Attractor and integrator networks in the brain

M Khona, IR Fiete - Nature Reviews Neuroscience, 2022 - nature.com
In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Computation through neural population dynamics

S Vyas, MD Golub, D Sussillo… - Annual review of …, 2020 - annualreviews.org
Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …

Distributed coding of choice, action and engagement across the mouse brain

NA Steinmetz, P Zatka-Haas, M Carandini, KD Harris - Nature, 2019 - nature.com
Vision, choice, action and behavioural engagement arise from neuronal activity that may be
distributed across brain regions. Here we delineate the spatial distribution of neurons …

Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit

X Li, Y Li, Y Zhou, J Wu, Z Zhao, J Fan, F Deng… - Nature …, 2023 - nature.com
A fundamental challenge in fluorescence microscopy is the photon shot noise arising from
the inevitable stochasticity of photon detection. Noise increases measurement uncertainty …

The emergence and influence of internal states

SW Flavell, N Gogolla, M Lovett-Barron, M Zelikowsky - Neuron, 2022 - cell.com
Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …

[HTML][HTML] Behaviorally consequential astrocytic regulation of neural circuits

J Nagai, X Yu, T Papouin, E Cheong, MR Freeman… - Neuron, 2021 - cell.com
Astrocytes are a large and diverse population of morphologically complex cells that exist
throughout nervous systems of multiple species. Progress over the last two decades has …

Computational neuroethology: a call to action

SR Datta, DJ Anderson, K Branson, P Perona, A Leifer - Neuron, 2019 - cell.com
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …

[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 …

Bright and photostable chemigenetic indicators for extended in vivo voltage imaging

AS Abdelfattah, T Kawashima, A Singh, O Novak, H Liu… - Science, 2019 - science.org
Genetically encoded voltage indicators (GEVIs) enable monitoring of neuronal activity at
high spatial and temporal resolution. However, the utility of existing GEVIs has been limited …

Random synaptic feedback weights support error backpropagation for deep learning

TP Lillicrap, D Cownden, DB Tweed… - Nature …, 2016 - nature.com
The brain processes information through multiple layers of neurons. This deep architecture
is representationally powerful, but complicates learning because it is difficult to identify the …