Learn from the latest webinars about newly released neuroscience research and advances in experimental techniques. Topics include research news in neuroscience, neurology, psychology, brain science and cognitive sciences.
Determining the copy number of SMN1 and SMN2 genes is notoriously difficult due to the high level of homology between the two genes. These genes, that are associated with spinal muscular atro...
The rapid formation of new memories and the recall of old memories to inform decisions is essential for human cognition, but the underlying neural mechanisms remain poorly understood. We util...
Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning to reach subjective goals. {\color{rev}A fundamenta...
Neuroscience is experiencing an exciting era of integrating novel materials and tools to record neural activity made possible through significant advances in materials science, electrical en...
Speech neuroprostheses have the potential to restore communication to people living with paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density surface reco...
Targeted stimulation of the brain has the potential to treat mental illnesses but designing an appropriate protocol requires a multitude of choices. I will describe an approach to help desig...
The dopamine D4 receptor (D4R) is enriched in the prefrontal cortex where it plays important roles in cognition, attention, decision making and executive function. Novel D4R-selective ligand...
Threshold-linear networks (TLNs) display a wide variety of nonlinear dynamics including multistability, limit cycles, quasiperiodic attractors, and chaos. Over the past few years, we have de...
The NIH BRAIN Initiative aims to develop new tools and neurotechnologies to transform our understanding of brain function in health and disease. That knowledge is critical to enable novel the...
Treatment-resistant depression is an immense source of disability and suffering, and represents a major unmet clinical need for innovative and effective therapies. Deep brain stimulation tri...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear...
Cortical circuits often receive multiple inputs from upstream populations with non-overlapping stimulus tuning. Both the feedforward and recurrent architectures of the receiving cortical lay...
One role of theory is in guiding future experiments: What should we aim to measure? Which experimental results should we be surprised about? I will argue here that simple random networks mod...
The intrinsic activity of the brain is organized into networks and motifs that vary over time. To understand how coordinated macroscale patterns of intrinsic activity flow across the brain&r...
The BRAIN Initiative has enabled the development of novel neural recording tools that can benefit many labs, but are difficult to transition to industry for a variety of reasons. Here we ass...
Learning Objectives: 1. Delineate the goals of studies of brain, computation and behavior and how they can be integrated. 2. Describe how neuromodulators such as oxytocin transform circuits...
Multiscale modeling has arisen as a focus of computational systems biology, with the realization that genome, proteome, connectome, etceteromes, will only become comprehensible once placed i...
Animal models present a unique opportunity to understand molecular mechanisms of pathological changes involved in cognitive dysfunction in neurological disorders. However, most of the work f...
Understanding how populations of neurons work together to represent stimuli, build percepts, and generate complex behaviors, is a fundamental challenge in neuroscience. To establish a link b...
This talk provides a brief overview of funding opportunities for invasive device development for translation to clinical populations supported by the NIH BRAIN Initiative....
Deep–Brain Stimulation (DBS) has become an effective means of treating a variety of neurological conditions. Most DBS systems work are "open-loop," and apply constant stimula...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural...
Selective vulnerability of brain regions and specific neural populations in neurodegeneration remains little understood. We hypothesize that pre-existing physiological differences in neurons...
Explainable AI (XAI) aims at helping you understand and interpret predictions made by AI techniques and tools. Recently, there has been a growing interest in XAI as many users want explanati...
We will show how to combine large scale neural recordings and mechanistic neural network models to advance our conceptual understanding of how neural circuits mediate cognitive functions lik...
Determining the copy number of SMN1 and SMN2 genes is notoriously difficult due to the high level of homology between the two genes. These genes, that are associated with spinal muscular atro...
