I built a Python workflow that lets me update BrainSTEM records by talking to an LLM instead of clicking through the browser one record at a time.

The hippocampus exhibits a CA3-to-CA1 coding transformation that combines fast learning with an efficient, compressed neural code.

High-throughput barcoded neuroanatomy of two closely related rodent species with divergent vocalizations reveals differences in long-range projection motifs in the brain that may s...

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Location: Heraklion, Crete, Greece Early registration and stipend applications deadline: 7 April 2026 Regular registration and abstract submission deadline (no further stipend applications accepted)…

Neuronal firing patterns have significant spatiotemporal variability with no agreed-upon theoretical framework. Using a combined experimental and mode…

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)

I walk through how I create a container image for use on the HPC, mainly as a note to myself.

All mice squeak, but only some sing. Scotinomys teguina, aka Alston’s singing mice, hail from the cloud forests of Costa Rica. More than 2,000 miles north, Cold Spring Harbor Laboratory (CSHL) neurosc...

From two avian neurobiologists, a captivating deep dive into the mechanisms that control avian behavior.The last few decades have produced extensive resear

Understanding how life is adapting to urban environments represents an important challenge in evolutionary biology. In this work, we investigate a widely cited example of urban adaptation, Culex pipie...

YouTube video by Weizmann Institute of Science

Fujishima and Long combine sound analysis with thermal imaging and position tracking in a semi-natural environment to demonstrate that singing mice (S. teguina) produce identifiable advertisement call...

I explore canonical correlation analysis—a matrix factorization method that links two data matrices—explaining how it works, how it relates conceptually to other methods, and how it can be applied in ...