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.
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
Systems neuroscience offers new and powerful conceptual frameworks for testing the fundamental brain mechanisms that support behavior. More recently, modern neurotechnologies with translation...
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...
Brain machine interfaces or neural prosthetics have the potential to restore movement to people with paralysis or amputation, bridging gaps in the nervous system with an artificial device. M...
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...
A fundamental challenge in developing brain machine interfaces (BMIs) is building a decoder between patterns of brain activity and movement in patients with spinal cord injury, ALS, and amput...
The study of rare, neurological disorder and the development of effect treatments can pose many unique challenges. A paucity of scientists working on these disorders often limits forward prog...
Major depression (MDD) is a common psychiatric condition and a leading cause of disability worldwide. While psychotherapy and pharmacotherapy are effective treatments for the majority of peo...
General anesthesia is a drug-induced, reversible condition comprised of five behavioral states: unconsciousness, amnesia (loss of memory), analgesia (loss of pain sensation), akinesia (immobi...
Clathrin mediated endocytosis (CME) at pre-synaptic terminals is functionally coupled to neuro-transmitter release. Like other cytosolic proteins, clathrin is synthesized in cell-bodies and c...
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...
How does a low-level sensory representation rise into conscious awareness? What determines whether higher-order cortical areas have access to the representational content in sensory regions?...
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...
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...
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 growth of technologies capable of comprehensively collecting, managing, and allowing us to gain an in-depth picture of the brain, nervous system, and behavior across diverse spatia...
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...
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...
This session provides an introduction to the MiSeq i100 Series, the simplest, fastest benchtop sequencer. Giving a brief overview of the revolutionary technology that's been built into the n...
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...
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...
Learning Objectives: 1. Review the basic principle of 3D microscopy. 2. Recognize the pathophysiology of Parkinson disease. 3. Demonstrate knowledge on how alpha-synuclein aggregates spread...
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
