Marcus Ghosh

Postdoctoral Fellow (@ImperialX_AI, @SchmidtFutures).

Working on multisensory integration with @neuralreckoning.

🦋

[Marcus Ghosh @MarcusGhosh]

How should animals combine information across their senses?

Prior work suggests linear fusion (sight+sound).

However, we show that this would be sub-optimal for many multisensory tasks,

and instead, propose a nonlinear function f(sight, sound).

https://t.co/98uidkutAz

[Dan Goodman @neuralreckoning]

Our paper on nonlinear multimodal processing now out in @PLOSCompBiol (with @MarcusGhosh, @GabrielBna1 and @BormuthVolker).

TLDR: adding a simple nonlinearity to the classic model helps a lot, but only on tasks with more realistic temporal structure.

https://t.co/FabrSTSE7O

[Marcus Ghosh @MarcusGhosh]

Excited to be teaching with TReND again!

Come along 🙂

[TReND-CaMinA @trend_camina]

🌍Exciting news! The 2025 TReND-CaMinA Course will be held in Lusaka, Zambia 🇿🇲 from July 7th–23rd. Dive into computational neuroscience and machine learning with us!

📅 Applications open: December 15th
🔗More info: https://t.co/P49RfKW1dx
Stay tuned & spread the word! 🧠✨

[Marcus Ghosh @MarcusGhosh]

Really enjoyed presenting at both @UniKonstanz & @BernsteinNeuro recently.

And, talking with some great people inc: @Pipcoen, @SSerenaDing, @zwitscherarmin, @KatrinVogt3 and may more.

[Marcus Ghosh @MarcusGhosh]

I will be at #BernsteinConference (@BernsteinNeuro) next week - with my @neuralreckoning colleagues.

Drop me a message if you'd like to meet up.

Otherwise, stop by my poster (IV 47) for some new work on multisensory integration

[Dan Goodman @neuralreckoning]

Come and meet the Neural Reckoners at @BernsteinNeuro with posters from:
⭐️@GabrielBna1: specialization/modularity
⭐️@MarcusGhosh @Swathi_Anil_: multisensory processing
⭐️Yang Chu: bootstrapping auditory learning with an innate circuit
⭐️Greta Horvathova: adversarial autoencoders

[Marcus Ghosh @MarcusGhosh]

Otherwise thanks again to @Kaysonfakhar & @CCHilgetag (@ICNS_Hamburg) for hosting me and @DanAkarca.

[Marcus Ghosh @MarcusGhosh]

I recently gave a talk on:

Nonlinearity and network topology in multimodal circuits.

Which you can watch here:
https://t.co/BpAdDS9tr3

[Kayson Fakhar @Kaysonfakhar]

And here's the one from @MarcusGhosh
https://t.co/uT5A6Zr0Ej
Some impressive work is being done by a very cool team, join them.

[Marcus Ghosh @MarcusGhosh]

It features both new and published work - which you can read here:

https://t.co/98uidkutAz

[Danyal Akarca @DanAkarca]

💥I’m hiring! 💥🚀

Funded by @ARIA_research, we’re massively ramping our work on spatially-embedded efficient computation in neural networks.

18m first instance, great London location, competitive postdoc salary.

Any Qs, my DMs are open! (please RT).
https://t.co/WYdZmJ6VLL

[Marcus Ghosh @MarcusGhosh]

How should we support research software engineers?

One idea from @ryrobyrne!

[Rory Byrne @ryrobyrne]

I think RSE teams is a good step, but not the right one in the long term.

Instead tool-makers should run autonomous "studios", analogous to "labs". This will be cheaper, more innovative, and more attractive for talented engineers.

How might this work? A dialogue 🧵

[Marcus Ghosh @MarcusGhosh]

Working together like this (across labs, disciplines and countries) feels like the future.

Congratulations to everyone involved:
@TomasFiers, @dilay_ercelik, @Z_Friedenberger, @GabrielBna1, @ryrobyrne, @IdoAizenbud, @BormuthVolker, @_AAlpha, @neuralreckoning

+ many more!

[Marcus Ghosh @MarcusGhosh]

How should we structure large-scale scientific projects?

Massive, open source collaborations (which anyone, anywhere can join) are one option!

We ran a project like this for 2 years.

Read about our experiences and findings here:
https://t.co/eBcyiQ3AeD

[Dan Goodman @neuralreckoning]

New preprint on our "collaborative modelling of the brain" (COMOB) project. Over the last two years, a group of us (led by @MarcusGhosh) have been working together, openly, online, with anyone free to join, on a computational neuroscience research project

https://t.co/tzvWGWq4g1

[Marcus Ghosh @MarcusGhosh]

@jslbutler @neuralreckoning @cian_neuro @PLOSCompBiol @GabrielBna1 @BormuthVolker Thanks!

I think the framing is much clearer now, following some helpful reviewer feedback 🙂

[Danyal Akarca @DanAkarca]

I hadn’t really thought about the variety of algorithms that *could* optimally underpin multi-modal processing/integration, until this awesome work by @MarcusGhosh & team.

Clear findings w/ experimentally testable predictions on nonlinear fusion in agents & organisms! 👌

[Marcus Ghosh @MarcusGhosh]

Had a great time sharing some new work and meeting everyone @UCL_Neuro_AI yesterday!

[Marcus Ghosh @MarcusGhosh]

Teaching on the @trend_camina (@TReNDinAfrica) summer school (Rwanda) was an incredible experience.

Both the students and staff (below) were super inspiring!

@saraysoldado, @jsoldadomagrane, @TomNotGeorge, @artemiskoum, @burakgur_, @tmchartrand, @fredpckuo, @devonjarvi5 etc

[Marcus Ghosh @MarcusGhosh]

Excited to be in Rwanda teaching and talking science!

[Marcus Ghosh @MarcusGhosh]

@ajfedorec Sadly, not this time!

[Marcus Ghosh @MarcusGhosh]

Excited to be in Rwanda teaching and talking science!

[TReND-CaMinA @trend_camina]

Our 2024 cohort is ready to start the journey.

For the next 2 1/2 weeks our students and teaching team will work together and will dive into concepts of computational neurosceince, machine learning and open science! 🧠💻🤖

Have fun everyone!

[Kayson Fakhar @Kaysonfakhar]

2 years into making, the last chapter of my PhD thesis, and a set of wonderful collaborators: @m00rcheh, @ShreyDixitAI, @misicbata, @caioseguin, @GZamora_Lopez, @CCHilgetag.

🧵 What can we learn about communication in brain networks from 7000 million virtual lesions:

[Marcus Ghosh @MarcusGhosh]

@anne_churchland @LChittka Lessons from the Lobster is also great, if a little more advanced

[Marcus Ghosh @MarcusGhosh]

@anne_churchland The Mind of A Bee by @LChittka is amazing!