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.
Single-cell ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing, scATAC-seq) is a relatively new and powerful technique that allows researchers to identify open chromatin r...
3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities...
Join us for an introduction to the Deepcell Platform, an instrument that combines advances in high-resolution imaging, deep learning foundation models to illuminate morphology in all its dim...
Date: May 31, 2023 Time: 11:00am (PDT), 2:00pm (EDT), 8:00pm (CET) Single-cell genomics has facilitated the understanding of mechanisms involved in various biological processes such as tumor...
Spinal muscular atrophy (SMA) is a devastating neuromuscular disease caused by mutations in the SMN1 gene that reduce survival motor neuron (SMN) protein expression. Despite progress in the...
Date: April 25, 2023 Time: 10:00am (PDT), 1:00pm (EDT), 7:00pm (CEST) The presynaptic protein alpha-synuclein (α-syn) is associated with Parkinson’s disease and Lewy body dementi...
Date: April 11, 2023 Time: 8:00am (PDT), 11:00am (EDT), 5:00pm (CEST) Duchenne muscular dystrophy is caused by mutations in the dystrophin encoding DMD gene that disrupt the reading frame. M...
Date: April 04, 2023 Time: 10:00pm (PDT), Date: April 05, 2023 Time: 2:00am (EDT), 7:00am (CEST), 1:00pm (SGT) This seminar provides an overview of fluorescence microscopy in cancer research...
Spatial mapping of pain-associated G-Protein coupled receptors and bio-marker localization in mouse brain using RNAscope HiPlex v2 and RNA-Protein Co-Detection Assays....
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...
Artificial neural networks can be useful for studying brain functions. In cognitive neuroscience, recurrent neural networks are often used to model cognitive functions. I will first offer my...
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...
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...
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...
Disability activists have sometimes claimed their disability has actually increased their well-being. Some even say they would reject a cure to keep these gains. Yet, these same activists of...
Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building...
Selective vulnerability of brain regions and specific neural populations in neurodegeneration remains little understood. We hypothesize that pre-existing physiological differences in neurons...
Alzheimer’s and Parkinson’s diseases (AD, PD) are the two most common neurodegenerative disorders. Both diseases are characterized by abnormal aggregates in the brain, which incl...
Black Americans have an increased risk for age-related cognitive decline and Alzheimer's disease (AD) compared to other ethnic and racialized groups. However, risk factors for age-relate...
Human induced pluripotent stem cells (iPSCs) are immortal cell lines that can be derived from skin or blood of any individual. Their unique property of pluripotency means they can be differe...
Some of the earliest symptoms of Alzheimer’s disease (AD) are loss of orientation, wandering and misplacing items. One of the first regions vulnerable to AD pathology is the entorhinal...
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...
In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement require...
Mild traumatic brain injuries (mTBIs) are a prevalent health issue in North America. There is increasing pressure to utilize ecologically valid models of closed-head mTBI in the preclinical...
Natural Language Processing is experiencing a phenomenal capabilities acceleration since the introduction of Large Language Models (LLMs). This success stems in part from the ability to inge...