Scientists have built a computer ‘brain circuit’, or artificial neural network, that mirrors human decision-making processes and sheds light on how circuits might be altered in psychiatric diseases, a new study published today in eLife reports.
The model identifies a potential mechanism for the impaired decision making that is commonly seen in schizophrenia, involving the reduced activity of molecules in the brain called NDMA receptors. These results provide new insight that may inform the development of future treatments for neuropsychiatric conditions.
“A major challenge in psychiatry is to relate changes that occur at nerve synapses in the brain to the cognitive processes that cause symptoms of disorders such as schizophrenia,” explains lead author Dr. Sean Cavanagh, who is an MBPhD student at the UCL Queen Square Institute of Neurology, London, UK. “Computational modeling of brain circuits can fill in these gaps. By altering the circuit model at the synapse level, you can make predictions of nerve activity and behaviors, and then test these experimentally.”
The team built a model that reproduces how the brain accumulates evidence and makes a decision. The types of decisions they were interested in were those that involve combining multiple pieces of information. For example, when deciding about where to go on holiday, we must combine information about many factors including the cost, weather and cultural experience. Initially, the team wanted to see whether their computer model showed the same decision-making bias that healthy humans show on these sorts of choices, called the ‘pro-variance bias’. This describes how humans tend to choose options with more variable evidence. For example, when planning a holiday and facing two options, people generally tend to prefer a holiday which is very appealing in one attribute but less so in another (expensive price, but excellent weather), when
09/26/2020, Dallas // KISSPR //
Google Announces Rich Results Test Tool Officially Out of Beta Stage
In a recent post on their webmasters’ blog, Google announced that the Rich Results Test tool now fully supports all Google Search rich result features.
The Rich Results Test used to only support four types of structured data – recipes, jobs, movies, and courses, but now it can test for all types of markup supported by Google search results.
With this latest development, Google also announced that it is preparing to deprecate the Structured Data Testing Tool. Here’s the detail of their announcement:
“In addition, we are preparing to deprecate the Structured Data Testing Tool. it will still be available for the time being, but going forward we strongly recommend you use the Rich Results Test to test and validate your structured data.”
What are Rich Results?
These are simply Google search results that occupy more SERP real estate and contain more detail. Here’s a detailed explanation of what rich results are:
“Rich results are experiences on Google Search that go beyond the standard blue link. They’re powered by structured data and can include carousels, images, or other non-textual elements.”
When you search for best Dallas hair replacement, and you see this in your search results:
The search results you see in the screenshot above is a carousel, an example of rich results.
How Does the Rich Results Test Tool Work?
This tool, developed by Google in the last two years, helps website owners test structured data and preview their websites’ rich snippets. According to Google, this final version can now serve website owners better because of the following reasons:
·It shows which Search feature enhancements are valid for the markup being provided
·It handles dynamically loaded structured data markup more effectively