Adolphs R. The unsolved problems of neuroscience. Trends in Cognitive Sciences. http://www.cell.com/trends/cognitive-sciences/abstract/S1364-6613(15)00023-6
Some problems in neuroscience are nearly solved. For others, solutions are decades away. The current pace of advances in methods forces us to take stock, to ask where we are going, and what we should research next.
Problems that are solved, or soon will be:
I. How do single neurons compute?
II. What is the connectome of a small nervous system, like that of Caenorhabitis elegans (300 neurons)?
III. How can we image a live brain of 100,000 neurons at cellular and millisecond resolution?
IV. How does sensory transduction work?
Problems that we should be able to solve in the next 50 years:
V. How do circuits of neurons compute?
VI. What is the complete connectome of the mouse brain (70,000,000 neurons)?
VII. How can we image a live mouse brain at cellular and millisecond resolution?
VIII. What causes psychiatric and neurological illness?
IX. How do learning and memory work?
X. Why do we sleep and dream?
XI. How do we make decisions?
XII. How does the brain represent abstract ideas?
Problems that we should be able to solve, but who knows when:
XIII. How does the mouse brain compute?
XIV. What is the complete connectome of the human brain (80,000,000,000 neurons)?
XV. How can we image a live human brain at cellular and millisecond resolution?
XVI. How could we cure psychiatric and neurological diseases?
XVII. How could we make everybody’s brain function best?
Problems we may never solve:
XVIII. How does the human brain compute?
XIX. How can cognition be so flexible and generative?
XX. How and why does conscious experience arise?
Meta-questions:
XXI. What counts as an explanation of how the brain works? (and which disciplines would be needed to provide it?)
XXII. How could we build a brain? (how do evolution and development do it?)
XXIII. What are the different ways of understanding the brain? (what is function, algorithm, implementation?)
Some problems in neuroscience are nearly solved. For others, solutions are decades away. The current pace of advances in methods forces us to take stock, to ask where we are going, and what we should research next.
Problems that are solved, or soon will be:
I. How do single neurons compute?
II. What is the connectome of a small nervous system, like that of Caenorhabitis elegans (300 neurons)?
III. How can we image a live brain of 100,000 neurons at cellular and millisecond resolution?
IV. How does sensory transduction work?
Problems that we should be able to solve in the next 50 years:
V. How do circuits of neurons compute?
VI. What is the complete connectome of the mouse brain (70,000,000 neurons)?
VII. How can we image a live mouse brain at cellular and millisecond resolution?
VIII. What causes psychiatric and neurological illness?
IX. How do learning and memory work?
X. Why do we sleep and dream?
XI. How do we make decisions?
XII. How does the brain represent abstract ideas?
Problems that we should be able to solve, but who knows when:
XIII. How does the mouse brain compute?
XIV. What is the complete connectome of the human brain (80,000,000,000 neurons)?
XV. How can we image a live human brain at cellular and millisecond resolution?
XVI. How could we cure psychiatric and neurological diseases?
XVII. How could we make everybody’s brain function best?
Problems we may never solve:
XVIII. How does the human brain compute?
XIX. How can cognition be so flexible and generative?
XX. How and why does conscious experience arise?
Meta-questions:
XXI. What counts as an explanation of how the brain works? (and which disciplines would be needed to provide it?)
XXII. How could we build a brain? (how do evolution and development do it?)
XXIII. What are the different ways of understanding the brain? (what is function, algorithm, implementation?)
