Showing posts with label Neuroscience. Show all posts
Showing posts with label Neuroscience. Show all posts

24 July 2008

Next -- Michael Crichton



Usually this book is not a one day read, at least I don't think under normal circumstances I would have read this so fast. However, I was stuck in the Newark airport from 7pm until my flight finally took off after 3am. After rummaging through my bag and getting a muffin, I decided to pull this book out and start reading. It was quick paced, short chapters and a lot of dialogue, the only parts that slowed the reading a bit were the "news" stories interspersed throughout the book.

The problem with Crichton is that you never know what is specifically true. I know enough about chemistry and the other sciences to know that most of what was happening scientifically in this book is a little premature. But, the main point of the book was right on target. This book appeals to those that are concerned with the litigious nature of our society or those that are not but should be. It appeals to those whom are concerned with the growth of the biotech industry because of the lack of knowledge of those who make decisions and the reckless propaganda of those who actually know what is going on.

I am not saying biotech firms are evil. Quite the contrary. However, read this book and you will understand where the concerns are. There is a lot of benefits to these products and services. They should be rewarded accordingly. However, the courts make rulings where they don't understand the facts. The scientists inside these companies are willing to compromise high academic standards in trade for sensationalizing in front of a scared, misinformed public. Obviously not all are doing this, probably only a few, but the point remains. I highly recommend this book because I agree that the world most people expect to be here in 100 years is already here in many ways.

Specifically about this book, I found the stories to be somewhat jumbled and in some cases were wrapped up hastily and were found lacking. He tried to interweave many different stories and was successful in most ways, however it seemed to me that too many different plot lines were introduced in order to account for less depth and development in all of them. It was an enjoyable read however and the negative aspects in the story telling were outweighed by the skill that was shown in what was there.

11 October 2007

Economic Theory and Cognitive Science: Microexplanation -- Don Ross



I finally finished this book. This was by far the most technical philosophy book I have ever read. I spent half my time looking words up that were not even in the dictionary, words that I had to use Wikipedia to understand. The read was definitely arduous, however there was a good deal of substance to this book. I have been looking for someone to lay out philosophical issues related to economics and the interface between economics and cognitive science. This book performs this task quite well. Furthermore, the author puts forth his own hypothesis for what is happening inside our brain and mind. My take on his point of view is that human brains are composed of groups of neurons; these groups can be modeled as straightforward economic agents. These modules of neurons play coordination games in order to arrive at a specific utility structure to implement at a given time for the human as a whole. Over time however, as these games play out, the human as a whole can not be represented as your average rational agent, in the pure economic sense of this term. Moreover, we use public language and external pressures to scaffold our knowledge to overcome the computational challenges that such a paradigm presents.

I personally find this hypothesis appealing and ultimately close to the truth. I would only recommend this book to a trained philosopher or someone who is willing to look up words in every other sentence. The author does not define words, he rather attempts to give them meaning through context, but this does not work well. The economics is actually rather light, meaning the formal structure is not necessarily there. I liked this book for its overall theme and the way it reviews many other areas of thought pertaining to this subject.

13 September 2007

Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics -- Paul W. Glimcher



A fascinating book about the relatively new science known as neuroeconomics. The main thesis of the book is "that the fundamental limitation which neurobiology faces today is a failure to adequately incorporate probability theory into the approaches we use to understand the brain." The book basically begins with a ground up explanation of the history of neuroscience and mathematics (extremely abridged). The examples throughout the book make the ideas from the past and the hypothesis proposed by the author quite easy to understand. The book even includes some interesting pictures that illustrate certain experimental situations.

I recommend this book to anyone interested in the brain, decision making, history of science or who just wants to expand their knowledge of how the world works. It is written at a level accessible to almost anyone, but is very illuminating to one with a bit of formal training.

07 August 2007

Why Choose This Book? -- Read Montague



I am starting my PhD studies in the fall and I plan to focus my research along the lines of neuroeconomics, specifically optimal decision making under uncertainty from a neuroscience perspective. This book seemed to be the right thing to read for a general overview of what is known and what the open problems in the neuroscience field are. However, I was somewhat disappointed because of the overly general and simple tone of the book. It reminded me of Freakonomics in terms of composition. I suppose the book is written for the public and I know a little more than the public on this subject and wanted more detail so that could be the problem. Therefore, the book itself was good and presented a lot of interesting ideas. The main theme to me was that choice is a matter of valuation and cost. The brain is incredibly efficient at valuing choices and learning from the past and simulating the future. Therefore, reinforcement learning seems to model how the brain works. The author writes a lot about Turing and algorithms and how this applies to the brain. The whole book is interesting and recommended to non-experts or anyone looking for a quick and educational read.