University: is an institution of higher education and research which awards academic degrees. Universities typically provide undergraduate education and postgraduate education.
Emerging data from several expansive clinical trials indicates that common chronic vascular risk factors such as diabetes, hypertension, obesity, and age increase the risk of stroke and deme...
The increasing burden of neurological disorders as our population ages, together with the high personal and societal costs of mental and substance use disorders, underscores the need for new...
The misfolding of intrinsically disordered proteins (IDPs) such as tau and α-synuclein (αSyn) has been associated with the on-set and progression of Alzheimer’s (AD) and Pa...
Date: August 25, 2021 Time: 7:00am PDT DreamPrep NGS is a complete solution that combines the Fluent® Automation Workstation, the Infinite® F Nano+ plate reader and Tecan Genomics&rsq...
Over 40 tandem repeats undergo expansion events that lead to neurological disease. This number is likely an underestimate as many repeats are difficult to amplify using existing short read s...
Adolescence is a critical period for the developing brain, and binge drinking during this neuromaturation can result in enduring abnormal brain function and behavior. Repeated adolescent bin...
Alzheimer’s and Parkinson’s diseases (AD, PD) are the two most common neurodegenerative disorders. Despite their debilitating effects and increasing prevalence in society, no cur...
Drawing from the latest research and intervention practices, this presentation will address overcoming burn-out, compassion fatigue and vicarious trauma generally, and specifically as relate...
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...
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...
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...
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...
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...
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...
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...
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...
Learning Objectives: 1. Explore the neuroinvasive potential of SARS-CoV-2 2. Learn about possible consequences of neuroinvasion of SARS-CoV-2 3. Identify neuroimmune responses against SARS-C...
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...
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...
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...
Ataxia Telangiectasia, also known as A-T, is a devastating neuropediatric and genetic disorder for which there is no cure. Patients suffer from immune deficiency, cancer predisposition, and...
Parkinson’s disease (PD) is the second most common neurodegenerative disorder with multiple motor and non-motor symptoms. PD is characterized by the presence on proteinaceous neuronal...
Date: August 24, 2021 Time: 11:00am (PDT), 1:00pm (EDT) Electron-based dissociation mechanisms have shown great promise for advanced characterization of biomolecules. However, routine adopti...
Emerging data from several expansive clinical trials indicates that common chronic vascular risk factors such as diabetes, hypertension, obesity, and age increase the risk of stroke and deme...
The increasing burden of neurological disorders as our population ages, together with the high personal and societal costs of mental and substance use disorders, underscores the need for new...
The misfolding of intrinsically disordered proteins (IDPs) such as tau and α-synuclein (αSyn) has been associated with the on-set and progression of Alzheimer’s (AD) and Pa...
Date: August 25, 2021 Time: 7:00am PDT DreamPrep NGS is a complete solution that combines the Fluent® Automation Workstation, the Infinite® F Nano+ plate reader and Tecan Genomics&rsq...
Over 40 tandem repeats undergo expansion events that lead to neurological disease. This number is likely an underestimate as many repeats are difficult to amplify using existing short read s...
Adolescence is a critical period for the developing brain, and binge drinking during this neuromaturation can result in enduring abnormal brain function and behavior. Repeated adolescent bin...
Alzheimer’s and Parkinson’s diseases (AD, PD) are the two most common neurodegenerative disorders. Despite their debilitating effects and increasing prevalence in society, no cur...
Drawing from the latest research and intervention practices, this presentation will address overcoming burn-out, compassion fatigue and vicarious trauma generally, and specifically as relate...
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...
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...
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...
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...
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...
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...
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...
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...
Learning Objectives: 1. Explore the neuroinvasive potential of SARS-CoV-2 2. Learn about possible consequences of neuroinvasion of SARS-CoV-2 3. Identify neuroimmune responses against SARS-C...
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...
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...
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...
Ataxia Telangiectasia, also known as A-T, is a devastating neuropediatric and genetic disorder for which there is no cure. Patients suffer from immune deficiency, cancer predisposition, and...
Parkinson’s disease (PD) is the second most common neurodegenerative disorder with multiple motor and non-motor symptoms. PD is characterized by the presence on proteinaceous neuronal...
Date: August 24, 2021 Time: 11:00am (PDT), 1:00pm (EDT) Electron-based dissociation mechanisms have shown great promise for advanced characterization of biomolecules. However, routine adopti...
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