Title |
Neural reactivations during sleep determine network credit assignment
|
---|---|
Published in |
Nature Neuroscience, July 2017
|
DOI | 10.1038/nn.4601 |
Pubmed ID | |
Authors |
Tanuj Gulati, Ling Guo, Dhakshin S Ramanathan, Anitha Bodepudi, Karunesh Ganguly |
Abstract |
A fundamental goal of motor learning is to establish the neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this 'credit assignment' problem. Using neuroprosthetic learning, in which we could control the causal relationship between neurons and behavior, we found that sleep-dependent processing was required for credit assignment and the establishment of task-related functional connectivity reflecting the casual neuron-behavior relationship. Notably, we observed a strong link between the microstructure of sleep reactivations and credit assignment, with downscaling of non-causal activity. Decoupling of spiking to slow oscillations using optogenetic methods eliminated rescaling. Thus, our results suggest that coordinated firing during sleep is essential for establishing sparse activation patterns that reflect the causal neuron-behavior relationship. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 18% |
Canada | 4 | 8% |
Netherlands | 2 | 4% |
Japan | 2 | 4% |
Germany | 2 | 4% |
Spain | 1 | 2% |
Portugal | 1 | 2% |
Switzerland | 1 | 2% |
Panama | 1 | 2% |
Other | 2 | 4% |
Unknown | 25 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 78% |
Scientists | 6 | 12% |
Science communicators (journalists, bloggers, editors) | 3 | 6% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 262 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 70 | 27% |
Researcher | 50 | 19% |
Student > Bachelor | 26 | 10% |
Student > Master | 24 | 9% |
Student > Doctoral Student | 17 | 6% |
Other | 34 | 13% |
Unknown | 41 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 93 | 35% |
Agricultural and Biological Sciences | 39 | 15% |
Medicine and Dentistry | 18 | 7% |
Psychology | 18 | 7% |
Computer Science | 11 | 4% |
Other | 37 | 14% |
Unknown | 46 | 18% |