Computational Model: is a mathematical model in computational science that requires extensive computational resources to study the behavior of a complex system by computer simulation. The system under study is often a complex nonlinear system for which simple, intuitive analytical solutions are not readily available.
Speech neuroprostheses have the potential to restore communication to people living with paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density surface reco...
High-content screening (HCS) is an imaging-based, multi-parametric strategy used in drug development that generates rich datasets through multiplexing strategically chosen fluorescent dyes a...
Date: March 30, 2023 Time: 8:00am (PST), 11:00am (EST), 5:00pm (CET) Join the Gibco Cell Culture Heroes webinar featuring Heather Beasley, PhD as she presents "SLC25A46 as a Novel Mitoc...
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
Date: January 25, 2023 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CET) The field of proteomics is poised for a single-molecule revolution – enabling more comprehensive analysis of the...
Date: November 08, 2022 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) In this webinar, scientists from Araceli Biosciences examine how high content screening (HCS) needs have changed in th...
Date: December 06, 2022 Time: 8:00am (PST), 11:00pm (EST), 5:00pm (CET) Scientist must look beyond studying individual proteins and examine the structure and assembly of protein complexes wi...
Date: June 07, 2022 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST) Predictive Genomics (PG) is a powerful capability to help predict disease risk and understand drug responses to improve h...
Date: June 21, 2022 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CEST) The proteome is perhaps the most dynamic and valuable source of functional biological insight. Here, we introduce a novel...
Date: June 16, 2022 Time: 8:00am (PDT), 11:00pm (EDT), 5:00pm (CEST) Many researchers combine electrophysiological recordings with imaging applications, where a light source with high light...
Date: June 1, 2022 Time: 10:00am (PDT), 1:00pm (EDT), 7:00pm (CEST) The AI Microscopy Symposium, offers an unique forum for presenting and discussing the latest AI-based technologies and too...
Sex differences play an important role in development and progression of many diseases, and understanding how a disease differs between the sexes is essential for the advancement of preventi...
Neuroscience is experiencing an exciting era of integrating novel materials and tools to record neural activity made possible through significant advances in materials science, electrical en...
Behavior in complex environments requires decisions that flexibly combine stimulus representations with context, goals, and memory. Two key aspects of such cognitive flexibility are the retr...
In this session we will use a set of reads enriched for viral sequences and sequences from wastewater treatment plants. Specifically the aim is to assemble whole SARS-CoV-2 genomes from such...
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...
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...
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...
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...
Speech neuroprostheses have the potential to restore communication to people living with paralysis, but naturalistic speed and expressivity are elusive. Here we use high-density surface reco...
High-content screening (HCS) is an imaging-based, multi-parametric strategy used in drug development that generates rich datasets through multiplexing strategically chosen fluorescent dyes a...
Date: March 30, 2023 Time: 8:00am (PST), 11:00am (EST), 5:00pm (CET) Join the Gibco Cell Culture Heroes webinar featuring Heather Beasley, PhD as she presents "SLC25A46 as a Novel Mitoc...
In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant Networks (LTCs). Liquid neural networks are nonlinear state-space mo...
Date: January 25, 2023 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CET) The field of proteomics is poised for a single-molecule revolution – enabling more comprehensive analysis of the...
Date: November 08, 2022 Time: 9:00am (PST), 12:00pm (EST), 6:00pm (CET) In this webinar, scientists from Araceli Biosciences examine how high content screening (HCS) needs have changed in th...
Date: December 06, 2022 Time: 8:00am (PST), 11:00pm (EST), 5:00pm (CET) Scientist must look beyond studying individual proteins and examine the structure and assembly of protein complexes wi...
Date: June 07, 2022 Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST) Predictive Genomics (PG) is a powerful capability to help predict disease risk and understand drug responses to improve h...
Date: June 21, 2022 Time: 10:00am (PST), 1:00pm (EST), 7:00pm (CEST) The proteome is perhaps the most dynamic and valuable source of functional biological insight. Here, we introduce a novel...
Date: June 16, 2022 Time: 8:00am (PDT), 11:00pm (EDT), 5:00pm (CEST) Many researchers combine electrophysiological recordings with imaging applications, where a light source with high light...
Date: June 1, 2022 Time: 10:00am (PDT), 1:00pm (EDT), 7:00pm (CEST) The AI Microscopy Symposium, offers an unique forum for presenting and discussing the latest AI-based technologies and too...
Sex differences play an important role in development and progression of many diseases, and understanding how a disease differs between the sexes is essential for the advancement of preventi...
Neuroscience is experiencing an exciting era of integrating novel materials and tools to record neural activity made possible through significant advances in materials science, electrical en...
Behavior in complex environments requires decisions that flexibly combine stimulus representations with context, goals, and memory. Two key aspects of such cognitive flexibility are the retr...
In this session we will use a set of reads enriched for viral sequences and sequences from wastewater treatment plants. Specifically the aim is to assemble whole SARS-CoV-2 genomes from such...
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...
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...
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...
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...