The use of multivariate pattern classification in clinical developmental cognitive neuroscience

the effect of e-64 on the developmental competence of sheep cocs during in vitro maturation

in the present study, the effect of e-64 at different concentrations (0.5, 1, 5 and 10 µm) added to (1) the ivm medium on oocyte nuclear maturation and developmental competence of ovine oocytes, and (2) to the ivc medium on embryonic development of ovine embryos were investigated.

Applications of Multivariate Pattern Classification Analyses in Developmental Neuroimaging of Healthy and Clinical Populations

Analyses of functional and structural imaging data typically involve testing hypotheses at each voxel in the brain. However, it is often the case that distributed spatial patterns may be a more appropriate metric for discriminating between conditions or groups. Multivariate pattern analysis has been gaining traction in neuroimaging of adult healthy and clinical populations; studies have shown t...

Modeling developmental cognitive neuroscience.

In the past few years connectionist models have greatly contributed to formulating theories of cognitive development. Some of these models follow the approach of developmental cognitive neuroscience in exploring interactions between brain development and cognitive development by integrating structural change into learning. We describe two classes of these models. The first focuses on experience...

Developmental cognitive neuroscience

It is with a sense of excitement that we launch this new ournal. This feeling reflects not only an excitement about he field—the rapidly expanding body of knowledge about rain development—but also an enthusiastic anticipation bout the opportunities for this journal to contribute to the rowth and maturation of the rapidly emerging field. At the most straightforward level, the journal can proide ...

Handbook of Developmental Cognitive Neuroscience