@ClopathLab

Here is the Clopath Lab website: https://xitter.cf/t.co/0kT5QXdBN1

Joined July 2020
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How can a biologically plausible synaptic plasticity rule tame the chaos in recurrent neural networks? Check out our latest preprint in @ClopathLab! biorxiv.org/content/10.1101/…
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SWC@SWC_Neuro19 Feb 2025
Check out the full paper in @CellCellPress from Mateo Velez-Fort, Lee Cossell, @_porta_laura, @ClopathLab and Troy Margrie ⬇️ cell.com/cell/fulltext/S0092…

Motor and vestibular signals in the visual cortex permit the separation of self versus externally...

Mouse primary visual cortical neurons receive running, linear translation, and visual inputs that linearly combine to differentially represent the same visual flow information, depending on the...

cell.com
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All details, links, code etc. can be found here: tomge.org/papers/simpl/ And a huge shout out to my amazing collaborators @PierreGlaser as well as @ClopathLab @neuro_kim @caswellcaswell! 2/21
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Ian Cone@dr_conehed12 Jul 2024
📜Now in @NatureComms : We propose an alternate theory of "RPE-like" DA transients, in which DA's "goal" is to facilitate learning of temporal bases for reward predictive cues (not necessarily to encode a strict RPE). nature.com/articles/s41467-0… w/ Harel Shouval @ClopathLab

Learning to express reward prediction error-like dopaminergic activity requires plastic represent...

Nature Communications - Reinforcement learning is essential for survival. In this paper, the authors explain why current machine learning models are hard to implement biologically, propose a...

nature.com
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New paper! In memory and sensorial systems, neural ensembles tend to drift across several days, but the underlying mechanisms are unclear. We modelled excitability in a recurrent neural network to explain drift and time-stamping of neural ensembles. elifesciences.org/articles/8… 1/5

Drift of neural ensembles driven by slow fluctuations of intrinsic excitability

Internal neural variability can induce drift of memory ensembles through synaptic plasticity, allowing for encoding of temporal information.

elifesciences.org
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📜Out now @NatureComms !😊 We show that what you learn & how you learn it can lead to important differences in neural activity structure + these differences play an important role in later adaptation nature.com/articles/s41467-0… w/ @mattperich @LeeEugene57 @JAlGallego @ClopathLab 🧵

De novo motor learning creates structure in neural activity that shapes adaptation

Nature Communications - Using recurrent neural networks, here the authors show that learning the same task through different experiences can lead to important differences in how neural activity is...

nature.com
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SWC@SWC_Neuro24 Apr 2024
Vezha Boboeva, Alberto Pezzotta, @ClopathLab, and @AthenaAkrami describe how neural circuits can give rise to both recency and central tendency biases at the same time through a single mechanism. Read the story: sainsburywellcome.org/web/re… Image by Julia Kuhl @mulesome
Illustration of woman listening to sounds, with a mouse on her shoulder. In her head a thought bubble contains synaptic connections between abstracted neurons and a peak that looks like a tuning curve. Behind the mouse in a checkerboard.

ALT Illustration of woman listening to sounds, with a mouse on her shoulder. In her head a thought bubble contains synaptic connections between abstracted neurons and a peak that looks like a tuning curve. Behind the mouse in a checkerboard.

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Adil Khan@adilgkhan8 Dec 2023
Please check out our study on VIP interneurons & attention, now published in @NeuroCellPress. Particularly proud that this first paper from the lab is essentially a negative result! cell.com/neuron/fulltext/S08… Led by the amazing @DMyersJoseph with @k47h4 @marianf_otero & @ClopathLab
Adil Khan@adilgkhan8 Feb 2023
Attention can enhance responses in sensory areas, and this is a pretty fundamental cognitive process, but how does this happen? Check out the latest preprint from our lab which tackles this question, led by the amazing Dylan Myers-Joseph! @DMyersJoseph biorxiv.org/content/10.1101/…

Attentional modulation is orthogonal to disinhibition by VIP interneurons in primary visual cortex

Attentional modulation of sensory processing is a key feature of cognition, yet its neural circuit basis is poorly understood. A candidate mechanism is the disinhibition of pyramidal cells through...

biorxiv.org
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We have completed our work showing how inhibitory interneurons of the hippocampus regulate pyramidal cell ensembles biorxiv.org/content/10.1101/… Fantastic collaboration with @ClopathLab @ImperialBrains and @EmilianiLab @InstVisionParis Summary below👇

Functional networks of inhibitory neurons orchestrate synchrony in the hippocampus

Inhibitory interneurons are a critical component of cortical circuits. Beyond providing inhibition, they have been proposed to coordinate the firing of excitatory neurons within cell assemblies....

biorxiv.org
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🚨Tweetprint time! 🚨 We studied how de novo motor learning alters the underlying neural activity & affects motor adaptation using RNNs 📜 t.ly/vSLo Special thanks to coauthors @mattperich @PresNCM @JAlGallego @ClopathLab Pls read 🧵 + RT! 1/n
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🎡👩‍🏫New paper by @chingfang17, Dmitriy Aronov, Larry Abbott, and me: elifesciences.org/articles/8…! A recurrent neural network learns the successor representation! In @eLife with related complementary papers that learn the SR in feedforward architectures (see 🧵) 🎡👩‍🏫

Neural learning rules for generating flexible predictions and computing the successor representation

A recurrent network using a simple, biologically plausible learning rule can learn the successor representation, suggesting that long-horizon predictions are computations that are easily accessible...

elifesciences.org
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(1/5) Reactivation of neurons in the hippocampus is important for memory. So does reactivation induce or modulate synaptic plasticity? This is the question we set out to answer in our latest study published in @eLife in collaboration with @ClopathLab. The answer is yes but..
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🚨First preprint from the lab!! All credit goes to @cesca_gst & @HernyMV who co-led this project. tinyurl.com/47w98a6b We show that movement-related striatal dopamine signals encode an action prediction error, a value free teaching signal. 🧵👇 1/25
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New preprint (first from the lab)! 📢 "From recency to central tendency biases in working memory: a unifying attractor network model" by @vizhe4 (Vezha Boboeva), Alberto Pezzotta, co-supervised by me & @ClopathLab! @SWC_Neuro, @imperialcollege biorxiv.org/content/10.1101/… (1/25)

From recency to the central tendency bias in working memory: a unifying attractor network model

The central tendency bias, or contraction bias is a phenomenon where the judgment of the magnitude of items held in working memory is biased towards the average of past observations. This phenomenon...

biorxiv.org
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Happy to share our fresh-off-the-press Cell Reports article with @carloswert and @ClopathLab. We have shown how an interplay of serotonin and dopamine can help navigation. Art credit to @mulesome cell.com/cell-reports/fullte…
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Learning to avoid danger while retaining normal responses to safe stimuli is vital to well-being & survival. A @NatureComms study led by @neimarkgeffen @neurokath @clopathlab examines auditory cortex & fear responses in mice nature.com/articles/s41467-0…

Neuronal activity in sensory cortex predicts the specificity of learning in mice

Nature Communications - The neural mechanisms underpinning the specificity of fear memories remains poorly understood. Here, the authors highlight how neural activity prior to fear learning impacts...

nature.com
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ClopathLab retweeted
Adil Khan@adilgkhan13 Dec 2021
Please check out our paper now published @NeuroCellPress. We show that learning and attention rely on distinct mechanisms, see below for the tweetprint! cell.com/neuron/fulltext/S08…

Learning and attention increase visual response selectivity through distinct mechanisms

Learning and attention can enhance sensory processing in cortical circuits at longer and shorter timescales. By tracking the same excitatory and inhibitory neurons in the visual cortex across...

cell.com
Adil Khan@adilgkhan4 Feb 2021
Check out our preprint where we directly compare the modulatory effects of learning and attention on the same identified excitatory and inhibitory neurons in mouse V1. Tweetprint below biorxiv.org/content/10.1101/…
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Work by a fantastic postdoc, Tristan Geiller, @tgeiller. Great collaboration: Sadra Sadeh and Claudia Clopath #ClopathLab, Heike Blockus and Franck Polleux #fpolleux, Andy Murray @andymurray000, and Balazs Rozsa @Femtonics and our lab: Sebi Rolotti, Bert Vancura, Adrian Negrean!
Columbia University's Zuckerman Institute
@ZuckermanBrain1 Dec 2021
How many neurons does it take to form a memory? Using cutting-edge techniques, @tgeiller and the @attila_losonczy lab, observed small circuits of cells in the hippocampus forming a spatial map, in real time. The study was published today, in @nature. bit.ly/3xGzEbI
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Big thank you to all our collaborators @HeikeNeuro @fpolleux @ClopathLab @andymurray000 @Femtonics @attila_losonczy and the @ZuckermanBrain.
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Happy to share my new paper, out today in @Nature. I developed a single-cell approach to trace inputs and manipulate the activity of individual place cells in CA1, which revealed how neurons are embedded into specific and recurrent subcircuits. nature.com/articles/s41586-0…

Local circuit amplification of spatial selectivity in the hippocampus

Nature - Single-cell tracing and optogenetics manipulation in mice are used to show how spatial tuning of individual pyramidal cells in CA1 can propagate to and be amplified by their local...

nature.com
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