Status Updates From What Babies Know: Core Know...

Ah canım bebekler 😊
Eğer bebeklerle ve çocuklarla ilgili bir uzmanlığınız var ise veya o yönde bir kariyer inşaa edecekseniz alın okuyun.
hayatımın sonuna kadar bebeklerle ve çocuklarla ilgilendiğim bir hayatımın, bir mesleğimin olmasını diliyorum.

This book is very dense. Slow slow read.

Has human evolution given infants, alone among the animals, a way to build on the two blessings of abstraction, while reversing the curse of a compositional mind?

Education in mathematics enhances the precision of non-symbolic number representations. Variations in the precision and functioning of non-symbolic number representations predict children's mastery of new material in symbolic mathematics.

Physics engines, like human observers, economize on physical reasoning by assuming that resting objects will remain unchanged unless some moving object hits them.

Newtonian mechanics treats states of rest and of uniform motion as equivalent, but physics engines do not. Because simulations of object motion are computationally costly, physics engines recompute object positions over successive times when objects move but not when they are at rest.

Recent research provides suggestive evidence that alternating cycles of synthesis, implemented in a symbolic, probabilistic computer program like a graphics engine, and of analysis, implemented in an artificial neural network, can account for the response properties of the three primary cortical areas that represent faces in monkey brains (Yildirim et al., 2020).

Although the sources and functions of their prenatal activity are not know, the existence of such activity suggests that fetal brains could, in principle, be furnished with ancient, generative systems like graphic engines.