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Catrina Hacker

@catrinahacker.bsky.social
586 followers 736 following 33 posts

Neuroscience postdoc and sci-comm enthusiast at the University of Chicago studying how we remember what we see. 🧠 Formerly at UPenn. Website: catrinahacker.com

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Reposted by Catrina Hacker
Ann Kennedy @antihebbiann.bsky.social · 22/09/2026
Preprint time! This is a cool one. Complex systems, be they neural nets, interacting genes, or power grids, can produce diverse dynamics-- things like point attractors, limit cycles, and chaos. The dynamic landscape you get depends on how elements interact. But those interactions can also change!
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Cheng Xue @cxue.bsky.social · 15/09/2026
Our work recently online in Nature Neuroscience: a neural reason why we err more when juggling tasks nature.com/articles/s41593-026-02430-w 🧵 Switching between tasks for different goals is an important form of cognitive flexibility.
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Marlene Cohen @marlenecohen.bsky.social · 10/09/2026
Now out in Nature Neuroscience: fantastic work by @cxue.bsky.social, Sol Markman et al who discovered a neural reason that performance suffers under cognitive load: “Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty”. www.nature.com/articles/s41... 🧪🧵1/
nature.com
Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty - Nature Neuroscience
Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...
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Yasmine El-Shamayleh @elshamayleh.bsky.social · 26/08/2026
Excited to share the lab’s first publication, co-led by talented postdoc Chuyi Su @chuyisu.bsky.social We leveraged cell type-specific optogenetics in the macaque cerebral cortex to elucidate the role of excitatory and inhibitory neurons in visual form processing. www.nature.com/articles/s41...
nature.com
Optotagging in primate cortex uncovers excitatory and inhibitory neuron specializations in form vision - Nature Communications
This study leverages cell type-specific optogenetics in the monkey cerebral cortex to elucidate the unique functional contributions of excitatory and inhibitory neurons in visual form processing. The ...
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Marlene Cohen @marlenecohen.bsky.social · 25/08/2026
Now out at PNAS! The final version includes a smart analysis suggested by a reviewer showing that biomarkers collected in blood track our neural population metrics. A very exciting connection between basic neurophys and translational approaches. Congrats to all! www.pnas.org/doi/10.1073/...
pnas.org
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...
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Seth Koslov @skoslov.bsky.social · 19/08/2026
New preprint! Posterior cingulate is often linked to memory in humans but decisions in monkeys yet there's little consensus about its functional neuroanatomy. We recorded LFPs+single units in humans during matched value and memory based decisions, finding convergence in dorsal, but not ventral, PCC.
biorxiv.org
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Penn NeuroKnow 🧠 @pennneuroknow.bsky.social · 18/08/2026
If you've heard of homing pigeons, you may know that historically they were used as messenger birds. But have you ever wondered how pigeons know where to go? Turns out, pigeons may use magnetic fields to navigate! Learn more in this week's post by Andrew Nguyen: pennneuroknow.com/2026/08/18/m...
pennneuroknow.com
Magnetic compasses help pigeons navigate in the dark
Finding your way home in the dark can be challenging, but pigeons have developed surprising navigational strategies to sense magnetic fields to make it home safe.
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Catrina Hacker @catrinahacker.bsky.social · 17/08/2026
This is really careful and compelling work by Kara examining how the brain adapts its decision-making processes to handle differing levels of uncertainty. It's a must read for anyone interested in the neural correlates of decision-making (and/or fans of MT)! #neuroskyence
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Stories of WiN @storiesofwin.bsky.social · 05/08/2026
Our latest profile is here! Dr. Lea Duncker (@leaduncker.bsky.social) uses statistical and theoretical approaches to study the neural basis of flexible behavior. Follow the link below to learn more! #StoriesOfWiN #WomenInNeuroscience www.storiesofwin.org/profiles/202...
storiesofwin.org
Dr. Lea Duncker — Stories of WiN
uses statistical and theoretical approaches to study the neural basis of flexible behavior
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Ilenna Jones @ilennaj.bsky.social · 31/07/2026
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 🧵-->
arxiv.org
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 ...
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Kari Hoffman @karihoffman.bsky.social · 30/07/2026
📣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
nature.com
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...
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Catrina Hacker @catrinahacker.bsky.social · 29/07/2026
I've loved watching this project develop over the last few years and I'm so excited to see @jacob-a-parker.bsky.social share it with the world! Highly recommended to anyone thinking about human behavior or interested in decision making/inference. #compneurosky #neuroskyence
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Vlad Ayzenberg @vayzenb.bsky.social · 22/07/2026
Excited to share our review in @cp-neuron.bsky.social with @lauriebayet.bsky.social and @mickbonner.bsky.social! We describe how implementing principles from child development can advance the mechanistic plausibility and capacities of AI models We packed A LOT into this review, here's a quick 🧵
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Dhairyya Singh @dhairyyasingh.bsky.social · 09/07/2026
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!
royalsocietypublishing.org
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
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Marlene Cohen @marlenecohen.bsky.social · 07/07/2026
Now out at PNAS - congratulations to Ramanujan Srinath and the team! Ram's ability and willingness to connect all these data, models, and ideas has changed my thinking/interpretation of many findings. I suspect I will keep learning from this study for a long time. www.pnas.org/doi/10.1073/...
pnas.org
The structure of correlated variability reflects task-relevant information in sensory neurons | PNAS
Shared trial-to-trial variability across sensory neurons is reliably reduced when perceptual performance improves, yet this variability is low dime...
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Liu, Shuze @liushuze.bsky.social · 06/07/2026
Do people solve hard problems by first building a mental model, then searching for the best solution? With @gershbrain.bsky.social, our new manuscript suggests a different route: people often start by retrieving cached solutions, and scaffold representations around them. osf.io/preprints/ps...
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Marlene Cohen @marlenecohen.bsky.social · 06/07/2026
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/
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Marlene Cohen @marlenecohen.bsky.social · 06/07/2026
I have always believed that ideas from basic systems neuroscience could eventually help people. But for years that felt more like hope than reality. But look! This is one of the most personally satisfying papers my lab has produced because we’re getting there. www.biorxiv.org/content/10.6... 🧪🧵 1/
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Gouki Okazawa @handle.invalid · 03/07/2026
New reviewed preprint from @elife.bsky.social! Led by Han Zhang, we tested monkeys on 10+ object concept classification tasks and compared their behavior to humans and deep networks. Monkeys learned diverse categorization rules fast... elifesciences.org/reviewed-pre...
elifesciences.org
A battery of image classification challenges reveals shared and distinct object categorization behavior across monkeys, humans, and deep networks
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Catrina Hacker @catrinahacker.bsky.social · 03/07/2026
A huge congrats to @simonbohn.bsky.social for leading the charge on this substantial update to our paper exploring how visual cortex and medial temporal lobe contribute to the transformation from seeing to remembering. 🧠🟦 🧠💻
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Ye Lab @liye-tsri.bsky.social · 02/07/2026
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
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Catrina Hacker @catrinahacker.bsky.social · 29/06/2026
A must read for anyone interested in hippocampal ripples from an amazing team! 🧠🟦
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Erica Busch @elbusch.bsky.social · 11/06/2026
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:
nature.com
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...
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Marlene Cohen @marlenecohen.bsky.social · 24/06/2026
Congratulations to fantastic postdoc Ramanujan Srinath and former star tech Martyna Czarnik on their new paper on the neural basis of flexible generalization in Nature Communications today! 🥳 Stable readout of visual representations mediates flexible generalization www.nature.com/articles/s41...
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Catrina Hacker @catrinahacker.bsky.social · 23/06/2026
It is bittersweet to share the last post I will write for @pennneuroknow.bsky.social. It has been a privilege to work with our writers over the past several years and to explore topics from dinosaur brains to dementia. If you don't already, follow their page for updates on new posts!
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pineurosci.bsky.social @pineurosci.bsky.social · 22/06/2026
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.org
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...
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Science Magazine @science.org · 19/06/2026
Do animals perceive time differently from humans? Science chats with @singhal.bsky.social—a researcher whose team is using “timescapes” to understand how nonhumans experience the world. scim.ag/4xFs4wM
science.org
Do animals perceive time differently from humans?
Science chats with a researcher whose team is using “timescapes” to understand how nonhumans experience the world
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Mark Histed @markhisted.org · 11/06/2026
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.
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Cheng Xue @cxue.bsky.social · 01/06/2026
Excited to share our new review in Trends in Neuroscience with Gouki Okazawa @gouki-okazawa.bsky.social : "The 'neat' and 'messy' in task-dependent neural geometry and computation" where we reviewed what we know about the 'task-manager' in the brain. A thread 👇
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Penn NGG @pennngg.bsky.social · 01/06/2026
#NGG is proud to present our next Thesis Defense given by @catrinahacker.bsky.social of the @nicolecrust.bsky.social Lab! Please join us in person or virtually (DM us for the link) on 6/2. Best of luck, Catrina! #PhAlmostDone 🥳
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Gouki Okazawa @handle.invalid · 31/05/2026
New review with Cheng Xue at U Chicago @cxue.bsky.social in Trends Neurosci@cp-trendsneuro.bsky.social! We discuss the neural geometry of task-dependent computation: disentangled encoding, RNN modeling, switch cost, etc. www.cell.com/trends/neuro...
cell.com
The ‘neat’ and ‘messy’ in task-dependent neural geometry and computation
To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their ...
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Mark Histed @markhisted.org · 26/05/2026
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.
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Ling-Qi Zhang @lingqiz.bsky.social · 18/05/2026
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
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Kristin Branson @kristinmbranson.bsky.social · 18/05/2026
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.
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David Ashbrook @davidashbrook.bsky.social · 13/05/2026
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"
doi.org
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...
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Ben Hayden @benhayden.bsky.social · 06/05/2026
New paper from the lab! "Plasticity and language in the anaesthetized human hippocampus" www.nature.com/articles/s41...
nature.com
Plasticity and language in the anaesthetized human hippocampus - Nature
In the hippocampus, complex processing of sensory stimuli occurs even in the unconscious state.
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Vlad Ayzenberg @vayzenb.bsky.social · 04/05/2026
My paper with @mikearcaro.bsky.social exploring the organization of the visual system in newborn infants is now out in @cp-neuron.bsky.social !
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Scientific American @sciam.bsky.social · 22/04/2026
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
scientificamerican.com
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
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Mengting Fang @mtfang.bsky.social · 21/04/2026
📹 7-min talk on this work: vimeo.com/1179294328
vimeo.com
Penn Grad Talks 2026 | Mengting Fang
Mengting Fang, Psychology “Pause, Then Power: How the Brain Decides When to Work Hard” Natural Sciences Presentations | March 27, 2026 Penn Grad Talks (formerly known as Grad Ben Talks) features TE...
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Mengting Fang @mtfang.bsky.social · 21/04/2026
🎯New preprint! The resource-rational dynamics of evidence accumulation www.biorxiv.org/content/10.6... Evidence accumulation isn’t stationary. It is dynamically controlled to trade off information gain against cognitive effort. With Jiang Mao, Tobias Donner @donnerlab.bsky.social, Alan Stocker
biorxiv.org
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Sarah Solomon @sarahsolomon.bsky.social · 13/04/2026
Super excited to share this preprint! How do we disentangle underlying structure from the particular features of a learning episode to benefit future learning? We find that memory reactivation during sleep promotes this structure abstraction process. www.biorxiv.org/content/10.6...
biorxiv.org
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Jeremiah Cohen @jeremiahycohen.bsky.social · 13/04/2026
Delighted to share our discoveries about one of the brain's neurotransmitter systems: www.biorxiv.org/content/10.6... Together with colleagues at the @alleninstitute.org, we have learned a lot about a tiny cluster of neurons in the brainstem locus coeruleus (LC) that releases norepinephrine (NE). 1
biorxiv.org
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hakwan lau @hakwan.bsky.social · 10/04/2026
www.science.org/doi/10.1126/... "mental imagery reactivates the same sensory codes used during visual stimuli, suggesting the existence of a generative model capable of synthesizing detailed sensory contents from an abstract, semantic representation."
science.org
A shared code for perceiving and imagining objects in human ventral temporal cortex
Mental imagery allows us to remember previous experiences and imagine new ones. Animal studies have yielded rich insight into mechanisms for visual perception, but the neural mechanisms for visual imagery remain poorly understood. We determined that ...
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jerrytang.bsky.social @jerrytang.bsky.social · 09/04/2026
We're excited to share our new study on decoding brain activity in participants with post-stroke aphasia! We think this is an important step towards cognitive brain-computer interfaces for patients with language disorders www.biorxiv.org/content/10.6... 1/8
biorxiv.org
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Swapna Krishna @swapnakrishna.com · 07/04/2026
And here’s the eclipse photo from Artemis II. I am in tears.
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Scientific American @sciam.bsky.social · 07/04/2026
NASA's first image from the Artemis II close flyby of the moon shows "Earthset," with a crescent Earth seen over the moon's cratered surface.
A crescent Earth seen setting behind a vast lunar landscape of craters.
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Paul Byrne @theplanetaryguy.com · 03/04/2026
This image of home just came down from the Artemis II crew. Taken after their translunar injection burn, there are aurorae at top right and lower left, and zodiacal light at lower right. Credit: NASA/Reid Wiseman
That's home. That's us.
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Marc Slutzky @marcslutzky.bsky.social · 01/04/2026
Thrilled and grateful to share our paper out today in @nature.com (rdcu.be/fbd7J). We used a brain machine interface (brain computer interface, #BCI) to causally test the origin of the high-gamma band of local field potentials #LFP. Results impact how we interpret many studies of #brain function
rdcu.be
Active dissociation of intracortical spiking and high gamma activity
Nature - A brain–machine interface is used in monkeys to investigate the biophysical underpinnings of cortical high gamma-band activity, a signal that is often studied in the context of many...
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Jennifer Groh @jmgrohneuro.bsky.social · 27/03/2026
Science peeps! Excited to share first of two preprints just uploaded. This one concerns a person who hears sounds when she moves her eyes! We could actually record these sounds and verify they were connected to eye movements 1/ www.biorxiv.org/content/10.6...
biorxiv.org
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