Related Experiment Video
Updated: Jan 29, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
Published on: April 12, 2011
Optimality is critical when it comes to testing computation-level hypotheses
Laura S Geurts1, Andrey Chetverikov1, Ruben S van Bergen1
1Donders Institute for Brain, Cognition and Behavior,Radboud University Nijmegen,6525 EN Nijmegen,The Netherlands.a.bertana@donders.ru.nla.chetverikov@donders.ru.nljanneke.jehee@donders.ru.nll.geurts@donders.ru.nlr.vanbergen@donders.ru.nly.zhou@donders.ru.nlwww.jeheelab.org.
Abstract:
We disagree with Rahnev & Denison (R&D) that optimality should be abandoned altogether. Rather, we argue that adopting a normative approach enables researchers to test hypotheses about the brain's computational goals, avoids just-so explanations, and offers insights into function that are simply inaccessible to the alternatives proposed by R&D.
More Related Videos
Related Concept Videos
Critical Region, Critical Values and Significance Level
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
Null and Alternative Hypotheses
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
Critical Values
Critical Thinking I
Critical Thinking II
Critical Thinking
Colleges and universities are...

