👁️ How does the brain detect relevance? And how does AI learn from it?
Researchers at @bifold.berlin @tuberlin, including Bernstein member Klaus-Robert Müller, have developed a brain-inspired AI model of visual attention.
Read the whole story 👉️ https://bernstein-network.de/en/newsroom/news/260520/
@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.
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
🧠🔦 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.
💼 Have you taken a look at our #CompNeuro job pool lately?
There are many exciting positions with upcoming deadlines!
💭 How, when, and where do we remember events we have truly experienced?
Philosophers and computational neuroscientists in Bochum are working together to answer this question.
Learn more in this story from @ruhr-uni-bochum.de featuring Bernstein member Sen Cheng 👉️ https://bernstein-network.de/en/newsroom/news/260504/
🧠⭕️ 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
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
⏰ Last-minute reminder!
Only 48 hours left to submit your Contributed Talk abstracts for the #BernsteinConference 2026!
🗓️ Deadline: May 27, 15:00 CEST
All information and submission form 👉 https://bernstein-network.de/bernstein-conference/abstract-submission/
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
Bernstein Network
Fabrizio Musacchio
Neuromatch