Pengfei

@pengfei-sun.bsky.social

I’m a postdoc @Imperial, working with @neural-reckoning.org. I’m passionate about brain‑inspired neural networks, focusing on delay learning in RNNs (spiking/rate) and lightweight attention mechanisms.

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. 🤖🧠🧪

George A. Constantinides@gconstantinides.bsky.social · 4mo ago

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-...

London #neuroscience people you may like this. We're hosting a series of talks at Imperial & Crick on how to get experiment and theory working together better. Each session will have a talk around this and extended networking / group discussion on the questions raised. Plus, free food! 🤖🧠🧪

Marcus Ghosh@marcusghosh.bsky.social · 5mo ago

How can we build better experiment-theory collaborations in neuroscience? We're hosting a series of 6 in-person, interactive workshops to discuss this. Come along! www.eventbrite.co.uk/e/understand...

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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 · 9mo ago

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

Is anarchist science possible? As an experiment, we got together a large group of computational neuroscientists from around the world to work on a single project without top down direction. Read on to find out what happened. 🤖🧠🧪

Diagram of how the "collaborative modelling of the brain" (COMOB) project started. Starting material lead to group research or solo research, coming together in online workshops (monthly) in an iterative cycle, finishing with writing up together. The diagram is illustrated with colourful cartoon blob characters.

Hiring a post-doc at Imperial in EEE. Broad in scope + flexible on topics: neural networks & new AI accelerators from a HW/SW co-design perspective! w/ @neuralreckoning.bsky.social @achterbrain.bsky.social in Intelligent Systems and Networks group. Plz share! 🚀: www.imperial.ac.uk/jobs/search-...

Description

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities ment...

imperial.ac.uk

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Together with my supervisor and the Neural Reckoning team neuralreckoning.bsky.social, we’ve developed a new SHD/SSC variant that strips out rate information but spike‑timing information—designed to really challenge SNNs. Your feedback is welcome—let us know how it performs in your models!

GitHub - neural-reckoning/temporal-shd: Variant of the SHD dataset with only timing information retained

Variant of the SHD dataset with only timing information retained - neural-reckoning/temporal-shd

github.com

Dan Goodman@neural-reckoning.org · last yr.

New preprint for #neuromorphic and #SpikingNeuralNetwork folk (with @pengfei-sun.bsky.social). arxiv.org/abs/2507.16043 Surrogate gradients are popular for training SNNs, but some worry whether they really learn complex temporal spike codes. TLDR: we tested this, and yes they can! 🧵👇 🤖🧠🧪

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.

Fusing multisensory signals across channels and time

Author summary We constantly detect sensory inputs, like sights and sounds, and use combinations of these signals to guide our actions. For example, by reading someone’s lips we can better converse wi...

journals.plos.org

Dan Goodman@neural-reckoning.org · 2y ago

New preprint 🤖🧠🧪! With @swathianil.bsky.social and @marcusghosh.bsky.social. If you want to get the most out of a multisensory signal, you should take it's temporal structure into account. But which neural architectures do this best? 🧵👇 www.biorxiv.org/content/10.1...

Abstract submissions are now open for the UK Neural Computation Conference! (Deadline 12th May). We also have ARIA sponsored travel funds for ECRs! 💥 Submit here: neuralcomputation.uk/submission.html Genreal info: neuralcomputation.uk Registration open May. Any qs get in touch + plz share!

Submission |

neuralcomputation.uk

Mark D Humphries@markdhumphries.bsky.social · last yr.

Abstract submission is open for UK Neural Computation 2025 @ Imperial College (9-11 July) neuralcomputation.uk/submission.h... Deadline: 12 May Please share All info: neuralcomputation.uk Sponsors: ARIA; Francis Crick Institute Organisers: @danakarca.bsky.social @neuralreckoning.bsky.social