Sleep—A brain-state serving systems memory consolidation

S Brodt, M Inostroza, N Niethard, J Born - Neuron, 2023 - cell.com
Although long-term memory consolidation is supported by sleep, it is unclear how it differs
from that during wakefulness. Our review, focusing on recent advances in the field, identifies …

The structures and functions of correlations in neural population codes

S Panzeri, M Moroni, H Safaai… - Nature Reviews …, 2022 - nature.com
The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …

Geometry of abstract learned knowledge in the hippocampus

EH Nieh, M Schottdorf, NW Freeman, RJ Low… - Nature, 2021 - nature.com
Hippocampal neurons encode physical variables,,,,,–such as space or auditory frequency in
cognitive maps. In addition, functional magnetic resonance imaging studies in humans have …

[HTML][HTML] Large-scale two-photon calcium imaging in freely moving mice

W Zong, HA Obenhaus, ER Skytøen, H Eneqvist… - Cell, 2022 - cell.com
We developed a miniaturized two-photon microscope (MINI2P) for fast, high-resolution,
multiplane calcium imaging of over 1,000 neurons at a time in freely moving mice. With a …

Geometric deep learning enables 3D kinematic profiling across species and environments

TW Dunn, JD Marshall, KS Severson, DE Aldarondo… - Nature …, 2021 - nature.com
Comprehensive descriptions of animal behavior require precise three-dimensional (3D)
measurements of whole-body movements. Although two-dimensional approaches can track …

If deep learning is the answer, what is the question?

A Saxe, S Nelli, C Summerfield - Nature Reviews Neuroscience, 2021 - nature.com
Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons

B Engelhard, J Finkelstein, J Cox, W Fleming, HJ Jang… - Nature, 2019 - nature.com
There is increased appreciation that dopamine neurons in the midbrain respond not only to
reward and reward-predicting cues,, but also to other variables such as the distance to …

[图书][B] Dynamic mode decomposition: data-driven modeling of complex systems

The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …

Space and time: the hippocampus as a sequence generator

G Buzsáki, D Tingley - Trends in cognitive sciences, 2018 - cell.com
Neural computations are often compared to instrument-measured distance or duration, and
such relationships are interpreted by a human observer. However, neural circuits do not …

Neural tuning and representational geometry

N Kriegeskorte, XX Wei - Nature Reviews Neuroscience, 2021 - nature.com
A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …