Rivlin Lab retweeted
New preprint from our lab on 3‑photon microscopy with deep, fast, Ca-imaiging on a large field of view. It started with @a_negrean and @tgeiller and was led by an outstanding student, Tiberiu Mihaila, with major collaboration with
@DarcyPeterka.
biorxiv.org/content/10.64898…
Rivlin Lab retweeted
Really cool new paper from @NadineGogolla's lab showing that cardiac signals are transiently and precisely encoded in posterior insula neurons, with tuning strongest around systole and enhanced during emotional states. Beta-1 blockade disrupted this cardio-insular coupling and degraded emotion-state coding. Important implications for how bodily signals help shape emotion, interoceptive inference, and dynamic brain-heart coupling. biorxiv.org/content/10.64898…
Rivlin Lab retweeted
Want to explore connectivity & projection patterns yourself, like we do here? We released brain_street_view to let you pick any injection site in the Allen Connectivity Atlas and visualize where it projects in your favorite region of interest: github.com/Julie-Fabre/brain…
How do the basal ganglia turn what you see into what you do?
New preprint w/ @kennethd_harris, @flicker_fusion & Matteo Carandini: we recorded across striatum, GPe & SNr in a Go/No-Go task. Striatum encodes which stimulus, GPe & SNr encode whether to act.
biorxiv.org/content/10.64898…
Rivlin Lab retweeted
🚨Paper Alert🚨 After 4(!!!) years of revisions, the amazing @KetiCohen & team pushed out this beauty💪 Unlike what the textbooks say, V1 binocularity is not fixed: at high arousal, binocularity decreases while the strength of peripheral vision increases. nature.com/articles/s41467-0…
Rivlin Lab retweeted
In Nature Electronics, we present BISC with Ken Shepard, @peabody124 & others: an ultrathin brain–computer interface chip with 65,536 electrodes, 1,024 channels, and ~100× higher bandwidth at 100 Mbit/s. A bidirectional platform toward future neocortex–AI 'exocortex' systems. nature.com/articles/s41928-0…
Rivlin Lab retweeted
A simple guide to understanding how neurons make neurotransmitters
Your brain has different classes of neurons, each defined by the chemical messenger (neurotransmitter) they release. These transmitters are built from specific precursors using unique enzymes and cofactors.
1️⃣ Cholinergic Neurons (green)
Main transmitter: Acetylcholine (ACh).
Source: Built from acetyl-CoA and choline.
Special enzyme: ChAT (choline acetyltransferase).
🟢 Example: These neurons drive muscle contraction and attention.
2️⃣ GABAergic Neurons (blue)
Main transmitter: GABA (gamma-aminobutyric acid).
Source: Derived from glutamate.
Special enzyme: GAD (glutamate decarboxylase).
🟢 Example: GABA is the brain’s main “calm-down” signal.
3️⃣ Glutamatergic Neurons (orange)
Main transmitter: Glutamate.
Source: Recycled from other cells and stored in vesicles.
🟢 Example: Glutamate is the brain’s main “go” signal for learning and memory.
4️⃣ Serotonergic Neurons (green-teal)
Main transmitter: Serotonin (5-HT).
Source: Made from tryptophan → 5-HTP → serotonin.
Special enzymes: TPH (tryptophan hydroxylase), DDC (decarboxylase).
Cofactor: BH₄ (tetrahydrobiopterin)
🟢 Example: Serotonin regulates mood, sleep, and appetite.
5️⃣ Dopaminergic Neurons (light blue)
Main transmitter: Dopamine.
Source: Made from tyrosine → L-DOPA → dopamine.
Special enzyme: TH (tyrosine hydroxylase), DDC.
Cofactor: BH₄.
🟢 Example: Dopamine drives motivation, reward, and movement.
6️⃣ Noradrenergic / Octopaminergic Neurons (red)
Main transmitter: Norepinephrine (mammals) or Octopamine (in invertebrates).
Source: Derived from tyrosine/tyramine.
Special enzyme: TBH (tyramine β-hydroxylase).
Cofactor: BH₄.
🟢 Example: Linked to arousal and “fight or flight.”
7️⃣ Tyraminergic Neurons (orange-brown)
Main transmitter: Tyramine.
Source: Made from tyrosine → tyramine.
Special enzyme: TDC (tyrosine decarboxylase).
🟢 Example: Acts as a trace amine, modulating dopamine and serotonin systems.
Supporting Pathways (Panels B & C):
Acetyl-CoA production (B): from the citric acid cycle, provides building blocks for acetylcholine.
BH₄ synthesis (C): a critical cofactor for making serotonin, dopamine, and norepinephrine.
Each neurotransmitter system has its own “assembly line”: specific precursors, enzymes, and cofactors. Together, they form the brain’s chemical language — acetylcholine for movement and attention, glutamate and GABA for balance, and monoamines (serotonin, dopamine, norepinephrine) for mood, reward, and arousal.
Rivlin Lab retweeted
Arousal as a universal embedding for spatiotemporal brain dynamics
Preprint: biorxiv.org/content/10.1101/…
nature.com/articles/s41586-0…
Rivlin Lab retweeted
Our fluorescence lifetime photometry at high temporal resolution (FLIPR) paper is now online at Neuron. FLIPR allows for fast (10Hz-1 kHz) and slow (min-hrs) measurement of absolute neuronal signals in freely moving mice. We highlight the utility by measuring tonic and phasic DA.
Online now: Absolute measurement of fast and slow neuronal signals with fluorescence lifetime photometry at high temporal resolution dlvr.it/TN1Sqp
Rivlin Lab retweeted
A real-time all-optical interface for dynamic perturbation of neural activity during behavior: sciencedirect.com/science/ar…
Real-time interface that integrates CaImAn for online calcium imaging analysis, and a custom hologram program for two-photon optogenetic stimulation.
Rivlin Lab retweeted
A pair of papers on using holographic optogenetics and compressed sensing for connectomics
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
nature.com/articles/s41593-0…
Rivlin Lab retweeted
Nature
A compressed hierarchy for visual form processing in the tree shrew
nature.com/articles/s41586-0…
Rivlin Lab retweeted
Thrilled to share that our work is now published in @ScienceMagazine!✨
We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass!🧭
science.org/doi/10.1126/scie…
🧵1/
Rivlin Lab retweeted
The human brain synchronizes visual signals by adjusting axonal conduction speed in the retina—revealing a previously unknown mechanism for precise perceptual timing
@Annalis43262927 @FelixFranke7 @IOB_ch
nature.com/articles/s41593-0…
Rivlin Lab retweeted
Next-generation phenotyping of inherited retinal diseases: Eye2Gene (AI-driven algorithm). Better-than-expert accuracy for 63 common genetic causes.
@ucl @npontikos @GeoMichalis @MaximilianPfau3 @sktywagner @riksag @KonBalaskas #NIH
@NatMachIntell: brnw.ch/21wUfkJ
![Eye2Gene provides IRD-gene prediction given a retinal scan of one of three imaging modalities (FAF, IR or SD-OCT) for up to 63 gene classes. Images are initially resized to 256 by 256 pixels and rescaled to the range [0,1]. Each image modality-specific predictor block consists of an ensemble of five CoAtNet neural networks. The outputs are averaged to produce a final prediction output. The performance of Eye2Gene is evaluated on a held-out internal test dataset from MEH consisting of 28,174 images acquired from 524 patients over 9,291 patient visits since 2006.](https://pbs.twimg.com/media/GwI37RLXoAEmXLH.jpg?name=small&format=webp)
ALT Eye2Gene provides IRD-gene prediction given a retinal scan of one of three imaging modalities (FAF, IR or SD-OCT) for up to 63 gene classes. Images are initially resized to 256 by 256 pixels and rescaled to the range [0,1]. Each image modality-specific predictor block consists of an ensemble of five CoAtNet neural networks. The outputs are averaged to produce a final prediction output. The performance of Eye2Gene is evaluated on a held-out internal test dataset from MEH consisting of 28,174 images acquired from 524 patients over 9,291 patient visits since 2006.
Rivlin Lab retweeted
Karl and I wrote a short opinion piece on the importance of comparative neuroscience
To identify fundamental neuroscientific principles that generalize across species, systems and circuits, neuroscientists must embrace an evolutionary perspective, argue Karl Farrow and @KatjaReinhard.
thetransmitter.org/systems-n…
Rivlin Lab retweeted
Vision shapes representations of space in the hippocampus, whether you are a bird or a primate. It is sensory ecology doing its job...
nature.com/articles/s41586-0…
Rivlin Lab retweeted
Our latest work is out today in @NeuroCellPress
. Using voltage imaging, we clarified how serotonergic neurons compute action effectiveness during learning behavior. With Ravid Haruvi, @zq_wei and @MishaAhrens
sciencedirect.com/science/ar…
Rivlin Lab retweeted
Now out in NatComms: Mice and monkeys spontaneously shift through comparable cognitive states - and it's written all over their faces! (1/7)
nature.com/articles/s41467-0…
Rivlin Lab retweeted
65 years after Lettvin’s bug detector neurons in the frog retina, we revisit how the retina drives behavior—from reflexes to prey capture to brain-state modulation
New review with @AnnaIntegrated & Serena Riccitelli in Annual Review of Vision Science 👇
tinyurl.com/ymp3vs4d
Rivlin Lab retweeted
The ON/OFF dichotomy is fundamental to visual processing. In a new study led by Flori Soto, we identify a conserved molecular mechanism establishing the OFF pathway. rdcu.be/eikoa
































