Catrina Hacker

@catrinahacker.bsky.social

Neuroscienctist and sci-comm enthusiast at the University of Pennsylvania interested in brains 🧠 and models of them 💻. Website: catrinahacker.com

What does synapse position buy a neuron? We trained a dendritic network to place its own synapses on a covariance task. It clustered correlated inputs onto shared branches, and shuffling that placement destroyed performance while every weight stayed intact. Preprint: arxiv.org/abs/2607.24503 🧵-->

Synaptic clustering emerges from learning and supports covariance discrimination

Functional synapse clusters (FSCs) are synapses with correlated presynaptic activity that are colocalized on the same neuronal dendritic branch. FSCs have been observed after learning in cortical and ...

arxiv.org

📣New paper! How does the sleeping brain help us to integrate new experiences while managing memories from the past? For his PhD work, @sabbaspoor.bsky.social recorded hippocampal ensembles in freely moving monkeys and found something unexpected. 🧵1/n www.nature.com/articles/s41... 🧪🧠📈👩‍🔬#OpenAccess

Experience reorganizes content-specific memory traces in macaques - Nature Neuroscience

In macaques, old memories, relative to new ones, are supported by more stable and interconnected cell assemblies. New-biased and old-biased assemblies reactivate during overnight sleep and can sometim...

nature.com

Out today! Our (w/ @annaschapiro.bsky.social) review of the alignment between the C-HORSE model and the hippocampal structure learning literature. We find strong congruence with the model's key principles and propose several avenues for future investigation!

Evidence for complementary learning systems within the hippocampus

Abstract. Decades of research have established the hippocampus as central to episodic memory, but growing evidence suggests that it also contributes to str

royalsocietypublishing.org

To me, this is bigger than Alzheimer's disease. Neuronal population activity sits between biology and behavior. If we understand that level well enough, systems neuroscience can do more than explain behavior. It can diagnose, track progression, and maybe even identify treatment targets. 9/

Our new preprint is out!! The human brain runs on ~20 watts. Computers and modern AI systems require vastly higher energy. This gap raises a fundamental question: how does the brain compute so efficiently? In our new study, we take a critical step toward measuring and understanding this directly 1/3

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · last mo.

Learning Shapes the Energy Cost of Neural Tasks https://www.biorxiv.org/content/10.64898/2026.07.01.735889v1

Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:

Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

nature.com

New work on the effects of psychedelics on hierarchical cortical propagations out in PNAS! www.pnas.org/doi/10.1073/... Counter to our expectations, psychedelics attenuated bottom-up propagations into the Default Mode Network across substances and species. Thread below:

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

pnas.org

Neuroscientist here, who has talked about the US losing science ground to other countries: The biggest problem for generating future cures for brain diseases is the ongoing utter destruction of US basic neuroscience. It’s not about regulation.

Semafor@semafor.com · 2mo ago

China’s beating the US in neuroscience: “There is a very real possibility that without significant regulatory reform, if you’re a wealthy American, in 10 years, the only place you’ll be able to get your state-of-the-art cancer care is in Shanghai,” said Max Hodak, former president of Neuralink.

The research that led to this miracle drug started more than five decades (!) ago. Basic science research has massive payoffs but they are often very long-term. As a society, we invest in basic research for our kids and grandkids.

Tamara Caspary@tamaragenes.bsky.social · 2mo ago

“The drug that kept me alive for my children was built on a foundation of public investment. Taxpayers funded the research and the clinical trials. This country made a long bet on science, and I’m alive because it paid off.” www.ms.now/opinion/canc...

It’s very fun to analyze other people’s data for your favorite model and theory, but data reuse actually takes a huge amount of effort. We tested if current agentic AI can help with data reuse. Conclusion: it definitely can, but requires careful human supervision. #AIforScience #compneuro #neuroAI

Kristin Branson @kristinmbranson.bsky.social · 3mo ago

New preprint with @lingqiz.bsky.social: Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse arxiv.org/abs/2605.12808 1/10

Overview of the data conversion task. The benchmark includes eight datasets spanning a range of neural recording modalities, behavioral tasks, measurements, experiment protocols, and data formats. For each dataset, agents were also given the released paper, methods, and code, together with a structured prompt. The agent’s goal was to convert each heterogeneous source dataset into a common format suitable for a neural decoding task. 
Diagram has a column for each of 8 papers from mouse systems neuroscience. The first row shows the name of the dataset and a description of the focus of that work: 1) Allen2P: Visual change detection,2) Lee2025: Spatial coding & remapping, 3) Majnik2025: Cortical development, 4) Sosa2024: Spatial reward learning,  5) Chen2024: Memory-guided decision, 6) Hasnain2024: Context-based decision, 7) Zhang2025: Visual-motor decision, 8) Zhong2025: Visual learning. 
The next row shows the type of neural recording data: 1, 3, 4, 8: head-fixed calcium imaging, 2: miniprobe, 5-7: neuropixels or other silicon probes
The next row shows the types of behavioral and task variables. These are different for every task
The next row shows a visualization of the experiment protocol for each task. Again, these are different for every task
The next row shows that this information is all condensed into data, paper, and code. Data has the different types of information in different orders and structures. It also shows the type of files: 1: NWB files & SDK, 2,6: MATLAB files, 3, 7: Python files, 4-5: NWB files, 8: Various + API
The next part of the diagram shows the task, which is for agents to convert the data to a common data format for a downstream decoder task.

Interesting! doi.org/10.1242/dmm.... "Debates about animal research & alternatives are often framed as a contest between old and new approaches. This framing is both misleading and counterproductive. In practice, modern biomedical research is increasingly characterised by methodological pluralism"

Why in vivo models of disease remain indispensable

Summary: The call to arms for alternatives to model organisms of disease will fail without ongoing integration with – and validation against – complex animal models and support from the animal modelli...

doi.org

Today on a special Earth Day episode of the pod, three environmental experts share stories about times when environmental action succeeded in saving the planet—and explain why this can be done again

Are you feeling hopeless about the environment? Listen to this

This Earth Day three environmental experts share stories about times when environmental action succeeded in saving the planet—and explain why this can be done again

scientificamerican.com