Incredibly honored to join the speaker lineup with such a prestigious group of colleagues, for the University of Notre Dame sites.nd.edu/cosacademics... symposium! The symposium is free, but registration is required here:
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
A tiny algorithm inspired by a fruit fly's brain could bring artificial noses closer to reality! Using sparse coding, the team was able to create a computing system designed for scent classification under conditions that challenge conventional #artificalintelligence 🔗: https://ow.ly/17nT50ZFo8k
In the latest episode, engineers debate neuromorphic sensing and learning. Panelists: Chiara Bartolozzi from IIT, Federico Corradi from TU/e, James Knight from the U Sussex, Laura Kriener INI Zurich, and Sebastian Siegel from the Peter Grünberg Institute, Jülich. brainsandmachines.net/41
Had my first publication with my son Will Fishell ....and my second on using SNNs and inhibition to improve AI computation with Suraj Honnuraiah iopscience.iop.org/article/10.1...
Feedforward spiking neural networks are not transformers (yet): a learning-theoretic framework for long-range dependencies and biological efficiency
Feedforward spiking neural networks are not transformers (yet): a learning-theoretic framework for long-range dependencies and biological efficiency, Fishell, William Peter, Fishell, Gord, Honnuraiah, Suraj
iopscience.iop.org
New neuromorphic/SNN paper with @pengfei-sun.bsky.social Zhe Su, @achterbrain.bsky.social @giacomoi.bsky.social and @danakarca.bsky.social: www.nature.com/articles/s42... Long story short: neat trick to augment SNNs with a tiny memory buffer to improve performance at low energy/param cost. 🤖🧠🧪
Algorithm–hardware co-design of neuromorphic networks with dual memory pathways - Nature Machine Intelligence
Pengfei Sun et al. develop a spiking neural network with a dual memory pathway, co-designed with a custom neuromorphic chip. The approach delivers over 4× throughput and 5x energy efficiency gains whi...
nature.com
Very nice paper that came out of a new collaboration between @jsenk.bsky.social and @neworderofjamie.bsky.social we started a while ago. Structural plasticity helps strike the balance between using sparse connectivity (*not* full matrices with loads of zeros) and being able to change it on the go.
Jamie@neworderofjamie.bsky.social · 6mo agoNew paper out at iopscience.iop.org/article/10.1... with @jsenk.bsky.social & @drtnowotny.bsky.social. We present what I think is the first framework for flexibly implementing GPU-accelerated structural plasticity rules (in GeNN obvs!) and demonstrate it with DEEP-R & topographic map formation.
This paper shows alignment between LLMs and brain data is outperformed by a null model. More evidence for the argument I've been making in talks lately that we shouldn't believe any computational paper that puts less effort into null than main model. www.biorxiv.org/content/10.1...
biorxiv.org
We're organising a "Neuromorphic hardware and algorithms" workshop at Sussex on 11th-12th of June 2026. Expect keynotes by Chiara Bartolozzi and André van Schaik as well as awesome ECR speakers. (Free) registration now open at genn-team.github.io/workshop2026/. Accepting abstracts until March 31st!
Neuromorphic Hardware and Algorithms workshop · Home
genn-team.github.io
state of the LLMs: Measuring the impact of Qwen, DeepSeek, Llama, GPT-OSS, Nemotron, and all of the new entrants to the ecosystem Impressive tipping point that happened during 2025 www.interconnects.ai/p/8-plots-th...
Some things we learned: 1. CA1 pyramidal neuron dendritic voltage dynamics during behavior are low-dimensional, well described by just two or three compartments (basal, soma, apical). This rules out models in which dendritic branches act as distinct computational compartments.
We're ending 2025 with a bang! I'm really proud to be part of the amazing team that produced this comprehensive perspective on "How #heterogeneity shapes dynamics and computation in the #brain" (and in #neuromorphic systems, I add 😇): authors.elsevier.com/sd/article/S...
ScienceDirect.com | Science, health and medical journals, full text articles and books.
authors.elsevier.com
I’m very grateful to the FMI, the tenure committee, inspiring colleagues, and all the hidden supporters who made this possible. Huge thanks to past and present group members for their curiosity and creativity. Excited for the next chapter.
FMI science@fmiscience.bsky.social · 9mo agoHuge congratulations to @fzenke.bsky.social on his promotion to Senior Group Leader! His team uses AI-powered models of neural networks to uncover how dynamic brain connections enable new memories. Learn more about his research in this video👇 www.youtube.com/watch?v=8xDu...
Yet another commentary (and rant) on why following the original #neuromorphic approach, using *also* #analog circuits to emulate the physics of cortical circuits, can be fascinating: www.pnas.org/doi/10.1073/...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
pnas.org
In our latest D-ITET professor series interview, Prof. Laura Bégon-Lours shares insights into neuromorphic computing and ferroelectric oxides – and she explains why these technologies could transform remote devices, wearables, and smart implants. Read the full interview: ee.ethz.ch/news-and-eve...
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...
"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.
science.org
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.
Dan Goodman@neural-reckoning.org · 10mo agoPsst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434
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
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
Neuron@cp-neuron.bsky.social · 11mo ago#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...
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iopscience.iop.org
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 🤩
Neuron@cp-neuron.bsky.social · 11mo ago
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...
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 ...
cell.com
Exciting news! Prof. Dr. Melika Payvand is joining D-ITET as Tenure Track Assistant Professor of Autonomous Intelligent Agents. Congratulations!
ETH Zurich@ethz.ch · 12mo agoAt 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: