NeuroTMA Lab

eLife Learning cortical representations through perturbed and adversarial dreaming elifesciences.org/articles/76384

An Exciting New Dataset! 🤯

I feel not enough people know about the abstract arts dataset Delaunay. I'm using it for my comparison of pre-training vs MAML in my upcoming work and wanted to share it: arxiv.org/abs/2201.12123 leave a comment if you have thoughts!

Check our new perspective article led by @Mario_Senden about building large-scale brain models published in @NSR_Family 👇 academic.oup.com/nsr/advance-ar… @HumanBrainProj @HBPNeurorobotic

Is neuromorphic computing disruptive enough to advance our understanding of the brain & make the design & working of (bio)electronic devices efficient & scalable? ask Samit Chakrabarty @sc_laboratories & Mihai A. Petrovici @NeuroTMA for #RDBioelectronics bit.ly/3p5dGzs

🟣Is neuromorphic computing disruptive enough to advance our understanding of the brain & make the design & working of (bio)electronic devices efficient & scalable? ask Samit Chakrabarty @sc_laboratories & @NeuroTMA for #RDBioelectronics bit.ly/3p5dGzs #bioelectronics

Gradient-based methods for spiking physical systems. arxiv.org/abs/2309.10823

Emulating insect brains for neuromorphic navigation. arxiv.org/abs/2401.00473

Backpropagation through space, time, and the brain. arxiv.org/abs/2403.16933

what are the ethical problems specific to neuroAI? arxiv.org/pdf/2305.10938…

Curious about brain-inspired #AI, #neuroscience and #neuroethics? Take a look at this week's #HBPSummerSchool blog post featuring @MicheleFarisco's presentation on #aiethics! ethicsdialogues.eu/2023/08/22/bra…

On the same topic also available a preprint: arxiv.org/abs/2305.10938 #AI #AIethics #brain

Curious to learn more about brain-inspired #AI? Take a look at this study which examines conceptual, technical, and ethical issues raised by the development and use of brain-inspired AI #CRBSummerRead 🧠 dx.doi.org/10.1007/s10462…

@fchollet a cool recent paper on cortical circuit function is this one, Bengio was actually a co-author on it has cool ties with predictive coding, biologically plausible/backprop free learning biorxiv.org/content/10.110…

Increased perceptual reliability reduces membrane potential variability in cortical neurons biorxiv.org/cgi/content/sh… #biorxiv_neursci

Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810

What’s the point of strong spike frequency adaptation in serotonin neurons? This new work offers a clue: adaptation lets neurons broadcast a prediction of their future output, preventing slow downstream regions from lagging behind. 💡 doi.org/10.48550/arXiv…

Prospective and retrospective coding in cortical neurons. arxiv.org/abs/2405.14810

#PeerReview from @eLife of 👉🏿 Uncertainty-modulated prediction errors in cortical microcircuits #review" target="_blank" rel="nofollow noopener">biorxiv.org/content/10.110… #biorxiv #reviewedpreprint

#PeerReview from @eLife of 👉🏿 Uncertainty-modulated prediction errors in cortical microcircuits #review" target="_blank" rel="nofollow noopener">biorxiv.org/content/10.110… #biorxiv_neursci #reviewedpreprint