#compneurosci — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #compneurosci, aggregated by home.social.
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Computational neuroscience lecture notebook from Natalia Cónsul:
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Computational neuroscience lecture notebook from Natalia Cónsul:
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Computational neuroscience lecture notebook from Natalia Cónsul:
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Computational neuroscience lecture notebook from Natalia Cónsul:
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Computational neuroscience lecture notebook from Natalia Cónsul:
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Dendrites are what machine learning is missing. (And inhibitory neurons, but hey, one at a time.)
"What can a neuron compute", by Ido Aizenbud, David Beniaguev, Noam Pnueli, Idan Segev, Michael London, 2026
https://www.biorxiv.org/content/10.64898/2026.06.08.730984v1All about dendrites. Extending prior work by Beniaguev et al. 2021 and Jones and Kording 2021.
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Dendrites are what machine learning is missing. (And inhibitory neurons, but hey, one at a time.)
"What can a neuron compute", by Ido Aizenbud, David Beniaguev, Noam Pnueli, Idan Segev, Michael London, 2026
https://www.biorxiv.org/content/10.64898/2026.06.08.730984v1All about dendrites. Extending prior work by Beniaguev et al. 2021 and Jones and Kording 2021.
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Dendrites are what machine learning is missing. (And inhibitory neurons, but hey, one at a time.)
"What can a neuron compute", by Ido Aizenbud, David Beniaguev, Noam Pnueli, Idan Segev, Michael London, 2026
https://www.biorxiv.org/content/10.64898/2026.06.08.730984v1All about dendrites. Extending prior work by Beniaguev et al. 2021 and Jones and Kording 2021.
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Dendrites are what machine learning is missing. (And inhibitory neurons, but hey, one at a time.)
"What can a neuron compute", by Ido Aizenbud, David Beniaguev, Noam Pnueli, Idan Segev, Michael London, 2026
https://www.biorxiv.org/content/10.64898/2026.06.08.730984v1All about dendrites. Extending prior work by Beniaguev et al. 2021 and Jones and Kording 2021.
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Dendrites are what machine learning is missing. (And inhibitory neurons, but hey, one at a time.)
"What can a neuron compute", by Ido Aizenbud, David Beniaguev, Noam Pnueli, Idan Segev, Michael London, 2026
https://www.biorxiv.org/content/10.64898/2026.06.08.730984v1All about dendrites. Extending prior work by Beniaguev et al. 2021 and Jones and Kording 2021.
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Junior Theoretical Neuroscientists Workshop, at the Flatiron Institute in New York, in July 21st to 24th, 2026.
https://www.simonsfoundation.org/event/jrworkshop2026/
Apply until April 15th.
"Admitted participants will be provided with travel, lodging, and meals for the duration of the workshop."
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Junior Theoretical Neuroscientists Workshop, at the Flatiron Institute in New York, in July 21st to 24th, 2026.
https://www.simonsfoundation.org/event/jrworkshop2026/
Apply until April 15th.
"Admitted participants will be provided with travel, lodging, and meals for the duration of the workshop."
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Junior Theoretical Neuroscientists Workshop, at the Flatiron Institute in New York, in July 21st to 24th, 2026.
https://www.simonsfoundation.org/event/jrworkshop2026/
Apply until April 15th.
"Admitted participants will be provided with travel, lodging, and meals for the duration of the workshop."
-
Junior Theoretical Neuroscientists Workshop, at the Flatiron Institute in New York, in July 21st to 24th, 2026.
https://www.simonsfoundation.org/event/jrworkshop2026/
Apply until April 15th.
"Admitted participants will be provided with travel, lodging, and meals for the duration of the workshop."
-
Junior Theoretical Neuroscientists Workshop, at the Flatiron Institute in New York, in July 21st to 24th, 2026.
https://www.simonsfoundation.org/event/jrworkshop2026/
Apply until April 15th.
"Admitted participants will be provided with travel, lodging, and meals for the duration of the workshop."
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"Sketch of a novel approach to a neural model", by Gabriele Scheler 2026.
https://arxiv.org/abs/2209.06865"traditional synapse-centric, weight-based models of memorization are not sufficient or adequate to capture the real complexity of neuroplasticity. [...] We propose a paradigm switch from a synapse-centric model (each synapse learns independently, based on associative coupling) to a neuron-centric model (each neuron uses its intracellular pathways to express plasticity at its synapses and dendritic membrane)."
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"Sketch of a novel approach to a neural model", by Gabriele Scheler 2026.
https://arxiv.org/abs/2209.06865"traditional synapse-centric, weight-based models of memorization are not sufficient or adequate to capture the real complexity of neuroplasticity. [...] We propose a paradigm switch from a synapse-centric model (each synapse learns independently, based on associative coupling) to a neuron-centric model (each neuron uses its intracellular pathways to express plasticity at its synapses and dendritic membrane)."
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"Sketch of a novel approach to a neural model", by Gabriele Scheler 2026.
https://arxiv.org/abs/2209.06865"traditional synapse-centric, weight-based models of memorization are not sufficient or adequate to capture the real complexity of neuroplasticity. [...] We propose a paradigm switch from a synapse-centric model (each synapse learns independently, based on associative coupling) to a neuron-centric model (each neuron uses its intracellular pathways to express plasticity at its synapses and dendritic membrane)."
1/2
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"Sketch of a novel approach to a neural model", by Gabriele Scheler 2026.
https://arxiv.org/abs/2209.06865"traditional synapse-centric, weight-based models of memorization are not sufficient or adequate to capture the real complexity of neuroplasticity. [...] We propose a paradigm switch from a synapse-centric model (each synapse learns independently, based on associative coupling) to a neuron-centric model (each neuron uses its intracellular pathways to express plasticity at its synapses and dendritic membrane)."
1/2
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"Sketch of a novel approach to a neural model", by Gabriele Scheler 2026.
https://arxiv.org/abs/2209.06865"traditional synapse-centric, weight-based models of memorization are not sufficient or adequate to capture the real complexity of neuroplasticity. [...] We propose a paradigm switch from a synapse-centric model (each synapse learns independently, based on associative coupling) to a neuron-centric model (each neuron uses its intracellular pathways to express plasticity at its synapses and dendritic membrane)."
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The lab of Mitya Chklovskii introduces the #ReSU: Rectified Spectral Units, as a replacement for ReLU.
"A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation", Qin et al. 2025
https://arxiv.org/abs/2512.23146 -
The lab of Mitya Chklovskii introduces the #ReSU: Rectified Spectral Units, as a replacement for ReLU.
"A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation", Qin et al. 2025
https://arxiv.org/abs/2512.23146 -
The lab of Mitya Chklovskii introduces the #ReSU: Rectified Spectral Units, as a replacement for ReLU.
"A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation", Qin et al. 2025
https://arxiv.org/abs/2512.23146 -
The lab of Mitya Chklovskii introduces the #ReSU: Rectified Spectral Units, as a replacement for ReLU.
"A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation", Qin et al. 2025
https://arxiv.org/abs/2512.23146 -
The lab of Mitya Chklovskii introduces the #ReSU: Rectified Spectral Units, as a replacement for ReLU.
"A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation", Qin et al. 2025
https://arxiv.org/abs/2512.23146 -
#Neuroscience as a field is relatively fragmented
..
We propose leveraging shared #neurodata repositories and #compneurosci modelling frameworks to benchmark methodologies, facilitating a more coherent integration of findings across #neuro subfields.Additionally, we advocate for the creation of a structured “map” of neuroscience, charting relationships between domains to enhance conceptual clarity.
https://doi.org/10.52294/001c.138841
#philosophyofneuroscience #theoreticalneuroscience #neuropsy #cogsci
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#Neuroscience as a field is relatively fragmented
..
We propose leveraging shared #neurodata repositories and #compneurosci modelling frameworks to benchmark methodologies, facilitating a more coherent integration of findings across #neuro subfields.Additionally, we advocate for the creation of a structured “map” of neuroscience, charting relationships between domains to enhance conceptual clarity.
https://doi.org/10.52294/001c.138841
#philosophyofneuroscience #theoreticalneuroscience #neuropsy #cogsci
-
#Neuroscience as a field is relatively fragmented
..
We propose leveraging shared #neurodata repositories and #compneurosci modelling frameworks to benchmark methodologies, facilitating a more coherent integration of findings across #neuro subfields.Additionally, we advocate for the creation of a structured “map” of neuroscience, charting relationships between domains to enhance conceptual clarity.
https://doi.org/10.52294/001c.138841
#philosophyofneuroscience #theoreticalneuroscience #neuropsy #cogsci
-
#Neuroscience as a field is relatively fragmented
..
We propose leveraging shared #neurodata repositories and #compneurosci modelling frameworks to benchmark methodologies, facilitating a more coherent integration of findings across #neuro subfields.Additionally, we advocate for the creation of a structured “map” of neuroscience, charting relationships between domains to enhance conceptual clarity.
https://doi.org/10.52294/001c.138841
#philosophyofneuroscience #theoreticalneuroscience #neuropsy #cogsci
-
#Neuroscience as a field is relatively fragmented
..
We propose leveraging shared #neurodata repositories and #compneurosci modelling frameworks to benchmark methodologies, facilitating a more coherent integration of findings across #neuro subfields.Additionally, we advocate for the creation of a structured “map” of neuroscience, charting relationships between domains to enhance conceptual clarity.
https://doi.org/10.52294/001c.138841
#philosophyofneuroscience #theoreticalneuroscience #neuropsy #cogsci
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The lab of Mitya Chklovskii is hiring, at the Flatiron Institute – Simons Foundation, in Manhattan, New York:
https://apply.interfolio.com/173400 -
The lab of Mitya Chklovskii is hiring, at the Flatiron Institute – Simons Foundation, in Manhattan, New York:
https://apply.interfolio.com/173400 -
The lab of Mitya Chklovskii is hiring, at the Flatiron Institute – Simons Foundation, in Manhattan, New York:
https://apply.interfolio.com/173400 -
The lab of Mitya Chklovskii is hiring, at the Flatiron Institute – Simons Foundation, in Manhattan, New York:
https://apply.interfolio.com/173400 -
The lab of Mitya Chklovskii is hiring, at the Flatiron Institute – Simons Foundation, in Manhattan, New York:
https://apply.interfolio.com/173400 -
The lab of Jakob Macke (Tuebingen, Germany) is recruiting a research engineer to work on brain models:
https://www.mackelab.org/media/Mackelab_ResearchEngineer.pdf -
The lab of Jakob Macke (Tuebingen, Germany) is recruiting a research engineer to work on brain models:
https://www.mackelab.org/media/Mackelab_ResearchEngineer.pdf -
The lab of Jakob Macke (Tuebingen, Germany) is recruiting a research engineer to work on brain models:
https://www.mackelab.org/media/Mackelab_ResearchEngineer.pdf -
The lab of Jakob Macke (Tuebingen, Germany) is recruiting a research engineer to work on brain models:
https://www.mackelab.org/media/Mackelab_ResearchEngineer.pdf -
The lab of Jakob Macke (Tuebingen, Germany) is recruiting a research engineer to work on brain models:
https://www.mackelab.org/media/Mackelab_ResearchEngineer.pdf -
"Algorithmic dissection of optic flow memory in larval zebrafish", Tanaka & Portgues 2025
https://www.sciencedirect.com/science/article/pii/S0960982225011133 -
"Algorithmic dissection of optic flow memory in larval zebrafish", Tanaka & Portgues 2025
https://www.sciencedirect.com/science/article/pii/S0960982225011133 -
"Algorithmic dissection of optic flow memory in larval zebrafish", Tanaka & Portgues 2025
https://www.sciencedirect.com/science/article/pii/S0960982225011133 -
"Algorithmic dissection of optic flow memory in larval zebrafish", Tanaka & Portgues 2025
https://www.sciencedirect.com/science/article/pii/S0960982225011133 -
"Algorithmic dissection of optic flow memory in larval zebrafish", Tanaka & Portgues 2025
https://www.sciencedirect.com/science/article/pii/S0960982225011133 -
How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.
New preprint from @yang_chu.
https://arxiv.org/abs/2001.10605
Thread below 👇
#neuroscience #computationalneuroscience #compneuro #compneurosci
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How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.
New preprint from @yang_chu.
https://arxiv.org/abs/2001.10605
Thread below 👇
#neuroscience #computationalneuroscience #compneuro #compneurosci
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How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.
New preprint from @yang_chu.
https://arxiv.org/abs/2001.10605
Thread below 👇
#neuroscience #computationalneuroscience #compneuro #compneurosci
-
How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.
New preprint from @yang_chu.
https://arxiv.org/abs/2001.10605
Thread below 👇
#neuroscience #computationalneuroscience #compneuro #compneurosci
-
How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning.
New preprint from @yang_chu.
https://arxiv.org/abs/2001.10605
Thread below 👇
#neuroscience #computationalneuroscience #compneuro #compneurosci
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Latest from Kathy Nagel's lab:
"Inhibitory control explains locomotor statistics in walking Drosophila", Gattuso et al. 2025
https://www.pnas.org/doi/abs/10.1073/pnas.2407626122"we measure and analyze trajectories evoked by attractive odor in walking Drosophila and develop a biologically plausible computational model of trajectory generation and modulation by sensory input. Our model provides a link between neural architectures and locomotor behavior and highlights the potential role of inhibition in shaping the curvature and speed of trajectories. Inspired by this model, we experimentally identify single neurons and populations that modulate either curvature or speed in the manner predicted by our model."
#neuroscience #Drosophila #locomotion #CompNeurosci #SystemsNeuroscience
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Latest from Kathy Nagel's lab:
"Inhibitory control explains locomotor statistics in walking Drosophila", Gattuso et al. 2025
https://www.pnas.org/doi/abs/10.1073/pnas.2407626122"we measure and analyze trajectories evoked by attractive odor in walking Drosophila and develop a biologically plausible computational model of trajectory generation and modulation by sensory input. Our model provides a link between neural architectures and locomotor behavior and highlights the potential role of inhibition in shaping the curvature and speed of trajectories. Inspired by this model, we experimentally identify single neurons and populations that modulate either curvature or speed in the manner predicted by our model."
#neuroscience #Drosophila #locomotion #CompNeurosci #SystemsNeuroscience
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Latest from Kathy Nagel's lab:
"Inhibitory control explains locomotor statistics in walking Drosophila", Gattuso et al. 2025
https://www.pnas.org/doi/abs/10.1073/pnas.2407626122"we measure and analyze trajectories evoked by attractive odor in walking Drosophila and develop a biologically plausible computational model of trajectory generation and modulation by sensory input. Our model provides a link between neural architectures and locomotor behavior and highlights the potential role of inhibition in shaping the curvature and speed of trajectories. Inspired by this model, we experimentally identify single neurons and populations that modulate either curvature or speed in the manner predicted by our model."
#neuroscience #Drosophila #locomotion #CompNeurosci #SystemsNeuroscience
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Latest from Kathy Nagel's lab:
"Inhibitory control explains locomotor statistics in walking Drosophila", Gattuso et al. 2025
https://www.pnas.org/doi/abs/10.1073/pnas.2407626122"we measure and analyze trajectories evoked by attractive odor in walking Drosophila and develop a biologically plausible computational model of trajectory generation and modulation by sensory input. Our model provides a link between neural architectures and locomotor behavior and highlights the potential role of inhibition in shaping the curvature and speed of trajectories. Inspired by this model, we experimentally identify single neurons and populations that modulate either curvature or speed in the manner predicted by our model."
#neuroscience #Drosophila #locomotion #CompNeurosci #SystemsNeuroscience
-
Latest from Kathy Nagel's lab:
"Inhibitory control explains locomotor statistics in walking Drosophila", Gattuso et al. 2025
https://www.pnas.org/doi/abs/10.1073/pnas.2407626122"we measure and analyze trajectories evoked by attractive odor in walking Drosophila and develop a biologically plausible computational model of trajectory generation and modulation by sensory input. Our model provides a link between neural architectures and locomotor behavior and highlights the potential role of inhibition in shaping the curvature and speed of trajectories. Inspired by this model, we experimentally identify single neurons and populations that modulate either curvature or speed in the manner predicted by our model."
#neuroscience #Drosophila #locomotion #CompNeurosci #SystemsNeuroscience