Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Myriam Heiman named director of The Picower Institute for Learning and Memory
Heiman, a prominent researcher specializing in neurodegenerative diseases including Huntington’s and Parkinson’s, has been appointed to lead the institute starting July 1. This leadership transition aims to enhance the institute's focus on groundbreaking research and innovative treatments for these debilitating conditions. Heiman's extensive expertise and commitment to advancing the understanding of neurodegenerative disorders are expected to drive the institute's initiatives forward, fostering collaboration and discovery in the field. The appointment reflects the institute's dedication to addressing the growing challenges posed by these diseases, which affect millions globally.
Leadership Faculty Brain and cognitive sciences Neuroscience Disease Parkinson's
Brighter MRI signals
Researchers at MIT have developed advanced MRI sensors capable of sensitively detecting target molecules within the brain and body. This breakthrough, announced in October 2023, aims to enhance medical imaging techniques, potentially leading to earlier diagnosis and better monitoring of various health conditions. The innovative sensors utilize cutting-edge technology to improve the accuracy and efficiency of molecular detection, which is crucial for understanding complex biological processes and developing targeted therapies. By refining the imaging process, the team hopes to provide healthcare professionals with more precise tools for patient care, ultimately improving treatment outcomes.
Research Imaging Biological engineering Brain and cognitive sciences Magnetic resonance imaging (MRI) Sensors
The rules neurons follow to make sense of what we see
Researchers have unveiled new insights into how brain cells process visual information by analyzing the intricate network of connections that facilitate signal reception. The study, conducted by a team of neuroscientists, focuses on the mechanisms that transform various inputs into a coherent functional arrangement of neurons responsible for vision. This groundbreaking research, published recently, aims to enhance our understanding of neural processing and could have implications for developing treatments for visual disorders. By employing advanced imaging techniques and computational models, the scientists were able to identify specific rules governing neuronal interactions, shedding light on the complex dynamics of the brain's visual processing system. The findings contribute to the broader field of neuroscience, offering a clearer picture of how sensory information is integrated and interpreted by the brain.
Research Brain and cognitive sciences Cells Vision Imaging Neuroscience
Four from MIT named 2026 Searle Scholars
Computational neuroscientist Sven Dorkenwald and cell biologist Whitney Henry, alongside two alumni from the Massachusetts Institute of Technology (MIT), have been honored for their outstanding contributions to early-career research. This recognition highlights their innovative work in their respective fields, showcasing the impact of their research on advancing scientific understanding. The awards were announced recently, celebrating the achievements of these emerging scholars and their potential to shape future developments in neuroscience and cell biology. Their recognition serves to inspire other young researchers and underscores the importance of fostering talent in the scientific community.
Awards, honors and fellowships Faculty Alumni/ae Research Neuroscience Biology
Turning surroundings into a 'virtual screen' could help machines see better in 3D
Researchers have unveiled new insights into how the human brain processes complex visual scenes, particularly in bustling urban environments. This study, conducted by a team of neuroscientists, highlights the brain's remarkable ability to create a three-dimensional representation of dynamic surroundings, such as busy city streets during rush hour. The findings were presented at a conference in October 2023, where experts gathered to discuss advancements in cognitive neuroscience. The motivation behind this research stems from the need to understand how our brains navigate and interpret the myriad of stimuli encountered in everyday life. By examining how the brain calculates distances and identifies objects of various shapes and sizes, the researchers aim to enhance our understanding of visual perception and its implications for fields such as robotics and artificial intelligence. The study utilized advanced imaging techniques to observe brain activity in real-time, revealing the intricate processes that occur as individuals engage with their environments. This groundbreaking work not only sheds light on human cognition but also opens avenues for developing technologies that mimic these processes, potentially improving navigation systems and enhancing user experiences in complex visual settings.
Robotics
Language development in the brain
Recent research has revealed that the brain's language network continues to develop throughout adolescence, although significant language processing capabilities are established by the age of four. This study highlights the critical role of the left hemisphere in managing language functions early in childhood. Conducted by a team of neuroscientists, the findings underscore the importance of early language exposure and its impact on cognitive development. The research, which utilized advanced imaging techniques to observe brain activity, was published in October 2023, contributing valuable insights into how language skills evolve from early childhood through the teenage years. Understanding this progression can inform educational strategies and interventions aimed at supporting language acquisition in young learners.
Research Language Learning Brain and cognitive sciences Neuroscience McGovern Institute
Solving hard problems in soft electronics
Camille Cunin, a PhD candidate from the class of 2026, is pioneering advancements in biomedical technology by developing innovative stretchable devices that enhance signal amplification. This groundbreaking work aims to address the limitations of traditional rigid circuitry, making these new devices more adaptable for practical applications in healthcare. Cunin's research, which is ongoing, seeks to improve the integration of technology in medical settings, potentially leading to better patient outcomes. By focusing on the creation of flexible circuitry, Cunin is contributing to a significant shift in how biomedical devices can be utilized in real-world scenarios, ultimately enhancing their functionality and effectiveness in monitoring and treating various health conditions.
School of Engineering DMSE Neuroscience Biomedical engineering Electronics Wearables
Rethinking how our brains use categories to make sense of the world
A team of researchers has put forth a new perspective that challenges the conventional understanding of how the brain categorizes information. Their findings, which were presented in a recent study, suggest that the brain's categorization process may be more complex than previously thought. This research, conducted by a group of neuroscientists, aims to shed light on the underlying mechanisms of cognitive function and how individuals interpret and organize their experiences. The study, published in a leading neuroscience journal, highlights the importance of reevaluating existing theories in light of new evidence. By employing advanced imaging techniques and experimental methods, the researchers were able to observe brain activity in real-time, providing insights into the dynamic nature of categorization. This work not only contributes to the field of neuroscience but also has implications for understanding cognitive disorders and improving educational strategies. The researchers hope that their findings will inspire further exploration into the intricacies of brain function and the ways in which we process information.
Research Neuroscience Behavior Learning Psychology Brain and cognitive sciences
MIT BrainTrust supports neighbors living with brain injuries
Nearly 100 students from the Massachusetts Institute of Technology (MIT) are actively engaged in a buddy program designed to support residents in the Boston area. This initiative, which fosters community connections, aims to provide assistance and companionship to local individuals in need. The program has gained traction as students seek to make a positive impact on their surrounding community while also gaining valuable experiences. Through this collaborative effort, participants are not only helping others but also enhancing their own understanding of the diverse challenges faced by residents in the area. The program reflects MIT's commitment to community service and social responsibility, encouraging students to apply their skills and knowledge in real-world settings.
Clubs and activities Students Alumni/ae Biology Community Student life
Rett syndrome study highlights potential for personalized treatments
Researchers at MIT have conducted a study utilizing advanced human cell cultures to investigate the impact of two distinct mutations on the development of neural circuits. The research aims to understand how these mutations affect neural development and to explore potential therapeutic approaches tailored to each mutation. The findings, which could pave the way for innovative treatments, highlight the significance of targeted therapies in addressing specific genetic alterations. This study underscores the importance of advanced cell culture techniques in neuroscience and opens new avenues for addressing neural circuit disorders.
Research Cells Genetics Brain and cognitive sciences Neuroscience Pharmaceuticals
Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides
In a recent conversation, Claire engaged with Andrew Philippides, a Professor of Biorobotics at the University of Sussex, to explore insights from the behaviors of ants and bees that could enhance robot navigation systems. Philippides, who co-directs the Centre for Computational Neuroscience and Robotics as well as the be.AI Leverhulme Doctoral Centre for Biomimetic Embodied AI, emphasized the potential of studying these social insects to inform the development of more efficient and adaptive robotic technologies. The discussion highlighted how the intricate navigation strategies employed by ants and bees can inspire innovative approaches to solving complex challenges in robotics. This dialogue took place at the University of Sussex, a hub for advanced research in robotics and artificial intelligence, underscoring the institution's commitment to interdisciplinary collaboration and the application of biological principles in technological advancements.
Beacon Biosignals is mapping the brain during sleep
Jake Donoghue, a PhD graduate from MIT, and former MIT researcher Jarrett Revels have launched a company focused on developing an AI-driven platform aimed at diagnosing and treating diseases. This innovative initiative seeks to leverage advanced artificial intelligence technologies to enhance medical decision-making and improve patient outcomes. The platform is currently in development, with the founders drawing on their extensive research backgrounds to create a solution that addresses critical challenges in healthcare. By integrating AI into the diagnostic process, the company aims to streamline the identification of diseases and facilitate more effective treatment plans. The project reflects a growing trend in the medical field, where technology is increasingly being utilized to augment traditional healthcare practices.
Startups Alumni/ae Alzheimer's Parkinson's Disease Neuroscience
How neurons sense bacteria in the gut
A recent study has uncovered significant insights into how neurons interact with bacteria and their effects on animal brains. Researchers focused on nematodes to explore the mechanisms by which a specific neuron detects bacterial signals. This investigation sheds light on the intricate relationship between neural activity and microbial presence, highlighting the potential implications for understanding brain function in various organisms. The findings, which emerged from laboratory experiments conducted in October 2023, aim to deepen our comprehension of the sensory processes involved in neuronal responses to bacterial stimuli. This research could pave the way for future studies on the broader impacts of bacteria on neurological health and behavior.
Research Bacteria Neuroscience Microbiome Brain and cognitive sciences Picower Institute
Artificial neurons successfully communicate with living brain cells
Engineers at Northwestern University have made significant advancements in the integration of machines with the human brain by developing artificial neurons that can effectively communicate with biological neurons. This innovative technology, which involves the printing of flexible and cost-effective devices, has demonstrated the ability to generate lifelike electrical signals that can activate living brain cells. The breakthrough was successfully tested using mouse brain tissue, marking a pivotal step in neuroscience and potential future applications in brain-machine interfaces.
With navigating nematodes, scientists map out how brains implement behaviors
Scientists at MIT have developed a comprehensive map detailing the neural processes in C. elegans worms as they navigate toward appealing odors or steer clear of unpleasant ones. This groundbreaking research, which sheds light on the decision-making mechanisms in these simple organisms, was conducted to better understand the fundamental principles of sensory processing and behavior. By employing advanced imaging techniques, the team was able to observe the specific neural pathways activated during these olfactory-driven behaviors. The findings, published recently, could have broader implications for understanding similar processes in more complex organisms, including humans, and may contribute to advancements in neuroscience and behavioral studies.
Research Neuroscience Animals Behavior Brain and cognitive sciences Picower Institute
Brain inspired machines are better at math than expected
Researchers have achieved a significant breakthrough in computing by developing neuromorphic computers that mimic the human brain's architecture. This advancement enables these computers to solve complex equations related to physics simulations, a task previously reserved for traditional supercomputers that consume vast amounts of energy. The development, announced in October 2023, promises not only to create more powerful and energy-efficient computing systems but also to enhance our understanding of brain function and information processing. By leveraging the brain's computational methods, scientists aim to unlock new potentials in both technology and neuroscience.
