Neuroscience
Neuroscience

Neuroscience

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Neuroscience Research School of Engineering

Novel AI model inspired by neural dynamics from the brain

New type of “state-space model” leverages principles of harmonic oscillators.

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MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale

A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.

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MIT welcomes Frida Polli as its next visiting innovation scholar

The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.

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New open-source tool helps to detangle the brain

The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.

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Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment

Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.

Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Functional magnetic resonance imaging (fMRI) image processing Imaging machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Research School of Engineering

Mapping the brain pathways of visual memorability

For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.

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Complex, unfamiliar sentences make the brain’s language network work harder

A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Imaging machine learning Microscopy MIT Schwarzman College of Computing Nanoscience and nanotechnology Neurons Neuroscience Research School of Engineering Synapses

Using AI to optimize for rapid neural imaging

MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.

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AI models are powerful, but are they biologically plausible?

A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.