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.
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
This talk provides a brief overview of funding opportunities for invasive device development for translation to clinical populations supported by the NIH BRAIN Initiative....
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...
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...
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...
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...
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...
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...
Robots are useful tools for studying the nervous system and its control of body mechanics because they can be used to perform experiments that would be difficult to perform with an animal. F...
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...
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...
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...
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...
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...
The ultimate goal of neuroscience is to understand and explain real-world behavior in terms of brain activity, and to use these insights to develop therapeutic approaches for neural disorder...
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...
