Marcus Ghosh
banner
marcusghosh.bsky.social
Marcus Ghosh
@marcusghosh.bsky.social
Computational neuroscientist.

Research Fellow @imperialcollegeldn.bsky.social and @imperial-ix.bsky.social

Funded by @schmidtsciences.bsky.social
Pinned
How does the structure of a neural circuit shape its function?

@neuralreckoning.bsky.social & I explore this in our new preprint:

doi.org/10.1101/2025...

🤖🧠🧪

🧵1/9
Reposted by Marcus Ghosh
Adam Kampff prioritized spreading knowledge over publishing flashy papers in prestigious journals, but colleagues say his mark on neuroscience was undeniable. The researcher and educator passed away on 9 December.

By Lauren Schneider

www.thetransmitter.org/systems-neur...
Remembering Adam Kampff, neuroscience educator and researcher
Kampff’s do-it-yourself approach inspired a generation of neuroscientists.
www.thetransmitter.org
December 24, 2025 at 3:15 PM
Toy models, just in time for Christmas!

Excited to share my first article for @thetransmitter.bsky.social

#neuroskyence
December 22, 2025 at 3:39 PM
I'm excited to be teaching with @trendcamina.bsky.social again this summer.

Come along!
Applications Are Open! 🥳

#TReNDCaMinA Summer School 2026 | 29 Jun–15 Jul Dedan Kimathi University of Technology, Kenya

For applicants in African countries with backgrounds in neuroscience, medicine, Computer Science, engineering, & related fields.
Apply 👉 trendinafrica.org/trend-camina/
December 15, 2025 at 9:06 AM
Reposted by Marcus Ghosh
🚨new work with the dream team @danakarca.bsky.social @loopyluppi.bsky.social @fatemehhadaeghi.bsky.social @stuartoldham.bsky.social @duncanastle.bsky.social
We use game theory and show the brain is not optimally wired for communication and there’s more to its story:
www.biorxiv.org/content/10.6...
December 15, 2025 at 8:01 AM
Adam was a truly inspiring scientist.

He made neuroscience fun and exciting, and made everything seem possible.

The Behaviour and Neural Systems course was formative for many of us.

The photo below is from my time @champalimaudr.bsky.social in 2016.
December 10, 2025 at 9:13 AM
Reposted by Marcus Ghosh
Finally got the job ad—looking for 2 PhD students to start spring next year:

www.gao-unit.com/join-us/

If comp neuro, ML, and AI4Neuro is your thing, or you just nerd out over brain recordings, apply!

I'm at neurips. DM me here / on the conference app or email if you want to meet 🏖️🌮
December 3, 2025 at 9:37 AM
Reposted by Marcus Ghosh
📍Excited to share that our paper was selected as a Spotlight at #NeurIPS2025!

arxiv.org/pdf/2410.03972

It started from a question I kept running into:

When do RNNs trained on the same task converge/diverge in their solutions?
🧵⬇️
November 24, 2025 at 4:43 PM
Reposted by Marcus Ghosh
We're almost at the end of the year, and that means an end-of-year review! Send me your favorite NeuroAI papers of the year (preprints or published, late last year is fine too).
November 19, 2025 at 4:14 PM
Reposted by Marcus Ghosh
🔥 Big news! #TReNDCaMiNA 2026 is back!
Heading to the cool highlands of Nyeri at @DeKUTkenya

🗓️ Appl open: 15 Dec 2025 – 26 Jan 2026
💻 Learn #compneuro & ML in a refreshing environment.

🔗 Details & application in the link
📣 Share & tag friends!

trendinafrica.org/trend-camina/
camina | TReND in Africa
trendinafrica.org
November 18, 2025 at 8:03 AM
Reposted by Marcus Ghosh
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
Exploiting heterogeneous delays for efficient computation in low-bit neural networks
Neural networks rely on learning synaptic weights. However, this overlooks other neural parameters that can also be learned and may be utilized by the brain. One such parameter is the delay: the brain...
arxiv.org
November 13, 2025 at 5:40 PM
Interested in #neuroscience + #AI and looking for a PhD position?

I can support your application @imperialcollegeldn.bsky.social

✅ Check your eligibility (below)
✅ Contact me (DM or email)

UK nationals: www.imperial.ac.uk/life-science...

Otherwise: www.imperial.ac.uk/study/fees-a...
November 4, 2025 at 9:47 AM
Are #NeuroAI and #AINeuro equivalent?

@rdgao.bsky.social draws a nice distinction between the two.

And introduces Gao's second law:
“Any state-of-the-art algorithm for analyzing brain signals is, for some time, how the brain works.”

Part 1: www.rdgao.com/blog/2024/01...
September 25, 2025 at 12:19 PM
Reposted by Marcus Ghosh
New preprint! What happens if you add neuromodulation to spiking neural networks and let them go wild with it? TLDR: it can improve performance especially in challenging sensory processing tasks. Explainer thread below. 🤖🧠🧪 www.biorxiv.org/content/10.1...
Neuromodulation enhances dynamic sensory processing in spiking neural network models
Neuromodulators allow circuits to dynamically change their biophysical properties in a context-sensitive way. In addition to their role in learning, neuromodulators have been suggested to play a role ...
www.biorxiv.org
September 18, 2025 at 4:30 PM
Reposted by Marcus Ghosh
Truly honored (and a little overwhelmed) to see our work featured in The Transmitter's "This Paper Changed My Life." Huge thanks to @neural-reckoning.org for the kind words - and to our amazing community that keeps pushing spiking neural network research forward 🙏
September 17, 2025 at 2:50 PM
The misleading manifold?

The current debate (decoding vs causal relevance)

and a toy example I gave in the thread below

got me thinking about a related issue: how decoding may reflect structure more than function.

🧵 1/5
These, and other, studies show that you can decode task-related signals from many brain areas.

But wouldn't we need causal manipulations to conclude that the brain "uses" them?

For example, maybe we can decode equally well from two areas. But, only one impacts behaviour when inactivated.
September 8, 2025 at 1:44 PM
Reposted by Marcus Ghosh
Proud to have been a part of this, a great example of distributed async science!

Huge thanks to @marcusghosh.bsky.social, @neuralreckoning.bsky.social, @tfiers.bsky.social, @krhab.bsky.social and others for putting in the bulk effort 🙌
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. 🤖🧠🧪
September 4, 2025 at 3:44 PM
Being part of this grassroots 🌱 neuroscience collaboration was a great experience!

Keep an eye out for our next collaborative effort
September 4, 2025 at 3:17 PM
I'll be presenting this work at #CCN2025 tomorrow (A173).

Come and say hi or message me if you'd like to meet up!
How does the structure of a neural circuit shape its function?

@neuralreckoning.bsky.social & I explore this in our new preprint:

doi.org/10.1101/2025...

🤖🧠🧪

🧵1/9
August 11, 2025 at 3:33 PM
How does the structure of a neural circuit shape its function?

@neuralreckoning.bsky.social & I explore this in our new preprint:

doi.org/10.1101/2025...

🤖🧠🧪

🧵1/9
August 1, 2025 at 8:27 AM
Reposted by Marcus Ghosh
Preprint update: The new version of #SPARKS🎇 is out!
Everything's in here: sparks.crick.ac.uk
A thread on what changed 🧵👇
@flor-iacaruso.bsky.social @sdrsd.bsky.social @alexegeaweiss.bsky.social
#neuroskyence #NeuroAI #ML #BioInspiredAI
July 31, 2025 at 10:33 AM
Reposted by Marcus Ghosh
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...
www.imperial.ac.uk
July 25, 2025 at 1:27 PM
How can we best use AI in science?

Myself and 9 other research fellows from @imperial-ix.bsky.social use AI methods in domains from plant biology (🌱) to neuroscience (🧠) and particle physics (🎇).

Together we suggest 10 simple rules @plos.org 🧵

doi.org/10.1371/jour...
July 25, 2025 at 10:58 AM
Reposted by Marcus Ghosh
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! 🧵👇

🤖🧠🧪
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
We investigate the extent to which Spiking Neural Networks (SNNs) trained with Surrogate Gradient Descent (Surrogate GD), with and without delay learning, can learn from precise spike timing beyond fi...
arxiv.org
July 24, 2025 at 5:03 PM
Had a great time discussing multisensory integration @imrf.bsky.social!

And really enjoyed sharing our new work too
July 21, 2025 at 8:14 AM
Reposted by Marcus Ghosh
It’s been a minute (11 years) since my last @imrf.bsky.social
I’m excited to seeing all the great research.
And I’m delighted to give a talk on Friday about Rebecca Brady’s PhD new modelling studies in collab w @bizleylab.bsky.social and @jennycampos.bsky.social
1/2
www.biorxiv.org/content/10.1...
Modelling Audio-Visual Reaction Time with Recurrent Mean-Field Networks
Understanding how the brain integrates multisensory information during detection and decision-making remains an active area of research. While many inferences have been drawn about behavioural outcome...
www.biorxiv.org
July 15, 2025 at 10:34 AM