Dhairyya Singh

Thrilled to finally share this work! 🧠🔊

Using a new reinforcement-free task we show mice (like humans) extract abstract structure from sound (unsupervised) & dCA1 is causally required by building factorised, orthogonal subspaces of abstract rules.

Led by Dammy Onih!
www.biorxiv.org/content/10.6...

Episodic memory facilitates flexible decision-making via access to detailed events - Nature Human Behaviour Nicholas and Mattar found that people use episodic memory to make decisions when it is unclear what will be needed in the future. These findings reveal how the rich representational capacity of episod...

Our experiences have countless details, and it can be hard to know which matter.

How can we behave effectively in the future when, right now, we don't know what we'll need?

Out today in @nathumbehav.nature.com , @marcelomattar.bsky.social and I find that people solve this by using episodic memory.

How Prediction of the Future Affects Encoding of the Present: Cooperation or Competition? Abstract. Each day brings new experiences and the opportunity to form new episodic memories. However, our everyday experiences are not isolated episodes; rather, there is significant spatial and tempo...

In a new paper, I delve into these two findings and muse on when prediction might help vs. hurt memory (and discuss why this matters for models of memory and the hippocampus). This is my first solo-author paper, and I had a lot of fun putting these ideas on paper! direct.mit.edu/opmi/article...

A unifying account of replay as context-driven memory reactivation A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Really thrilled that this paper led by @neurozz.bsky.social is now published in its final version in @elife.bsky.social!!

This is a memory-focused (as opposed to RL-focused) account of the detailed characteristics of forward and backward awake and sleep replay!

elifesciences.org/articles/99931

When does new learning interfere with existing knowledge in people and ANNs? Great to have this out today in @nathumbehav.nature.com

Work with @summerfieldlab.bsky.social, @tsonj.bsky.social, Lukas Braun and Jan Grohn
www.nature.com/articles/s41...

⭐ My lab is recruiting a grad student for fall 2026! ⭐

🧠 If you are interested in semantic learning & memory, and want to use fMRI + computational models to ask these questions, I'll be excited to hear from you. Come join us in Bing!

🔗 sites.google.com/view/spinslab

The first chapter of my dissertation is officially published! 🎆🌺💤 We found that folks with depression show similar impairments in cognitive functioning after total sleep deprivation as non-depressed folks (and bounce back similarly after recovery sleep):

🔗 doi.org/10.1016/j.jp...

Moments Lab

Last month, I launched my lab at Ohio State. Our lab website is now live, and we're recruiting graduate students this cycle! If you're interested in the cognitive (neuro)science of learning & memory, please reach out!

www.momentslab.org

If you’re heading to SF for #CogSci2025 this week and are interested in mobile EEG or spatial memory, come check out my talk on Thursday! (Talks 11: EEG, 2:15pm, Salon 5).

A gradient of complementary learning systems emerges through meta-learning Long-term learning and memory in the primate brain rely on a series of hierarchically organized subsystems extending from early sensory neocortical areas to the hippocampus. The components differ in t...

Excited to share a new preprint w/ @annaschapiro.bsky.social! Why are there gradients of plasticity and sparsity along the neocortex–hippocampus hierarchy? We show that brain-like organization of these properties emerges in ANNs that meta-learn layer-wise plasticity and sparsity. bit.ly/4kB1yg5

Incredibly excited and grateful to share that I’ll be starting a lab at The Ohio State University this(!) fall! My lab will study human learning and memory, with related interests in sleep, stress, and time perception. More info soon, but do get in touch if you’re interested in joining!

preprint alert 🚨
1/ Can we accurately detect sequential replay in humans using Temporally Delayed Linear Modelling (#TDLM)? In our recent study, we could not find any replay and decided to dig deeper by running a hybrid simulation with surprising results. Link to preprint & details below 👇

Shared and diverging neural dynamics underlying false and veridical perception We often mistake visual noise for meaningful images, which sometimes appear as convincing as veridical percepts. This suggests considerable overlap between the mechanisms that underlie false and verid...

New MEG paper by @jhaarsma.bsky.social and @dotproduct.bsky.social‬! Same design and behavioural results as our 7T layer fMRI study (www.jneurosci.org/content/43/4...), but now shedding light on the temporal dynamics of the sensory signals underlying false percepts. #neuroskyence

New preprint! How do we integrate new information into prior knowledge? We find that existing knowledge enables rapid new learning but that interleaved replay during sleep promotes integration of new and old information. Modeling suggests a sleep context suppression mechanism.
osf.io/preprints/ps...

I’m thrilled to announce that I will start as a presidential assistant professor in Neuroscience at the City U of Hong Kong in Jan 2026!
I have RA, PhD, and postdoc positions available! Come work with me on neural network models + experiments on human memory!
RT appreciated!
(1/5)

New preprint! Statistical structure skews object memory toward predictable successors. Model simulations show how this bias can arise from the backward expansion of hippocampal representations.
w/co-first @codydong.bsky.social , @marlietandoc.bsky.social & @annaschapiro.bsky.social osf.io/yuxb6_v1