Attractor and integrator networks in the brain
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 …
describing how the brain maintains persistent activity states for working memory, corrects …
Computation through neural population dynamics
Significant experimental, computational, and theoretical work has identified rich structure
within the coordinated activity of interconnected neural populations. An emerging challenge …
within the coordinated activity of interconnected neural populations. An emerging challenge …
Distributed coding of choice, action and engagement across the mouse brain
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 …
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
A fundamental challenge in fluorescence microscopy is the photon shot noise arising from
the inevitable stochasticity of photon detection. Noise increases measurement uncertainty …
the inevitable stochasticity of photon detection. Noise increases measurement uncertainty …
The emergence and influence of internal states
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 …
profoundly shape perception, cognition, and action. The neural basis of internal states, such …
[HTML][HTML] Behaviorally consequential astrocytic regulation of neural circuits
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 …
throughout nervous systems of multiple species. Progress over the last two decades has …
Computational neuroethology: a call to action
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 …
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 …
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …
Bright and photostable chemigenetic indicators for extended in vivo voltage imaging
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 …
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 …
is representationally powerful, but complicates learning because it is difficult to identify the …