Learning is an ability of human beings, considered as a whole, to acquire new knowledge, not an ability of human organs considered individually.
Read More ›
His approach to neuroscience is very different from that of the Dalai Lama, who facilitates neuroscience research to better understand contemplation as a path to inner peace. Chen’s focus is more on developing virtual reality.
Read More ›
If teachers are rewarded for compliance with nonsense, what are they not rewarded for? While we cannot directly assess the difference that makes, it is a gap whose existence we must acknowledge.
Read More ›We also know very little about the human brain. Take this controversy about why the large human brain evolved…
Read More ›
The brain looks like a computer only if we analyze it as if it were a computer. Our analysis does not mean that it is a computer, and it does not mean that computation explains the mind or even that computational approaches to neuroscience provide genuinely meaningful insight into neurophysiology.
Read More ›
When pundits talk glibly of creating artificial minds or claim that consciousness is an illusion, it might help to remember that few predicted cases like this could exist and few thought that high tech diagnostics would lead to their discovery.
Read More ›
Those who tell us that we can learn to use our unconscious mind and those who tell us that it doesn’t exist both claim to speak for science. But this is no ordinary dispute. An ordinary dispute might be something like What killed the dinosaurs? Imagine instead a dispute between scientists who do and scientists who do not believe that dinosaurs have ever existed.
Read More ›
A cornerstone of the development of artificial intelligence is the pervasive assumption that machines can, or will, think. Watson, a question-answering computer, beats the best Jeopardy players, and anyone who plays chess has had the humiliation of being beaten by a chess engine. Does this mean that computers can think as well as (or better than) humans think?
Read More ›