Theoretical Physics: a branch of physics that employs mathematical models and abstractions of physical objects and systems to rationalize, explain and predict natural phenomena. This can involve both providing models for understanding empirical results or constructing self-logical theories for explain phenomena beyond current experiments. The advancement of science generally depends on the interplay between experimental studies and theory. Sir Isaac Newton was the first theoretical physicist, although in his own time his profession was called "natural philosophy".
Date: August 24, 2022 Time: 7:00am (PDT), 10:00pm (EDT), 4:00pm (CEST) Light field microscopy was first introduced in 2006, and allows users to capture the 4D light field within the microsco...
Date: July 14, 2022 Time: 8:00am (PDT), 11:00am (EDT), 5:00pm (CEST) Sensory perception is modulated in a top-down fashion by higher brain regions to regulate behavioral responses. In olfact...
Date: June 28, 2022 Time: 3:00pm (BST), 4:00pm (CET), 9:00am (CST), 7am (PST) Light-sheet microscopy is an extremely versatile imaging technique with a vast range of implementations that are...
Date: June 21, 2022 Time: 6:00am (PDT), 9:00am (EDT), 3:00pm (CEST) The global understanding and practice of medicine is currently undergoing a revolutionary change. This shift to precision...
The human genome encodes 25,000 genes. But the biological complexity inherent in polygenic traits is a clear sign that the whole is greater than the sum of its parts. Genes, gene products, a...
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...
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...
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...
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...
Working memory (the ability to hold some information in mind for a few seconds, and to manipulate that information) and decision-making (committing to one out of multiple possible choices) a...
Episodic memories are essential for human cognition, but the underlying neural mechanisms remain poorly understood. We utilize the opportunity to record in-vivo from human single neurons sim...
Mechanistic understanding of neural systems is daunting to achieve in large part due to the heterogeneity of the neuronal elements in both form and function and the complexity of the circuit...
Brain function is remarkably reliable despite the imprecise performance of neurons, and the continuous perturbations caused by aging, disease or injury. How does the brain succeed in produci...
Chromatography is the first choice in separation technique for a wide selection of applications, across many fields, ranging from simple to highly complex extracts. The main rationale for it...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
Date: August 24, 2022 Time: 7:00am (PDT), 10:00pm (EDT), 4:00pm (CEST) Light field microscopy was first introduced in 2006, and allows users to capture the 4D light field within the microsco...
Date: July 14, 2022 Time: 8:00am (PDT), 11:00am (EDT), 5:00pm (CEST) Sensory perception is modulated in a top-down fashion by higher brain regions to regulate behavioral responses. In olfact...
Date: June 28, 2022 Time: 3:00pm (BST), 4:00pm (CET), 9:00am (CST), 7am (PST) Light-sheet microscopy is an extremely versatile imaging technique with a vast range of implementations that are...
Date: June 21, 2022 Time: 6:00am (PDT), 9:00am (EDT), 3:00pm (CEST) The global understanding and practice of medicine is currently undergoing a revolutionary change. This shift to precision...
The human genome encodes 25,000 genes. But the biological complexity inherent in polygenic traits is a clear sign that the whole is greater than the sum of its parts. Genes, gene products, a...
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...
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...
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...
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...
Working memory (the ability to hold some information in mind for a few seconds, and to manipulate that information) and decision-making (committing to one out of multiple possible choices) a...
Episodic memories are essential for human cognition, but the underlying neural mechanisms remain poorly understood. We utilize the opportunity to record in-vivo from human single neurons sim...
Mechanistic understanding of neural systems is daunting to achieve in large part due to the heterogeneity of the neuronal elements in both form and function and the complexity of the circuit...
Brain function is remarkably reliable despite the imprecise performance of neurons, and the continuous perturbations caused by aging, disease or injury. How does the brain succeed in produci...
Chromatography is the first choice in separation technique for a wide selection of applications, across many fields, ranging from simple to highly complex extracts. The main rationale for it...
As the most common female malignancy, breast cancer is the most likely reason that a woman will die of cancer around the world. Breast cancer mortality has dropped in the U.S. by 35% since 19...
Lung cancer is the leading cause of cancer-related mortality worldwide. Large-scale sequencing studies have revealed the complex genomic landscape of NSCLC and genomic differences between lun...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
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