Journal
TRENDS IN COGNITIVE SCIENCES
Volume 22, Issue 12, Pages 1091-1102Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2018.09.002
Keywords
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Funding
- NIH [NIMH R01-MH117763, NIDA R21-DA041791, NIMH R01-MH097990]
- NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH117763, R01MH097990] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON DRUG ABUSE [R21DA041791] Funding Source: NIH RePORTER
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An intrinsic difficulty in studying cognitive processes is that they are unobservable states that exist in between observable responses to the sensory environment. Cognitive states must be inferred from indirect behavioral measures. Neuroscience potentially provides the tools necessary to measure cognitive processes directly, but it is challenged on two fronts. First, neuroscientific measures often lack the spatiotemporal resolution to identify the neural computations that underlie a cognitive process. Second, the activity of a single neuron, which is the fundamental building block of neural computation, is too noisy to provide accurate measurements of a cognitive process. In this paper, I examine recent developments in neurophysiological recording and analysis methods that provide a potential solution to these problems.
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