Bicanski proposes an algorithm and neural mechanisms for the iterative construction of abstract cognitive maps via non-local inference. Map positions are triangulated and memorized by a set of extant ...

​ ​Animals must make crucial behavioural choices on a minute by minute basis to survive in a changing environment. A long-standing enigma is, how are alternative options evaluated in the brain...

Brains rely on internal models of the world to interpret sensory input and to simulate the future. In the mammalian hippocampal-entorhinal network, environments are represented by cognitive maps that ...

The authors use recurrent neural networks to predict how structured prior experience shapes neural dynamics as mice learn flexible timing strategies during complex context-dependent behavior.

When preparing a scientific paper, we typically write with coauthors who have different backgrounds and styles, and we target readers who have little time and patience. To help both readers and writer...

Efficient navigation requires prioritizing information from behaviorally relevant locations. In rats, such selective sampling may arise from theta-paced sweeps in grid and place cell populations, whic...

Forgotten memories in Drosophila persist as silent memory traces and can be recovered by reminder cues. Manipulating reminders can create false memories, showing that memory reconstruction flexibly in...

Functional heterogeneity of dorsal raphe nucleus is not fully understood. Here authors show topographically organized sensory and locomotor responses from the zebrafish dorsal raphe and its forebrain ...

Excitatory synaptic scaling regulates network dynamics by proportionally adjusting excitatory synaptic strengths after sensory perturbations. During associative learning, blocking excitatory scaling i...

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

Neuropsychopharmacology - Lasting effects of early-life oxytocin treatment on LTP and episodic memory in a mouse model of Fragile X syndrome

Pouget et al. identified distinct CA1 neuron ensembles active during specific moments of fear learning and uncovered the core engram essential for memory formation.

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)

Benoit, Ganea et al. show that changes in axon initial segment (AIS) length in the prefrontal cortex of mice accompany fear learning and extinction, revealing AIS plasticity as a key feature of neuron...

Brain-body interactions are essential for physical and emotional homeostasis. The brain uses information from the external world to predict upcoming bodily changes. This process involves interoceptive...

In this paper, we argue that Predictive Processing cannot be a unifying account of cognition until it can explain infant development. We show why development is crucial for understanding human cognit...

A systems-level understanding of cortical computation requires insight into how neural codes are transformed across distinct brain circuits. In the mammalian cortex, one of the few systems where such ...