Mathematical Physics: the application of mathematics to problems in physics and the development of mathematical methods suitable for such applications and for the formulation of physical theories. It is a branch of applied mathematics, but deals with physical problems. Mathematical physics seeks to apply rigorous mathematical ideas to problems in physics, or problems inspired by physics. As such, it is a remarkably broad subject. Mathematics and Physics are traditionally very closely linked subjects.
Understanding the order in which mutations accumulate during cancer progression could help us identify effective therapeutic targets. Yet, our insights are limited by the fact that we can on...
Computational or mathematical modeling generally refers to a mechanism-based formalism that help us test hypotheses, expand our understanding of a system, or make mechanism-aware predictions...
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...
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...
Date: April 15, 2021 Time: 7:00am (PDT), 10:00am (EDT) In widefield fluorescence microscopy both the contrast and resolution of a captured image is corrupted by light collected from adjacent...
As ‘omics research advances, separations data such as chromatograms and nuclear magnetic resonance (NMR) spectra are being used as direct inputs to machine-learning algorithms ranging...
Protein structural disorder helps avoid misfolding and aggregation, but in impeding protein folding might also impede function. The balance between these two selective pressures on protein b...
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...
The neural basis of simple rhythmic and reflexive behaviors such as swimming and gill withdrawal have been successfully studied in nudibranchs and other gastropod molluscs because the brains...
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...
In Andalman et al, 2018, we explored the activity of over 10,000 neurons across more than 15 regions imaged simultaneously in larval zebrafish in a novel behavioral challenge paradigm. Compl...
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...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
Understanding the order in which mutations accumulate during cancer progression could help us identify effective therapeutic targets. Yet, our insights are limited by the fact that we can on...
Computational or mathematical modeling generally refers to a mechanism-based formalism that help us test hypotheses, expand our understanding of a system, or make mechanism-aware predictions...
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...
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...
Date: April 15, 2021 Time: 7:00am (PDT), 10:00am (EDT) In widefield fluorescence microscopy both the contrast and resolution of a captured image is corrupted by light collected from adjacent...
As ‘omics research advances, separations data such as chromatograms and nuclear magnetic resonance (NMR) spectra are being used as direct inputs to machine-learning algorithms ranging...
Protein structural disorder helps avoid misfolding and aggregation, but in impeding protein folding might also impede function. The balance between these two selective pressures on protein b...
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...
The neural basis of simple rhythmic and reflexive behaviors such as swimming and gill withdrawal have been successfully studied in nudibranchs and other gastropod molluscs because the brains...
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...
In Andalman et al, 2018, we explored the activity of over 10,000 neurons across more than 15 regions imaged simultaneously in larval zebrafish in a novel behavioral challenge paradigm. Compl...
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...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
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