Week 15 Patrick Chou "Mind and Machine: Parallel Paths of Memory"
In the intricate realm of memory, the human brain mirrors the function of memory in a computer, albeit with its unique complexities and nuances, understanding these parallels sheds light on the mechanisms of memory but also offers insights into how we perceive, retain, and recall information.
For example at the core of both systems, lies the concept of encoding and memory retention. Just as a computer encodes data into binary form, the binary converts it into neural signals, which are then stored as memories. This encoding process involves the activation of specific neural pathways, akin to writing data to memory modules in a computer system.
In terms of memory duration, humans possess both short-term and long-term memory systems, analogous to a computers ram and hard drive, respectively. Short term memory serves a temporary works space holding for immediate use such like RAM. Conversely, long-term memory stores information for extended amounts of times, like a SSD or a hard drive.
Memory retrieval mechanisms parallel the access of stored data in computer storage. Just as a computer retrieves data from memory modules based on specific addresses, the brain accesses stored memories through neural pathways associated with encoded information. This retrieval process involves activating the same neural circuits that were engaged during encoding, facilitating the recall of past experiences and knowledge.
However, in any system, both systems are subject to errors and limitations. Memory fragmentation and corruption may occur, leading to gaps or inaccuracies in recollection, much like data fragmentation and corruption in computer hardware.
In conclusion, the analogies between human memory and computer storage systems offer valuable insights into the mechanisms of memory encoding, retention, and retrieval.
For a more in depth dive into how computers store information: here
Hi Patrick! I appreciate your comparison between the human brain and computer memory storage that stores binary data. As an individual who is somewhat familiar with the concepts of RAM—to store short-term memory, and the hard drive—to store large amounts of information for a long time. Reading your blog raises several questions and helps me recall some facts about the relationship between memory and computers that I learned a few years ago. When I was building a project with neural networks, I was amazed by the similarities between the human brain and the neurons and synapses that make up the memory retrieval system in our brains.
ReplyDeleteI admire your complex argument acknowledging the possibility of error within the computer memory system. By widening your claim that mistakes are possible, you ready your audience for a flurry of frequent errors when dealing with computers. As a visual learner, I felt that your image and the link you provided for further reading enhanced my understanding of the concepts that you present in your blog. It is interesting to me how you read blogs with a will to expand your knowledge continuously.
Hi Patrick! I found the parallels you listed between human brains and machines to be very fascinating. In the past, I have heard about research and innovation being conducted in order to possibly replace a human brain in a human when it stops working. This technology is intriguing because it is hard to believe that AI and machines are able to recreate human functions in something as complex as the human brain. In addition, it is a well-known fact that computers and machines are able to process data, perform calculations, and retrieve stored information much better than humans. Therefore, it leads me to wonder whether a mechanical brain can become more powerful and controlling than a human one. These ideas are scary because they define the future of the world in a couple years, and they look very different from past innovations. While artificial intelligence and machines are exciting and demonstrate the extent of human innovation, they are a concern and hazard for the future. Websites such as ChatGPT are already being used by students and teachers to reduce the amount of work and effort that they put in. In some ways, working more effectively with technology may result in more productive humans with more innovation. In other ways, it is scary to predict everything that technology will be able to achieve.
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