The Center for Computational Brain Science at Brown’s Carney Institute for Brain Science will harness the University’s expertise in computation, cognition and systems neuroscience toward new brain health solutions.
One of my favorite aspects of this program was the exposure to novel science. From journal clubs to the “Research in Progress” sessions, I constantly learned about interesting research projects.
Researchers with expertise in molecular sensors of neural activity and in the cells that myelinate axons will join the Carney Institute for Brain Science in January 2021.
In today’s episode, Christopher Moore, Professor of Neuroscience at Brown University, discusses his ideas for making scientific education more effective, shares the ways in which researchers regard new discoveries and new ideas, and offers Nick and his listeners great advice about how to chart their careers.
A team of researchers at Brown University’s Carney Institute for Brain Science has mapped the neural circuits that are key for forming memories of sensory cues associated with alcohol.
A discovery by researchers at Brown’s Center for Translational Neuroscience could pave the way for future studies aimed at developing solutions to ALS and other vexing neuromuscular diseases.
Brown University had just released its Virtual Degree Conferral program when graduating senior Logan Cho learned he received the inaugural Carney Institute for Brain Science Reproducible Paper Prize. The $750 award honors innovations in reproducibility of publications.
On the surface, amyotrophic lateral sclerosis (ALS) and Alzheimer's disease share two commonalities: Both are progressively debilitating neurodegenerative conditions--meaning symptoms get worse--and, at least for now, neither has an effective treatment, let alone a cure.
Deadly diseases don’t wait. Neither should good ideas. So when two undergraduates thought they’d found a way to stop neurodegeneration, they took action.
When Brown University transitioned to online learning in March due to the COVID-19 pandemic, graduate and undergraduate student teaching assistants grappled with transitioning the courses they supported, and their own studies, to a new learning environment.
Tests can identify or rule out abnormalities, but a study from the R.I. Consortium for Autism Research and Treatment finds that most people with autism spectrum disorder don’t receive them.
Brown’s new COVID-19 Research Seed Fund is supporting 15 teams of faculty researchers who are working rapidly to develop solutions that could impact the world’s response to the pandemic.
A new study by three Brown researchers found that those who report symptoms of anxiety have a harder time walking away from people who become increasingly untrustworthy.
By 2040, approximately one in five people in the U.S. will be 65 years old or older. As Americans are increasingly dealing with age-related diseases such as diabetes, heart disease, stroke, and Alzheimer’s, Brown researchers are trying to understand why aging occurs in an attempt to meet the country’s growing health care needs.
Scientists at the Carney Institute for Brain Science have identified one way that a synaptic calcium channel protein in sensory neurons is modulated, providing insight into mechanisms that contribute to chronic pain. The research has the potential to inform new therapeutic targets for abnormal pain conditions.
With their election to the prestigious honor society, Carl Kaestle, Diane Lipscombe and Susanna Loeb join the nation’s leading scholars in science, public affairs, business, arts and humanities.
A Brown University alumnus, who is now a medical student, has been named a 2020 Paul & Daisy Soros Fellow. Mark Aurel Nagy will receive up to $90,000 in funding over two years through the program, which honors immigrants and children of immigrants pursuing graduate degrees.
Each year, the Research Achievement Awards recognize the research and scholarship of both longtime and early-career faculty members from a wide array of academic disciplines.
Thomas and I discuss the role of recurrence in visual cognition: how brains somehow excel with so few “layers” compared to deep nets, how feedback recurrence can underlie visual reasoning, how LSTM gate-like processing could explain the function of canonical cortical microcircuits, the current limitations of deep learning networks like adversarial examples, and a bit of history in modeling our hierarchical visual system, including his work with the HMAX model and interacting with the deep learning folks as convolutional neural networks were being developed.