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Audrey Hay

@audreyhay

PI neurobiologist at CNRS France. Thalamocortical oscillations, sleep, interneurons.

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13.01.2024
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Latest posts by Audrey Hay @audreyhay

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Deconstruction of a memory engram reveals distinct ensembles recruited at learning - Nature Neuroscience Pouget et al. identified distinct CA1 neuron ensembles active during specific moments of fear learning and uncovered the core engram essential for memory formation.

How does the brain build a memory?
A common assumption is that the neurons activated during an experience collectively form the memory engram.
In our new Nature Neuroscience paper (finally out!), we show that this is not the case.
www.nature.com/articles/s41...

11.03.2026 21:48 ๐Ÿ‘ 137 ๐Ÿ” 51 ๐Ÿ’ฌ 11 ๐Ÿ“Œ 1
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A prefrontal cortex map based on single-neuron activity - Nature Neuroscience The authors mapped spontaneous and choice activity across mouse prefrontal cortex. The activity maps aligned with intrinsic connectivity rather than anatomical subregions, suggesting that connectivity...

Main postdoc study out! We can redefine prefrontal cortex regions with single-unit activity! Grateful to @carlenlab.bsky.social and @weltgeischt.bsky.social who made this crazy project real. Thanks to all co-authors, collaborators, and reviewers.
www.nature.com/articles/s41...

20.01.2026 10:53 ๐Ÿ‘ 97 ๐Ÿ” 21 ๐Ÿ’ฌ 5 ๐Ÿ“Œ 3

๐Ÿง  Check out our new study!
Cรฉcile Bridlance et al. reveal how distinct, local, and cell-typeโ€“specific sources of CSF-1 orchestrate microglial colonization during early brain development.

๐Ÿ™๐Ÿ™๐Ÿ™ A big thank you to everyone involved!

20.11.2025 14:35 ๐Ÿ‘ 16 ๐Ÿ” 3 ๐Ÿ’ฌ 3 ๐Ÿ“Œ 1
Color-coded mean firing rate maps of place fields detected in the forth trials (left, sorted by the location of place fields peak) and back trials (right, sorted according to firing order in the forth trials) of all bidirectional cells recorded in the track with objects (top) or without objects (bottom). The color represents the intensity of the mean firing rate in a given bin normalized to the maximum mean firing rate (peak rate) in each direction. Note that in the CP condition, the mean firing map in one direction is the mirror image of the mean firing map in the other direction, indicating strong distance coding.

Color-coded mean firing rate maps of place fields detected in the forth trials (left, sorted by the location of place fields peak) and back trials (right, sorted according to firing order in the forth trials) of all bidirectional cells recorded in the track with objects (top) or without objects (bottom). The color represents the intensity of the mean firing rate in a given bin normalized to the maximum mean firing rate (peak rate) in each direction. Note that in the CP condition, the mean firing map in one direction is the mirror image of the mean firing map in the other direction, indicating strong distance coding.

Happy to share our new paper with Mathilde Nordlund and Julie Koenig out @currentbiology.bsky.social. We used virtual reality in mice to study hippocampal distance coding. Our results suggest a primary contribution of grid cells to distance over cue-dependent place cell coding.
shorturl.at/63yFo

11.09.2025 13:23 ๐Ÿ‘ 43 ๐Ÿ” 15 ๐Ÿ’ฌ 4 ๐Ÿ“Œ 0
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Cell-specific wiring routes information flow through hippocampal CA3 The hippocampus, critical for learning and memory, is dogmatically described as a trisynaptic circuit where dentate gyrus granule cells (GCs), CA3 pyrโ€ฆ

Our work looking into heterogeneous pyramidal neurons (PNs) in hippocampal CA3 is now online @cp-cellreports.bsky.social: www.sciencedirect.com/science/arti... With a pile of multicellular recordings from mouse CA3, we characterised the recurrent network at the single cell level...

02.08.2025 14:25 ๐Ÿ‘ 37 ๐Ÿ” 7 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 1
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Layer 1 NDNF interneurons form distinct subpopulations with opposite activation patterns during sleep in freely behaving mice | PNAS Non–rapid eye movement (NREM) sleep facilitates memory consolidation by transferring information from the hippocampus to the neocortex. This transf...

Happy to share our new paper by Aurรฉlie Brรฉcier*, Gaรซlle Mailhos* and all, combining LFP and Miniscope to study L1 NDNF neurons diversity

Layer 1 NDNF interneurons form distinct subpopulations with opposite activation patterns during sleep in freely behaving mice | PNAS www.pnas.org/doi/10.1073/...

25.08.2025 11:35 ๐Ÿ‘ 3 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Bravo Pierre !

26.06.2025 17:38 ๐Ÿ‘ 1 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
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Sleep needโ€“dependent plasticity of a thalamic circuit promotes homeostatic recovery sleep Prolonged wakefulness leads to persistent, deep recovery sleep (RS). However, the neuronal circuits that mediate this process remain elusive. From a circuit screen in mice, we identified a group of th...

New collaborative study out with Mark Wuโ€™s group identifies a thalamic reuniens-zona incerta circuit as both responsive to induced sleep deprivation and essential for mediating recovery sleep. Further perspective on this work follows./1
www.science.org/doi/epdf/10....

19.06.2025 18:45 ๐Ÿ‘ 47 ๐Ÿ” 14 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 0

Don't miss the opportunity to register at early-bird rate for a vibrant neuroscience program hosted by the french neuroscience society. ๐Ÿ˜

15.04.2025 07:55 ๐Ÿ‘ 2 ๐Ÿ” 5 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

โš ๏ธ Un poste de MCU en Maths-Info-Stats s'ouvre bientรดt ร  Sorbonne Universitรฉ pour rejoindre mon รฉquipe (background computationnel et experience en analyse de donnรฉes de neurosciences experimentales souhaitรฉs + qualification requise). Contactez-moi pour plus d'infos!

Please RP!

22.01.2025 16:12 ๐Ÿ‘ 8 ๐Ÿ” 31 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Layer 1 NDNF interneurons form distinct subpopulations with opposite activation patterns during sleep in freely behaving mice https://www.biorxiv.org/content/10.1101/2025.01.10.632405v1

11.01.2025 16:17 ๐Ÿ‘ 4 ๐Ÿ” 1 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0

Congratulations Mohamady!! So well deserved! Also I really enjoyed your last paper, super interesting and thought provoking. I am looking forward to your next achievement as group leader and would definitely encourage trainees to join your lab!!

22.12.2024 10:21 ๐Ÿ‘ 1 ๐Ÿ” 0 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0