High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology
A major goal in neuropharmacology is to develop new tools to effectively test the therapeutic potential of pharmacological agents to treat neurological and psychiatric conditions. Here, authors present an in vivo drug screening system that generates large-scale brain activity maps to be used with ma...
Main Authors: | Xudong Lin, Xin Duan, Claire Jacobs, Jeremy Ullmann, Chung-Yuen Chan, Siya Chen, Shuk-Han Cheng, Wen-Ning Zhao, Annapurna Poduri, Xin Wang, Stephen J. Haggarty, Peng Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2018-12-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-07289-5 |
Similar Items
-
Few-shot meta-learning applied to whole brain activity maps improves systems neuropharmacology and drug discovery
by: Xuan Luo, et al.
Published: (2024-10-01) -
Neuropharmacology of performance monitoring.
by: Jocham, G, et al.
Published: (2009) -
Neuropharmacology of Antiseizure Drugs
by: Tahir Hakami
Published: (2021-09-01) -
Editorial: Women in neuropharmacology 2023
by: Paola Sacchetti
Published: (2024-07-01) -
Neuropharmacologic Approaches to Cognitive Rehabilitation
by: Reva Klein, et al.
Published: (2006-01-01)