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Marco Ciapparelli

@marcociapparelli.bsky.social
150 followers 267 following 37 posts

Post-Doc, Center for Mind/Brain Sciences (CIMeC), University of Trento. marcociapparelli.github.io

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Reposted by Marco Ciapparelli
Fabio Marson @fabiomarson.bsky.social · 24/09/2026
Our big dataset on pseudowords and nonwords processing is finally out! 🎉🥲 It's been a long adventure but definitely worthed it. Thanks to my amazing colleagues for the incredible job done!
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Casper Kerrén @ckerren.bsky.social · 24/07/2026
Excited to finally share our new paper in @natcomms.nature.com: Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval www.nature.com/articles/s41... With @s-michelmann.bsky.social and @doellerlab.bsky.social
nature.com
Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval - Nature Communications
How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...
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Nicole Rust @nicolecrust.bsky.social · 18/07/2026
Wonderful to see this! For (controversial?) context. There’s long been an argument that what brains & ANNs are doing cannot be fathomed beyond the meta like (eg) architecture, learning rules and such. And there’s a counter-idea: ”let’s try?”. When we stumbled on the correlates of memorability /1
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Marco Ciapparelli @marcociapparelli.bsky.social · 30/06/2026
🚨 New preprint! 🚨 1/ Can word usage help us infer what novel concepts look like? New work on zero-shot learning in humans with Marco Marelli & Sharon Thompson-Schill! 🧵 osf.io/preprints/ps...
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ERCbravenewword @ercbravenewword.bsky.social · 19/06/2026
We are hiring! New PhD position starting later this year. The call will open soon: write us for more information! bravenewword.unimib.it/prospective-...
bravenewword.unimib.it
Opening Positions - BraveNewWord
A phd position will be available in the context of the project, starting in Autumn 2026.Send an email to marco.marelli@unimib.it for inquiries, information and expressions of interest.
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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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Neuroskeptic @neuroskeptic.bsky.social · 03/05/2026
Made-up non-words produce semantic brain activity "comparable to that of existing words, provided that novel words contain a concatenation of identifiable morphemes." www.biorxiv.org/content/10.6... This is a bluty result, but not too jarfish if you doot ahugeapun, no?
biorxiv.org
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ERCbravenewword @ercbravenewword.bsky.social · 20/04/2026
Truly enjoyed hosting @bottinilab.bsky.social and his team for our joint lab meeting. A fantastic three-day exchange where everyone shared their research and explored new ideas together. Here is Roberto Bottini’s seminar on cognitive maps: www.youtube.com/watch?v=j3iv...
youtube.com
Mapping the Mind: How Cognitive Maps Guide Mental Action | Roberto Bottini | BraveNewWord | Unimib
YouTube video by Mbs Vector Space Lab
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Reposted by Marco Ciapparelli
PLOS Biology @plosbiology.org · 15/04/2026
How do we navigate our #memory maps of spatial & non-spatial experience? This study shows that the #EntorhinalCortex not only encodes the structure of experience, but also actions in conceptual space, and these representations are reflected in #gaze behavior @plosbiology.org 🧪 plos.io/4czCPHk
Experimental design. Top left: Representations of (conceptual) space may benefit from the integration of action affordances, e.g., in a game of chess, where information about how pieces can move is necessary to play the game. The authors tested this idea using numerical operations, whereby participants moved between numbers following the rules of an underlying graph structure. Top right: Participants learned how numbers may ‘transform’ into other numbers using an exploration task, whereby they were presented with an individual number and were offered a free choice of two possible successors. When a successor was chosen, the next trial offered the successors for the chosen number. In interleaved test blocks, participants indicated which were the ‘correct’ successors for each number. In the eyetracker and fMRI scanner, individual numbers were presented in a pseudorandom order. Bottom: Unbeknownst to participants, number-action bindings formed part of a repeating sequence arranged in graph ‘modules’ of four numbers. This can be seen as a set of four states with the same action affordances, projected on a number line. In the example presented, numbers 21 and 26 correspond to state 1 (‘S1’; and therefore also 31, 36, etc.), but this was assigned differently to each participant. As the modules repeated every five numbers, the structure allowed easy inference of action possibilities for any new numbers.
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Reposted by Marco Ciapparelli
ERCbravenewword @ercbravenewword.bsky.social · 01/04/2026
How do cognitive maps guide our actions in both spatial and conceptual worlds? Seminar by Roberto Bottini (CIMeC, UniTrento) on hippocampal–entorhinal systems and conceptual navigation. 🗓️ Wed, April 15 | 3:30 PM 📍 Bicocca (U6 - Sala Lauree) 🌐 Online: meet.google.com/yne-wucy-uju
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tbiba.bsky.social @tbiba.bsky.social · 02/03/2026
I am excited to share my first paper, showing that episodic memory formation is theta rhythmic, is now published in Nature Human Behavior! Check it out here: rdcu.be/e6pzS. Thanks to my PI, Katherine Duncan, and to my collaborators for their support on this journey! Stay tuned for iEEG follow up 🧠
rdcu.be
Episodic memory encoding fluctuates at a theta rhythm of 3–10 Hz
Nature Human Behaviour - Biba et al. show that episodic memory encoding fluctuates at a theta rhythm of 3–10 Hz.
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Gary Lupyan @glupyan.bsky.social · 19/01/2026
arxiv.org/abs/2601.11432 I want to share an astonishing result. LLMs can "translate" Jabberwocky' texts like 'He dwushed a ghanc zawk” & even and even 'In the BLANK BLANK, BLANK BLANK has BLANK over any BLANK BLANK’s BLANK' This has profound consequence for thinking about.. 1/2
arxiv.org
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Tanja C Roembke @troembke.bsky.social · 17/12/2025
@matildellen.bsky.social bravely decided to do a registered report with @pci-regreports.bsky.social as the first manuscript of her PhD -- 2+ years later, it's out! It's on how bilingualism affects statistical word learning, and the results were quite unexpected. Read more:
royalsocietypublishing.org
The influence of bilingualism on statistical word learning: a registered report
Abstract. While statistical word learning has been the focus of many studies on monolinguals, it has received little attention in bilinguals. The results o
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Reposted by Marco Ciapparelli
Andrea de Varda @andreadevarda.bsky.social · 19/11/2025
Our paper “The cost of thinking is similar between large reasoning models and humans” is now out in PNAS! 🤖🧠 w/ @fepdelia.bsky.social, @hopekean.bsky.social, @lampinen.bsky.social, and @evfedorenko.bsky.social Link: www.pnas.org/doi/10.1073/... (1/6)
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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ERCbravenewword @ercbravenewword.bsky.social · 23/10/2025
A fascinating read in @theguardian.com on the psycholinguistics of swearing! Did you know Germans averaged 53 taboo words, while Brits e Spaniards listed only 16? Great to see the work of our colleague Simone Sulpizio & Jon Andoni Duñabeitia highlighted! 👏 www.theguardian.com/science/2025...
theguardian.com
Italian blasphemy and German ingenuity: how swear words differ around the world
Once swearwords were dismissed as a sign of low intelligence, now researchers argue the ‘power’ of taboo words has been overlooked
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Marco Ciapparelli @marcociapparelli.bsky.social · 12/09/2025
Happy to share that our work on semantic composition is out now -- open access -- in Cerebral Cortex! With Marco Marelli (@ercbravenewword.bsky.social), @wwgraves.bsky.social & @carloreve.bsky.social. doi.org/10.1093/cerc...
doi.org
Compositionality in the semantic network: a model-driven representational similarity analysis
Abstract. Semantic composition allows us to construct complex meanings (e.g., “dog house”, “house dog”) from simpler constituents (“dog”, “house”). Neuroim
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Reposted by Marco Ciapparelli
Melissa Franch, PhD @mfranch.bsky.social · 27/02/2025
I am incredibly proud to share my first, first-author paper as a postdoc with @benhayden.bsky.social . How does the human hippocampus, known for encoding concepts, represent the meanings of words while listening to narrative speech? www.biorxiv.org/content/10.1...
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Marc Coutanche @marccoutanche.bsky.social · 26/08/2025
Here's a set of new results from my lab asking how the brain combines different ideas (concepts)! Now in press at J of Cog Neuro, we looked at how semantic composition (combining different concepts together) shapes brain activity. Preprint here: www.biorxiv.org/content/10.1... #neuroskyence
biorxiv.org
The Neural Consequences of Semantic Composition
Humans can create completely new concepts through semantic composition. These ‘conceptual combinations’ can be created by attributing the features of one concept to another (e.g., a lemon flamingo mig...
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Marco Ciapparelli @marcociapparelli.bsky.social · 18/07/2025
I'm sharing a Colab notebook on using large language models for cognitive science! GitHub repo: github.com/MarcoCiappar... It's geared toward psychologists & linguists and covers extracting embeddings, predictability measures, comparing models across languages & modalities (vision). see examples 🧵
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Reposted by Marco Ciapparelli
Qihong (Q) Lu @qlu.bsky.social · 26/05/2025
I’d like to share some slides and code for a “Memory Model 101 workshop” I gave recently, which has some minimal examples to illustrate the Rumelhart network & catastrophic interference :) slides: shorturl.at/q2iKq code (with colab support!): github.com/qihongl/demo...
hidden state representation during training
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Marco Ciapparelli @marcociapparelli.bsky.social · 28/04/2025
🚨New preprint!🚨 1/7 Happy to share new work with Marco Marelli, @wwgraves.bsky.social & @carloreve.bsky.social! We re-analyze fMRI studies to identify which regions represent semantic information compositionally, and what operations best describe composition. doi.org/10.1101/2025...
doi.org
Characterizing semantic compositions in the brain: A model-driven fMRI re-analysis
Semantic composition allows us to construct complex meanings (e.g., ''dog house'', ''house dog'') from simpler constituents (''dog'', ''house''). So far, neuroimaging studies have mostly relied on hig...
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Kanishka Misra @kanishka.bsky.social · 02/04/2025
another day another minicons update (potentially a significant one for psycholinguists?) "Word" scoring is now a thing! You just have to supply your own splitting function! pip install -U minicons for merriment
from minicons import scorer
from nltk.tokenize import TweetTokenizer

lm = scorer.IncrementalLMScorer("gpt2")

# your own tokenizer function that returns a list of words
# given some sentence input
word_tokenizer = TweetTokenizer().tokenize

# word scoring
lm.word_score_tokenized(
    ["I was a matron in France", "I was a mat in France"], 
    bos_token=True, # needed for GPT-2/Pythia and NOT needed for others
    tokenize_function=word_tokenizer,
    bow_correction=True, # Oh and Schuler correction
    surprisal=True,
    base_two=True
)

'''
First word = -log_2 P(word | <beginning of text>)

[[('I', 6.1522440910339355),
  ('was', 4.033324718475342),
  ('a', 4.879510402679443),
  ('matron', 17.611848831176758),
  ('in', 2.5804288387298584),
  ('France', 9.036953926086426)],
 [('I', 6.1522440910339355),
  ('was', 4.033324718475342),
  ('a', 4.879510402679443),
  ('mat', 19.385351181030273),
  ('in', 6.76780366897583),
  ('France', 10.574726104736328)]]
'''
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Matilde Ellen Simonetti @matildellen.bsky.social · 25/03/2025
🚀 My first PhD paper is out! 🚀 "How do multiple meanings affect word learning and remapping?" was published in Memory & Cognition! Big thanks to my supervisors and co-authors (Iring Koch & @troembke.bsky.social). Curious? Read it here: rdcu.be/eeY9o #CognitivePsychology #WordLearning #Bilingualism
rdcu.be
How do multiple meanings affect word learning and remapping?
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Marco Ciapparelli @marcociapparelli.bsky.social · 19/03/2025
1/n Happy to share a new paper with Calogero Zarbo & Marco Marelli! How well do LLMs represent the implicit meaning of familiar and novel compounds? How do they compare with simpler distributional semantics models (DSMs; i.e., word embeddings)? doi.org/10.1111/cogs...
doi.org
Conceptual Combination in Large Language Models: Uncovering Implicit Relational Interpretations in Compound Words With Contextualized Word Embeddings
Large language models (LLMs) have been proposed as candidate models of human semantics, and as such, they must be able to account for conceptual combination. This work explores the ability of two LLM...
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