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Moving to another social media platform? I'm on the the mammoth one, the blue one, and the corporate one, if you want to follow me there (in order of preference). Links in next post.
Dan Goodman
@neuralreckoning
Computational neuroscientist @imperialcollege.
I like to make stuff: @briansimulator @neuromatch.
Mostly posting on 🐘/🦋 now. Check pinned post for links.
I like to make stuff: @briansimulator @neuromatch.
Mostly posting on 🐘/🦋 now. Check pinned post for links.
562 Following 12K Followers 12K Posts
Latest posts 5
Last chance to get your SNUFA spiking neural network abstracts in, deadline tomorrow. 300 words and a chance to give a talk in front of hundreds (plus YouTube upload gets hundreds more).
snufa.net/2026/
Don't forget to register for the conf & tell your friends!
snufa.net SNUFA 2026 Spiking Neural Networks As Universal Function Approximators snufa.net/2026/
Don't forget to register for the conf & tell your friends!
Very happy to have a role consulting with @CallosumAI. AI energy needs are growing out of control and access is controlled by too few US-based companies. Cheaper and more energy efficient AI can address these issues and open more responsible AI use more widely.
The future of compute & AI is heterogeneous.View quoted post on X
That future is being built by Callosum.
Today we launch with new breakthroughs made possible by heterogeneity, new scaling principles & a roadmap reimagining compute & AI infrastructure:
callosum.com/blog/introduci…
Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch.
youtube.com/playlist?list=…
#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks
youtube.com/playlist?list=…
#Neuroscience #ComputationalNeuroscience #SpikingNeuralNetworks
www.youtube.com SNUFA 2025 Workshop Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/ 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 and @DanAkarca:
arxiv.org/abs/2510.27434
arxiv.org/abs/2510.27434
arxiv.org Exploiting heterogeneous delays for efficient computation in... Neural networks rely on learning synaptic weights. However, this overlooks other learnable neural parameters. One such parameter is delay: neurons communicate asynchronously with heterogeneous...