Efeito dos acontecimentos ocasionais no cérebro.O cérebro
O cérebro é feito de aproximadamente 100 bilhões de minúsculas células nervosas chamadas neurônios. Cada neurônio tem de mil a 10 mil sinapses ou ponto em que se conecta a outros neurônios. Os neurônios usam estas conexões para formar redes. As células nervosas integradas ou conectadas formam a redes neurais. Uma maneira simples de pensar nisso é que cada rede neural representa um pensamento, uma memória, uma habilidade, uma peça de informação, e assim por diante. No entanto, estas redes neurais não são isoladas. Todas estão conectadas, e é essa interconexão que constrói idéias, memórias e emoções complexas. Por exemplo, a rede neural que representa o "sol" não é só uma rede de neurônios. É muito maior, e se conecta a outras redes, como as neurais que contem "amarelo," quente "e assim por diante. Essa rede neural, por sua vez, está ligada a muitas outras, de modo que quando vemos o sol, o córtex visual, que também está conectado, aciona aquela rede para nos dar a imagem de um sol. Todos temos as nossas próprias coleções de experiências e competências, representadas em nossas redes neurais. O cérebro aprende por dois mecanismos principais. A primeira é a compreensão ou memorização de fatos concretos ou intelectuais. Se você estuda história e decoração nomes e datas, ou ler Platão e tira as suas conclusões sobre o conceito ideal de governo, esta acrescentando mais redes neurais ao cérebro. Quanto mais você estudar o material mais memorizado ele será --- porque as redes neurais ficam mais fortes. O segundo mecanismo, geralmente, mais poderosos, é a experiência. Você pode ler um livro que descreve como andar de bicicleta ter uma idéia de como é isso processando intelectualmente toda a informação sobre como mudar marchas para subir e descer ladeiras, como se equilibrar ou qual a tensão necessária nos raios da roda. Mas toda essa informação não ficará integrada enquanto você não subir na bicicleta e começar a pedalar. Seja qual for o método, aprender é essencialmente integrar redes neurais para formar novas redes. No exemplo do sol não tinha apenas uma rede para o” sol", mas todas as outras de redondo, amarelo, etc. Na verdade aprender é construir novas estruturas com base em outras previamente existentes.
by: André Kura
Effect of events in the brain.
The brain
The brain is made of approximately 100 billion nerve cells called neurons insensitive. Each neuron has a thousand to 10 thousand synapses or point which connects to other neurons. The neurons use these connections to form networks. The nerve cells are integrated or connected to neural networks. A simple way to think about it is that each neural network represents a thought, a memory, a skill, a piece of information, and so on. However, these neural networks are not isolated. All are connected, and that is that interconnection constructs ideas, memories and complex emotions. For example, the neural network that represents the "sun" is not only a network of neurons. It is much larger, and connects to other networks such as neural containing "yellow," hot "and so on. The neural network, in turn, is linked to many others, so that when we see the sun, the visual cortex, which is also connected, it triggers the network to give the image of the sun. We all have our own collections of experience and expertise represented in our neural networks. The brain learns by two main mechanisms. The first is the understanding or memorization of specific facts or intellectual. If you study history and decoration names and dates, or reading Plato and draws its conclusions on the ideal concept of government, adding that more neural networks to the brain. The more you study the more memory it --- is because the neural networks are stronger. The second mechanism, generally more powerful, is the experience. You can read a book that describes how to ride a bicycle have an idea of how it is intellectually processing all the information about marches to move up and down slopes, or how to balance the tension needed in which the wheel spokes. But all this information will not be integrated until you climb on the bike and start pedaling. Whatever the method, learning is essentially integrated networks to form new neural networks. In the example of the sun had not only a network for "sun", but all the other round, yellow, etc.. Indeed learning is to build new structures on other previously existing.
The brain
The brain is made of approximately 100 billion nerve cells called neurons insensitive. Each neuron has a thousand to 10 thousand synapses or point which connects to other neurons. The neurons use these connections to form networks. The nerve cells are integrated or connected to neural networks. A simple way to think about it is that each neural network represents a thought, a memory, a skill, a piece of information, and so on. However, these neural networks are not isolated. All are connected, and that is that interconnection constructs ideas, memories and complex emotions. For example, the neural network that represents the "sun" is not only a network of neurons. It is much larger, and connects to other networks such as neural containing "yellow," hot "and so on. The neural network, in turn, is linked to many others, so that when we see the sun, the visual cortex, which is also connected, it triggers the network to give the image of the sun. We all have our own collections of experience and expertise represented in our neural networks. The brain learns by two main mechanisms. The first is the understanding or memorization of specific facts or intellectual. If you study history and decoration names and dates, or reading Plato and draws its conclusions on the ideal concept of government, adding that more neural networks to the brain. The more you study the more memory it --- is because the neural networks are stronger. The second mechanism, generally more powerful, is the experience. You can read a book that describes how to ride a bicycle have an idea of how it is intellectually processing all the information about marches to move up and down slopes, or how to balance the tension needed in which the wheel spokes. But all this information will not be integrated until you climb on the bike and start pedaling. Whatever the method, learning is essentially integrated networks to form new neural networks. In the example of the sun had not only a network for "sun", but all the other round, yellow, etc.. Indeed learning is to build new structures on other previously existing.
by: André Kura
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