Oct 30, 4:30 "How does the Geometry of Brain Activity Shape Behavior?" Valeria Fascianelli; moderator Stefano Fusi, Zuckerman Institute, Columbia. Open seminars series; register here: tinyurl.com/379uda2z @valeriafascianelli.bsky.social , @columbiauniversity.bsky.social, @stefanofusi.bsky.social

Inspiring perspective paper by Prof. Giacomo Indiveri in Neuron. In this interview, he talks about the term “neuromorphic”, the uniqueness of the Institute of Neuroinformatics and comparisons with artificial intelligence. Read more: ee.ethz.ch/news-and-eve... @giacomoi.bsky.social

#Spiking #neural #networks ( #SNN ) running on continuous-time, noisy, and highly variable computing substrates can learn reliably with #ReinforcementLearning ... Not only in real brains, but also in mixed-signal #neuromorphic hardware! 😇

#Spiking #neural #networks (#SNN) running on continuous-time, noisy, and highly variable computing substrates can learn reliably with #ReinforcementLearning ... Not only in real brains, but also in mixed-signal #neuromorphic hardware! 😇 Neuromorphic dreaming […] [Original post on fediscience.org]

#Spiking neural networks running on continuous-time, noisy, and high;y variable computing substrates can learn reliably... Not only in real brains. Also in mixed-signal #neuromorphic hardware 😇 Neuromorphic dreaming as a pathway to efficient learning in artificial agents www.doi.org/10.1088/2634...

A thought-provoking perspective from the visionary @giacomoi.bsky.social, calling for neuromorphic computing to return to its root: fundamental neuroscience; an inspiring vision for the future of NeuroAI 🤩

What is this "neuromorphic" hype all about? Here's my (neuro)view on it: https://authors.elsevier.com/a/1ltRg3BtfHC-Jf

Curious about the meaning of "neuromorphic"? Here's my latest NeuroView on this topic: www.cell.com/neuron/fullt...

Exciting news! Prof. Dr. Melika Payvand is joining D-ITET as Tenure Track Assistant Professor of Autonomous Intelligent Agents. Congratulations!

Yeah robots are definitely not taking over the world. Not the red one, at least. 🤣

Publishing in Neuromorphic Computing and Engineering means more visibility and higher impact: 📊 Impact Factor: 6.1 📶 Citescore: 9.2 🥇 Q1 JCR subject ranking ⏱️ 7-day median to first decision Join the leaders shaping neuromorphic innovation! iopscience.iop.org/journal/2634... #MaterialsScience

Is it possible to go from spikes to rates without averaging? We show how to exactly map recurrent spiking networks into recurrent rate networks, with the same number of neurons. No temporal or spatial averaging needed! Presented at Gatsby Neural Dynamics Workshop, London.

Introducing our new favorite stimulus. A few minutes are enough to map the visual preferences of thousands of neurons. Mapping the visual cortex with Zebra noise and wavelets www.biorxiv.org/content/10.1... By Sophie Skriabine and Max Shinn, with Samuel Picard and @kenneth-harris.bsky.social

Trying to train RNNs in a biol plausible (local) way? Well, try our new method using predictive alignment. Paper just out in Nat. Com. Toshitake Asabuki deserves all the credit! www.nature.com/articles/s41...

Looking forward to speaking at the first Biohybrid Robotics Conference tomorrow! biohybrid-robotics.com

Thanks to Maryada (@giacomoi.bsky.social lab)! Due to component variability it is hard to set the weights across neuromorphic devices. Using our crosshomeostatic learning rule, that governs all four weight classes, we drove neuromorphic RNNs into balanced E/I regimes. www.nature.com/articles/s41...

I'm extremely proud of the work of Maryada, Saray Soldado-Magraner and colleagues, in collaboration with Dean Buonomano, which shows how their cross-homeostatic #plasticity model enables analog #neuromorphic #circuits to produce stable recurrent dynamics on our DYNAP-SE

I'm extremely proud of the work of Maryada, Saray Soldado-Magraner and colleagues, in collaboration with @deanbuono.bsky.social which shows how their #cross-homeostatic #plasticity model enables analog #neuromorphic #circuits to produce stable recurrent dynamics on our chips!!! rdcu.be/euiv2

This is the smartest damn thing I’ve heard all year. If nothing else, it might serve to erode employers‘ trust in ChatGPT.

Fusing multisensory signals across channels and time. Now published at PLOS Comp Biol! 🎉 With @swathianil.bsky.social and @marcusghosh.bsky.social. journals.plos.org/ploscompbiol... TLDR, when multisensory signals vary over time, neural architecture becomes important. Biggest not always best.

The firing of neural populations is high-dim even if their subthreshold activity is low-dim! This work by @bio-emergent.bsky.social and @haydari.bsky.social shows how, with a solvable model, a data analysis technique, and data from mouse visual cortex: www.biorxiv.org/content/10.1...

Hot off the press! We take advantage of the intrinsic variability of #analog #neuromorphic circuits to create unique paintings with a #robotic artist. www.nature.com/articles/s41...

🧠 Neuromorphic Computing: Two Approaches, One Debate. Join leading researchers as they explore the future of brain-inspired computing. 📅 June 18 | 2 p.m. GMT / 9 a.m. EST Hosted by Neuromorphic Computing and Engineering Register now! 👉 ow.ly/Tbpr50VXETS #NeuromorphicComputing #Webinar

I'm about to char a special session on "#Neuromorphic Technology for Intelligent Edge Computing" at #ISCAS25 in London and present my view on using "Principles of #Neural Design for Implementing Efficient #Mixed-Signal #Neuromorphic Processors" 🙂 drive.switch.ch/index.php/s/...

1/6 Why does the brain maintain such precise excitatory-inhibitory balance? Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning. www.biorxiv.org/content/10.1... led by @jrbch.bsky.social

Our team is hiring in Zurich! www.google.com/about/career...

One more step toward EEG based epileptic seizure detection using #neuromorphic #spiking neural network chips! rdcu.be/ek2SC Jim Bartels, Olympia Gallou, Hiroyuki Ito, Matthew Cook, Johannes Sarnthein, Giacomo Indiveri & Saptarshi Ghosh

Take our short 5-min anonymous survey on the Neuromorphic field’s current state & future: 📋 tinyurl.com/3jkszrnr 🗓️ Open until May 12, 2025 Results will be shared openly and submitted for publication. Your input will help us understand how interdisciplinary trends are shaping the field.

Here is how I have been comparing the two big hype phenomena in AI and robotics, in my recent talks. Spoiler alert: the hype is unfounded.

Yet another demonstration of how noisy analog #neuromorphic circuits can achieve impressive results in emulating real neural processing systems, implement always-on on-chip #learning, and solving practical #edge-computing applications! @giacomoi.bsky.social

I'm extremely proud of this work, which shows how using the physics of analog electronic circuits helps us understand learning and computational principles of cortical neural networks and build efficient neural processing systems that can complement and outperform AI accelerators in edge computing!

A canonical cortical electronic circuit for neuromorphic intelligence https://www.biorxiv.org/content/10.1101/2025.03.28.646019v1

I am really proud to announce that our latest effort on showing the advantages of our analog/digital #neuromorphic spiking neural network chips in solving complex biomedical applications has just been published here: https://rdcu.be/ef5N0 The demonstrates that *small* *highly variable* and *low […]

🌟 Paper out in npj Unconventional Computing! www.nature.com/articles/s44... A system built with just a few neurons, yet able to solve a complex task — not by stacking layers or going deeper, but by embracing unconventional thinking. This is neuromorphic to me!

Advances in neuroscience have yielded massive, rich datasets from various analysis techniques and modalities. 🧠📈 In a @natureneuro.bsky.social perspective, researchers underscore the importance of an integrative approach to render a more complete picture of the brain.

🥰 updated my perspective on building more adaptive AI with neuroscience inspired brain-like agentic systems. If of interest, I hope it’s a nice review of adaptive behavior in neuro, cutting edge AI, and my proposal for an updated merger: arxiv.org/abs/2411.15234

Consistent with the work of @jeremiahycohen.bsky.social and @mishaahrens.bsky.social labs, we find that serotonin axons in mouse visual cortex appear to signal recent visuomotor uncertainty (and unlike norepinephrine axons, they have no visuomotor mismatch responses) www.biorxiv.org/content/10.1...

My talk on “Neuroscience and AI: a symbiosis” @SimonsInstitute I start with a whirlwind history of metaphors for intelligence, spanning Hippocratic hydraulics, Hobbesian clocks, Cartesian dualism to Turing, telegraphs, Hopfield, and deep learning. simons.berkeley.edu/talks/surya-...

OK so if you get invited to give a talk at the Institute of Neuroinformatics, say yes. The hotel they put you up in has the most incredible view of the city. See you tomorrow @melikapayvand.bsky.social and thanks! 🙂

Our new paper with @chrismlangdon is just out in @natureneuro.bsky.social! We show that high-dimensional RNNs use low-dimensional circuit mechanisms for cognitive tasks and identify a latent inhibitory mechanism for context-dependent decisions in PFC data. www.nature.com/articles/s41...

We always see that 1) neural responses are very diverse 2) the shattering dimensionality is as high as it can be. Now also in an extensive analysis of the IBL dataset. Wonderful collaboration with @lorenzoposani.com, Shuqi Wang, Samuel Muscinelli, Liam Paninski. Many new analyses in this new version

I asked AI to design a T-shirt for the new MIT Consciousness Club. It couldn't even spell "consciousness" right - and it requires the energy of a nuclear plant. Brains aren’t digital or just connections. Brains are analog computers. There, I said it. #neuroscience

It’s a major surprise to me that this is the first time it’s happened. The methodology in defining a top scientist was to look at the authors of the most cited papers in 129 scientific journals. Since 2020, the number of U.S. top scientists has declined by 14% while it’s up by 77% in China.

It's finally out! Visual experience orthogonalizes visual cortical responses Training in a visual task changes V1 tuning curves in odd ways. This effect is explained by a simple convex transformation. It orthogonalizes the population, making it easier to decode. 10.1016/j.celrep.2025.115235

I have very nearly same # followers here& on xitter. Posted thread here this am on new preprint, ~130 likes& reposts so far. Posted at same time on X, w link to paper & Bsky thread in 2nd post (because X suppresses links), 1st post has 174 *views*, 8 likes/reposts. What's better site for science?

If the endless "some people optimized LLMs" news is starting to bore you, check out our preprint on neuromorphic-compatible neural circuits that can solve sparse linear systems. arxiv.org/abs/2501.10526 This opens up some exciting new doors for brain-like algorithms! 🧪🧠🤖 #NeuroAI #Neuromorphic

Spiros Chavlis and I are very excited to share our latest #dendritic ANN research published in Nature Comms. @natureportfolio.bsky.social. We show that adopting the structure and sparse sampling features of biological #dendrites makes ANNs accurate, highly efficient and robust to overfitting.