Understanding Brains in the Second Machine Age
Neuroscience in it’s many forms is playing a central role in the second machine age, especially as it relates to the development of artificial intelligence. There is an interesting dance between the fields of artificial intelligence and human neuroscience where each is informing the other. This department tracks the dance.
Study suggests existence of biomarker for distinguishing major depressive disorder from bipolar disorder.
Researchers have demonstrated a novel synaptic architecture that could lead to a new class of information processing systems inspired by the brain.
Researchers report science fiction fans are positive about the potential to upload consciousness, neurotech and digitizing the brain.
The performance and exciting potential of a new brain-inspired computer takes us one step closer to simulating brain neural networks in real-time.
Researchers have now developed a type of personalized machine learning that helps robots estimate the engagement and interest of each child during these interactions, using data that are unique to that child. Armed with this personalized ‘deep learning’ network, the robots’ perception of the children’s responses agreed with assessments by human experts, with a correlation score of 60 percent.
Researchers at the Max Planck Florida Institute for Neuroscience release open source software, connecting and building the neuroscience coding community.
There’s a lot of excitement in the air these days about Artificial Intelligence, along with a lot of speculation about who will be impacted in the workplace and by how much.
In the popular HBO series Westworld, robotic hosts are depicted as being placed into a kind of psychiatric analysis by their creators. Could this actually happen one day?
This drug contains a digital sensor embedded within the powerful antipsychotic drug Abilify, the brand name for aripiprazole, which is used to treat schizophrenia, bipolar disorder and major depressive disorder.
The consequences of long-lasting depressive episodes could be more far reaching than previously thought.
Neuroscience Department Head