#compneuro — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #compneuro, aggregated by home.social.
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Meet Apollo Yang, a #Neuromatch Ambassador!
Whether you are part of the 2026 #NeuromatchAcademy cohort or just curious about taking a course in the future, reach out and connect with a Neuromatch Ambassador!
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Meet Apollo Yang, a #Neuromatch Ambassador!
Whether you are part of the 2026 #NeuromatchAcademy cohort or just curious about taking a course in the future, reach out and connect with a Neuromatch Ambassador!
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RE: https://mathstodon.xyz/@albertcardona/116894788740304154
Awesome! Natalia Cónsul has shared her notes from Claudia Clopath’s #CompNeuro lecture👇
Thanks @albertcardona for sharing this 🙏
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RE: https://mathstodon.xyz/@albertcardona/116894788740304154
Awesome! Natalia Cónsul has shared her notes from Claudia Clopath’s #CompNeuro lecture👇
Thanks @albertcardona for sharing this 🙏
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Meet Gideon Alex, a Neuromatch Ambassador from Nigeria!
Gideon is a #CompNeuro alumni who now serves as Academy Support Staff for the 2026 cohort.
➡️ Connect with someone who has taken a course you are interested in, is in your country, or speaks your language: https://neuromatch.io/ambassadors/
#Neuromatch #NeuromatchAcademy #ComputationalNeuroscienceI #CompNeuro #OpenScience #Nigeria #AfricanNeuroscience
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Meet Gideon Alex, a Neuromatch Ambassador from Nigeria!
Gideon is a #CompNeuro alumni who now serves as Academy Support Staff for the 2026 cohort.
➡️ Connect with someone who has taken a course you are interested in, is in your country, or speaks your language: https://neuromatch.io/ambassadors/
#Neuromatch #NeuromatchAcademy #ComputationalNeuroscienceI #CompNeuro #OpenScience #Nigeria #AfricanNeuroscience
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What should Neuromatch teach next?
🤓 Connectomics and Neural Dynamics
🤓 Computational Behavioural Analysis & Modelling
🤓 Computational Approaches to Neurodegeneration
🤓 Or something else?Take the 2 minute survey here: https://airtable.com/appgbLQW3nbbZJvNU/pagoMEApDsqTouMRh/form
#NeurmatchAcademy #Neuroscience #CompNeuro #OpenScience #DeepLearning #NeuroAI
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What should Neuromatch teach next?
🤓 Connectomics and Neural Dynamics
🤓 Computational Behavioural Analysis & Modelling
🤓 Computational Approaches to Neurodegeneration
🤓 Or something else?Take the 2 minute survey here: https://airtable.com/appgbLQW3nbbZJvNU/pagoMEApDsqTouMRh/form
#NeurmatchAcademy #Neuroscience #CompNeuro #OpenScience #DeepLearning #NeuroAI
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@virati
#neuraldynamics #compneuroscience
#neuroscience #compneuro #brain #neuralnetwork
#neurodon @hnp_genevaA new article with Alejandro Carballosa on the dimension of neural data
A detailed investigation of Shared Variance Component Analysis as a tool to characterize neural dimensionality
Journal of Neuroscience Methods
#Principal Component Analysis
#Shared Variance Component Analysis
# Neural data
#Spontaneous activity -
@virati
#neuraldynamics #compneuroscience
#neuroscience #compneuro #brain #neuralnetwork
#neurodon @hnp_genevaA new article with Alejandro Carballosa on the dimension of neural data
A detailed investigation of Shared Variance Component Analysis as a tool to characterize neural dimensionality
Journal of Neuroscience Methods
#Principal Component Analysis
#Shared Variance Component Analysis
# Neural data
#Spontaneous activity -
🧠 How does the #hippocampus keep a spatial map stable while adding aversive context?
Miguel-López et al. show that in mice running on a linear belt, #CA3 #axonal population activity preserved a common spatial #manifold across baseline, air puff and probe sessions. The aversive cue did not erase the map, but deformed it, embedding affective information into the same #representational geometry:
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🧠 How does the #hippocampus keep a spatial map stable while adding aversive context?
Miguel-López et al. show that in mice running on a linear belt, #CA3 #axonal population activity preserved a common spatial #manifold across baseline, air puff and probe sessions. The aversive cue did not erase the map, but deformed it, embedding affective information into the same #representational geometry:
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🧠 What can a single neuron compute?
A new #bioRxiv #preprint introduces #TwinProp, using a differentiable digital twin to optimize synaptic strengths and locations in a detailed layer 5 #pyramidal #CellModel. One #neuron classified images and speech and even solved 10-bit parity with 91% accuracy. The key: distributed #dendritic nonlinearities, especially #NMDA-dependent integration:
📄 https://doi.org/10.64898/2026.06.08.730984
#CompNeuro #Neuroscience #Dendrites #NeuroAI @albertcardona https://mathstodon.xyz/@albertcardona/116764629463190653
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🧠 What can a single neuron compute?
A new #bioRxiv #preprint introduces #TwinProp, using a differentiable digital twin to optimize synaptic strengths and locations in a detailed layer 5 #pyramidal #CellModel. One #neuron classified images and speech and even solved 10-bit parity with 91% accuracy. The key: distributed #dendritic nonlinearities, especially #NMDA-dependent integration:
📄 https://doi.org/10.64898/2026.06.08.730984
#CompNeuro #Neuroscience #Dendrites #NeuroAI @albertcardona https://mathstodon.xyz/@albertcardona/116764629463190653
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@thetransmitter So, even in #electrophysiology, where it is often assumed that the data are comparatively “hard”, substantial disagreement can occur, since these data too are affected by definitions, thresholds, preprocessing choices and model assumptions.
For #CompNeuro, which often takes such data as empirical basis for #modeling, this is worth keeping in mind in my view: The target data may already depend on nontrivial interpretive choices / #bias.
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@thetransmitter So, even in #electrophysiology, where it is often assumed that the data are comparatively “hard”, substantial disagreement can occur, since these data too are affected by definitions, thresholds, preprocessing choices and model assumptions.
For #CompNeuro, which often takes such data as empirical basis for #modeling, this is worth keeping in mind in my view: The target data may already depend on nontrivial interpretive choices / #bias.
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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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🧠🔦 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.
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🧠⭕️ New preprint by Hulse et al: How can the #fly’s neural compass show #RingAttractor dynamics despite heterogeneous #connectomic wiring? They combine task-trained #RNNs, theory and fly #connectomes to show that “dynamical clones” can embed hidden symmetries in apparently messy connectivity, preserving stable head-direction #attractors and angular velocity integration.
🌍 https://doi.org/10.64898/2026.05.18.725766
#Neuroscience #CompNeuro #NeuralDynamics #NeuralManifolds #RingAttractor
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🧠⭕️ New preprint by Hulse et al: How can the #fly’s neural compass show #RingAttractor dynamics despite heterogeneous #connectomic wiring? They combine task-trained #RNNs, theory and fly #connectomes to show that “dynamical clones” can embed hidden symmetries in apparently messy connectivity, preserving stable head-direction #attractors and angular velocity integration.
🌍 https://doi.org/10.64898/2026.05.18.725766
#Neuroscience #CompNeuro #NeuralDynamics #NeuralManifolds #RingAttractor
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Last chance to volunteer as a Neuromatch or Climatematch Professional Development Mentor!
Just 3 volunteer hours across three 1-hour sessions this July.
Learn more and apply before 29 May: https://neuromatch.io/mentorship/
#Mentorship #CompNeuro #DeepLearning #ClimateScience #NeuroAI #AcademicCommunity
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Last chance to volunteer as a Neuromatch or Climatematch Professional Development Mentor!
Just 3 volunteer hours across three 1-hour sessions this July.
Learn more and apply before 29 May: https://neuromatch.io/mentorship/
#Mentorship #CompNeuro #DeepLearning #ClimateScience #NeuroAI #AcademicCommunity
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Short-term #synaptic #plasticity (#STP) transiently modulates synaptic strength based on recent activity. #ShortTermDepression #STD reduces efficacy during repeated activity, while #ShortTermFacilitation #STF can enhance responses to closely spaced #spikes. These dynamics shape #NeuralProcessing, #filtering, and synaptic #homeostasis. Here's a short #Python implementation and simulation in #NESTSimulator:
🌍 https://www.fabriziomusacchio.com/blog/2026-05-25-std_and_stf/
#CompNeuro #Neuroscience #NeuralDynamics #TsodyksMarkramModel
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Short-term #synaptic #plasticity (#STP) transiently modulates synaptic strength based on recent activity. #ShortTermDepression #STD reduces efficacy during repeated activity, while #ShortTermFacilitation #STF can enhance responses to closely spaced #spikes. These dynamics shape #NeuralProcessing, #filtering, and synaptic #homeostasis. Here's a short #Python implementation and simulation in #NESTSimulator:
🌍 https://www.fabriziomusacchio.com/blog/2026-05-25-std_and_stf/
#CompNeuro #Neuroscience #NeuralDynamics #TsodyksMarkramModel
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@computingnature The idea is provocative: Spontaneous activity may reflect a useful "critical initialization" for biological networks, providing a dynamical scaffold for #memory and time-dependent #computation.
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@computingnature The idea is provocative: Spontaneous activity may reflect a useful "critical initialization" for biological networks, providing a dynamical scaffold for #memory and time-dependent #computation.
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🧠 New paper by Pachitariu … @computingnature: spontaneous brainwide activity in mice shows macroscopic coordination that resembles linear dynamics driven by a critically normalized random symmetric matrix.
#Cortical and brainwide recordings showed power-law variance spectra, slow global activity modes, and little rotational structure, unlike #CA1, which looked closer to an efficient, less correlated code.
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🧠 New paper by Pachitariu … @computingnature: spontaneous brainwide activity in mice shows macroscopic coordination that resembles linear dynamics driven by a critically normalized random symmetric matrix.
#Cortical and brainwide recordings showed power-law variance spectra, slow global activity modes, and little rotational structure, unlike #CA1, which looked closer to an efficient, less correlated code.