《巫启贤直播间：深入浏览巫启贤资料与个人生活》

在本篇文章中，我们将精彩地探索一位全球闻名的TED主持人巫启贼——巫启贼资料与巫启贼个人直播间。本文将深入分析他在启发思绪的TED主持演讲，以及他如何通过直播平台展现自己的生活和工作实践，为我们提� Written by Kevin McCallum

I'm an evolutionary biologist who studies the role of natural selection in shaping brain evolution. Here, I look at how much brain power animals need to adapt and thrive on earth.

The human brain is famously large; our brains contain 73 billion neurons—compared with fewer than 10 billion in dogs or cats. So what does a bigger brain get you? Many would say that it simply gets more thinking power, but this isn't true: the size of an animal's cortex (the outer layer of its brain) is not necessarily indicative of how smart they are.

What can we learn about intelligence by looking at different species with large brains? The answer might lie in a particular area called 'magic'. Magic, or what scientists call 'cognitive magic', refers to the ability to use memory and anticipation to solve problems without trial-and-error learning. Cognitive magicians are able to remember the location of hidden food and objects; they can plan their actions in order to gain rewards while avoiding danger; they're even able to recognize patterns in nature that allow them to predict how an object will move next.

For instance, some bird species have learned a clever trick called 'nut cracking', whereby they use sticks and stones to access the nutritious seeds inside hard-shelled nuts. This feat requires foresight, dexterity, and planning—a lot of mental skill! However, not all birds with large brains can crack a single nut on their own; only one species - the New Caledonian Crow - is able to use tools without human assistance.

But if we consider other animals like dolphins or elephants, which have comparably larger brains than crows but are not cognitive magicians in this sense, what does that mean for intelligence? One thing it might suggest is that there's no single answer to the question of 'how big a brain makes you smart'.

To get closer at understanding this complex relationship between brain size and intelligence, I use computer simulations. By using mathematical models, I can explore how various traits (such as brain size) interact with other factors in determining animal intelligence—for instance, social life or ecological demands. These studies have revealed a fascinating fact: the most successful species are not necessarily those with the largest brains; rather, their success is due to them being able to use existing cognitive skills for different purposes (like using 'magic').

In short, brain size doesn't tell us everything about an animal's intelligence. In order to better understand this relationship we must study how animals behave in real-life situations and compare these behaviors between species that share similar body plans or ecological niches. We must also develop new ways of measuring cognitive ability, rather than relying on brain size alone.

Furthermore, if our goal is to learn about the origins of human intelligence, we should focus more on understanding what makes animal brains successful in their environments and less on whether one species has a bigger head than another. By combining experimental evidence with sophisticated computer models, researchers can gain insights into how evolution shapes brain size and cognition—and perhaps unravel the mystery of our own uniquely large-brained existence!

Bioinformatics is an exciting field that uses computational tools to understand biological information. The work I'm doing on understanding intelligence through computer models allows me to collaborate with other scientists who use similar approaches in different areas, such as genomics and proteomics. It also gives me the opportunity to share my research and findings with a wider audience of biologists working on various topics related to brain evolution—and perhaps even contribute some ideas about how our own big brains evolved!

So what's next for this line of inquiry? The study of intelligence in animals is still in its infancy, but as new tools and methodologies become available, I hope we will be able to make progress. For example, using technological advances such as neuroimaging or electroencephalography (EEG), we can now measure brain activity directly—and this could provide valuable information about which areas of the cortex are being used during different kinds of problem-solving tasks. By combining these measurements with our computer simulations and other methods, I believe that researchers will continue to gain a deeper understanding of how brains evolved—which may lead to new insights into human intelligence as well!

And finally, one area where my work intersects quite nicely is the emerging field of neuroethology: the study of brain and behavior. Neuroethologists often use comparative studies between species in order to learn about neural mechanisms underlying natural behaviors (such as how a bird might remember the location of food). This approach could provide further insights into animal intelligence, as well as inform our understanding of human cognition—especially if we take an evolutionary perspective.

Overall, my work is part of a larger effort to uncover the secrets behind brain size and intelligence. By combining experimental data with theoretical models and interdisciplinary collaboration, I believe that researchers in this field can continue making progress towards answering some very intriguing questions about how our own minds evolved!