Research Scientist in Neuromorphic Computing @ Innatera
Working on the intersection of machine learning, hardware, and neuroscience
Previously @ [UCL, the Francis Crick Institute, Rutgers University]
neuroAI | comp neuro | ephys | neuromorphic computing
Really impressive work connecting the clinical manifestations of a neurodevelopmental disorder all the way down to the underlying cellular and synaptic mechanisms.
Huge congratulations to Sam @gritz122.bsky.social for the tremendous amount of work that went into this!
Our new preprint #manuskrypt is a labor of love and has a profound story behind it. @gritz122.bsky.social@argalloni.bsky.social (1/11)
www.biorxiv.org/content/10.6...
Excited to share this preprint from @ianoldenburg.bsky.social . To evoke movement with holo stim, you need the right pattern at the right time! Interestingly, the preparatory state before spont motion is not the same as the state permissive for evoked motion. Dig in!
www.biorxiv.org/content/10.6...
1/ Complex behavior demands the sequential coordination of hundreds of muscle groups. The body is mapped topographically in the brain, but does neural activity actually propagate across these maps to organize sequential action? Our new paper in Science: doi.org/10.1126/scie... 🧵
Speedy, spiraling electrical waves may be key to brain’s information flow
Rotating neuronal waves are built into brain anatomy and help coordinate far-flung regions, mouse imaging study suggests
www.science.org/content/arti...#neuroscience
Innatera is hiring a Senior Field Application Engineer to join our growing US-based team 🚀
If you like tackling hard problems at the intersection of hardware and AI engineering, and want to work on cool neuromorphic computing tech, check out the job posting:
jobs.ashbyhq.com/innatera/0b6...
I am so proud to share @gritz122.bsky.social my first PhD student's first preprint! This #compneurosky#neuroscience study tackles a controversial question in hippocampal place cell research – do place fields require spatially tuned synaptic inhibition? (1/5)
www.biorxiv.org/content/10.6...
We're hiring for a project on #SpikingNeuralNetworks and #neuromorphic computing, to start in October this year, for 36 months. Can hire at pre- or post-PhD level. Email me informally, or apply at the link below. Share with your networks / anyone who would be interested. 🤖🧠🧪
Interested in a PhD or postdoc in digital neuromorphic computing?
@neural-reckoning.org, Christos Bouganis and I are recruiting!
Please share with anyone who may be interested. Applications close on 15 May 2026.
www.imperial.ac.uk/jobs/search-...
Our latest publication grapples with how the brain could implement gradient descent by sending learning targets top-down, gating plasticity with dendritic inhibition, and updating synaptic weights with biologically observed learning rules like BTSP.
www.cell.com/cell-reports...
Scientists are always doing what's interesting to them, but I think that's the wrong approach. We should be going after all the stuff that bores us. Because it's actually not boring at all once you get into it, and it's precisely the things we think are going to be boring that open our minds.
I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.
The field of #neuromorphics is lacking *accessible*, *intuitive*, and *practical* introductions. Ramashish Gaurav, Petruț Antoniu Bogdan, and I are setting out to fix this with a book on Practical Spiking Neural Networks! ✅
Any and all contributions are welcome! 💕
Early access at: snnbook.net
One of the underrated papers this year:
"Small Batch Size Training for Language Models:
When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful" (arxiv.org/abs/2507.07101)
(I can confirm this holds for RLVR, too! I have some experiments to share soon.)
Very neat approach to mapping biological circuits to neuromorphic HW!
Had the pleasure of providing some feedback to Suraj Honnuraiah on an earlier draft of the paper, great to see it finally in print! (I actually missed that it already came out in Oct)
Link to paper:
www.pnas.org/doi/10.1073/...
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/...
With Masashi launching his new lab, we’ll be recruiting a new postdoc in the Oldenburg Lab.
Work: high-precision multiphoton holography, neural coding, motor cortex circuits, all-optical physiology.
If you’re interested, just reach out.
1/6 New preprint 🚀 How does the cortex learn to represent things and how they move without reconstructing sensory stimuli? We developed a circuit-centric recurrent predictive learning (RPL) model based on JEPAs.
🔗 doi.org/10.1101/2025...
Led by @atenagm.bsky.social@mshalvagal.bsky.social
Last week was my last at Rutgers University. After nearly 5 years in the US, I am moving to the Netherlands to join Innatera, a neuromorphic computing startup pushing the boundaries of what we can do with ultra-efficient hardware running SNNs for edge computing.
Feel incredibly fortunate to have worked alongside @neurosutras.bsky.social over the last few years and proud of all that we achieved. I'm very grateful to all the people who supported my many fellowship applications over the years.
Especially grateful to Aaron, who has been the most
supportive mentor I could have wished for, and who gave me the time and space to learn and grow, and the intellectual freedom explore my ideas (and the occasional rabbit hole). Will miss all the wonderful colleagues I am leaving behind. Now on to new adventures, see you all back in Europe!
There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task.
References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.
From my discussions with other faculty, the use of generative AI I hear about the most is writing reference letters.
What's the point of having reference letters anymore if everyone is just having them written by machine?
Psst - 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
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.
Psst - 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
Really enjoyed reading this short opinion piece by Tim O'Leary. I think it echoes the classic Feynman quote "what I cannot create I do not understand". I think engineering approaches such as neuromorphic computing will prove fundamental to scientific understanding of how biological brains work
Personal bias but I liked this transmitter article: www.thetransmitter.org/systems-neur...
“You won’t catch an engineer trying to formulate a grand unified theory of the brain”
“Engineers know how to make things work […] This is what makes engineering closer to biology than to other […] sciences”
Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.)
Agenda: snufa.net/2025/
Registration: www.eventbrite.co.uk/e/snufa-2025...
Thanks to all who voted on abstracts!
🤖🧠🧪
My co-authors have yet to move to Bluesky, so I'm pleased to announce our latest work has just been published in @nature.com Neuroscience. Amazing work led by Junheng Li, revealing that falling asleep follows a predictable bifurcation pattern #neuroskyence#sleepwww.nature.com/articles/s41...
MSR NYC is hiring senior researchers in AI, both broadly in AI/ML & in specific areas (post-training, test-time scaling, modular transfer learning, science of deep learning).
aka.ms/msrnyc-jobs
We're reviewing on a rolling basis, interviews in Nov/Dec. Please apply here: tinyurl.com/MSRNYCjob
Want to make publication-ready figures come straight from Python without having to do any manual editing? Are you fed up with axes labels being unreadable during your presentations? Follow this short tutorial including code examples! 👇🧵
Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️
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 🤩
I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time!
www.biorxiv.org/content/10.1...
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
Q: In V-clamp (without compensation), does the cell membrane charge up slowly according to the membrane timeconstant tau=Rm*Cm?
A: No, the membrane charges up slowly according to tau=Rs*Cm, i.e. the speed of charging depends on *series resistance (Rs)*, not the membrane/leak resistance Rm.
Q: In current clamp, does the delivered current get filtered by Rs?
A: No, the current is truly a square step with accurate amplitude and timing (as long as you don’t saturate the op-amp). The main source of error here is the current leaking out through a bad seal.
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
Q: Does access R affect the recorded voltage in current clamp if I'm not injecting current?
A: There is no DC error if you are not passing current, but the waveform is still affected by the pipette capacitance (tau=Rs*Cp), making fast events like APs smaller and wider
Q: The pipette capacitance (Cp) causes an RC filtering/transient. Does “R” here refer to the pipette resistance? Will smaller pipette opening affect the capacitive artifact?
A: No, the R here is neither the Rs nor Rleak. It is the sum or resistances in *series* with Cp (e.g. junction resistance)
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
Electronics can be pretty unintuitive. I've found that being able to directly see and manipulate all the variables in a "white-box" system like this makes it much easier to grok what is going on under the hood. Active learning ftw!
Here is the link to the simulator if any of you want to play with it. Or share it with your students if they are learning about electrophysiology!
tinyurl.com/patch-clamp-...
I added sliders to let you easily play around with all the key variables (series/access R, Rs, capacitance comp, etc)
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
For example, does bridge balance compensation affects how much current is being delivered to the cell?
Answer: no, bridge balance is a cosmetic DC correction to the recorded voltage (proportional to delivered current). It doesn't influence anything about the actual pipette/cell/injected current
On the other hand, Rs compensation in Voltage Clamp is an active circuit that directly drives the cell voltage higher (so it's very important to get it right online!)
Because of the positive feedback loop (command voltage driven by recorded current), it is prone to unstable oscillations.
Hey ephys friends! I've been teaching electrophysiology for a few years now, and this summer while teaching at CSHL I started building an interactive simulation of a full patch-clamp amplifier circuit to help explain electronics to my students.
Sharing it here in case anyone finds it useful!
Many students (and practitioners!) get confused about how series resistance, pipette capacitance, and various electronic compensation circuits affect your recordings.
Now you can see for yourself in the simulator!
tinyurl.com/patch-clamp-...
The CTRL-Labs decoding model paper is out! Saw this presented at Cosyne this year, very cool to see it out.
I would say this is the clearest demonstration of scaling laws in neural decoding to-date.
www.nature.com/articles/s41...
🧠📈 🧪
New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks. Explainer thread below. 🤖🧠🧪 www.biorxiv.org/content/10.1...