Emma Roscow

@emmaroscow.bsky.social

Machine learning @ Visible Health | ex-neuroscience-postdoc who still dabbles

📣New paper! How does the sleeping brain help us to integrate new experiences while managing memories from the past? For his PhD work, @sabbaspoor.bsky.social recorded hippocampal ensembles in freely moving monkeys and found something unexpected. 🧵1/n www.nature.com/articles/s41... 🧪🧠📈👩‍🔬#OpenAccess

Experience reorganizes content-specific memory traces in macaques - Nature Neuroscience

In macaques, old memories, relative to new ones, are supported by more stable and interconnected cell assemblies. New-biased and old-biased assemblies reactivate during overnight sleep and can sometim...

nature.com

Why does dopamine ramp up during approach to predictable rewards? In this preprint with Luke Priestley, we explore the idea that dopamine ramps occur when reward predictions inferred using a world-model are used to train striatal cached values.

Dopamine ramps as a normative consequence of dual-process control

Midbrain dopamine neurons are thought to implement a temporal difference (TD) reward prediction error (RPE) that updates cached values stored in striatum. This has been challenged by evidence that dop...

biorxiv.org

1/ We work hard to factor "noise" out of behavior. But the brain doesn't. Strip away noise and you may miss what the brain evolved to do I wanted to share this pre-Bluesky paper where we found premotor (M2) corticostriatal circuits encode a broad history of behavior, beyond just action + reward 👇

Information normally considered task-irrelevant drives decision-making and affects premotor circuit recruitment - Nature Communications

Prior experience is used by the brain to guide adaptive behaviour during decision making. Here, the authors show that mice also selectively use information learned through recent and longer-term exper...

nature.com

I didn’t expect a short video about an octopus to stay with me this long. At first, it looks like a simple, almost playful interaction. But the more you watch, the more something deeper emerges: a learning process unfolding between two completely different forms of intelligence. 🧵 1/

Manlio De Domenico@manlius.bsky.social · 5mo ago

What a nice story about this learning process and this beautiful yet unconventional human-octupus interaction! youtu.be/PcWnQ7fYzwI?...

First off, these cells are gigantic. This one, for example, has >72 cm of axon! To our knowledge, it’s the longest neuron ever fully reconstructed. I leave it to the reader as an exercise to estimate the length of a human LC neuron. 5

The complete morphology of a single LC-NE neuron.

New preprint from my lab! We study how reinforcement learning & selective attention interact. To do so, we built a set of models describing different ways that value & reward prediction error can modulate top-down attention. We compare model outcomes to monkey data from a color value learning task

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 5mo ago

Modulation of feature attention by reward prediction error explains value learning behavior https://www.biorxiv.org/content/10.64898/2026.04.10.717847v1

Cortical circuits are often thought to be specialized, but the same large-scale activity patterns can arise from different circuit architectures. In other words, different instruments can play the same tune, and the same instrument can sometimes play different tunes. www.cell.com/neuron/fullt...

Linking neural manifolds to circuit structure in recurrent networks

Neural population activity can be described either by low-dimensional dynamics on neural manifolds or by single-neuron selectivities. Using a theoretical approach, Pezon et al. relate these two statis...

cell.com

The supplementary videos for this preprint are fantastic. Some wild examples of decoding the animal's attentional focus and/or intent www.biorxiv.org/content/10.6...

Attention-like regulation of theta sweeps in the brain's spatial navigation circuit

Spatial attention supports navigation by prioritizing information from selected locations. A candidate neural mechanism is provided by theta-paced sweeps in grid- and place-cell population activity, which sample nearby space in a left-right-alternating pattern coordinated by parasubicular direction signals. During exploration, this alternation promotes uniform spatial coverage, but whether sweeps can be flexibly tuned to locations of particular interest remains unclear. Using large-scale Neuropixels recordings in freely-behaving rats, we show that sweeps and direction signals are rapidly and dynamically modulated: they track moving targets during pursuit, precede orienting responses during immobility, and reverse during backward locomotion — without prior spatial learning. Similar modulation occurs during REM sleep. Canonical head-direction signals remain head-aligned. These findings identify sweeps as a flexible, attention-like mechanism for selectively sampling allocentric cognitive maps. ### Competing Interest Statement The authors have declared no competing interest. European Research Council, Synergy Grant 951319 (EIM) The Research Council of Norway, Centre of Neural Computation 223262 (EIM, MBM), Centre for Algorithms in the Cortex 332640 (EIM, MBM), National Infrastructure grant (NORBRAIN, 295721 and 350201) The Kavli Foundation, https://ror.org/00kztt736 Ministry of Science and Education, Norway (EIM, MBM) Faculty of Medicine and Health Sciences; NTNU, Norway (AZV)

biorxiv.org

Edvard I Moser@edvardmoser.bsky.social · 8mo ago

The hippocampal map has its own attentional control signal! Our new study reveals that theta #sweeps can be instantly biased towards behaviourally relevant locations. See 📹 in post 4/6 and preprint here 👉 www.biorxiv.org/content/10.6... 🧵(1/6)