#computationalneuroscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #computationalneuroscience, aggregated by home.social.
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Spiking neural network people - this year's SNUFA workshop is live!
Talks by:
⭐ Eugene Izhikevich
⭐ Giulia D'Angelo
⭐ Mihai Petrovici
⭐ Susanne SchreiberSubmit your abstracts by Sept 25th. Registration is open!
More info at: https://snufa.net/2026/
cc @fzenke
#SpikingNeuralNetworks #ComputationalNeuroscience #Neuroscience
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Our psychology department is hiring:
Tenure-Track Assistant Professor
Computational Approaches to Perception and/or Cognition
Job Opening ID 375565
Department of Psychology
University of MinnesotaThe Department of Psychology at the University of Minnesota-Twin Cities announces a search for an outstanding scholar to fill a tenure-track assistant professor position focused on computational approaches to perception and/or cognition. This full-time position in the Department’s Cognitive and Brain Sciences (CAB) Training Program will begin in Fall 2027.
Applications are invited from researchers who would extend or complement our historic strengths in combining experimental and computational approaches to perception and cognition. Examples of desired research topics include, but are not limited to, computational approaches in human and/or non-human animal models to study perceptual function and sensory loss, learning, motivation, emotion, and/or higher cognition. While we expect the primary appointment to be in our CAB area, there is potential for cross-affiliation with other departmental areas.
The appointment will be 100%-time over the nine-month academic year (late-August to late-May) and will be made at the rank of tenure-track assistant professor, depending on qualifications and experience and consistent with collegiate and University policy. Salary and start-up packages are competitive.
https://hr.myu.umn.edu/jobs/ext/375565
The Twin Cities are a fantastic place! Come join the amazing neuroscience community here at the University of Minnesota! -
When an animal moves, its visual system adjusts its neuronal activity to process the changing environmental input, but this adjustment operates on the same mathematical evolutionary principles across both mice and primates despite differing sensory outputs.
#Neurobiology #ComputationalNeuroscience #EvolutionaryBiology #sflorg
https://www.sflorg.com/2026/08/ns08312601.html -
Lots of science happens at talks, and if you're not there you don't get to see what's happening. I find that this excludes lots of people, and isn't fair. So, from now on I'll try to upload all my talk slides at least to my website (videos when available):
https://neural-reckoning.org/talks.html
So far, I've only uploaded 6 talks from 2025-2026, but these cover some topics I haven't written about in any published paper, including this one on "Intelligence as resource efficiency" that I gave at the Mathematical Neuroscience meeting in London (2025):
Or this one on "Theoretical and experimental challenges in understanding the brain" which was my introduction to a panel discussion at the SWC internal symposium:
https://neural-reckoning.org/talk_2026_swc_will_we_understand_the_brain.html
I realised while uploading these that all my talks tend to have a slightly philosophical start, discussing whether or not the question is meaningful to ask and if it can actually be answered with the methods we have available. I think this sort of reflection is nice and often missed in papers.
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Shoutout to Peter Ohue for representing Neuromatch at a CompNeuro Nigeria webinar!
He shared our free, open source learning materials, along with information on our virtual course that runs each July.
#ComputationalNeuroscience #CompNeuro #NeuroAI #DeepLearning #OpenScience #Africa
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🙋If you or your community are curious about #ComputationalNeuroscience, there is likely a Nueromatch Ambassador near you, or one who speaks your language, who would be glad to give a talk or answer questions.
➡️ Connect with an Ambassador: https://neuromatch.io/ambassadors/
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The brain uses flexible, multipurpose neural circuits—specifically in the prefrontal cortex—that can be repurposed to store different types of information, such as sensory inputs or action plans, rather than relying on separate, dedicated neurons for every distinct task.
#Neuroscience #CognitiveScience #ComputationalNeuroscience #sflorg
https://www.sflorg.com/2026/08/ns08172601.html -
🎉 Huge congratulations to our 2026 Computational Neuroscience alumni! Your curiosity, creativity, and dedication inspire us.
🤓 See the word cloud generated from project abstracts to see what they studied!
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Meet Selva Maran, a Neuromatch Ambassador based in Bangalore, India!
➡️ Connect with an Ambassador who has taken a course you are interested in, is in your country, or speaks your language: https://neuromatch.io/ambassadors/
#Neuromatch #NeuromatchAcademy #ComputationalNeuroscience #NeuroAI #OpenScience
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The ANDA-NI Retreat has begun, marking the third component of this year's Advanced Neural Data Analysis and Neuroinformatics programme. Nicholas A. Del Grosso and I are excited to kick off this closing project week together with a highly international crowd of dedicated participants.
Over the past weeks, participants worked through two online courses covering the mathematical foundations of neural data analysis (ANDA) and data management skills from neuroinformatics (NI). Now comes the part that matters just as much: applying that knowledge to real data, contributed by the participants themselves, and collaborating in small teams to tackle research questions.
Mastering the equations behind a technique is only half the job. The other half is developing an eye for data, learning to read what an analysis is actually telling you, spotting when something doesn't look right, and knowing how to embed and combine analysis methods into workflows that are reproducible and shareable with others. That's the skillset we're aiming to build this week.
Looking forward to an exciting and hands-on week ahead.
#Neuroscience #Neuroinformatics #DataAnalysis #OpenScience #ReproducibleResearch #ComputationalNeuroscience #ScienceEducation
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The 2025 Neuromatch Impact Scholars Program cohort has published their work, and we could not be prouder!
Explore the full gallery of 2025 projects: https://impact-scholars.github.io/impact-scholars-2025/
Learn more about program: https://neuromatch.io/impact-scholars-program/
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🌐 🤓 Vikramaditya Bisani discovered how much international collaboration shapes real research through #NeuromatchAcademy's #CompNeuro and #NeuroAI courses.
#ComputationalNeuroscience #ImpactScholar #FutureResearchers #DiversityInScience
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Meet Ruslan Kurmashev, a Neuromatch Ambassador. He is a medical doctor with an MSc in Computational Biology spreading the word about Neuromatch.
✨ Connect with Ruslan and other Neuromatch Ambassadors: https://neuromatch.io/ambassadors/
#NeuromatchAcademy #ComputationalNeuroscience #NeuroAI #OpenScience -
I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo:
https://github.com/neural-reckoning/cambridge-fens-chen-summer-school-2026
#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks
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Are you at #CNS2026?
🤓 If you are attending, spot our #ComputationalBehaviour Course Director Gunnar Blohm, and ask him about our new immersive course launching July 2027.
➡️ Learn more here: https://neuromatch.io/computational-behaviour/
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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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Researchers have mapped subtle but widespread differences in the brain’s white matter communication pathways among individuals with bipolar disorder. These structural variations correlate with illness severity, treatment exposure, and specific clinical features like episode frequency and age of onset.
#Neurobiology #Psychiatry #ComputationalNeuroscience #sflorg
https://www.sflorg.com/2026/07/ns07082601.html -
🧠🤖 AIM for the #Brain – How #AI and #Neuroscience Come Together
For more information: https://indico.uni-muenster.de/event/4011/
or: https://philosophies.de/index.php/2026/05/18/aim-for-the-brain/
#AIMfortheBrain #ArtificialIntelligence #Neuroscience #MachineLearning #ComputationalNeuroscience #DataScience #DeepLearning #NeuralNetworks #Consciousness #EEG #MEG #Neuroscience #CDSC #UniversityofMünster #BrainResearch #CognitiveScience #Interdisciplinarity #AI #Research #PredictiveProcessing #Neurotechnology #Science
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🧠🤖 AIM for the #Brain – How #AI and #Neuroscience Come Together
For more information: https://indico.uni-muenster.de/event/4011/
or: https://philosophies.de/index.php/2026/05/18/aim-for-the-brain/
#AIMfortheBrain #ArtificialIntelligence #Neuroscience #MachineLearning #ComputationalNeuroscience #DataScience #DeepLearning #NeuralNetworks #Consciousness #EEG #MEG #Neuroscience #CDSC #UniversityofMünster #BrainResearch #CognitiveScience #Interdisciplinarity #AI #Research #PredictiveProcessing #Neurotechnology #Science
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📚 📈#Words continue to evolve: Why #language, #memes, and #brains follow the #logic of #evolution 🧬🧠
📽 https://youtu.be/M2qiVz95ZYk
📎 https://philosophies.de/index.php/2023/12/25/naturalistic-view/
#DanielDennett #PhilosophyOfMind #CognitiveScience #Memetics #CulturalEvolution #TheoryOfEvolution #Consciousness #ArtificialIntelligence #AGI #Neuroscience #ComputationalNeuroscience #Zoomposium #SelfAndIdentity #MindAndBrain #Naturalism #Functionalism #Embodiment #InformationTheory #ScienceCommunication
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📚 📈#Worte entwickeln sich weiter: Warum #Sprache, #Meme und #Gehirne der #Logik der #Evolution folgen 🧬🧠
📽 https://youtu.be/M2qiVz95ZYk
📎 https://philosophies.de/index.php/2023/12/25/naturalistic-view/
#DanielDennett #PhilosophieDesGeistes #Kognitionswissenschaft #Memetik #KulturelleEvolution #Evolutionstheorie #Bewusstsein #KünstlicheIntelligenz #AGI #Neurowissenschaft #ComputationalNeuroscience #Zoomposium #SelbstUndIdentität #GeistUndGehirn #Naturalismus #Funktionalismus #Embodiment #Informationstheorie #Wissenschaftskommunikation
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Computational neuroscience is the rigorous, interdisciplinary study of brain function in terms of the information processing properties of the nervous system.
#ComputationalNeuroscience #sflorg
https://www.sflorg.com/2026/05/cat05222601.html -
Neurons in the primary visual cortex follow highly specific organizational and functional rules to integrate sensory data, determining which of their thousands of synaptic inputs will be used to process visual information.
#Neuroscience #Neurobiology #ComputationalNeuroscience #sflorg
https://www.sflorg.com/2026/05/ns05212602.html -
Despite their role in highly complex brain networks, individual neurons primarily operate as simple on-off switches governed by basic, one-input-to-one-output interactions.
#Biophysics #ComputationalNeuroscience #Neurobiology #sflorg
https://www.sflorg.com/2026/05/biph05182601.html -
Welcome to the latest edition of the "What Is" series, presented by the Scientific Frontline publication. In this research report, we delve into one of the most ambitious, technologically demanding, and philosophically profound frontiers in modern biological science: Connectomics.
#WhatIs #Neuroscience #SystemsBiology #ComputationalNeuroscience #ArtificialIntelligence #Bioinformatics #sflorg
https://www.sflorg.com/2026/04/wi04262601.html -
RE: https://mathstodon.xyz/@gconstantinides/116448779816230899
We're hiring for a project on #SpikingNeuralNetworks and #neuromorphic computing, to start in October this year, for 36 months. Can hire at pre- or post-PhD level. Feel free to email me informally, or apply at the link below. Please do share with your networks if you know someone who would be interested.
#ComputationalNeuroscience -
@darioringach This preprint is an excellent read on the #adaptation of the #firing rate of primary #visual #cortex neurons - showing a #powerlaw scaling between the ratio of #probabilities and the ratio of observed firing rates, and also relative invariance of directional scatter (though I am puzzled by the use of cosine similarity instead of more standard distances between distributions...).
An interesting result is that the log firing rate is linearly proportional to the negative surprise of a stimulus, which will certainly bring a smile to proponents of #probabilistic representations in the brain or #predictive processing...
The study extends these observations to more ecological distributions, but - as far as I understand it - still samples individual orientations. One can predict that this would extend to showing textures with different levels of anisotropy (as defined by the tuple $(n_x, n_y)$ in the Ringach, 2002 paper, for example), creating a stimulus set ${ s_i }$ that better covers the space of visual features.