇 Pls share/RT! 🙏

Research Coordinator Position Gratton Laboratory, Florida State University grattonlab.org Job Description The Gratton laboratory in the Psychology Department at Florida State University in Tallahassee, FL (https://psy.fsu.edu/) is looking for a full-time research coordinator to join in on exciting functional neuroimaging research on personalized brain networks. The research coordinator will perform both data collection and analysis tasks for the laboratory. Specific duties associated with this position include the coordination, management, collection, and analysis of behavioral and fMRI data for research Interested applicants can submit send a cover letter and resume to: cgratton@fsu.eduResearch Tech Position Gratton Laboratory, Florida State University grattonlab.org Job Description The Gratton laboratory in the Psychology Department at Florida State University in Tallahassee, FL (https://psy.fsu.edu/) is looking for a full-time research tech to join in on exciting functional neuroimaging research on personalized brain networks. The research tech will focus on data analysis tasks for the laboratory. Specific duties associated with this position include the preprocessing and analysis of behavioral and fMRI data for research studies, management of the lab analysis pipeline, and training other lab members in technical skills. This position will offer opportunities for authorship-level contributions on a variety of lab projects. Interested applicants can submit send a cover letter and resume to: cgratton@fsu.edu
Yuan Chang Leong@ycleong.bsky.social · 3y ago

In this preprint, Jin Ke (@jinke.bsky.social) identified a situation-general representation of arousal encoded in patterns of dynamic FC. Collab w/ Hayoung Song, Zihan Bai, and @monicarosenb.bsky.social See below of a teaser, and more details in the preprint! (1/X)

Jin Ke@jinke.bsky.social · 3y ago

Excited to share this new preprint in collaboration with Hayoung Song, Zihan Bai, @monicarosenb.bsky.social and @ycleong.bsky.social: Dynamic functional connectivity encodes generalizable representations of emotional arousal but not valence (1/10) www.biorxiv.org/content/10.1...

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 3y ago

Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play https://www.biorxiv.org/content/10.1101/2023.10.28.564546v1

Behavioral Imitation with Artificial Neural Networks Leads to Personalized Models of Brain Dynamics During Videogame Play https://www.biorxiv.org/content/10.1101/2023.10.28.564546v1

Artificial Neural networks (ANN) trained on complex tasks are increasingly used in neuroscience to m

biorxiv.org