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Posts by Neha Binish

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Color Game — How Well Can You Remember Colors? We show you colors. You recreate them from memory. Challenge friends to beat your score. It's harder than you think. Play free at dialed.gg.

Visual #workingmemory peeps, you're going to love this. This is super challenging - might give you pause on how we are measuring color memory...

My color memory is a 40.4/50. Please do worse so I feel better.
dialed.gg?c=3PCHDE

3 weeks ago 61 18 19 6
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Antimatter has been transported for the first time ever — in the back of CERN's truck Physicists have succeeded for the first time in transporting the most expensive and most volatile substance on Earth — antimatter.

Antimatter delivery anyone?

I first wrote about plans to transport this wildly volatile stuff (looking at another @cern.bsky.social expt) in 2018

They've finally done it! Amazing ⚛️🧪

This tiny sample of 92 antiprotons is a huge world first

My @nature.com story here: www.nature.com/articles/d41...

3 weeks ago 63 15 5 3
Cosyne 2026 - Cosyne Tutorial: Comparative Analysis of Neural Population Codes
Cosyne 2026 - Cosyne Tutorial: Comparative Analysis of Neural Population Codes YouTube video by Cosyne Talks

Cosyne invited me to give a long tutorial (4 hours!) on methods to quantify differences high-d neural recordings across animals, brain regions, deep neural nets, etc.

The recording is up on youtube. I hope it inspires more research on this fundamental topic!

www.youtube.com/watch?v=n44x...

1 month ago 160 56 3 1
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New paper hot off the (pre-)press! We dig into the evolutionary origins of neural computations for behavioral control across mice, monkeys, and humans: www.biorxiv.org/content/10.6....

As our lab's first foray into comparative analysis of neural dynamics, I’m super excited about this work! 1/18

1 month ago 137 48 7 1
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Manifolds, Dendrites, and the Geometry of Neural Computation The population doctrine—the view that populations, not individual neurons, constitute the fundamental unit of computation—has been gaining ground for years.

New Journal Club: Neural manifolds are maturing from visualization trick to biological claim. But if population activity lives on low-dimensional manifolds, what constrains the geometry?

2 months ago 57 14 2 0
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...

Conjunctive population coding integrates sensory evidence to guide adaptive human behavior. New work led by @jonasterlau.bsky.social in @pnas.org. We used human intracranial EEG to understand how coordinated population activity supports context-dependent behavior. www.pnas.org/doi/10.1073/.... (1/4)

3 months ago 18 9 1 0
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Aperiodic 1/f noise drives ripple activity in humans - Nature Communications How aperiodic 1/f noise drives ripple activity in human brain and impacts on ripple detections is not fully understood. Here authors show that ripple detections should be driven by the 1/f noise, whic...

Ripple oscillations are central for memory and sleep.

But ripple detection in humans remains challenging. Here we introduce a simulation approach in @natcomms.nature.com as common ripple detectors mainly pick up 1/f noise and not genuine oscillations

👇
www.nature.com/articles/s41...

#neuroskyence

2 months ago 100 35 2 3
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Neural representations of visual memory in inferotemporal cortex reveal a generalizable framework for translating between spikes and field potentials Translating neurophysiological findings requires understanding the relationship between common measures of brain activity in animals (spiking activity) and humans (local field potentials, LFP). Prior ...

🚨 New preprint!

Why do some insights from spikes translate to field potentials while others don't? In this paper we compare visual memory representations in spikes and LFPs to propose a general framework that answers this question.

www.biorxiv.org/content/10.6...

🧵 (1/10)

🧠🟦 🧠💻

3 months ago 109 33 3 6
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Reduced rank regression for neural communication: a tutorial for neuroscientists Reduced rank regression (RRR) is a statistical method for finding a low-dimensional linear mapping between a set of high-dimensional inputs and outputs. In recent years, RRR has found numerous applica...

Bichan Wu (@bichanw.bsky.social) & I wrote a tutorial paper on Reduced Rank Regression (RRR) — the statistical method underlying "communication subspaces" from Semedo et al 2019 — aimed at neuroscientists.

arxiv.org/abs/2512.12467

4 months ago 110 37 2 1
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Aperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy Epilepsy constitutes a clinically manifest excitability disorder that is characterized by aberrant electrophysiological activity in the electroencephalogram (EEG). The correct identification of the se...

Aperiodic activity reflects pathological waveforms in epilepsy (and not necessarily hyper-excitability or altered E/I-balance). The 1/f slope goes up *or* down as function of waveforms during seizures. New work by Laura Heidiri and Frank van Schalkwijk from the lab: www.jneurosci.org/content/45/5...

4 months ago 30 10 2 1
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Structure in noise: Recurrent connectivity shapes neural variability to balance perceptual and cognitive demands in the human brain Does neural variability reflect random noise or a feature that benefits adaptive behavior? Using intracranial recordings in humans, Terlau et al. demonstrate that neural variability results from the r...

New work from the lab published in @cp-neuron.bsky.social by @jonasterlau.bsky.social and Jan Martini. We describe that trial-by-trial variability indexes recurrent connectivity across the cortical hierarchy, which supports reliable and flexible coding www.cell.com/neuron/abstr... (1/4)

5 months ago 62 23 2 0
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Structure in noise: Recurrent connectivity shapes neural variability to balance perceptual and cognitive demands in the human brain Does neural variability reflect random noise or a feature that benefits adaptive behavior? Using intracranial recordings in humans, Terlau et al. demonstrate that neural variability results from the recurrent connectivity structure along the cortical hierarchy, which supports the spatiotemporal unfolding from perceptual to cognitive processing.
5 months ago 8 4 0 0
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The missing half of the neurodynamical systems theory Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.

Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions, writes Xiao-Jing Wang.

#neuroskyence

www.thetransmitter.org/neural-dynam...

5 months ago 61 27 0 6
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A cute little animation: a critically damped harmonic oscillator becomes unstable with integral control if the gain is too high. Here, at K_i = 2, a Hopf bifurcation occurs: two poles of the transfer function enter the right-hand s-plane and the closed-loop system becomes unstable.

7 months ago 3 2 0 0

📰 I really enjoyed writing this article with @thetransmitter.bsky.social! In it, I summarize parts of our recent perspective article on neural manifolds (www.nature.com/articles/s41...), with a focus on highlighting just a few cool insights into the brain we've already seen at the population level.

8 months ago 54 15 1 1
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🚨New paper🚨

Neural manifolds went from a niche-y word to an ubiquitous term in systems neuro thanks to many interesting findings across fields. But like with any emerging term, people use it very differently.

Here, we clarify our take on the term, and review key findings & challenges rdcu.be/ex8hW

8 months ago 154 46 2 1
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I am in Vancouver at ICML, and tomorrow I will present our newest paper "Partially Observable Reinforcement Learning with Memory Traces". We argue that eligibility traces are more effective than sliding windows as a memory mechanism for RL in POMDPs. 🧵

9 months ago 59 12 3 3
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Behavioral timescales increase when multiple locations are sampled. Left: Schematic of task designs. Participants fixated a central cross and were presented with a cue, which indicated the location participants should covertly attend to. After a variable cue-target interval a target appeared in either the cued or non-cued location and participants responded with a button press. In the first task participants only had to sample two locations, while in the second task, participants had to sample four locations. Second left: demeaned, time-resolved RTs as a function of the cue-target interval for one exemplary participant (two locations: red; four locations blue). Second right: power spectrums with different peak frequencies. Right: the autocorrelation function and the respective timescales.

Behavioral timescales increase when multiple locations are sampled. Left: Schematic of task designs. Participants fixated a central cross and were presented with a cue, which indicated the location participants should covertly attend to. After a variable cue-target interval a target appeared in either the cued or non-cued location and participants responded with a button press. In the first task participants only had to sample two locations, while in the second task, participants had to sample four locations. Second left: demeaned, time-resolved RTs as a function of the cue-target interval for one exemplary participant (two locations: red; four locations blue). Second right: power spectrums with different peak frequencies. Right: the autocorrelation function and the respective timescales.

How does the brain sample the #visual environment in space and time? @iraposo.bsky.social &co show that two distinct temporal patterns (rhythmic oscillations & aperiodic timescales) predict attention-guided behavior @plosbiology.org 🧪 plos.io/3ThTKVy

9 months ago 16 5 0 1

Hey #CVPR2025! Curious about this work? I'll be presenting it this morning! Poster 31, from 10:30 to 12:30 🤠

@cvprconference.bsky.social

10 months ago 8 1 0 0
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I'm flying to Michigan today to present our new paper "A Pontryagin Perspective on Reinforcement Learning" at L4DC, where it has been nominated for the Best Paper Award! We ask the question: is it possible to learn an open-loop controller via RL? 🧵

10 months ago 24 5 3 3
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🙌 It's been a wonderful PhD Retreat at the HIH yesterday, with lots of time for exchange, poster sessions and the election of the new PhD representatives: Stefano Iavarone, Niloofar Mokhtari @estherkuehn.bsky.social & Surender Surender @ghtabatabai.bsky.social 🎉

1 year ago 9 4 0 1

Really impressive Carolin!

1 year ago 1 0 1 0
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Proud moment to see work from my PhD in the @granadalab.bsky.social featured on the cover of the April 2025 issue of @molsystbiol.org 🥹 special thanks to my talented husband who helped design this cover. Check out the full paper here: lnkd.in/eDVQuRfc.

1 year ago 14 4 1 0

really cool work @granadalab.bsky.social!!

1 year ago 1 0 0 0
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New work out in @naturephysics.bsky.social
Led by @NicaGutu & Malthe Nordentoft + great collaborators.

We show that circadian synchrony shapes cell growth. When coordination is lost, clock–cell cycle coupling breaks down.

May help explain paradoxes in circadian cancer biology.
📖 rdcu.be/efNaY

1 year ago 10 6 4 0
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How does the brain integrate prior expectation with sensory evidence? 👀🧠💭

We show that sensory and action neural tuning play distinct roles in guiding visual decisions. Dampening expected action information drives confirmation bias, while dynamic sensory tuning explains speed-accuracy trade-offs.

1 year ago 8 5 1 1