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Dan GoodmanPreview of the talk I'm giving on Friday. <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a>

Dan GoodmanLow stakes pet peeve of the day: spiking neural network people stop saying SNNs are the third generation of ANNs. They predate them! <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a>

Dan GoodmanI'm giving an online talk starting in 15m (as part of UCL's NeuroAI series).It's on neural architectures and our current line of research trying to figure out what they might be good for (including some philosophy: what might an answer to this question even look like?).Sign up (free) at this link to get the zoom link:<a href="https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1189972031379?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1189972031379?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/neuroai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroai</a>

Dan GoodmanCome along to my (free, online) UCL NeuroAI talk next week on neural architectures. What are they good for? All will finally be revealed and you'll never have to think about that question again afterwards. Yep. Definitely that.🗓️ Wed 12 Feb 2025 ⏰ 2-3pm GMT ℹ️ Details and registration: <a href="https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1216638381149" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eventbrite.co.uk/e/ucl-neuroai-talk-series-tickets-1216638381149</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a> <a href="https://neuromatch.social/tags/NeuroAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroAI</a>

Dan GoodmanWhat's the right way to think about modularity in the brain? This devilish 😈 question is a big part of my research now, and it started with this paper with <a href="https://neuromatch.social/@GabrielBena" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@GabrielBena</a> finally published after the first preprint in 2021! <a href="https://www.nature.com/articles/s41467-024-55188-9" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41467-024-55188-9</a>We know the brain is physically structured into distinct areas ("modules"?). We also know that some of these have specialised function. But is there a necessary connection between these two statements? What is the relationship - if any - between 'structural' and 'functional' modularity?TLDR if you don't want to read the rest: there is no necessary relationship between the two, although when resources are tight, functional modularity is more likely to arise when there's structural modularity. We also found that functional modularity can change over time! Longer version follows.<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://neuromatch.social/tags/ComputationalNeuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputationalNeuroscience</a>

Dan GoodmanNew preprint! With Swathi Anil and <a href="https://neuromatch.social/@marcusghosh" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@marcusghosh</a>.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? 🧵👇<a href="https://www.biorxiv.org/content/10.1101/2024.12.19.629348v1" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.biorxiv.org/content/10.1101/2024.12.19.629348v1</a><a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a>

Fabrizio MusacchioI've added a new chapter on <a href="https://sigmoid.social/tags/VariationalAutoencoders" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VariationalAutoencoders</a> (VAE), including an exercise that shows how to train a <a href="https://sigmoid.social/tags/VAE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VAE</a> to predict behavior from neural data inputs.<a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://sigmoid.social/tags/PythonTutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PythonTutorial</a>

Fabrizio MusacchioWe just completed a new course on <a href="https://sigmoid.social/tags/DimensionalityReduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DimensionalityReduction</a> in <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a>, and the full teaching material 🐍💻 is now freely available (CC BY 4.0 license):🌍 <a href="https://www.fabriziomusacchio.com/blog/2024-10-24-dimensionality_reduction_in_neuroscience/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.fabriziomusacchio.com/blog/2024-10-24-dimensionality_reduction_in_neuroscience/</a>The course is designed to provide an introductory overview of the application of dimensionality reduction techniques for neuroscientists and data scientists alike, focusing on how to handle the increasingly high-dimensional datasets generated by modern neuroscience research.<a href="https://sigmoid.social/tags/PythonTutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PythonTutorial</a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a>

Dan GoodmanPhD position openings in my group! Check out topics and how to apply below. At the moment, I'm particularly interested in the topic of modularity in both biological and artificial networks, and how it can be used to scale up intelligent processes.<a href="https://neural-reckoning.org/openings.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://neural-reckoning.org/openings.html</a>Note that competition for PhD funding at Imperial is pretty strong these days, so worth checking if your undergrad/masters grades are equivalent to UK 1st/Distinction before applying. I'm afraid I don't take self-funded PhD students.<a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuroscience</a> <a href="https://neuromatch.social/tags/compneuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#compneuro</a> <a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computationalneuroscience</a> <a href="https://neuromatch.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a>

Dan Goodman<a href="https://neuromatch.social/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#introduction</a> I'm a computational neuroscientist (<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CompNeuro</a>) and science reformer based at Imperial College London.I like to build things and organisations that make it easier to do better <a href="https://neuromatch.social/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#science</a>.I made the Brian spiking neural network simulator (<a href="https://briansimulator.org" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://briansimulator.org</a>) with <a href="https://mastodon.social/@romainbrette" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@romainbrette</a> and <a href="https://neuromatch.social/@mstimberg" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@mstimberg</a>. I co-founded <a href="https://neuromatch.social/tags/Neuromatch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuromatch</a> with <a href="https://neuromatch.social/@kordinglab" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@kordinglab</a> and a bunch of others, and the SNUFA community with <a href="https://mas.to/@fzenke" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fzenke</a>.In my main research, I'm interested in how the brain uses spikes to carry out computations, and what advantages that might have. Increasingly, my work revolves around using methods from <a href="https://neuromatch.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> because that finally lets us build models that actually require intelligence, the unique property of the brain I'm interested in.I also want to make science better. Neuromatch's mission is to democratise science, and with our new open <a href="https://neuromatch.social/tags/publishing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#publishing</a> initiative (<a href="https://nmop.io" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://nmop.io</a>) I'm hoping we'll be able to dramatically change the murky world of academic publishing.You might (ha!) also see some political commentary from me. I'm a left-wing <a href="https://neuromatch.social/tags/anarchist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#anarchist</a>.Happy to discuss any of the above!

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