Pleased to share my latest research "Zero-shot counting with a dual-stream neural network model" about a glimpsing neural network model the learns visual structure (here, number) in a way that generalises to new visual contents. The model replicates several neural and behavioural hallmarks of numerical cognition.
An important step in #ComputationalNeuroscience 🧠💻 was the development of the #HodgkinHuxley model, for which Hodgkin and Huxley received the #NobelPrize in 1963. The model describes the dynamics of the #MembranePotential of a #neuron 🔬 by incorporating biophysiological properties. See here how it is derived, along with a simple implementation in #Python:
The Neuroscience department at SISSA is hiring! We are looking for candidates for multiple assistant professor (tenure track) openings across a broad spectrum of topics in neuroscience (molecular, cellular, circuit, systems, cognitive and computational). SISSA is an international school in Trieste, Italy, promoting basic and applied research in Neuroscience, Mathematics and Physics and dedicated to the training of PhD students.
Applications for students and TAs are open for all Neuromatch Academy courses - Computational Neuroscience, Deep Learning, & NeuroAI! You don't want to miss this!
➡️ Student apps close March 24
➡️ TA apps close March 17
We are looking for talented Teaching Assistants for the 2024 edition of our Computational Neuroscience course. TAs are paid, full-time, temporary, contracted roles.
If you are a senior PhD student, postdoc, researcher or professional with expertise in Computational Neuroscience, we could be a match!
We provide a certificate upon successful completion of the course and TAs may request a letter of support.
TA Applications Close Sunday, March 17 midnight in the last time zone on Earth.
Are you a student interested in learning Computational Neuroscience in a hands-on way? Don’t miss your chance to explore the intersection of neuroscience and machine learning!
Our computational neuroscience course is the perfect way to gain practical experience and build a strong foundation in this field. Join us and become part of a growing community of scientists and researchers exploring the frontiers of computational neuroscience.
Student Applications Close Sunday, March 24 midnight in the last time zone on Earth.
We made a free, open course on #Neuroscience for people with a #MachineLearning / quantitative background. Get deep in #ComputationalNeuroscience or just indulge your neurocuriousity. I believe that neuro and ML can learn from each other and do better together than on their own.
The course has 34 short videos from introductory topics right up to recent discoveries we still don't fully understand. We also have practical exercises focussed on open ended discovery, fully compatible with Google Colab.
My thanks to brilliant co-developer @marcusghosh, and contributors @GabrielBena, Swathi Anil and Greta Horvathova.
Over the next year, I'll be turning this into an 'interactive textbook' with videos, text and runnable code in one place, and welcoming contributions on new topics, corrections, etc. through GitHub issues. All our materials are freely licensed for reuse in your own courses too.
Why this new course? There's a lot of intro neuroscience courses out there, and a lot of ML for neuroscientists, but I wanted this one to be specifically for quantitative people who are curious about the brain, how it might be similar and different to ML.
Research in mechanistic interpretability and neuroscience often relies on interpreting internal representations to understand systems, or manipulating representations to improve models. I gave a talk at the UniReps workshop at NeurIPS on a few challenges for this area, summary thread: 1/12 #ai#ml#neuroscience#computationalneuroscience#interpretability#NeuralRepresentations#neurips2023
Based on requests and the fact the applications accidentally closed early (oops!), we have extended the deadline until Dec. 19 at midnight on the last timezone on earth!
We are finally on Mastodon, time for a little #introduction 👋 !
Brian is a #FOSS simulator for biological #SpikingNeuralNetworks, for research in #ComputationalNeuroscience and beyond. It makes it easy to go from a high-level model description in Python, based on mathematical equations and physical units, to a simulation running efficiently on the CPU or GPU.
We have a friendly community and extensive documentation, links to everything on our homepage: https://briansimulator.org
This account will mostly announce news (releases, other notable events), but we're also looking forward to discussing with y'all 💬
Hi all,
This account is belong to Neural dynamics lab based on Geneva university.
We aim at identifying and modeling the spatiotemporal dynamics of neural activity at the local field potential and single-unit levels which support speech and language representations on the cognitive side, and epileptic seizures on the pathological side.
We use a variety of methods, from short- and long-term intracranial recordings from patients with epilepsy, statistical and mechanistic modeling of neural activity, and natural language processing tools such at GPT. Check out our website for more informations https://ndlab.ch
Give this massage a boost by a repost. And follow us if you're interested in our work.
Are you interested in cortico-basal ganglia networks and would like to model them, but only have a basic proficiency in Python or computational modeling in general?
Well then, I’m happy to announce the release of CBGTPy, a software package for running biologically-realistic simulations of the cortico-basal ganglia-thalamic (CBGT) networks in a dynamic range of tasks. The latest tool out of our Exploratory Intelligence group at CMU, University of Pittsburgh, and University of the Balearic Islands (Spain).
My first post in Mastodon!
I'm Nosrat, I'm doing my PhD in computational neuroscience in university of Geneva.
I’m working on understanding underlying dynamics via direct measurement of neural spiking under the supervision of Timothée Proix.
A repost would be amazing as I’m finding my network here in Mastodon. #neuroscience#computationalneuroscience
A couple of weeks have passed since the end of the #ComputationalNeuroscience and #DeepLearning courses. We hope students and TAs had the chance to rest after this intense learning experience and reflect on what they have accomplished. Thank you all who contributed to making NMA 2023 such a huge success!
What are the foundational principles of #neuroscience? By which I mean: beliefs or assumptions that animate our study of the brain across topics. Things like a belief in a structure-function relationship or the neuron as the base unit.
It's the first day of school 🎒 for #NMA2023! After yesterday's ✨opening ceremonies ✨, today more than 2000 students have started their exciting journey. If you are not inspired enough, see the video to glimpse what awaits you!
Do you know any advanced Ph.D. students or postdocs who are #ComputationalNeuroscience or #DeepLearning experts? Please tell them to apply as Teaching Assistants (TAs)!
We are looking for senior TAs for project and lead TAs roles!
After finally finding a place that feels more like home on mastodon, here goes the #introduction:
I am a PhD candidate in #computationalneuroscience at the University of Tübingen and Max Planck Institute for Biological Cybernetics, Germany.
I am interested in understanding the relationship between brain computations and dynamics. That's why I study population neural dynamics and their correlation structure underlying different behaviors (e.g., during selective attention tasks).