Our first of four Academy Info sessions is happening soon! 🎉 🤓
Join us by registering here: https://neuromatch.io/neuromatch-and-climatematch-academy-info-session/
Fabrizio Musacchio
boosted
➗ Mathematics reveals brain changes
Study from MPI MiS introduces a novel mathematical approach that enables identification of specific brain regions whose connectivity shifts with age or differs in autism spectrum disorder.
Read the whole story 👉 https://bit.ly/4btK84c
➗ Mathematics reveals brain changes
Study from MPI MiS introduces a novel mathematical approach that enables identification of specific brain regions whose connectivity shifts with age or differs in autism spectrum disorder.
Read the whole story 👉 https://bit.ly/4btK84c
Fabrizio Musacchio
boosted
If you'd like to study Computational Neuroscience in Berlin, don't miss this info event on Wednesday! 👉 https://www.bccn-berlin.de/events-list/information-day-2026-international-graduate-programs-computational-neuroscience.html #CompNeuro #BernsteinNetwork
🧠 New preprint by Zhong et al. proposes a #synaptic mechanism for #chunking in #WorkingMemory.
Using short-term #plasticity and synaptic augmentation, their model shows how items can be temporarily suppressed and later retrieved as chunks, increasing effective capacity w/o increasing simultaneous activity.
Synaptic Theory of Chunking in Working Memory
If you'd like to study Computational Neuroscience in Berlin, don't miss this info event on Wednesday! 👉 https://www.bccn-berlin.de/events-list/information-day-2026-international-graduate-programs-computational-neuroscience.html #CompNeuro #BernsteinNetwork
What happens when elegant neural coding theory meets biological reality?
For our Inside Discovery series, Veronika Koren explains why adding messiness — noise, metabolism, inhibition — still leads to efficient brains.
https://elifesciences.org/inside-elife/75921c16/inside-discovery-where-theory-meets-biology?utm_source=mastodon&utm_medium=social&utm_campaign=organic
RE: https://fediscience.org/@eLife/115871742804185192
Cool example of #theory meeting #biology: shows that efficient coding principles survive when models include realistic circuitry, noise, and metabolic constraints. A reminder that good theory does not require oversimplification.
What happens when elegant neural coding theory meets biological reality?
For our Inside Discovery series, Veronika Koren explains why adding messiness — noise, metabolism, inhibition — still leads to efficient brains.
https://elifesciences.org/inside-elife/75921c16/inside-discovery-where-theory-meets-biology?utm_source=mastodon&utm_medium=social&utm_campaign=organic
RE: https://fediscience.org/@eLife/115871742804185192
Cool example of #theory meeting #biology: shows that efficient coding principles survive when models include realistic circuitry, noise, and metabolic constraints. A reminder that good theory does not require oversimplification.
🧠 New preprint by Shervani-Tabar, Brincat & @ekmiller on emergent #TravelingWaves in #RNN.
By aligning RNN dynamics to an empirically measured #NeuralManifold, they show that task-relevant TW can emerge through #learning, w/o hard-coding wave dynamics or connectivity. The cool thing here is that the waves are not imposed or engineered, but emerge naturally from learning under #BiologicallyPlausible constraints:
Fabrizio Musacchio
and 4 others
boosted
Read my new piece in the @thetransmitter on @rougier's 1000 neuron challenge
https://www.thetransmitter.org/computational-neuroscience/the-1000-neuron-challenge/
models, brains, and the value of scientific competitions as sites of integration!
Björn Brembs
boosted
Also the #iBehave seminar series continues. First speaker will be Prof. Dr. Veronica Egger (University of Regensburg), talking about "Rhythms in the #OlfactoryBulb: From #NeuronalNetwork #oscillations to heartbeat interoception"
📅 Jan 12, 2026, 10:30 am
👤 Host: Gaia Tavosanis
💻 Zoom link via iBehave@uni-bonn.de
🧠 New paper by Ishida et al who show how #neurons in the #Drosophila central complex implement vector inversion via #calcium spikes.
A single #NeuronalPopulation can flip the sign of its encoded vector by switching biophysical #spiking modes, enabling coordinate transformations through #PopulationDynamics rather than circuit switching.
Cool as it shows that computation is not imposed by the circuit, but emerges from the neuron’s own dynamics.
Also the #iBehave seminar series continues. First speaker will be Prof. Dr. Veronica Egger (University of Regensburg), talking about "Rhythms in the #OlfactoryBulb: From #NeuronalNetwork #oscillations to heartbeat interoception"
📅 Jan 12, 2026, 10:30 am
👤 Host: Gaia Tavosanis
💻 Zoom link via iBehave@uni-bonn.de
Read my new piece in the @thetransmitter on @rougier's 1000 neuron challenge
https://www.thetransmitter.org/computational-neuroscience/the-1000-neuron-challenge/
models, brains, and the value of scientific competitions as sites of integration!
There's a great talk by Juan Gallego on how low-dimensional #NeuralManifolds arise from biological constraints, remain invariant across states and inputs, and support cross-animal alignment. Examples span #HeadDirection rings, #gridcell tori, #MotorCortex prep vs movement, striatal timing dynamics, and C. elegans #behavior loops. Cool talk as it shows how #manifold-level structure can generalize across tasks and organisms.
5 media
🧠 New preprint by Tilbury et al: Characterizing #NeuronalPopulation geometry with #AI equation discovery
The approach generates & evaluates 100s of candidate equations, finding "peaky" non-Gaussian tuning functions whose Fourier structure matches power-law dimensionality observed in real #V1 pops. Links shape of single- #neuron tuning to #PopulationLevel geometry using both data fits & analytical derivations.
2 media
