Simon Faghel-Soubeyrand
@simonfsoubeyrand.bsky.social
Oxford Postodoctoral Researcher, Staresina Lab || Banting Postdoctoral Fellow || vision, memory, sleep, machine learning
Pinned
Slow wave sleep supports the reorganisation of episodic memory networks https://www.biorxiv.org/content/10.1101/2025.03.24.644966v1
Preprint alert! 🚨
1/ How does deep sleep reshape our memories? Our new study shows that slow-wave sleep (SWS) reorganises episodic memory networks, shifting recall from the parietal cortex to the anterior temporal lobe (ATL). With Polina Perzich and @bstaresina.bsky.social . A thread below👇
1/ How does deep sleep reshape our memories? Our new study shows that slow-wave sleep (SWS) reorganises episodic memory networks, shifting recall from the parietal cortex to the anterior temporal lobe (ATL). With Polina Perzich and @bstaresina.bsky.social . A thread below👇
Reposted by Simon Faghel-Soubeyrand
Check out our new paper! We evaluate what we know (and don't know) about the link between memory consolidation during sleep and next-day learning 👇
😴 Sleep stabilises old memories and supports new learning. Are these benefits of sleep causally linked, driven by a common underlying mechanism, or largely independent? Our new paper digs into this important question!
authors.elsevier.com/sd/article/S...
authors.elsevier.com/sd/article/S...
ScienceDirect.com | Science, health and medical journals, full text articles and books.
authors.elsevier.com
November 19, 2025 at 6:42 PM
Check out our new paper! We evaluate what we know (and don't know) about the link between memory consolidation during sleep and next-day learning 👇
Reposted by Simon Faghel-Soubeyrand
What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3
Aligning machine and human visual representations across abstraction levels - Nature
Aligning foundation models with human judgments enables them to more accurately approximate human behaviour and uncertainty across various levels of visual abstraction, while additionally improving th...
www.nature.com
November 12, 2025 at 4:50 PM
What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3
Reposted by Simon Faghel-Soubeyrand
Super excited to share a new preprint!
We asked a simple-but-big question:
What changes in the brain when someone becomes an expert?
Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:
1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?
1/n
We asked a simple-but-big question:
What changes in the brain when someone becomes an expert?
Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:
1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?
1/n
November 12, 2025 at 10:56 PM
Super excited to share a new preprint!
We asked a simple-but-big question:
What changes in the brain when someone becomes an expert?
Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:
1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?
1/n
We asked a simple-but-big question:
What changes in the brain when someone becomes an expert?
Using chess ♟️ + fMRI 🧠 + representational geometry & dimensionality 📈, we ask:
1️⃣ WHAT information is encoded?
2️⃣ HOW is it structured?
3️⃣ WHERE is it expressed?
1/n
Reposted by Simon Faghel-Soubeyrand
Our "mind captioning" paper is now published in Science Advances @science.org .
The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding.
doi.org/10.1126/scia...
The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding.
doi.org/10.1126/scia...
Mind captioning: Evolving descriptive text of mental content from human brain activity
Nonverbal thoughts can be translated into verbal descriptions by aligning semantic representations between text and the brain.
doi.org
November 6, 2025 at 2:45 AM
Our "mind captioning" paper is now published in Science Advances @science.org .
The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding.
doi.org/10.1126/scia...
The method generates descriptive text of what we perceive and recall from brain activity — a linguistic interpretation of nonverbal mental content rather than language decoding.
doi.org/10.1126/scia...
Reposted by Simon Faghel-Soubeyrand
My Lab @unlv.edu is recruiting motivated students interested in human memory and brain research! Learn #EEG, #fMRI, and data analysis while exploring how we remember 🧠
📧 DM me or check out #PhD program www.unlv.edu/degree/phd-n... & www.unlv.edu/psychology/g...
Plus, Vegas is a fun place to live!🤟
📧 DM me or check out #PhD program www.unlv.edu/degree/phd-n... & www.unlv.edu/psychology/g...
Plus, Vegas is a fun place to live!🤟
Doctor of Philosophy - Neuroscience
This interdisciplinary Ph.D. program provides coursework and research training in neuroscience, with research mentoring spanning a range of different dimensions (basic to applied/clinical neuroscience...
www.unlv.edu
November 5, 2025 at 7:58 PM
My Lab @unlv.edu is recruiting motivated students interested in human memory and brain research! Learn #EEG, #fMRI, and data analysis while exploring how we remember 🧠
📧 DM me or check out #PhD program www.unlv.edu/degree/phd-n... & www.unlv.edu/psychology/g...
Plus, Vegas is a fun place to live!🤟
📧 DM me or check out #PhD program www.unlv.edu/degree/phd-n... & www.unlv.edu/psychology/g...
Plus, Vegas is a fun place to live!🤟
Reposted by Simon Faghel-Soubeyrand
I wrote a thing on episodic memory and systems consolidation. I hope you all enjoy it and/or find it interesting.
A neural state space for episodic memories
www.sciencedirect.com/science/arti...
#neuroskyence #psychscisky #cognition 🧪
A neural state space for episodic memories
www.sciencedirect.com/science/arti...
#neuroskyence #psychscisky #cognition 🧪
A neural state space for episodic memories
Episodic memories are highly dynamic and change in nonlinear ways over time. This dynamism is not captured by existing systems consolidation theories …
www.sciencedirect.com
November 3, 2025 at 12:56 PM
I wrote a thing on episodic memory and systems consolidation. I hope you all enjoy it and/or find it interesting.
A neural state space for episodic memories
www.sciencedirect.com/science/arti...
#neuroskyence #psychscisky #cognition 🧪
A neural state space for episodic memories
www.sciencedirect.com/science/arti...
#neuroskyence #psychscisky #cognition 🧪
Reposted by Simon Faghel-Soubeyrand
Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language.
tl;dr: you can now chat with a brain scan 🧠💬
1/n
tl;dr: you can now chat with a brain scan 🧠💬
1/n
November 3, 2025 at 3:17 PM
Introducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language.
tl;dr: you can now chat with a brain scan 🧠💬
1/n
tl;dr: you can now chat with a brain scan 🧠💬
1/n
Reposted by Simon Faghel-Soubeyrand
A nice shift in perceived colour between central and peripheral vision. The fixated disc looks purple while the others look blue.
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
September 24, 2025 at 12:04 PM
A nice shift in perceived colour between central and peripheral vision. The fixated disc looks purple while the others look blue.
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
Reposted by Simon Faghel-Soubeyrand
🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe
The Medial Temporal Lobe (MTL) is key to human cognition, supporting memory, emotional processing, navigation, and semantic coding. Rare direct human MTL recordings revealed concept cells, which were ...
doi.org
October 27, 2025 at 3:32 PM
🚨Preprint: Semantic Tuning of Single Neurons in the Human Medial Temporal Lobe
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
1/8: How do human neurons encode meaning?
In this work, led by Katharina Karkowski, we recorded hundreds of human MTL neurons to study semantic coding in the human brain:
doi.org/10.1101/2025...
Reposted by Simon Faghel-Soubeyrand
How well do classifiers trained on visual activity actually transfer to non-visual reactivation?
#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
IMAGINE-decoding-challenge
Predict which words participants were hearing, based upon brain activity recordings of visually seeing these items?
www.kaggle.com
October 24, 2025 at 6:55 AM
How well do classifiers trained on visual activity actually transfer to non-visual reactivation?
#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
Reposted by Simon Faghel-Soubeyrand
@dotproduct.bsky.social's first first author paper is finally out in @sfnjournals.bsky.social! Her findings show that content-specific predictions fluctuate with alpha frequencies, suggesting a more specific role for alpha oscillations than we may have thought. With @jhaarsma.bsky.social. 🧠🟦 🧠🤖
Contents of visual predictions oscillate at alpha frequencies
Predictions of future events have a major impact on how we process sensory signals. However, it remains unclear how the brain keeps predictions online in anticipation of future inputs. Here, we combin...
www.jneurosci.org
October 21, 2025 at 11:05 AM
@dotproduct.bsky.social's first first author paper is finally out in @sfnjournals.bsky.social! Her findings show that content-specific predictions fluctuate with alpha frequencies, suggesting a more specific role for alpha oscillations than we may have thought. With @jhaarsma.bsky.social. 🧠🟦 🧠🤖
Reposted by Simon Faghel-Soubeyrand
What do we talk about when we talk about "readout"?
I argued that our overly specialized, modular approach to studying the brain has given us a simplistic view of readout.
🧠📈
I argued that our overly specialized, modular approach to studying the brain has given us a simplistic view of readout.
🧠📈
Figuring out how the brain uses information from visual neurons may require new tools, writes @neurograce.bsky.social. Hear from 10 experts in the field.
#neuroskyence
www.thetransmitter.org/the-big-pict...
#neuroskyence
www.thetransmitter.org/the-big-pict...
Connecting neural activity, perception in the visual system
Figuring out how the brain uses information from visual neurons may require new tools. I asked nine experts to weigh in.
www.thetransmitter.org
October 13, 2025 at 3:15 PM
What do we talk about when we talk about "readout"?
I argued that our overly specialized, modular approach to studying the brain has given us a simplistic view of readout.
🧠📈
I argued that our overly specialized, modular approach to studying the brain has given us a simplistic view of readout.
🧠📈
Reposted by Simon Faghel-Soubeyrand
Why do we remember emotional events so vividly? Our new paper @nathumbehav.nature.com suggests that emotional arousal enhances memory by strengthening integration across large-scale brain networks! Led by the amazing @jadynpark.bsky.social & @ycleong.bsky.social! doi.org/10.1038/s415...
Out now in @nathumbehav.nature.com! We applied graph theoretic analyses to fMRI data of participants watching movies/listening to stories. Integration across large-scale functional networks mediates arousal-dependent enhancement of narrative memories. Open access link: rdcu.be/eKKAw
October 13, 2025 at 6:33 PM
Why do we remember emotional events so vividly? Our new paper @nathumbehav.nature.com suggests that emotional arousal enhances memory by strengthening integration across large-scale brain networks! Led by the amazing @jadynpark.bsky.social & @ycleong.bsky.social! doi.org/10.1038/s415...
Reposted by Simon Faghel-Soubeyrand
A memory can be represented at different levels of granularity, from highly specific to generalized.
Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations.
doi.org/10.31234/osf...
Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations.
doi.org/10.31234/osf...
OSF
doi.org
September 25, 2025 at 6:58 PM
A memory can be represented at different levels of granularity, from highly specific to generalized.
Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations.
doi.org/10.31234/osf...
Different representational formats of a memory can be used at different times or in different contexts, and draw on different neural representations.
doi.org/10.31234/osf...
Reposted by Simon Faghel-Soubeyrand
Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation”
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
Visual Image Reconstruction from Brain Activity via Latent Representation | Annual Reviews
Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...
www.annualreviews.org
September 18, 2025 at 3:40 AM
Our article is out in Annual Review of Vision Science: “Visual Image Reconstruction from Brain Activity via Latent Representation”
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
We trace the path from early brain decoding to modern NeuroAI, highlight progress & pitfalls, and discuss future directions www.annualreviews.org/content/jour...
Reposted by Simon Faghel-Soubeyrand
New preprint! My stellar undergrad, June Kim, & @charan-neuro.bsky.social find that intersubject pattern similarity at encoding (especially in posteromedial cortex) relates to shared/differing content between Ss at recall (measured using topic modeling) www.biorxiv.org/content/10.1...
Natural language processing captures memory content associated with shared neural patterns at encoding
People can experience the same event yet form distinct memories shaped by individual interpretations. Prior research shows that multivariate activity patterns in the Default Mode Network (DMN) are cor...
www.biorxiv.org
September 16, 2025 at 6:08 PM
New preprint! My stellar undergrad, June Kim, & @charan-neuro.bsky.social find that intersubject pattern similarity at encoding (especially in posteromedial cortex) relates to shared/differing content between Ss at recall (measured using topic modeling) www.biorxiv.org/content/10.1...
Reposted by Simon Faghel-Soubeyrand
How does the brain🧠 make causal inferences and use memories to understand narratives🎬?
We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do!
Preprint www.biorxiv.org/content/10.1...
w/ @qlu.bsky.social, Tan Nguyen &👇
We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do!
Preprint www.biorxiv.org/content/10.1...
w/ @qlu.bsky.social, Tan Nguyen &👇
A neural network with episodic memory learns causal relationships between narrative events
Humans reflect on past memories to make sense of an ongoing event. Past work has shown that people retrieve causally related past events during comprehension, but the exact process by which this causa...
www.biorxiv.org
September 5, 2025 at 12:26 PM
How does the brain🧠 make causal inferences and use memories to understand narratives🎬?
We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do!
Preprint www.biorxiv.org/content/10.1...
w/ @qlu.bsky.social, Tan Nguyen &👇
We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do!
Preprint www.biorxiv.org/content/10.1...
w/ @qlu.bsky.social, Tan Nguyen &👇
Reposted by Simon Faghel-Soubeyrand
A transformation from vision to imagery in the human brain. Intriguing new preprint by Roy & Naselaris et al for anyone interested in mental imagery!
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
A transformation from vision to imagery in the human brain
Extensive work has shown that the visual cortex is reactivated during mental imagery, and that models trained on visual data can predict imagery activity and decode imagined stimuli. These findings ma...
www.biorxiv.org
September 4, 2025 at 9:28 AM
A transformation from vision to imagery in the human brain. Intriguing new preprint by Roy & Naselaris et al for anyone interested in mental imagery!
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Reposted by Simon Faghel-Soubeyrand
Quantifying memory recall is hard! Luckily, natural language processing (incl. #LLMs) offers new, automated, and scalable ways to do that!
Great new review by Fenerci & @signysheldon.bsky.social in @cp-trendscognsci.bsky.social!
www.cell.com/trends/cogni...
Great new review by Fenerci & @signysheldon.bsky.social in @cp-trendscognsci.bsky.social!
www.cell.com/trends/cogni...
Studying memory narratives with natural language processing
Cognitive neuroscience research has begun to use natural language processing (NLP)
to examine memory narratives with the hopes of gaining a nuanced understanding of
the mechanisms underlying differenc...
www.cell.com
August 28, 2025 at 1:35 PM
Quantifying memory recall is hard! Luckily, natural language processing (incl. #LLMs) offers new, automated, and scalable ways to do that!
Great new review by Fenerci & @signysheldon.bsky.social in @cp-trendscognsci.bsky.social!
www.cell.com/trends/cogni...
Great new review by Fenerci & @signysheldon.bsky.social in @cp-trendscognsci.bsky.social!
www.cell.com/trends/cogni...
Reposted by Simon Faghel-Soubeyrand
New paper with @rjantonello.bsky.social @csinva.bsky.social, Suna Guo, Gavin Mischler, Jianfeng Gao, & Nima Mesgarani: We use LLMs to generate VERY interpretable embeddings where each dimension corresponds to a scientific theory, & then use these embeddings to predict fMRI and ECoG. It WORKS!
Evaluating scientific theories as predictive models in language neuroscience https://www.biorxiv.org/content/10.1101/2025.08.12.669958v1
August 18, 2025 at 6:34 PM
New paper with @rjantonello.bsky.social @csinva.bsky.social, Suna Guo, Gavin Mischler, Jianfeng Gao, & Nima Mesgarani: We use LLMs to generate VERY interpretable embeddings where each dimension corresponds to a scientific theory, & then use these embeddings to predict fMRI and ECoG. It WORKS!
Reposted by Simon Faghel-Soubeyrand
🚨 Finally out in Nature Machine Intelligence!!
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
High-level visual representations in the human brain are aligned with large language models - Nature Machine Intelligence
Doerig, Kietzmann and colleagues show that the brain’s response to visual scenes can be modelled using language-based AI representations. By linking brain activity to caption-based embeddings from lar...
www.nature.com
August 7, 2025 at 1:06 PM
🚨 Finally out in Nature Machine Intelligence!!
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
"Visual representations in the human brain are aligned with large language models"
🔗 www.nature.com/articles/s42...
Reposted by Simon Faghel-Soubeyrand
🚨 New preprint alert!
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Low-frequency brain oscillations reflect the dynamics of the oculomotor system: a new perspective on subsequent memory effects https://www.biorxiv.org/content/10.1101/2025.07.29.667451v1
July 30, 2025 at 7:33 PM
🚨 New preprint alert!
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Excited to share our latest work on alpha/beta activity, eye movements, and memory.
Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory.
👇 Highlights (1/7):
Reposted by Simon Faghel-Soubeyrand
New CNeuroMod-THINGS open-access fMRI dataset: 4 participants · ~4 000 images (720 categories) each shown 3× (12k trials per subject)· individual functional localizers & NSD-inspired QC . Preprint: arxiv.org/abs/2507.09024 Congrats Marie St-Laurent and @martinhebart.bsky.social !!
July 30, 2025 at 1:57 AM
New CNeuroMod-THINGS open-access fMRI dataset: 4 participants · ~4 000 images (720 categories) each shown 3× (12k trials per subject)· individual functional localizers & NSD-inspired QC . Preprint: arxiv.org/abs/2507.09024 Congrats Marie St-Laurent and @martinhebart.bsky.social !!
Reposted by Simon Faghel-Soubeyrand
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/a/1lV174sIRv...
Here’s a quick 🧵(1/n)
authors.elsevier.com
July 26, 2025 at 3:05 PM
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/a/1lV174sIRv...
Here’s a quick 🧵(1/n)
Reposted by Simon Faghel-Soubeyrand
Finally published:
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures”
www.nature.com/articles/s41...
Looking for ways to better understand different neuroscientific perspectives and enable productive collaborations
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures”
www.nature.com/articles/s41...
Looking for ways to better understand different neuroscientific perspectives and enable productive collaborations
Top-down and bottom-up neuroscience: overcoming the clash of research cultures - Nature Reviews Neuroscience
As scientists, we want solid answers, but we also want to answer questions that matter. Yet, the brain’s complexity forces trade-offs between these desiderata, bringing about two distinct research app...
www.nature.com
July 22, 2025 at 11:02 AM
Finally published:
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures”
www.nature.com/articles/s41...
Looking for ways to better understand different neuroscientific perspectives and enable productive collaborations
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures”
www.nature.com/articles/s41...
Looking for ways to better understand different neuroscientific perspectives and enable productive collaborations