Groundbreaking study uncovers how our brain learns
UC San Diego researchers reveal synaptic plasticity rules, using advanced imaging to track neural changes during learning.
KAIST research team breaks down musical instincts with AI
From The Korea Advanced Institute of Science and Technology (KAIST) 02/02/24 Music, often referred to as the universal language, is known to be a common component in all cultures. Then, could ‘musical instinct’ be something that is shared to some degree despite the extensive environmental differences amongst cultures? On January 16, a KAIST research team […]
Researchers design new open-source technology for interfacing with living neurons
From Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign 26/01/24 Neurons intricately communicate and respond to stimuli within a vast network, orchestrating essential functions from basic bodily processes to complex thoughts. Traditional neuroscience methods, relying on in vivo electrophysiology (within a living organism), often have difficulty addressing the complexity of the brain as […]
Training algorithm breaks barriers to deep physical neural networks
From Ecole Polytechnique Fédérale de Lausanne 28/12/23 EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware. With their ability to process vast amounts of data through algorithmic ‘learning’ rather than traditional programming, it […]
What happens when the brain loses a hub?
From University of Iowa Health Care 14/12/23 A University of Iowa-led team of international neuroscientists has obtained the first direct recordings of the human brain in the minutes before and after a brain hub crucial for language meaning was surgically disconnected. The results reveal the importance of brain hubs in neural networks and the remarkable […]
New easy-to-use optical chip can self-configure to perform various functions
From Optica 23/10/23 Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the potential to be used in applications requiring optical neural networks. Optical neural networks can be used for a variety of data-heavy tasks such as image […]
New gene therapy restores neural connections lost in brain disorder
From University of Minnesota Medical School 22/08/23 The authors analyzed brain activity using resting state functional magnetic resonance imaging (rs-fMRI) in mice, identifying communication patterns between brain regions. They predicted different groups of mice based on their brain activity using statistical methods. CREDIT: University of Minnesota Medical School Urban living: A new study from the […]
‘Introspective’ AI improves its own neural network through open-mindedness
From North Carolina State University 03/09/23 An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks. “We created a test system with a […]
New detector unlocks large-scale optical neural networks: Faster and energy-efficient
From Optica 25/08/23 Faster, energy-efficient diffractive ONN could be used for image and video processing For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays the groundwork for large-scale ONNs, which can perform high-speed […]