Giacomo Indiveri
giacomoi.bsky.social
Giacomo Indiveri
@giacomoi.bsky.social
Old school neuromorph: implementing cortical network models with elegant analog/digital electronic circuits.
Basic research in pursuit of truth and beauty.
https://www.ini.uzh.ch/en/research/groups/ncs.html
https://fediscience.org/@giacomoi
Reposted by Giacomo Indiveri
Excellent research on Time Modulated Arrays: Prof. Hua Wang’s Integrated Devices, Electronics, and Systems (IDEAS) Group has received the Top-10 Key Achievement Award from the Smart Networks and Services Joint Undertaking in 2025. Congratulations!

Read more: ee.ethz.ch/news-and-eve...
November 25, 2025 at 7:48 AM
Reposted by Giacomo Indiveri
"Spiking Networks Hate It! Find Out the One Plasticity Trick They Don’t Want You to Know! Never stabilise models by hand again." - I woke up thinking we missed an opportunity with the title of this one. :/ www.science.org/doi/10.1126/... Also: It snowed in Vienna, 10cm white fluffies! Happy Sunday!
Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks
Plasticity at inhibitory synapses maintains balanced excitatory and inhibitory synaptic inputs at cortical neurons.
www.science.org
November 23, 2025 at 7:09 AM
Reposted by Giacomo Indiveri
With my great advisors and colleagues, @achterbrain.bsky.social @zhe @danakarca.bsky.social @neural-reckoning.org, we show that if heterogeneous axonal delays (imprecise) can capture the essential temporal structure of a task, spiking networks do not need precise synaptic weights to perform well.
November 13, 2025 at 8:51 PM
Honored (and scared) of being invited to give the keynote lecture on #neuromorphic for NER at IEEE EMBS 12th Annual International Conference on #NeuralEngineering (neuro.embs.org/2025/)

Slides available here: bit.ly/3Jspfek
November 12, 2025 at 3:55 PM
Reposted by Giacomo Indiveri
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
October 23, 2025 at 9:44 PM
Reposted by Giacomo Indiveri
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
October 21, 2025 at 11:40 AM
#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! 😇
October 12, 2025 at 9:32 PM
Reposted by Giacomo Indiveri
#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]
October 12, 2025 at 9:28 PM
#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...
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iopscience.iop.org
October 12, 2025 at 9:19 PM
Reposted by Giacomo Indiveri
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 🤩
October 6, 2025 at 9:48 AM
What is this "neuromorphic" hype all about?
Here's my (neuro)view on it:
https://authors.elsevier.com/a/1ltRg3BtfHC-Jf
October 3, 2025 at 4:03 PM
Curious about the meaning of "neuromorphic"?
Here's my latest NeuroView on this topic:
www.cell.com/neuron/fullt...
Neuromorphic is dead. Long live neuromorphic
In this NeuroView, Giacomo Indiveri discusses the origins and evolution of neuromorphic engineering, reflects on recent shifts toward digital and AI-centric approaches, and advocates for a revival of ...
www.cell.com
October 3, 2025 at 3:54 PM
Reposted by Giacomo Indiveri
Exciting news! Prof. Dr. Melika Payvand is joining D-ITET as Tenure Track Assistant Professor of Autonomous Intelligent Agents. Congratulations!
At its meeting of 17 and 18 September 2025 and upon application of Joël Mesot, President of ETH Zurich, the ETH Board appointed eight professors. The Board also awarded the title of "Professor of Practice" once.

More info:
Eight professors appointed
At its meeting of 17 and 18 September 2025 and upon application of Joël Mesot, President of ETH Zurich, the ETH Board appointed eight professors. The Board also awarded the title of
ethz.ch
September 18, 2025 at 2:12 PM
Reposted by Giacomo Indiveri
Yeah robots are definitely not taking over the world.

Not the red one, at least. 🤣
September 1, 2025 at 11:54 AM
Reposted by Giacomo Indiveri
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
August 18, 2025 at 7:40 AM
Reposted by Giacomo Indiveri
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.
From Spikes To Rates
YouTube video by Gerstner Lab
youtu.be
August 8, 2025 at 3:25 PM
Reposted by Giacomo Indiveri
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
July 24, 2025 at 7:51 AM
Reposted by Giacomo Indiveri
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...
www.nature.com
July 23, 2025 at 12:10 PM
Reposted by Giacomo Indiveri
Looking forward to speaking at the first Biohybrid Robotics Conference tomorrow!

biohybrid-robotics.com
July 7, 2025 at 7:32 PM
Reposted by Giacomo Indiveri
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...
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity - Nature Communications
Achieving the same robustness of biological networks in neuromorphic systems remains a challenge due to the variability in their analogue components. Here, the authors apply a biologically-plausible c...
www.nature.com
July 3, 2025 at 8:45 PM
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
July 1, 2025 at 12:51 PM
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
Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity
Nature Communications - Achieving the same robustness of biological networks in neuromorphic systems remains a challenge due to the variability in their analogue components. Here, the authors apply...
rdcu.be
July 1, 2025 at 12:39 PM
Reposted by Giacomo Indiveri
This is the smartest damn thing I’ve heard all year. If nothing else, it might serve to erode employers‘ trust in ChatGPT.
June 19, 2025 at 8:03 PM