Leonardo Bonetti

@musicinthebrain.bsky.social @au.dk @ox.ac.uk

Bonetti - Decoding the elite footballer’s psychological profile Associate Professor Leonardo Bonetti discusses the psychological attributes that set footballers apart – and how AI might be able to sport them in youngsters.

www.fifatrainingcentre.com/en/environme...

Huge thanks to my colleagues, funders, and institutions — Aarhus University and the University of Oxford — for their support and collaboration, and to Paul Bradley for his help and advice coordinating with FIFA!

Very glad to have our research featured on the FIFA Training Centre website!

We explored how psychological profiles can help identify elite football talent.

From Soundwaves to Brainwaves: The Transformative Power of Music The human brain physically embodies rhythmic sound in a remarkable symphony that has the power to heal.

www.the-scientist.com/from-soundwa...

Dansk studie afslører: Hjernen ændrer sig på 3 måder, når du hører musik Hjerneforskere fra Aarhus Universitet kaster lys over hjernens netværk, når vi hører lyde og musik. Det kan potentielt gøre os bedre til at screene for blandt andet demens i fremtiden, håber de.

videnskab.dk/kultur-samfu...

@musicinthebrain.bsky.social @au.dk @ox.ac.uk

Shared and modality-specific brain networks underlying predictive coding of temporal sequences Predictive coding posits that the brain continuously generates and updates internal models to anticipate incoming sensory input. While auditory and visual modalities have been studied independently in...

Read it here: www.biorxiv.org/content/10.1...

#Neuroscience #PredictiveCoding #Multisensory #MEG #Preprint #OpenScience

Shared and modality-specific brain networks underlying predictive coding of temporal sequences Predictive coding posits that the brain continuously generates and updates internal models to anticipate incoming sensory input. While auditory and visual modalities have been studied independently in...

🧠 New preprint!
How does the brain predict complex patterns in sound vs. vision?
Using MEG & matched auditory/visual sequences, we reveal distinct and shared brain networks for recognising temporally structured stimuli.

Congratulations 🙌 Leonardo!

Leonardo Bonetti

We are very proud of our Associate Professor Leonardo Bonetti @leonardobonetti.bsky.social who just received a Sapere Aude grant :-) Congrats! @dg.dk @au.dk
dff.dk/hvad-har-vi-...

@au.dk @musicinthebrain.bsky.social @ox.ac.uk @oxfordpsychiatry.bsky.social

Leonardo Bonetti

Honored to receive the Sapere Aude: DFF Research Leader grant (~830.000EUR) 🙏
The project will explore how the brain supports memory and sequence prediction using multi-scale neurophysiology and advanced analytics like our Network Estimation via Source Separation (NESS) 🧠

@au.dk @musicinthebrain.bsky.social @ox.ac.uk @oxfordpsychiatry.bsky.social

@musicinthebrain.bsky.social @au.dk @lundbeckfonden.bsky.social @carlsbergfondet.dk @dg.dk @ox.ac.uk @oxfordpsychiatry.bsky.social

EEG Correlates of Auditory Short‐Term Memory and Dissimilarity Perception in Young and Older Adults In this study, we investigated auditory short-term memory for five-pitch sequences in a group of young adults and a group of older adults. The evaluation of dissimilarity between two pitch sequences ....

How does aging affect how we remember and compare sounds? Our new study reveals key EEG markers linked to auditory short-term memory and dissimilarity perception across age groups. Read in Eur J Neurosci: doi.org/10.1111/ejn....

@oxfordmathematics.bsky.social‬
@leonardobonetti.bsky.social‬
@musicinthebrain.bsky.social‬
@ox.ac.uk‬
‪@au.dk‬

A big thank you to Dr. Mattia Rosso @mattiarosso.bsky.social, who first-authored the paper!

FREQ‐NESS Reveals the Dynamic Reconfiguration of Frequency‐Resolved Brain Networks During Auditory Stimulation A new analytical pipeline, FREQuency-resolved Network Estimation via Source Separation (FREQ-NESS), reveals how the brain at rest is organized in frequency-specific networks and dynamically rearrange...

The study was published in Advanced Science and was led by Senior Research Fellow Dr Leonardo Bonetti @leonardobonetti.bsky.social from the Department of Psychiatry, Oxford, in collaboration with Aarhus University @au.dk

It's available here 👉 tinyurl.com/yc2huprn

MIB Associate Professor @leonardobonetti.bsky.social in a conversation with DPhil candidate Ramón Nartallo-Kaluarachchi from Oxford University.

@musicinthebrain.bsky.social @lundbeckfonden.bsky.social @au.dk @ox.ac.uk @dg.dk @oxfordpsychiatry.bsky.social

Working Memory Predicts Long‐Term Recognition of Auditory Sequences: Dissociation Between Confirmed Predictions and Prediction Errors Memory is a crucial cognitive process involving several subsystems: sensory memory (SM), short-term memory (STM), working memory (WM), and long-term memory (LTM). While each has been extensively stud....

🎶 New paper on how working and long-term auditory memory interact—and how aging and musical training shape this relationship 🚫🎻🧠

onlinelibrary.wiley.com/doi/10.1111/...

#NeuroScience #Cognition #Memory #AuditoryPrediction #MusicPerception

Linacre Fellow receives BCC Award for Arts & Culture 2025 - Linacre College The award, presented by ShruthiUK during the Birmingham Thyagaraja Festival at the Indian Embassy in Birmingham, recognises outstanding contributions to music, education,...

www.linacre.ox.ac.uk/news/linacre...

Trust is a precious commodity, but it is essential in science, notably when people from different fields are collaborating. Neuroscientist Leo and mathematician Ramon are trying to understand brain function and long-term memory.

Read the case study: www.maths.ox.ac.uk/node/70955

Neural signatures of predictive coding underlying the acquisition of incidental sensory associations A longstanding question in cognitive science is whether the human brain learns sensory regularities that are irrelevant to ongoing behavior, a phenomenon known as incidental associative learning. Here...

Thanks to my collaborators @clararastelli.bsky.social, @leonardobonetti.bsky.social, C. Braun and A. Caria

for all the details check out the preprint! 👇

www.biorxiv.org/content/10.1...

Honoured to receive the BCC Award for Arts & Culture 2025!
Grateful to ShruthiUK and the Birmingham Thyagaraja Festival for this recognition.
Special thanks to Chithra Ramakrishnan for presenting this award.

#BCCAwards #ArtsAndCulture #BirminghamThyagarajaFestival

1/n 🔍 At the core of FREQ-NESS is Generalized Eigendecomposition (GED) - a powerful linear decomposition technique that allows us to separate overlapping neural processes based on their dominant frequency, by contrasting narrowband vs broadband activity. #Neuroscience #FREQNESS

2/n
🧘‍♂️ During rest, FREQ-NESS reliably separates well-known resting state brain networks — the Default Mode Network, alpha-band parieto-occipital, and motor-beta sensorimotor topographies. Textbook configurations emerge directly from the data and based on frequency, without predefining regions.

3/n
🎧 Auditory stimulation reshapes the entire frequency-resolved network landscape:

• EMERGENCE: Attunement to the 2.4 Hz stimulation

• RE-ARRANGEMENT: Spatial shift of alpha from occipital to sensorimotor, spectral shift to high alpha activity

• INVARIANCE: Beta networks remain unchanged