#neuropixels — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #neuropixels, aggregated by home.social.
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Just out on @thetransmitter: 18 teams analyzed the same #Neuropixels dataset and obtained strongly divergent answers.
Even for #SharpWaveRipple detection, the apparent consensus masked major differences: Some teams detected almost no ripples, others up to 10 per minute. Functional connectivity and spike-spike interaction analyses diverged even more.
#Neuroscience #CompNeuro #electrophysiology #Neurophysiology
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Just out on @thetransmitter: 18 teams analyzed the same #Neuropixels dataset and obtained strongly divergent answers.
Even for #SharpWaveRipple detection, the apparent consensus masked major differences: Some teams detected almost no ripples, others up to 10 per minute. Functional connectivity and spike-spike interaction analyses diverged even more.
#Neuroscience #CompNeuro #electrophysiology #Neurophysiology
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Just out on @thetransmitter: 18 teams analyzed the same #Neuropixels dataset and obtained strongly divergent answers.
Even for #SharpWaveRipple detection, the apparent consensus masked major differences: Some teams detected almost no ripples, others up to 10 per minute. Functional connectivity and spike-spike interaction analyses diverged even more.
#Neuroscience #CompNeuro #electrophysiology #Neurophysiology
-
Just out on @thetransmitter: 18 teams analyzed the same #Neuropixels dataset and obtained strongly divergent answers.
Even for #SharpWaveRipple detection, the apparent consensus masked major differences: Some teams detected almost no ripples, others up to 10 per minute. Functional connectivity and spike-spike interaction analyses diverged even more.
#Neuroscience #CompNeuro #electrophysiology #Neurophysiology
-
Just out on @thetransmitter: 18 teams analyzed the same #Neuropixels dataset and obtained strongly divergent answers.
Even for #SharpWaveRipple detection, the apparent consensus masked major differences: Some teams detected almost no ripples, others up to 10 per minute. Functional connectivity and spike-spike interaction analyses diverged even more.
#Neuroscience #CompNeuro #electrophysiology #Neurophysiology
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🧠🔦 It’s finally there: #NeuropixelsOpto which integrates high-density #electrophysiology and #optogenetics on the same probe.
The just presented prototype combines 960 recording sites w 14 blue & 14 red light emitters on a 70 µm-wide shank, enabling spatially addressable #optogenetic activation, silencing and #optotagging during large-scale recordings.
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🧠🔦 It’s finally there: #NeuropixelsOpto which integrates high-density #electrophysiology and #optogenetics on the same probe.
The just presented prototype combines 960 recording sites w 14 blue & 14 red light emitters on a 70 µm-wide shank, enabling spatially addressable #optogenetic activation, silencing and #optotagging during large-scale recordings.
-
🧠🔦 It’s finally there: #NeuropixelsOpto which integrates high-density #electrophysiology and #optogenetics on the same probe.
The just presented prototype combines 960 recording sites w 14 blue & 14 red light emitters on a 70 µm-wide shank, enabling spatially addressable #optogenetic activation, silencing and #optotagging during large-scale recordings.
-
🧠🔦 It’s finally there: #NeuropixelsOpto which integrates high-density #electrophysiology and #optogenetics on the same probe.
The just presented prototype combines 960 recording sites w 14 blue & 14 red light emitters on a 70 µm-wide shank, enabling spatially addressable #optogenetic activation, silencing and #optotagging during large-scale recordings.
-
🧠🔦 It’s finally there: #NeuropixelsOpto which integrates high-density #electrophysiology and #optogenetics on the same probe.
The just presented prototype combines 960 recording sites w 14 blue & 14 red light emitters on a 70 µm-wide shank, enabling spatially addressable #optogenetic activation, silencing and #optotagging during large-scale recordings.
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🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.
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🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.
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🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.
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🧠 New #preprint by Komi et al. (2025): Neural #manifolds that orchestrate walking and stopping. Using #Neuropixels recordings from the lumbar spinal cord of freely walking rats, they show that #locomotion arises from rotational #PopulationDynamics within a low-dimensional limit-cycle #manifold. When walking stops, the dynamics collapse into a postural manifold of stable fixed points, each encoding a distinct pose.
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🧠 Using #Neuropixels recordings + deep-learning dynamics (FINDR), Luo et al. (2025) show that rat #decisionmaking switches from input-driven to autonomous network regimes mid-trial. After this nTc point, new sensory evidence no longer affects choice. Highlights fronto-striatal division of labor and constrains #AttractorModels.
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🧠 Using #Neuropixels recordings + deep-learning dynamics (FINDR), Luo et al. (2025) show that rat #decisionmaking switches from input-driven to autonomous network regimes mid-trial. After this nTc point, new sensory evidence no longer affects choice. Highlights fronto-striatal division of labor and constrains #AttractorModels.
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🧠 Using #Neuropixels recordings + deep-learning dynamics (FINDR), Luo et al. (2025) show that rat #decisionmaking switches from input-driven to autonomous network regimes mid-trial. After this nTc point, new sensory evidence no longer affects choice. Highlights fronto-striatal division of labor and constrains #AttractorModels.
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🧠 Using #Neuropixels recordings + deep-learning dynamics (FINDR), Luo et al. (2025) show that rat #decisionmaking switches from input-driven to autonomous network regimes mid-trial. After this nTc point, new sensory evidence no longer affects choice. Highlights fronto-striatal division of labor and constrains #AttractorModels.
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🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:
🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1
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🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:
🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1
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🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:
🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1
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🧠 New preprint by Kashefi et al. (2025): High-density #Neuropixels recordings in monkeys reveal compositional #NeuralDynamics in #MotorCortex. A posture subspace anchors fixed points, rotational dynamics link them to generate movement, and a uniform shift tracks trial state. Recurrent models show this geometry emerges only when controlling a full arm, suggesting posture-dependent control as a core principle:
🌍 https://www.biorxiv.org/content/10.1101/2025.09.04.674069v1
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🧠 New landmark study “A #brain-wide map of #NeuralActivity during complex #behaviour” by the #InternationalBrainLaboratory (Angelaki et al., 2025): >600,000 #neurons across 279 regions in 139 mice, unified across 12 labs with #Neuropixels probes.
#DecisionMaking isn’t confined to single hubs but distributed across the brain, incl. #sensory, #motor & #reward areas, showing how #cognitive processes emerge from brain-wide #dynamics.
🌍 https://doi.org/10.1038/s41586-025-09235-0 -
🧠 New landmark study “A #brain-wide map of #NeuralActivity during complex #behaviour” by the #InternationalBrainLaboratory (Angelaki et al., 2025): >600,000 #neurons across 279 regions in 139 mice, unified across 12 labs with #Neuropixels probes.
#DecisionMaking isn’t confined to single hubs but distributed across the brain, incl. #sensory, #motor & #reward areas, showing how #cognitive processes emerge from brain-wide #dynamics.
🌍 https://doi.org/10.1038/s41586-025-09235-0 -
🧠 New landmark study “A #brain-wide map of #NeuralActivity during complex #behaviour” by the #InternationalBrainLaboratory (Angelaki et al., 2025): >600,000 #neurons across 279 regions in 139 mice, unified across 12 labs with #Neuropixels probes.
#DecisionMaking isn’t confined to single hubs but distributed across the brain, incl. #sensory, #motor & #reward areas, showing how #cognitive processes emerge from brain-wide #dynamics.
🌍 https://doi.org/10.1038/s41586-025-09235-0 -
🧠 New landmark study “A #brain-wide map of #NeuralActivity during complex #behaviour” by the #InternationalBrainLaboratory (Angelaki et al., 2025): >600,000 #neurons across 279 regions in 139 mice, unified across 12 labs with #Neuropixels probes.
#DecisionMaking isn’t confined to single hubs but distributed across the brain, incl. #sensory, #motor & #reward areas, showing how #cognitive processes emerge from brain-wide #dynamics.
🌍 https://doi.org/10.1038/s41586-025-09235-0 -
The sound of cells in the brain just doesn’t get old! It’s how I fell in love with #neuroscience 🧠🧪👩🏻🔬
Celebrating small victories - first #neuropixels recordings in the lab. Congrats to the team that made it happen!
-
The sound of cells in the brain just doesn’t get old! It’s how I fell in love with #neuroscience 🧠🧪👩🏻🔬
Celebrating small victories - first #neuropixels recordings in the lab. Congrats to the team that made it happen!
-
The sound of cells in the brain just doesn’t get old! It’s how I fell in love with #neuroscience 🧠🧪👩🏻🔬
Celebrating small victories - first #neuropixels recordings in the lab. Congrats to the team that made it happen!
-
The sound of cells in the brain just doesn’t get old! It’s how I fell in love with #neuroscience 🧠🧪👩🏻🔬
Celebrating small victories - first #neuropixels recordings in the lab. Congrats to the team that made it happen!
-
The sound of cells in the brain just doesn’t get old! It’s how I fell in love with #neuroscience 🧠🧪👩🏻🔬
Celebrating small victories - first #neuropixels recordings in the lab. Congrats to the team that made it happen!
-
#PostdocJob from the #RuedigerLab at #UCL, London:
"I’m excited to share that we have an opening for a postdoctoral position in my lab at University College London. This role is funded by the Wellcome Trust and offers a unique chance to join our team as we work to understand how cortical and subcortical visual circuits work together to turn visual signals into learned actions in mice.
In this role, you will:
• Design and perform innovative experiments in head-fixed and freely moving mice
• Use advanced techniques like #Neuropixels recordings and two-photon calcium imaging to monitor and analyze brain activity
• Collaborate closely with a diverse team of experimentalists and computational neuroscientists
• Contribute to the preparation and dissemination of our research findings through publications and conference presentationsThis is a fantastic opportunity to make original contributions to our growing research group. If you have a strong background in in vivo physiology, mouse behavioral studies, and relevant data analysis - and you’re eager to expand your skills while playing a key role in our projects - I’d love to hear from you.
For further details, including the full job description, please check out:
Job AdI look forward to the possibility of you joining our team.
Sarah" -
#PostdocJob from the #RuedigerLab at #UCL, London:
"I’m excited to share that we have an opening for a postdoctoral position in my lab at University College London. This role is funded by the Wellcome Trust and offers a unique chance to join our team as we work to understand how cortical and subcortical visual circuits work together to turn visual signals into learned actions in mice.
In this role, you will:
• Design and perform innovative experiments in head-fixed and freely moving mice
• Use advanced techniques like #Neuropixels recordings and two-photon calcium imaging to monitor and analyze brain activity
• Collaborate closely with a diverse team of experimentalists and computational neuroscientists
• Contribute to the preparation and dissemination of our research findings through publications and conference presentationsThis is a fantastic opportunity to make original contributions to our growing research group. If you have a strong background in in vivo physiology, mouse behavioral studies, and relevant data analysis - and you’re eager to expand your skills while playing a key role in our projects - I’d love to hear from you.
For further details, including the full job description, please check out:
Job AdI look forward to the possibility of you joining our team.
Sarah" -
#PostdocJob from the #RuedigerLab at #UCL, London:
"I’m excited to share that we have an opening for a postdoctoral position in my lab at University College London. This role is funded by the Wellcome Trust and offers a unique chance to join our team as we work to understand how cortical and subcortical visual circuits work together to turn visual signals into learned actions in mice.
In this role, you will:
• Design and perform innovative experiments in head-fixed and freely moving mice
• Use advanced techniques like #Neuropixels recordings and two-photon calcium imaging to monitor and analyze brain activity
• Collaborate closely with a diverse team of experimentalists and computational neuroscientists
• Contribute to the preparation and dissemination of our research findings through publications and conference presentationsThis is a fantastic opportunity to make original contributions to our growing research group. If you have a strong background in in vivo physiology, mouse behavioral studies, and relevant data analysis - and you’re eager to expand your skills while playing a key role in our projects - I’d love to hear from you.
For further details, including the full job description, please check out:
Job AdI look forward to the possibility of you joining our team.
Sarah" -
#PostdocJob from the #RuedigerLab at #UCL, London:
"I’m excited to share that we have an opening for a postdoctoral position in my lab at University College London. This role is funded by the Wellcome Trust and offers a unique chance to join our team as we work to understand how cortical and subcortical visual circuits work together to turn visual signals into learned actions in mice.
In this role, you will:
• Design and perform innovative experiments in head-fixed and freely moving mice
• Use advanced techniques like #Neuropixels recordings and two-photon calcium imaging to monitor and analyze brain activity
• Collaborate closely with a diverse team of experimentalists and computational neuroscientists
• Contribute to the preparation and dissemination of our research findings through publications and conference presentationsThis is a fantastic opportunity to make original contributions to our growing research group. If you have a strong background in in vivo physiology, mouse behavioral studies, and relevant data analysis - and you’re eager to expand your skills while playing a key role in our projects - I’d love to hear from you.
For further details, including the full job description, please check out:
Job AdI look forward to the possibility of you joining our team.
Sarah" -
#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillationsIf you've read it, will you let me know what you think?
The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!
I have only done a quick reading so far, but am confused by a few points:
- the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
- the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!
the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)
also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab
Let me know what you think!
-
#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillationsIf you've read it, will you let me know what you think?
The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!
I have only done a quick reading so far, but am confused by a few points:
- the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
- the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!
the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)
also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab
Let me know what you think!
-
#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillationsIf you've read it, will you let me know what you think?
The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!
I have only done a quick reading so far, but am confused by a few points:
- the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
- the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!
the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)
also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab
Let me know what you think!
-
#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillationsIf you've read it, will you let me know what you think?
The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!
I have only done a quick reading so far, but am confused by a few points:
- the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
- the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!
the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)
also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab
Let me know what you think!
-
#NeuroESC #JournalClub
Reading Mental exploration of future choices during immobility theta oscillationsIf you've read it, will you let me know what you think?
The authors look at #ThetaSequences in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our two-goals task). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. Hippocampal theta sequences reflect current goals)!
I have only done a quick reading so far, but am confused by a few points:
- the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or #PlaceCells only?
- the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that #Neuropixels are not the best to record from dCA1!
the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)
also, this study is very related to this other paper, which is not discussed or even cited (😕 ):
Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze #CsisvariLab
Let me know what you think!
-
Every time I heard that the vertebrate retina does not receive any feedback from the central brain I expressed scepticism, and was told repeatedly that no, feedback fibers running backwards along the optic nerve were never found.
Now*, Sylvia Schröder et al. reports that:
"Arousal modulates retinal output", Schröder et al. 2020 https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4
Recordings with neuropixels probes on the optic tract of the mouse showed changes in retinal ganglion cell (RGC) activity (the output neurons of the retina whose axons make up the optical tract) in concordance with the arousal state of the mouse. They also measured activity of RGC axon boutons in the superior colliculus.
What a fantastic piece of work.
* for long values of "now".
-
Every time I heard that the vertebrate retina does not receive any feedback from the central brain I expressed scepticism, and was told repeatedly that no, feedback fibers running backwards along the optic nerve were never found.
Now*, Sylvia Schröder et al. reports that:
"Arousal modulates retinal output", Schröder et al. 2020 https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4
Recordings with neuropixels probes on the optic tract of the mouse showed changes in retinal ganglion cell (RGC) activity (the output neurons of the retina whose axons make up the optical tract) in concordance with the arousal state of the mouse. They also measured activity of RGC axon boutons in the superior colliculus.
What a fantastic piece of work.
* for long values of "now".
-
Every time I heard that the vertebrate retina does not receive any feedback from the central brain I expressed scepticism, and was told repeatedly that no, feedback fibers running backwards along the optic nerve were never found.
Now*, Sylvia Schröder et al. reports that:
"Arousal modulates retinal output", Schröder et al. 2020 https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4
Recordings with neuropixels probes on the optic tract of the mouse showed changes in retinal ganglion cell (RGC) activity (the output neurons of the retina whose axons make up the optical tract) in concordance with the arousal state of the mouse. They also measured activity of RGC axon boutons in the superior colliculus.
What a fantastic piece of work.
* for long values of "now".
-
Every time I heard that the vertebrate retina does not receive any feedback from the central brain I expressed scepticism, and was told repeatedly that no, feedback fibers running backwards along the optic nerve were never found.
Now*, Sylvia Schröder et al. reports that:
"Arousal modulates retinal output", Schröder et al. 2020 https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4
Recordings with neuropixels probes on the optic tract of the mouse showed changes in retinal ganglion cell (RGC) activity (the output neurons of the retina whose axons make up the optical tract) in concordance with the arousal state of the mouse. They also measured activity of RGC axon boutons in the superior colliculus.
What a fantastic piece of work.
* for long values of "now".
-
Every time I heard that the vertebrate retina does not receive any feedback from the central brain I expressed scepticism, and was told repeatedly that no, feedback fibers running backwards along the optic nerve were never found.
Now*, Sylvia Schröder et al. reports that:
"Arousal modulates retinal output", Schröder et al. 2020 https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4
Recordings with neuropixels probes on the optic tract of the mouse showed changes in retinal ganglion cell (RGC) activity (the output neurons of the retina whose axons make up the optical tract) in concordance with the arousal state of the mouse. They also measured activity of RGC axon boutons in the superior colliculus.
What a fantastic piece of work.
* for long values of "now".