NeuroAI Course
📆 13–24 July 2026
🌍 Online & accessible worldwide across 5 time zones
Already taken our #ComputationalNeuroscience and #DeepLearning courses (or have equivalent experience)? Then you’re ready for the next step: Neuromatch Academy’s #NeuroAI Course!
We’re thrilled to welcome the 2025–2026 Neuromatch Impact Scholars! 🤓 🎉
75 scholars across #ComputationalNeuroscience, #DeepLearning, #NeuroAI, & #ClimateScience driving research & global impact together.
➡️ Learn more: https://neuromatch.io/impact-scholars/
✨ Rediscovering an Old Friend: @SigmundBOT ✨
[ https://mastodon.social/@SigmundBOT ]
Long before today’s flood of AI chatter, I launched @SigmundBOT
as a playful experiment—a space where ideas about artificial intelligence, digital philosophy, and curious code could roam free.
Now I’m breathing new life into it.
I’m constantly exploring emerging technologies for fun—tinkering with AI models, decentralised networks, privacy tools, and the occasional off-beat gadget. If you love discovering the next breakthrough before it trends, let’s connect.
Follow @SigmundBOT for thoughtful snippets, experimental bots, and the occasional wild psychology related concept. Tech aficionados, this is your invitation to build rapport, swap insights, and push boundaries together. 🚀 'And' fellow counsellors, psychiatrists, or psychologists... Make sure you make @SigmundBOT your friend. 🙂
Come say hi, share what you’re building, or just watch the experiments unfold.
🧠 Core Psychology & Research
#Psychology #CognitiveScience #Neuroscience #BehavioralScience #CognitivePsychology #SocialPsychology #Neuropsychology #ExperimentalPsychology #ResearchPsychology #BrainResearch #MindAndBrain #ConsciousnessStudies #PsychologicalScience #CognitiveNeuroscience #Neurobiology #PsychResearch
🗣️ Mental Health & Human Behaviour
#MentalHealth #Wellbeing #PositivePsychology #HumanBehavior #Mindfulness #EmotionalIntelligence #Resilience #PersonalityScience #SelfAwareness #Therapy #MentalWellness #BehaviorChange #Psychotherapy #StressScience #MoodScience #AppliedPsychology
🧩 Philosophy of Mind & AI Links
#PhilosophyOfMind #AIandPsychology #HumanMachineInteraction #CognitiveSystems #MindTech #CyberPsychology #DigitalPsychology #TechAndMind #AIConsciousness #NeuroAI #ComputationalPsychology #HumanFactors #PsyTech #PsychTech #TechPsychology
Neuromatch Academy 2026 is coming!
✅ Hands-on projects
✅ Global community
✅ Affordable fees
Applications open Feb 2026.
Learn more: https://neuromatch.io/courses/
Sign up for updates: https://neuromatch.io/mailing-list/
#ComputationalNeuroscience #DeepLearning #ClimateScience #NeuroAI #Neuroscience #AI
Deep neural networks (DNNs) are a leading computational framework for understanding neural visual processing. A standard approach for evaluating their similarity to brain function uses DNN activations to predict human neural responses to the same images, yet which visual properties drive this alignment remains unclear. Here, we show that texture-like representations, operationalized as global summaries of local image statistics, largely underlie this alignment. We recorded electroencephalography (EEG) from 57 participants viewing three image types: natural scenes, texture-synthesized versions that preserve global summaries of local statistics while disrupting global form, and isolated objects without backgrounds. Representational-similarity analysis showed the strongest DNN-EEG alignment when both systems processed texture-synthesized images. When using features from one image condition to predict EEG responses to another, we showed that features from texture-synthesized images generalized to natural scenes. Crucially, we observed a dissociation between DNN-EEG alignment and decodable object category information: alignment increased for texture-synthesized images even when object information was reduced. Together, our findings identify global summaries of local image statistics as a common currency linking DNNs and human visual processing, clarifying that global form features are not required for high DNN-EEG alignment. Our findings highlight the shared importance of local image statistics in artificial and biological visual systems. ### Competing Interest Statement The authors have declared no competing interest.
📆 Mark your calendars! Neuromatch Academy 2026 courses are coming!
🧠 #ComputationalNeuroscience & #DeepLearning (6–24 July)
🌍 Computational Tools for #ClimateScience & #NeuroAI (13–24 July)
➡️ Applications open Feb 2026. Sign up for updates: https://neuromatch.io/mailing-list/
AI copilots are integrated into brain–computer interfaces, enabling a paralysed participant to achieve improved control of computer cursors and robotic arms. This shared autonomy approach offers a promising path to increase BCI performance and clinical viability.
🧠👀 Merits of Curiosity. Gruaz et al. (2025) compare 6 intrinsic motivation signals in simulated agents. Turns out: curiosity isn’t one thing. The best-performing agents combine #novelty and #InformationGain, revealing how environment and goal shape exploration. Cool #modeling paper with implications for #AI, #RL, and theories of human #curiosity.
🌍 https://direct.mit.edu/opmi/article/doi/10.1162/opmi.a.9/132758
Neuromatch
Lexmilian S. R. B. de Mello
The vOICe vision BCI 🧠🇪🇺
Dirk Gütlin
Fabrizio Musacchio
The vOICe vision BCI 🧠🇪🇺