Articles tagged with Circuit Development
A novel human brain organoid model generates all major cell types of the cerebellum, including functional Purkinje neurons. This breakthrough provides a new way to explore cerebellar development and disorders, advancing therapeutic interventions.
Growth hormone influences regulation of anxiety via a specific group of neurons, according to researchers at the University of São Paulo. The study identified somatostatin-expressing neurons as key players in modulating GH's anxiolytic effect, with increased anxiety observed in mice lacking these neurons.
A study by Johns Hopkins Medicine has identified teneurin-3 as a key protein for stabilizing the body's circadian rhythms. The protein helps wire the brain during neural development to allow for stable responses to light changes, reducing the impact of disruptions on sleep and other cycles.
Researchers developed a synaptic transistor capable of higher-level thinking and performing associative learning, categorizing data, and retaining information at room temperature. The device operates fast, consumes low energy, and is ideal for real-world applications.
Researchers at the University of Cincinnati's Lindner Center of HOPE have developed a novel approach to treating depression using spinal cord stimulation. The study found that electrical stimulation of the spinal cord decreased depressive symptoms and showed therapeutic potential.
Scientists use new photography technique to observe interaction between biological cell and shock wave, revealing high-speed phenomena. The technology has potential applications in science, medicine, and industry.
A team of researchers at Ghent University and imec developed a silicon photonic temperature sensor that measures up to 180°C. The sensor was realized in the framework of the European SEER project, where partners focus on integrating optical sensors in manufacturing routines for composite parts.
Researchers at Salk Institute assembled the most complete atlas of the mouse brain by analyzing over 2 million brain cells. The detailed atlas reveals thousands of cell types, their connections, genes, and regulatory programs active in each cell, providing new insights into human disease vulnerabilities.
A new technique for photon detection has been developed by UCF researcher Debashis Chanda, offering ultra-sensitive detection at room temperature. The method uses a phase-change material to modulate the frequency of an oscillating circuit, paving the way for low-cost, high-efficiency uncooled infrared detectors and imaging systems.
A team of researchers identified the right inferior frontal gyrus as a key regulator of response inhibition in the brain. The study used dynamic causal modeling and fMRI to explore inhibitory circuits, revealing high intrinsic connectivity within the neural circuit.
Researchers have successfully fabricated a self-assembling photonic cavity with atomic-scale confinement, bridging the gap between nanoscopic and macroscopic scales. The cavities were created using a novel approach that combines top-down and bottom-up fabrication techniques, enabling unprecedented miniaturization.
Researchers used brain imaging and machine learning to identify distinct patterns of brain connectivity in people with autism spectrum disorder (ASD), taking into account individual differences. The study reveals that certain brain features are shared across subtypes, while others are unique to specific individuals.
Scientists developed an AI method to track neurons in moving and deforming animals using convolutional neural networks with targeted augmentation. This breakthrough reduces manual annotation efforts by three times, enabling faster analysis of brain activity in model organisms like Caenorhabditis elegans.
A new organoid model replicates the dopaminergic system's structure, connectivity, and functionality, shedding light on its intricate functionality and potential implications for Parkinson’s disease. The model also uncovers the enduring effects of chronic cocaine exposure on the dopaminergic circuit, even after withdrawal.
A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.
A new study reveals that female fruit flies exhibit states of persistent aggression, similar to human anger, and identify cell types contributing to this behavior. The researchers found that a specific cell type, aIPg, can cause flies to remain angry for up to 10 minutes, but other factors may also be involved.
A new study finds that exposure and response prevention (EX/RP) therapy for OCD improves cognitive control by strengthening connections between brain networks. This breakthrough sheds light on the mechanisms underlying EX/RP's effectiveness in treating OCD, paving the way for targeted therapies.
Researchers will incorporate advanced semiconductor technologies and AI into a millimeter-wave radio system to increase bandwidth while reducing energy consumption. The project aims to save tens to hundreds of terawatt-hours of energy per year, contributing to climate change mitigation.
EPFL researchers have developed the world's first large-scale in-memory processor using 2D semiconductor materials, which could substantially cut the ICT sector's energy footprint. The processor combines data processing and storage onto a single device, reducing energy waste and improving efficiency.
A team of researchers from Pitt and Notre Dame have received a $2 million NSF grant to develop 'chiplets' - refurbished integrated chips that can be reused in new products, reducing manufacturing waste and emissions. The project aims to create a more sustainable computing lifecycle by mapping the reuse of decommissioned FPGAs.
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
A new USC study reveals that variants of the autism-linked gene SYNGAP1 can disrupt early brain development in the cortex, a region involved in higher-order cognitive functions. The research found that disease-causing variants of SYNGAP1 alter the cells' cytoskeletons and lead to disorganized neural circuits.
A new study has identified a brain connectivity variate that predicts psychiatric disorders in adolescents. The finding provides evidence for a transdiagnostic brain-based measure underlying individual differences in developing psychiatric disorders in early adolescence.
A newly developed labeling method allows for visualization of intraregional synaptic connections between inhibitory interneurons and excitatory engram cells. Researchers have identified the role of inhibitory interneurons in memory expression, suggesting that they suppress fear expression by inhibiting fear engram cells.
A new neural circuit has been discovered in the brain that produces a strong sense of discomfort when activated. The study found that the subthalamic nucleus, which controls voluntary movements, also plays a role in the development of depression.
Researchers are combining biology, physics, computer science, and engineering to design electric circuits that mimic the brain's adaptive behavior. The goal is to create a more efficient AI application that can learn from history and adapt without significant energy consumption.
Researchers have discovered axonal dysregulation in the prenatal brain as a mediator of genetic risk for schizophrenia. The study used induced pluripotent stem cells and three-dimensional brain organoids to identify key genes involved, including CYFIP1, which is highly expressed in microglia.
Researchers at Istituto Italiano di Tecnologia have developed the world's first rechargeable edible battery, utilizing food-grade materials like almonds and capers. The battery can power small electronic devices for a limited time and has potential applications in health monitoring, food storage, and children's toys.
Researchers developed an easy-to-use optical chip that can configure itself for different functions, enabling optical neural network applications. The chip achieves positive real-valued matrix computation and demonstrates optical routing, low-loss light energy splitting, and matrix computations.
New research from Cold Spring Harbor Laboratory explores how adult brains adapt through critical periods of learning, such as caring for young. MECP2 dysfunction causes neurodevelopmental disorder Rett syndrome, but the study finds that brain circuits can be rapidly rewired in adults.
A team of researchers at Penn State has developed an electronic tongue that can mimic human taste preferences, providing a possible blueprint for AI that processes information more like a human being. This innovation could lead to AI-curated diets based on emotional intelligence and personalized meal offerings in restaurants.
Researchers at UCF developed a new class of optical modulators to address limitations in data transfer over optical fiber communication, reducing lag and improving reliability. The technology uses phase diversity and differential operations to ensure accurate and efficient transmission.
Researchers developed a proof-of-concept sensor that detects vibrations and changes in target position with high accuracy, using an innovative design to cancel out noise. The sensor's compact size, low cost, and long battery life make it suitable for various applications, including plant water status tracking and structural integrity d...
Researchers found that brain circuits in 'deep-blind' zebrafish are fully functional and can drive normal visual behavior through direct stimulation. This study challenges the long-held assumption that neural development depends on visual experience.
A new strategy optimizes optical and electrical characteristics of thin c-Si solar cells, improving conversion efficiency by 28% compared to industrial thick counterparts. The proposed design uses a layer transfer method and metal nanofilms for enhanced light absorption and surface passivation.
The new resonators exhibit a record low UV light loss, enabling the development of miniaturized devices for applications such as spectroscopic sensing, underwater communication, and quantum information processing. The researchers achieved this by combining optimized design and fabrication techniques with amorphous alumina materials.
Researchers at MIT have developed a novel superconducting qubit architecture that can perform operations between qubits with high accuracy, exceeding 99.9% for two-qubit gates and 99.99% for single-qubit gates. The new design utilizes fluxonium qubits, which have longer lifespans than traditional transmon qubits.
Scientists at the Max Planck Institute present a method for training artificial intelligence using physical processes, reducing energy consumption and computing time. The new approach relies on non-linear processes, such as optics, to mimic the human brain's parallel processing, potentially leading to more efficient neural networks.
A new sensor design developed by a UMass Amherst-led team will monitor motion in stroke survivors' bodies to track their rehabilitation progress. The device uses wearable technology and the human body's conductive skin to transmit data, providing clinicians with valuable insights into patients' functional ability.
A study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging found that greater activation in the right inferior frontal gyrus predicts better recovery from early PTSD symptoms. This breakthrough suggests a potential role for cortical/cognitive regions in regulating fear and PTSD development.
A UMass Amherst neuroscientist is mapping the brain of a sea slug to study how neurons are added to functional neural circuits, shedding light on how this process contributes to neurological conditions. The project aims to provide an unprecedented look at brain development and potentially inform human brain development.
A new approach for coupling different light modes enables unprecedented data transfer rates in an MDM system. By using a gradient-index metamaterial waveguide, researchers achieved a high coupling coefficient and created a 16-channel MDM communication system with a data transfer rate of 2.162 Tbit/s.
Researchers developed a self-decontaminating fabric that kills coronaviruses in under 5 seconds using Joule heating. The material can handle hundreds of uses with minimal waste, transforming the way personal protective equipment is made and used.
Researchers at Rice University developed wearable textile-based devices that utilize fluidic control to provide sophisticated haptic cues. The system enables users to navigate through real-world environments using tactile feedback, potentially enhancing visual and auditory inputs for those with impairments.
Scientists developed a novel technique to evaluate carbon particle dispersion in battery electrode slurries, enabling enhanced battery electrodes. The study's results show that measuring viscosity and electrochemical impedance can provide insights into dispersibility.
A new study proves that thermal fluctuations of freestanding graphene can produce useful work by charging storage capacitors. The system satisfies both the first and second laws of thermodynamics throughout the charging process.
Researchers developed a novel method to measure permittivity 100 times more accurately than before. This technology contributes to efficient development of sensitive radio receivers for radio telescopes and high-frequency materials for next-gen communication networks.
Researchers at MIT developed a wearable ultrasound device that can detect breast cancer in early stages, reducing the risk of late-stage diagnosis. The device, attached to a bra, allows users to image breast tissue from different angles and is portable, easy to use, and provides real-time monitoring.
A new approach boosts light absorption in thin silicon photodetectors with photon-trapping structures, increasing the absorption efficiency over a wide band in the NIR spectrum. The findings demonstrate a promising strategy to enhance the performance of Si-based photodetectors for emerging photonics applications.
Researchers at Politecnico di Milano used fibre optic sensors to monitor water pipelines and detected pressure anomalies caused by water leaks. The study's results confirm the possibility of identifying and localizing small water leaks, offering a potential solution to global water wastage.
Researchers have made breakthroughs in two areas of computing: improving current semiconductor technology and developing new neuromorphic devices that think like the human brain. These advancements aim to increase efficiency, power, and processing capabilities for future technological leaps.
Researchers at Harvard Medical School have identified a specific group of neurons that become active when mice correct mistakes during spatial navigation. The findings bring scientists closer to understanding how navigation works and raise new questions about the role of these cells in other brain regions.
Researchers successfully fabricate a microlens on a single-mode polarization-stable VCSEL chip using 2-photon-polymerization 3D printing, reducing beam divergence from 14.4° to 3° and enabling compact optical gas sensors with improved performance.
Researchers boosted inhibitory interneuron activity in Fragile X mice, reducing hypersensitivity to sensory stimuli. The study found that even young mice with Fragile X had lower PV neuron density and functional decoupling, but treatment restored excitatory neuron function and reduced hypersensitivity.
Researchers at Korea University Medicine identified a new neuroimaging-based biomarker for MDD, the local gyrification index (LGI), which shows decreased cortical folding in patients. LGI values reflect long-drawn developmental processes and are stable markers compared to previous biomarkers.
A new study by investigators from the Brigham and Women’s Hospital found that lesions associated with epilepsy are connected to a common brain network, suggesting the brain connections disrupted by the lesions are key. This discovery may have clinical implications for predicting epilepsy risk and targeting treatments.
Researchers develop an ionic device utilizing redox reactions to achieve a high number of reservoir states, enabling efficient complex nonlinear operations. The device demonstrated remarkable performance in solving second-order nonlinear dynamic equations and predicting future values with low mean square prediction error.
A new device from NIST scientists helps reduce noise in quantum computers by introducing a programmable toggle switch. This allows for more versatile quantum processors with clearer outputs and easier reprogramming, addressing long-standing challenges in quantum computing.
MIT engineers have developed a new technology to probe the connections between the brain and gut, using fibers embedded with sensors and light sources. The researchers demonstrated that they can control neural circuits connecting the gut and brain in mice, inducing feelings of fullness or reward-seeking behavior.
A research team from Taiwan has found a way to massively speed up aerial image simulations using wavelength scaling and fast Fourier transformation. The new algorithm improves computation speed by 4000-5000 times while maintaining only a slight intensity deviation.