Bayesian Brain
bayesianbrain.bsky.social
Bayesian Brain
@bayesianbrain.bsky.social
Reposted by Bayesian Brain
What makes humans similar or different to AI? In a paper out in @natmachintell.nature.com led by @florianmahner.bsky.social & @lukasmut.bsky.social, w/ Umut Güclü, we took a deep look at the factors underlying their representational alignment, with surprising results.

www.nature.com/articles/s42...
Dimensions underlying the representational alignment of deep neural networks with humans - Nature Machine Intelligence
An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...
www.nature.com
June 23, 2025 at 8:03 PM
Reposted by Bayesian Brain
Is it possible to go from spikes to rates without averaging?

We show how to exactly map recurrent spiking networks into recurrent rate networks, with the same number of neurons. No temporal or spatial averaging needed!

Presented at Gatsby Neural Dynamics Workshop, London.
From Spikes To Rates
YouTube video by Gerstner Lab
youtu.be
August 8, 2025 at 3:25 PM
Reposted by Bayesian Brain
Why do academics commit scientific misconduct?

Scientists lay the blame on the system rather than the self:

eg. "Reviewers hardly check the details of manuscripts"

eg. "The pressure from journals to produce spectacular results almost invites people to help things along a bit here or there"
August 8, 2025 at 8:57 PM
Reposted by Bayesian Brain
🤔 How can we study #consciousness between people, at the social level? 🧠✨ New #preprint co-led by Anne Monnier & Lena Adel: “Now is the Time: Operationalizing Generative Neurophenomenology through Interpersonal Methods” 🧵(1/3)
August 8, 2025 at 3:16 PM
Reposted by Bayesian Brain
What does the claustrum actually do?

This study explores how this mysterious brain region processes sensory signals and connects across the cortex. While the evidence for its role is still incomplete, the data offer a useful foundation for future work.
buff.ly/gfE6Gjt
August 4, 2025 at 10:44 AM
Reposted by Bayesian Brain
Sharing a new paper from the lab. This paper, led by Sangyoon Ko, represents a merging of two longstanding research themes in the lab-- adult neurogenesis and systems consolidation.

rdcu.be/el18q

A short thread follows for those interested.

1/n
Systems consolidation reorganizes hippocampal engram circuitry
Nature - A study shows that loss of memory precision associated with systems consolidation can be explained by neurogenesis-dependent reorganization of engram circuitry within the hippocampus over...
rdcu.be
May 14, 2025 at 4:32 PM
Reposted by Bayesian Brain
How should you combine sensory inputs with your internal predictions? Well, use uncertainty directly computed by your prediction-error circuits. Cool? Check out our Nat. Com. paper with Loreen Hertäg and @k47h4.bsky.social . www.nature.com/articles/s41...
Uncertainty estimation with prediction-error circuits - Nature Communications
How the brain integrates sensory input and predictions to adapt to change is not fully understood. Here authors build a neural network model to show how prediction-error neurons compute uncertainty of...
www.nature.com
March 28, 2025 at 12:59 PM
Reposted by Bayesian Brain
Our work, out at Cell, shows that the brain’s dopamine signals teach each individual a unique learning trajectory. Collaborative experiment-theory effort, led by Sam Liebana in the lab. The first experiment my lab started just shy of 6y ago & v excited to see it out: www.cell.com/cell/fulltex...
June 11, 2025 at 3:18 PM
The cortical critical power law balances energy and information in an optimal fashion | PNAS www.pnas.org/doi/10.1073/...
The cortical critical power law balances energy and information in an optimal fashion | PNAS
A recent study has suggested that the stimulus responses of cortical neural populations follow a critical power law. More precisely, the power spec...
www.pnas.org
May 31, 2025 at 8:29 AM
Reposted by Bayesian Brain
Thanks so much for the shout-out, and congrats on your exciting work!! 🎉 🙂

Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊

⬇️

www.cell.com/cell-reports...
April 17, 2025 at 8:50 PM
Reposted by Bayesian Brain
BTSP, but not STDP, can account for place field changes in hippocampus, out in Nature Neuroscience today:

www.nature.com/articles/s41...

🧠📈 🧪
Synaptic plasticity rules driving representational shifting in the hippocampus - Nature Neuroscience
Madar et al. report that behavioral timescale synaptic plasticity (BTSP), not spike-timing-dependent plasticity, explains heterogeneous place fields shifting in the hippocampus. The probability of BTS...
www.nature.com
April 8, 2025 at 12:49 PM
Reposted by Bayesian Brain
New paper in Imaging Neuroscience by Viktor Pfaffenrot, David G. Norris, et al:

Characterizing BOLD activation patterns in the human hippocampus with laminar fMRI

doi.org/10.1162/imag...
April 14, 2025 at 6:24 AM
Reposted by Bayesian Brain
1/7 Our paper on individual variability in decision-making is finally out in @nature.com! Inspired by the classic work by Mante and Sussillo, we trained many rats to solve context-dependent decision-making, and we found that different brains use different neural mechanisms to solve the same task!
Individual variability of neural computations underlying flexible decisions - Nature
Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among...
www.nature.com
March 21, 2025 at 1:29 PM
Reposted by Bayesian Brain
Beyond Mechanism—Extending Our Concepts of Causation in Neuroscience onlinelibrary.wiley.com/doi/10.1111/... - really pleased that this paper with Henry Potter is now published in the European Journal of Neuroscience 😊
Beyond Mechanism—Extending Our Concepts of Causation in Neuroscience
The search for neural mechanisms of behaviour often relies on a synchronic, driving view of causation, where neural activity drives more neural activity, which eventually drives behaviour. The real c...
onlinelibrary.wiley.com
March 14, 2025 at 10:25 AM
Reposted by Bayesian Brain
A proposal for unifying statistical learning at different scales: Long-Horizon Associative Learning https://www.biorxiv.org/content/10.1101/2025.03.12.642610v1
March 14, 2025 at 4:15 AM
Reposted by Bayesian Brain
Episodic memory facilitates flexible decision making via access to detailed events https://www.biorxiv.org/content/10.1101/2025.03.13.643066v1
March 14, 2025 at 2:15 PM
Reposted by Bayesian Brain
A trio of Comments about #consciousness from leading thinkers in the field

First, What makes a theory of consciousness unscientific?

www.nature.com/articles/s41...
What makes a theory of consciousness unscientific? - Nature Neuroscience
Theories of consciousness have a long and controversial history. One well-known proposal — integrated information theory — has recently been labeled as ‘pseudoscience’, which has caused a heated open ...
www.nature.com
March 11, 2025 at 3:10 PM
Reposted by Bayesian Brain
Attractor-based models for sequences and pattern generation in neural circuits https://www.biorxiv.org/content/10.1101/2025.03.07.642121v1
March 10, 2025 at 7:16 PM
Reposted by Bayesian Brain
Temporal Propagation of Neural State Boundaries in Naturalistic Context https://www.biorxiv.org/content/10.1101/2025.02.28.640737v1
March 2, 2025 at 7:15 PM
Reposted by Bayesian Brain
Dynamically rich states in balanced networks induced by single-neuron dynamics https://www.biorxiv.org/content/10.1101/2025.02.28.640576v1
March 2, 2025 at 7:15 PM
Reposted by Bayesian Brain
Linking Motor Working Memory to Explicit and Implicit Motor Learning https://www.biorxiv.org/content/10.1101/2025.02.27.640657v1
February 28, 2025 at 8:16 AM