Beautiful work and what a stunning image!

Jake Watson@jakefwatson.bsky.social · 4w ago

We have a new preprint! By studying neuronal heterogeneity in CA3, we found a weird but powerful new feature in the hippocampal circuitry! 🧠 #neuroskyence 🧵.. Morse-Mora et al. | Hippocampal CA3 forms a two-layer network of molecularly distinct cell types in mice and humans doi.org/10.64898/202...

🧪🧠 everyone learns CA3 as one big recurrent memory network. This @jakefwatson preprint says there’s a second, hidden layer inside it …..molecularly distinct, wired differently, conserved to humans. Excellent thread 👇

Jake Watson@jakefwatson.bsky.social · 4w ago

We have a new preprint! By studying neuronal heterogeneity in CA3, we found a weird but powerful new feature in the hippocampal circuitry! 🧠 #neuroskyence 🧵.. Morse-Mora et al. | Hippocampal CA3 forms a two-layer network of molecularly distinct cell types in mice and humans doi.org/10.64898/202...

If you're at #FENS2026 and are interested in (our) HUMAN brain, go and see this amazing symposium! ❤️🧠

Jake Watson@jakefwatson.bsky.social · last mo.

If you are at #FENS2026, we have a symposium on human circuits - from single cells and synapses to intact circuit function! It's not easy to investigate how our own brain works, but we will present recent work showing that it is possible at many scales. Wednesday afternoon at 15:40 - Hall E.

Come find us at #FENS2026 in Barcelona with @melisa-mc.bsky.social , Teresa and Violeta. Three posters, three views of hippocampal dynamics, from brain excitability to inhibitory circuits and ripple waveforms. 🧠 @fens.org @cncajal-csic.bsky.social

Don't miss this poster today in the afternoon! It's really exciting!!!!

Jake Watson@jakefwatson.bsky.social · last mo.

And we have exciting new data on CA3 circuit architecture across species. 🐁🐖⛹️‍♀️ The hippocampus has another surprising twist for us! If you want to hear more, come to Rebecca Morse-Mora's poster (PS02-07PM-553) on Tuesday afternoon, 14:00-17:30

A must-needed benchmarking👇🏼 How much is methodological and how much is conceptual? A reason for us developing #rippl-AI github.com/PridaLab/rip... Don’t miss the next hackathon avant-FENS pre-fens-brainhack.github.io/brainhack2026/ with @acnavasolive.bsky.social & @mattiachini.bsky.social

The Transmitter @thetransmitter.bsky.social · 2mo ago

Differences stemmed from the way researchers defined concepts, to the algorithms they used to analyze the data, to the parameters they employed when implementing the algorithms, note @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence www.thetransmitter.org/reproducibil...

the holy trinity: beach tapas and ephys reproducibility

International Brain Laboratory@intlbrainlab.bsky.social · 4mo ago

🧠💻 Join the Brainhack satellite at #FENS2026 (July 5)! ✨ Open to all - no FENS registration required 📆 Registration opens April 9 ⚠️ Limited to 100 spots (first come, first served) Learn more: pre-fens-brainhack.github.io/brainhack2026/ #Brainhack #OpenScience #Neuroscience

Neuroscientists in the Jonas group at ISTA, including first author Victor Vargas-Barroso, @jakefwatson.bsky.social, @acnavasolive.bsky.social, and Alois Schlögl, addressed exactly these concepts in the context of the hippocampus—the brain region that forms memories and guides spatial navigation.

🧠 Registration is OPEN for Brainhack @ #FENS2026 (July 5) Explore how different analysis choices shape results Open to all — no FENS reg needed ⚠️ 100 spots, first come Register: forms.gle/c9xDSSuFeRmY... #Brainhack #OpenScience #Neuroscience

If you are interested in systems neuroscience, learning about data analysis, or understanding how the conceptualization of analyses can influence results, join us for the Brainhack satellite event at #FENS2026! More info at: pre-fens-brainhack.github.io/brainhack2026/

Day 5 has an exciting lineup 🤩 @smikulovic.bsky.social talks about helping mice @nikolaskaralis.bsky.social neuromodulatory circuits @acnavasolive.bsky.social SWR across species And me 💁🏽‍♀️ about theta & movement #neuroscience #NeuralMechanismsofCognitiveFunction sites.google.com/isd.org.br/i...

Abhilasha Joshi, PhD@rhythmicspikes.bsky.social · last yr.

We are on for #Day4 at the #Neural Mechanisms of #cognitive Function at Pipa, Brazil 🇧🇷 Respecting local tradition the first session was ⚽️ 🏖️🏆🥇 Great to play with @melgaby.bsky.social after 8 years! (of course he’s as competitive as ever 😅) @jakefwatson.bsky.social @tristan-geiller.bsky.social ⭐️

Talk 19: Next up is @acnavasolive.bsky.social talking about her impressive research on sharp wave ripple analysis across species in health and disease. Andrea is a phenomenal computational neuroscientist 🤩 and I am so excited to hear her speak for the first time!

Cont.. @acnavasolive.bsky.social discussing important considerations for identifying hippocampal ripple events in a recording session and how a convolutional NNs might help their identification. ✅

This is a great application of our topological analysis of the iEEG waveform space to detect and differentiate interictal discharges, ripples and fast ripples in temporal lobe epilepsy in human. Don’t miss the 📝!! www.biorxiv.org/content/10.1... and the Github 👇🏼

Andrea Navas-Olive@acnavasolive.bsky.social · last yr.

In addition, to speed up the curation of the detected events, we have developed ripmap, a UMAP-aided semi-automatic tool that bases its efficacy on @lmprida.bsky.social lab’s work. ripmap can effectively remove falsely labeled IEDs, reducing manual curation by up to 45%! 👉 github.com/acnavasolive...

Here is our paper www.nature.com/articles/s41...

Topological analysis of sharp-wave ripple waveforms reveals input mechanisms behind feature variations - Nature Neuroscience

This study applies topological analysis to hippocampal ripple waveforms, uncovering a low-dimensional continuum that encodes layer-specific synaptic input information. It also reveals how ripple wavef...

nature.com

New preprint about SWRs, this time in HUMANS! 🤩 With @anna-maslarova.bsky.social and @JiyunShin, from @NYU, we’ve (i) developed a pipeline to analyze SWRs in intracranial EEG, and (ii) created ripmap, an open-source toolbox that allows versatile inspection and curation of events 🧵

Spatiotemporal Patterns Differentiate Hippocampal Sharp-Wave Ripples from Interictal Epileptiform Discharges in Mice and Humans

Hippocampal sharp-wave ripples (SPW-Rs) are high-frequency oscillations critical for memory consolidation in mammals. Despite extensive characterization in rodents, their application as biomarkers to ...

biorxiv.org

2025=(1+2+3+4+5+6+7+8+9)² = 1³+2³+3³+4³+5³+6³+7³+8³+9³. 👉🏼 elpais.com/ciencia/cafe...

More human neurophysiology out today from the Geiger Lab. *Analogue* neuronal output modifies synapses for consolidation during sleep states. With such beautiful data and interpretation it’s easy to forget that the recordings are heroically tough. Fantastic research from @fxmittermaier.bsky.social

Membrane potential states gate synaptic consolidation in human neocortical tissue - Nature Communications

Whether and how slow wave activity (SWA) and the underlying membrane potential UP and DOWN states initiate mechanisms that augment memory functions in humans are not fully understood. Here authors use...

nature.com

With @mojtabart.bsky.social, we applied this to human tissue, and saw that human CA3 cells appear to receive 5 times more DG inputs than mouse cells do! This finding has a lot of potential for powering up our idea of hippocampal computations.

Finally, we saw that dentate gyrus input to human CA3 (the ‘teaching’ signal) seemed very high. Luckily, we have @mojtabart.bsky.social and Hans Danzl as neighbours. Their incredible LICONN technology allows light microscopy based connectomics. See the preprint here: www.biorxiv.org/content/10.1...

Light-microscopy based dense connectomic reconstruction of mammalian brain tissue

The information-processing capability of the brain’s cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and res...

biorxiv.org

Using a Hopfield-like model, @acnavasolive.bsky.social showed that expanding brain size by increasing neuronal number (sparse connectivity) is far better for memory capacity than aiming for dense connectivity (and more inputs per cell). This has some interesting philosophy for brain scaling rules!

In a fantastic collaboration with Prof Karl Rössler (MedUniWien), we applied multicell patch-clamp to human hippocampus resected from epilepsy patients. Some samples show sclerosis (disease-led cell loss), but many are perfectly intact. This is the closest to 'wildtype’ human physiology we can get..

We explored CA3, which in theory stores and retrieves memories from interconnected ensembles of pyramidal neurons. With Victor Vargas-Barroso and Rebecca Morse, we looked for these networks using octopatch. From 8 patients and 56 slices we found just 10 connected pairs! (under 1% connectivity)..

To touch base with better characterised circuits, we recorded in neocortex and saw the same dense connectivity that @yangfanpeng.bsky.social, @alleninstitute.bsky.social and others see. In fact CA3 wasn’t just sparse, but gets sparser from mice to humans - opposite scaling to neocortical circuits!

We had the first view on human hippocampal synaptic pairs, and they look slow and integrating as we would expect (perfect for associations!). However they were also much more reliable and precise than seen in rodent research.

As you may expect, human neurons were larger than mouse cells, but spine density was a lot lower, so the number of inputs from other neurons in the recurrent network doesn’t change so much. Low spine density and reliable synapses have been seen in other brain areas, so may be human circuit features

A bigger difference between human and mouse brains is the number of neurons. This has gone up by about 17 times in CA3! By (very) simple maths, our anatomy data predicts connectivity in a random recurrent network to be pretty much in line with what we record experimentally for CA3 across species.

We think this explains the connectivity and circuit scaling between brain areas - dense local circuits in neocortex, while hippocampal CA3 forms something like one big recurrent network - perfect for associating all the hippocampus’ incoming info. Circuits made to measure!

Is neuroscience research really working to understand the human brain? Or do we get lost in mouse cognition? I’ve asked myself this a lot since starting to work with human tissue. Our first Jonas Lab foray into untangling human hippocampal circuits is now online! www.cell.com/cell/fulltex... 1/a few

Human hippocampal CA3 uses specific functional connectivity rules for efficient associative memory

Human hippocampal CA3 networks use sparse and broad synaptic connectivity, and their recurrent synapses employ reliability, precision, and long integration times to enhance memory capacity. Thus, the human hippocampus is distinct from both rodent counterparts and human neocortical circuits.

cell.com

Now that we’re on Bluesky, it’s a good time to bring back #badsciencedrawings – a collection of figures that prove that science is more science than art. Before Biorender, all we had was MS Paint and a dream. But ovals, lines, and lightning bolts were all we needed Morales-Botello et al., 2012