May 182016
 

This is the second article in the series about artificial neural networks. If you have not already done so, I recommend you read the first article, “Neural Networks: The Node“, before proceeding. It covers material that should be understood before attempting to tackle the topics presented here and in future articles in this series.

There are several properties that define the structure and functionality of neural networks: the network architecture, the learning paradigm, the learning rule, and the learning algorithm.

Continue reading »

Jan 022016
 
Artificial Intelligence: A Modern Approach Book Cover Artificial Intelligence: A Modern Approach
Stuart Jonathan Russell, Peter Norvig,
Computers
Prentice Hall
2010
1132

Artificial intelligence: A Modern Approach, 3e,is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. It is also a valuable resource for computer professionals, linguists, and cognitive scientists interested in artificial intelligence. The revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Feb 272006
 

A recent study carried out by researchers from the University College London in the United Kingdom has concluded that the brain is more successful at storing memories when it has been “primed” in advance to consider the meaning of what is to be stored. Neuroscientists already knew that neural activity during and immediately after an event occurred was an important factor in the success of memory storage, but this new research illustrates that one’s frame of mind prior to the event may be just as crucial. Nature.com has published a brief article today summarizing the study which itself was published in full in the journal Nature Neuroscience.

Continue reading »

Feb 132006
 

Rat

Neuroscientists from the Picower Institute for Learning and Memory at MIT have discovered that after completing a task, a rat’s brain will mentally replay recent events, but in reverse order. They believe this process plays a key role in learning and memory and may explain why taking frequent breaks when studying is more effective for learning new material than cramming for extended periods of time. Their work could yield a better understanding of amnesia, Alzheimer’s disease and other memory disorders and lead to more efficient methods for learning and memorization.

Continue reading »

Nov 282005
 
Brain image scan

source: MIT

LiveScience.com is reporting that a new brain-imaging study performed by researchers at MIT has concluded that if you predict a memory will need to be recalled as you store that memory, you will in fact be able to remember it better later. In other words, people who make more accurate memory predictions are better learners. The opportunity for prediction does not only occur during the initial learning stage, but rather is a continuous process by which the subconscious monitors the brain to determine if something is known as well as it should be. Better learners will intuitively react to the feedback from this monitoring process and review information that is flagged as not properly understood or memorized.

Continue reading »

Feb 162005
 

In an effort to explore the relationship between brain activity and consciousness, Stanford University nueroscientist Bill Newsome is currently seeking regulatory approval to implant an electrode into his own brain. Engadget has a summary of an interview MIT Technology Review did recently with Newsome in which he explains his obsession with determining how brain functions give rise to consciousness and why the limitations of studying animals have driven him to propose this extraordinary experiment.

Continue reading »