Mark Iskarous

@miskarous.bsky.social

Postdoctoral Scholar at the University of Chicago in the Sensorimotor Bionics Lab working on sensorimotor BCIs. Interested in neuroengineering and neuromorphic systems. PhD at Johns Hopkins working on neuromorphic tactile feedback for upper limb prostheses

I'm very excited to spend the next 10 days in San Diego attending the 12th Annual IEEE EMBS International Conference on Neural Engineering (@embs.org) and then the 2025 Society for Neuroscience (@sfn.org) Meeting! If you are going to be at either conference, let me know, I'd love to see you!

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I'm very excited to share the workshop "𝐈𝐦𝐩𝐥𝐚𝐧𝐭𝐞𝐝 𝐁𝐂𝐈𝐬: 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬, 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐅𝐮𝐭𝐮𝐫𝐞 𝐃𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐬" which will be on November 11 at the IEEE/EMBS International Conference on Neural Engineering in San Diego! #IEEE #NER25 #neurotech #BCI #iBCI

NER_2025_iBCI Workshop_Info_250903.pdf

lnkd.in

Just finished a two week sprint to submit an NIH F32 Fellowship application! It was quite intense, but glad it's done 😊 and I actually feel good about the proposal. Hopefully things will he back to normal at the NIH by the time it gets reviewed

Just out in J Neuromorph Comput & Eng: Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks doi.org/10.1088/2634.... With @neworderofjamie.bsky.social. We report how Eventprop scales to harder learning tasks. TL;DR: It works great but not without extra effort. 🧪🧵

Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks - IOPscienceSearch

Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks, Nowotny, Thomas, Turner, James P, Knight, James C

doi.org

📢PSA: #NeurIPS2024 recordings are now publicly available! The workshops always have tons of interesting things on at once, so the FOMO is real😵‍💫 Luckily it's all recorded, so I've been catching up on what I missed. Thread below with some personal highlights🧵

I'm very excited that this review on scalable neuromorphic hardware, headed up by Dhireesha Kudithipudi, has finally come out in Nature🧪🧠🤖 rdcu.be/d7atq Neuromorphic hardware is ready for prime time. There are things to keep advancing, but I think the bigger opportunities lie in how we use it!

Neuromorphic computing at scale

Nature - Approaches for the development of future at-scale neuromorphic systems based on principles of biointelligence are described, along with potential applications of scalable neuromorphic...

rdcu.be

Congrats again to John Hopfield & Geoff Hinton on the well deserved #NobelPrize in Physics. A couple of weeks ago I gave a colloquium on "The physical origins of artificial intelligence" at the Stanford Linear Accelerator explaining the prize. Video: colloquium.slac.stanford.edu/events/2024-...

The physical origins of artificial intelligence | Colloquium Series at SLACSLAC National Accelerator LaboratorySubmit searchFacebookXLinkedInEmailDateLocationDateDateFacebookTwitterInstagramFlickrYout...

colloquium.slac.stanford.edu

1/ I work in #NeuroAI, a growing field of research, which many people have only the haziest conception of... As way of introduction to this research approach, I'll provide here a very short thread outlining the definition of the field I gave recently at our BRAIN NeuroAI workshop at the NIH. 🧠📈

Finding relevant papers for literature review takes a lot of time. So, MIT researchers built Undermind, an AI-powered search engine. It can generate well-researched overviews on any topic and is 10-50 times better than Google Scholar. Here's how to use it:

I made a starter pack of researchers working on spiking neural networks, neuromorphic hardware and all that jazz. At the moment, this community doesn't seem to be very present on Bluesky (more on Mastodon), but let me know if I've missed anyone! 🧠🧪 go.bsky.app/46Eu9GG

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