Computational and systems neuroscience: The next 20 years - PMC

Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models.

Over the past 20 years, neuroscience has been propelled forward by theory-driven experimentation. We consider the future outlook for the field in the age of big neural data and powerful artificial intelligence models. What does the future of neuroscience look like in the age of big neural data and advanced AI models. In this Perspective, the authors advocate for new approaches that combine the merits of data-driven model discovery and hypothesis-driven model comparison. This article is part of the PLOS Biology 20th Anniversary Collection. PLOS Biology was first published in 2003. That…

saved by

• Alima Deen

related reading

• Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?thetransmitter.org
• Mechanistic Interpretability: A Challenge Common to Both Artificial and Biological Intelligencekempnerinstitute.harvard.edu
• Introduction — Neuromatch Academy: Computational Neurosciencecompneuro.neuromatch.io
• The Future of the Brain, past and presentneuroai.science
• Neuroscience is pre-paradigmatic. Consciousness is whytheintrinsicperspective.com
• Cowley group at CSHLcowleygroup.cshl.edu
• A deep learning framework for neuroscience - PMCncbi.nlm.nih.gov
• Neurdiness Blog | Grace W. Lindsay | Computational Neuroscientist | Page 2gracewlindsay.com
• Research - Redwood Center for Theoretical Neuroscienceredwood.berkeley.edu
• [2004.07580] If deep learning is the answer, then what is the question?arxiv.org
• Home | Physics Of Learningphysicsoflearning.org
• VS265: Neural Computation - Fall 2024 - Redwood Center for Theoretical Neuroscienceredwood.berkeley.edu