Jonathan Nicholas
@jonathannicholas.bsky.social
1.2K followers 300 following 24 posts
postdoc at nyu | (episodic) memory and decision making | jonathanicholas.github.io
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jonathannicholas.bsky.social
Why do we remember so many details of our experiences even when it is unclear if we will actually ever need them?

In a new preprint, @marcelomattar.bsky.social and I asked whether this property is adaptive, because what will be relevant in the future often (usually?!) isn’t apparent.
Episodic memory facilitates flexible decision making via access to detailed events
Our experiences contain countless details that may be important in the future, yet we rarely know which will matter and which won't. This uncertainty poses a difficult challenge for adaptive decision ...
www.biorxiv.org
Reposted by Jonathan Nicholas
lampinen.bsky.social
Why does AI sometimes fail to generalize, and what might help? In a new paper (arxiv.org/abs/2509.16189), we highlight the latent learning gap — which unifies findings from language modeling to agent navigation — and suggest that episodic memory complements parametric learning to bridge it. Thread:
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
When do machine learning systems fail to generalize, and what mechanisms could improve their generalization? Here, we draw inspiration from cognitive science to argue that one weakness of machine lear...
arxiv.org
Reposted by Jonathan Nicholas
kristorpjensen.bsky.social
I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time!

www.biorxiv.org/content/10.1...
Reposted by Jonathan Nicholas
actlab.bsky.social
New preprint from the lab! 🧠
Led by Juliana Trach, w/ Sophia Ou

Using fMRI, we discovered evidence for time-sensitive reward prediction errors (RPEs) in the human cerebellum.

Builds on, and extends, recent work in both rodents and NHPs
figure showing cerebellar RPE responses
Reposted by Jonathan Nicholas
mariamaly.bsky.social
Successful prediction of the future enhances encoding of the present.

I am so delighted that this work found a wonderful home at Open Mind. The peer review journey was a rollercoaster but it *greatly* improved the paper.

direct.mit.edu/opmi/article...
Reposted by Jonathan Nicholas
evanrussek.bsky.social
Thrilled to announce that I'll be starting in January 2026 as an Assistant Professor of Psychology at Hunter College, City University of New York.

The lab will study the thought processes that underlie our decision-making.
Reposted by Jonathan Nicholas
akrambakkour.bsky.social
Very happy to see this work with Euan Prentis posted! If you’re going to CCN next week, go check out Euan’s poster on this work!
biorxivpreprint.bsky.social
Overcoming distortion in multidimensional predictive representation https://www.biorxiv.org/content/10.1101/2025.07.29.667463v1
Reposted by Jonathan Nicholas
codydong.bsky.social
My first, first author paper, comparing the properties of memory-augmented large language models and human episodic memory, out in @cp-trendscognsci.bsky.social!

authors.elsevier.com/a/1lV174sIRv...

Here’s a quick 🧵(1/n)
authors.elsevier.com
Reposted by Jonathan Nicholas
annaschapiro.bsky.social
Super excited to share this one!! Meta-learning sparsity and learning rate gives rise to brain-like gradients of complementary learning systems. So complementary learning systems emerge organically through behavior optimization, and it's not just two of them!!
neurozz.bsky.social
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
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...
bit.ly
jonathannicholas.bsky.social
the paper looks cool, excited to dig in!
Reposted by Jonathan Nicholas
marcelomattar.bsky.social
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
Reposted by Jonathan Nicholas
thecharleywu.bsky.social
📢 now out @natrevpsychol.nature.com In a new perspective w/ @davidnagy.bsky.social & @gergoorban.bsky.social, we reconcile a glaring problem in applying rate-distortion theory as a framework for human memory, integrating empirical findings across a host of human memory research 🧵👇
natrevpsychol.nature.com
Adaptive compression as a unifying framework for episodic and semantic memory

Perspective by David G. Nagy (@davidnagy.bsky.social), Gergő Orbán & Charley M. Wu (@thecharleywu.bsky.social)

Web: go.nature.com/3ZkmRLb
PDF: rdcu.be/epAQ0
Reposted by Jonathan Nicholas
qlu.bsky.social
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)
jonathannicholas.bsky.social
work with fred! can’t recommend more highly
fredcallaway.bsky.social
Despite the world being on fire, I can't help but be thrilled to announce that I'll be starting as an Assistant Professor in the Cognitive Science Program at Dartmouth in Fall '26. I'll be recruiting grad students this upcoming cycle—get in touch if you're interested!
Reposted by Jonathan Nicholas
mpc-comppsych.bsky.social
🚨Today's Computational Psychiatry seminar at the MPC is given by Dr. Jonathan Nicholas @jonathannicholas.bsky.social
Episodic memory facilitates flexible decision making via access to individual events and their details.
2pm London UK time. DM @yanivabir.bsky.social to join.
Reposted by Jonathan Nicholas
katieinsel.bsky.social
Come see our lab's first poster at #SANS2025!!

Megan Spurney will present exciting new results revealing that rewards boost working memory accuracy for kids and teens, but less so for adults.

Friday 4/25 @ 4:15
Poster P2-A-13
Investigating Age-Related Flexibility in Cognitive Effort Allocation
Reposted by Jonathan Nicholas
biorxiv-neursci.bsky.social
The precision of hippocampal representations predicts incremental value-learning across the adult lifespan https://www.biorxiv.org/content/10.1101/2025.04.08.647815v1
Reposted by Jonathan Nicholas
sreejan.bsky.social
See me at #COSYNE2025 poster session 2 if you want to learn more about this emerging work!
jonathannicholas.bsky.social
These results suggest that holding on to different details of memories can allow us to build new decision variables on-the-fly, whenever they are needed for a choice, and that perhaps one reason why we maintain detailed memories is to help us flexibly adapt to an uncertain future.
jonathannicholas.bsky.social
i) having detailed memories allows people to flexibly access different parts of these memories for decisions,
ii) people do this more often when it is unclear what details will be important in the future,
iii) episodic memories can be used as a “backup” if irrelevant details later become relevant.
jonathannicholas.bsky.social
Across four experiments and multiple replications, we tested this idea using a task that required people to encode individual events with multiple features and then to later make decisions based on these features to maximize their earnings. We found that...
jonathannicholas.bsky.social
Why do we remember so many details of our experiences even when it is unclear if we will actually ever need them?

In a new preprint, @marcelomattar.bsky.social and I asked whether this property is adaptive, because what will be relevant in the future often (usually?!) isn’t apparent.
Episodic memory facilitates flexible decision making via access to detailed events
Our experiences contain countless details that may be important in the future, yet we rarely know which will matter and which won't. This uncertainty poses a difficult challenge for adaptive decision ...
www.biorxiv.org
Reposted by Jonathan Nicholas
chrisbaldassano.bsky.social
Thank you to Ingrid Wickelgren and the team at Quanta for putting together this great piece, describing work by my lab and others on the neural representations of events