technologyreview | One of the great challenges of neuroscience is to understand the
short-term working memory in the human brain. At the same time, computer
scientists would dearly love to reproduce the same kind of memory in silico.
Today, Google’s secretive DeepMind start-up, which it bought for $400
million earlier this year, unveils a prototype computer that attempts
to mimic some of the properties of the human brain’s short-term working
memory. The new computer is a type of neural network that has been
adapted to work with an external memory. The result is a computer that
learns as it stores memories and can later retrieve them to perform
logical tasks beyond those it has been trained to do.
DeepMind’s breakthrough follows a long history of work on short-term
memory. In the 1950s, the American cognitive psychologist George Miller
carried out one of the more famous experiments in the history of brain
science. Miller was interested in the capacity of the human brain’s
working memory and set out to measure it with the help of a large number
of students who he asked to carry out simple memory tasks.
Miller’s striking conclusion was that the capacity of short-term
memory cannot be defined by the amount of information it contains.
Instead Miller concluded that the working memory stores information in
the form of “chunks” and that it could hold approximately seven of them.
That raises the curious question: what is a chunk? In Miller’s
experiments, a chunk could be a single digit such as a ‘4’, a single
letter such as a ‘q’, a single word or a small group of words that
together have some specific meaning. So each chunk can represent
anything from a very small amount of information to a hugely complex
idea that is equivalent to large amounts of information.
But however much information a single chunk represents, the human
brain can store only about seven of them in its working memory.
Here is an example. Consider the following sentence: “This book is a
thrilling read with a complex plot and lifelike characters.”
This sentence consists of around seven chunks of information and is clearly manageable for any ordinary reader.
By contrast, try this sentence: “This book about the Roman Empire
during the first years of Augustus Caesar’s rein at the end of the Roman
Republic, describes the events following the bloody Battle of Actium in
31 BC when the young emperor defeated Mark Antony and Cleopatra by
comprehensively outmaneuvering them in a major naval engagement.”
This sentence contains at least 20 chunks. So if you found it more
difficult to read, that shouldn’t be a surprise. The human brain has
trouble holding this many chunks in its working memory.
In cognitive science, the ability to understand the components of a
sentence and store them in the working memory is called variable
binding. This is the ability to take a piece of data and assign it to a
slot in the memory and to do this repeatedly with data of different
length, like chunks.
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