High-performance medicine: the convergence of human and artificial intelligence

Nature Medicine, Journal Year: 2018, Volume and Issue: 25(1), P. 44 - 56

Published: Dec. 28, 2018

Language: Английский

---

Spontaneous behaviors drive multidimensional, brainwide activity

Science, Journal Year: 2019, Volume and Issue: 364(6437)

Published: April 19, 2019

Neuron activity across the brain How is it that groups of neurons dispersed through interact to generate complex behaviors? Three papers in this issue present brain-scale studies neuronal and dynamics (see Perspective by Huk Hart). Allen et al. found thirsty mice, there widespread neural related stimuli elicit licking drinking. Individual encoded task-specific responses, but every area contained with different types response. Optogenetic stimulation thirst-sensing one reinstated drinking previously signaled thirst. Gründemann investigated mouse basal amygdala relation behavior during tasks. Two ensembles showed orthogonal exploratory nonexploratory behaviors, possibly reflecting levels anxiety experienced these areas. Stringer analyzed spontaneous firing, finding primary visual cortex both information motor facial movements. The variability responses mainly arousal reflects encoding latent behavioral states. Science , p. eaav3932 eaav8736 eaav7893 ; see also 236

Language: Английский

---

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Nature Protocols, Journal Year: 2019, Volume and Issue: 14(7), P. 2152 - 2176

Published: June 21, 2019

Language: Английский

---

Deep learning for cellular image analysis

Nature Methods, Journal Year: 2019, Volume and Issue: 16(12), P. 1233 - 1246

Published: May 27, 2019

Language: Английский

---

Single-trial neural dynamics are dominated by richly varied movements

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(10), P. 1677 - 1686

Published: Sept. 24, 2019

Language: Английский

---

A deep learning framework for neuroscience

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(11), P. 1761 - 1770

Published: Oct. 28, 2019

Language: Английский

---

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

Nature, Journal Year: 2019, Volume and Issue: 576(7786), P. 266 - 273

Published: Nov. 27, 2019

Language: Английский

---

Fast animal pose estimation using deep neural networks

Nature Methods, Journal Year: 2018, Volume and Issue: 16(1), P. 117 - 125

Published: Dec. 11, 2018

Language: Английский

---

Survey of spiking in the mouse visual system reveals functional hierarchy

Nature, Journal Year: 2021, Volume and Issue: 592(7852), P. 86 - 92

Published: Jan. 20, 2021

Language: Английский

---

PifPaf: Composite Fields for Human Pose Estimation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Journal Year: 2019, Volume and Issue: unknown

Published: June 1, 2019

We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited urban mobility such as self-driving cars and delivery robots. The method, PifPaf, uses Part Intensity Field (PIF) to localize body parts Association (PAF) associate with each other form full poses. Our outperforms previous methods at low resolution in crowded, cluttered occluded scenes thanks (i) our composite field PAF encoding fine-grained information (ii) the choice of Laplace loss regressions which incorporates notion uncertainty. architecture based on fully convolutional, single-shot, box-free design. perform par existing state-of-the-art standard COCO keypoint task produce results modified transportation domain.

Language: Английский

---