#computationalneuroscience — Public Fediverse posts

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.

https://andani.info

#Neuroscience #Neuroinformatics #DataAnalysis #OpenScience #ReproducibleResearch #ComputationalNeuroscience #ScienceEducation

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

Spike-timing-dependent #plasticity (#STDP) is a core rule in #ComputationalNeuroscience that adjusts #synaptic strength based on precise pre- vs. postsynaptic #spike timing, enabling #TemporalCoding and #learning in #SNN. In this post, I summarize its mathematical formulation, functional consequences for learning and #memory along with a simple #Python example:

🌍 https://www.fabriziomusacchio.com/blog/2026-02-12-stdp/

#CompNeuro #Neuroscience #SNN #NeuralDynamics #NeuralPlasticity

#NeuralPlasticity & #learning are distinct but interrelated processes. #Plasticity denotes biological change in #NeuralSystems, while learning is its functional expression in #NetworkDynamics & #behavior. Learning arises from coordinated plastic processes, reshaping #NeuralStateSpace & #attractors to support stable yet flexible representations. Here's a new post on these concepts & their implications for #ComputationalNeuroscience:

🌍https://www.fabriziomusacchio.com/blog/2026-02-02-neural_plasticity_and_learning/

#CompNeuro #Neuroscience

New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks.

Preprint:

https://www.biorxiv.org/content/10.1101/2025.07.25.666748v1

Short explainer thread on Bluesky:

https://bsky.app/profile/neural-reckoning.org/post/3lz4rihm2622e

#neuroscience #ComputationalNeuroscience #SpikingNeuralNetwork

🧠 Excited to share our latest research presented at #CNS2025 in beautiful Firenze, Italy!

"Population decoding of visual motion direction in V1 marmoset monkey: effects of uncertainty"

Our work explores how populations of neurons in the primary visual cortex (V1) of marmoset monkeys encode visual motion direction, with a particular focus on understanding how uncertainty influences this neural decoding process.
Key highlights:

• Advanced population-level analysis of V1 neural responses to motion stimuli
• Novel insights into how the brain handles uncertainty in visual motion processing
• Marmoset model providing crucial translational insights for visual neuroscience

This research contributes to our fundamental understanding of how the visual system processes motion information at the earliest stages of cortical processing, with important implications for both basic neuroscience and potential clinical applications.
Thank you to the CNS organizing committee for hosting such an inspiring conference in the stunning venue of Palazzo dei Congressi in Villa Vittoria! 🇮🇹

#ComputationalNeuroscience #VisualNeuroscience #MotionProcessing #CNS2025 #Neuroscience #Research #MarmosetModel #V1 #PopulationDecoding

Link to publication: https://laurentperrinet.github.io/publication/laine-25-cns/

Want to learn more about uncertainty in the visual cortex? Check out our recent work published in Nature Communications Biology: https://laurentperrinet.github.io/publication//ladret-23

It’s actually very easy and straightforward setting up a large-scale, multi-population #SpikingNeuralNetwork (#SNN) with the #NESTsimulator. Here is an example with two distinct populations of #Izhikevich neurons:

🌍 https://www.fabriziomusacchio.com/blog/2024-06-30-nest_izhikevich_snn/

#ComputationalNeuroscience #CompNeuro #Neuroscience

Mmm...
Once I was surfing the net for some papers in CNS and I came across a paper about Natural Language Processing all of a sudden and I realized There aren't any real Spiking Neural Networks that are bio plausible for NLP.

I started reading some papers and some books to gain more knowledge about Language comprehension and language generation but no real model suggestions yet.

Do anyone know any labs working on NLP in Computational neuroscience or how to connect with them?

#computationalneuroscience #cns #SpikingNeuralNetwork #NLP

A Thousand Brains : a new theory of intelligence

Hi :)
I'm a new member of this amazing community and I would like to have my first post on the amazing breakthrough of Jeff Hawkins.

Before giving my opinion, I would like everyone to tell me whether they know the theory of have they read the book or the original papers and If so what's their insight on them?

I think the material in this research is pretty much fascinating and would like to engage and talk about it more.

#cns #SpikingNeuralNetwork #theory_of_brain #jeff_hawkins
#neuroscience #computationalneuroscience