#Tag
Hello #Neuroscience mastodon,
we have a BBSRC funded #Phd position open!
A cool project utilise #Drosophila transcriptome and connectome to map out the novel #sleep controlling visual pathway!
see details here:
https://www.kofanchenlab.net/come-join-us
please boost and spread the words!
* same research theme is also eligible for CSC funding
On the Human Brain Project: "Europe spent €600 million to recreate the human brain in a computer. How did it go?" (2023)
https://www.nature.com/articles/d41586-023-02600-x
As a neuroscientist, I can't name a single discovery or technology derived from the #HBP. Perhaps I am being unfair because I don't work on the human brain. But I'd have expected far more bang for all that buck.Imagine, if the subject had been a fly or a fish – far more matched to the technological means of 10 years ago and actually useful to advance our understanding of circuit function in health and disease.
🧠 New paper by Safaai et al. (2025): parietal #cortex output populations show highly structured, task-dependent population geometry. Using multi-area recordings and circuit modeling, they show that #parietal populations display organized task-related patterns rather than uniform mixed coding, and that distinct output groups shape how decisions are routed to downstream targets:
🌍 https://doi.org/10.1038/s41593-025-02095-x
#Neuroscience #NeuralCoding #ParietalCortex #PopulationDynamics #DecisionMaking
Specialized structure of neural population codes in parietal cortex outputs
Researchers in Japan and at Seattle's @AllenInstitute have simulated the workings of a whole mouse cortex on a #supercomputer - potentially opening the door to virtual studies of neurological diseases and perhaps even the origins of consciousness. https://www.geekwire.com/2025/simulation-mouse-brain/ #brain #simulation #science #neuroscience #sc25
Heading to #SfN2025?
Join the workshop “Life After the PhD: Career Opportunities in Brain Data Science”
📅 16 Nov 2025 | 🕒 15:00–17:00 PST
📍 SDCC Room 2
Hear from experts from @DataJoint, @UCSanDiego, @INCForg & @KavliFoundation
Human-in-the-loop optimisation for efficient intracortical microstimulation temporal patterns in visual cortex https://www.abstractsonline.com/pp8/#!/21171/presentation/34129 visual prosthesis, #blind #phosphenes #Utah #array #BCI #NeuroTech #neuroscience #SfN2025
Human-in-the-loop optimisation for efficient intracortical microstimulation temporal patterns in visual cortex https://www.abstractsonline.com/pp8/#!/21171/presentation/34129 visual prosthesis, #blind #phosphenes #Utah #array #BCI #NeuroTech #neuroscience #SfN2025
🧠 New paper by Wimalasena, Pandarinath, AuYong et al: #spinal #interneuron populations form a low-dimensional #manifold that robustly organizes step cycles.
Distinct regions of the manifold mark flexion–extension transitions, and a specific “hold region” tightly controls cycle duration. Deletions emerge as failures to enter the flexor region, giving a dynamical signature of disrupted CPG function.
🌍 https://doi.org/10.1038/s41467-025-64629-y
#Neuroscience #Locomotion #SpinalCord #PopulationDynamics #CompNeuro
Spinal interneuron population dynamics underlying flexible pattern generation
How Your Brain Creates 'Aha' Moments and Why They Stick
https://www.quantamagazine.org/how-your-brain-creates-aha-moments-and-why-they-stick-20251105/
#HackerNews #AhaMoments #BrainScience #Creativity #Insights #Neuroscience
On the Human Brain Project: "Europe spent €600 million to recreate the human brain in a computer. How did it go?" (2023)
https://www.nature.com/articles/d41586-023-02600-x
As a neuroscientist, I can't name a single discovery or technology derived from the #HBP. Perhaps I am being unfair because I don't work on the human brain. But I'd have expected far more bang for all that buck.Imagine, if the subject had been a fly or a fish – far more matched to the technological means of 10 years ago and actually useful to advance our understanding of circuit function in health and disease.
🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.
They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
Psst - #neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kB of parameter memory by quantising weights and delays? Check out our preprint with Pengfei Sun and Danyal Akarca:
https://arxiv.org/abs/2510.27434
Or check out the TLDR thread on Bsky:
https://bsky.app/profile/did:plc:niqde7rkzo7ua3scet2rzyt7/post/3m5jpksani22m
#SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience
🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.
They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics
Getting ready for #SfN25. Our poster is available already before the meeting:
https://bjoern.brembs.net/2025/11/motor-learning-mechanisms-at-sfn25/
Due to political developments, I'm the only one from our lab who wants to go and if circumstances don't improve, it may well be our last attendance for the foreseeable future.
Psst - #neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kB of parameter memory by quantising weights and delays? Check out our preprint with Pengfei Sun and Danyal Akarca:
https://arxiv.org/abs/2510.27434
Or check out the TLDR thread on Bsky:
https://bsky.app/profile/did:plc:niqde7rkzo7ua3scet2rzyt7/post/3m5jpksani22m
#SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience
🧠 Investors’ ‘dumb transhumanist ideas’ setting back neurotech progress, say experts / The Guardian
｢ These technologies have considerable near-term potential to treat a variety of neurological issues – from ALS to Parkinson’s to paralysis. The problem is, their investors don’t always appear to have curing disease as an end goal ｣
Having some #Python skills is a prerequisite for all our Neuromatch Academy courses. We are proud to support this 3-week intensive weekend course on Python for #ComputationalNeuroscience! 🤓
Join Akinola Olayinka, Chinagorom Ibeachu, & Neuromatch's Peter Ohue for sessions exploring how Python can be applied to analyze neural data, model brain processes, & understand computational neuroscience principles.
💻 Register: https://docs.google.com/forms/d/e/1FAIpQLSd41P5V8gzLuUMlLYA9y8bp8yeUHsG6Tl7RVfsKe-qPjDUh-Q/viewform
#Neuroscience #Africa #WestAfrica #STEMEducation
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