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.
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...
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...
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...
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...
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...
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...
Parkinson’s disease (PD) belongs the group of synucleinopathies characterized by progressive aggregation of the neuronal protein alpha-synuclein (asyn). Diagnosis and evidence of disea...
Learning Objections: 1. To learn a new approach to understanding brain function by creating networks to perform tasks using machine learning. 2. To learn how how to probe these networks to d...
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...
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...
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...
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...
Brain organoids are self-assembled three-dimensional cellular aggregates with cell types and tissue architectures that resemble the embryonic human brain. As they recapitulate many key featu...
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...
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...
Many nonhuman primate species show sex differences in behavior, which suggests that there may also be sex differences in brain organization. In order to better understand the evolution of se...
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...
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...
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...
To make movement and foraging decisions in a naturalistic environment, multiple neural populations must work synergistically to produce successful actions. These decisions span multiple scal...
The nervous system of social species has evolved to perceive and evaluate signals within a social context. Social information therefore must impact how the brain processes information, yet l...
Altered enteric microorganisms in concert with host genetics shape inflammatory bowel disease (IBD) phenotypes. However, insight is limited to bacteria and fungi. We found that eukaryotic vi...
Learning Objectives: 1. Describe language disturbances in schizophrenia and its risk states. 2. Describe face expression disturbances in schizophrenia and its risk states. 3. Describe ethica...
Protein misfolding and aggregation are key features observed in numerous neurodegenerative conditions, such as Alzheimer's and Parkinson's disease. The oligomers formed during the ag...
Individuals with substance use disorders often show impaired sensitivity to reward value. However, it is not clear whether such impairment impacts reward-related decision making and whether...
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...
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