Neural Network is a network or circuit of neurons, or in a modern sense, an artificial neural network that is composed of artificial neurons or nodes which are designed to recognize patterns.
This talk will present the methodology of using the guided ultrasonic waves generated by the rodent to track its physiology, behavior, and psychological state. When behaving in an environmen...
Behaving animals continually reconcile the internal states of their neural circuits brain-wide with incoming sensory and environmental evidence to evaluate when and how to act. The brains of...
Our ability to record large-scale neural and behavioral data has substantially improved in the last decade. However, the inference of quantitative dynamical models for cognition and motor co...
Social animals congregate in groups and communicate with vocalizations. To study the dynamics of natural vocal communication and their neural basis, one must characterize signals used for co...
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...
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...
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...
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...
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...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural...
Date: October 25, 2022 Time: 11:00am (PST), 2:00pm (EST), 8:00pm (CEST) Candida auris is a multi-drug resistant yeast that continues to be a global threat for infection and transmission in h...
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...
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...
We are in critical need of targeted and individualized treatments for mental health disorders, which affect nearly 50% of Americans during our lifetimes. Brain stimulation treatments, includ...
Date: October 26, 2021 Time: 6:00am (PDT), 9:00am (EDT), 3:00pm (CEST) With the IR Biotyper®, Dr. Markus Meyer will introduce the audience into the world of FT-IR (Fourier Transform Infr...
In 1910, Harrison published the first report of frog embryonic sympathetic ganglia grown in hanging drops of lymph for a few days, where single neurons extended nerve fibers with complex gro...
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...
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...
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...
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...
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...
Nanopore sequencing has enormous potential in epigenetic applications; unlike traditional sequencing-by-synthesis technologies, it can distinguish covalently modified nucleotides directly th...
Date: November 10, 2020 Time: 5:00am (PST), 8:00am (EST), 2:00pm (CET) Dr. Stefan Zimmermann will talk about the use of Fourier Transform Infrared Spectroscopy for fast and reliable typing o...
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...
This talk will present the methodology of using the guided ultrasonic waves generated by the rodent to track its physiology, behavior, and psychological state. When behaving in an environmen...
Behaving animals continually reconcile the internal states of their neural circuits brain-wide with incoming sensory and environmental evidence to evaluate when and how to act. The brains of...
Our ability to record large-scale neural and behavioral data has substantially improved in the last decade. However, the inference of quantitative dynamical models for cognition and motor co...
Social animals congregate in groups and communicate with vocalizations. To study the dynamics of natural vocal communication and their neural basis, one must characterize signals used for co...
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...
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...
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...
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...
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...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural...
Date: October 25, 2022 Time: 11:00am (PST), 2:00pm (EST), 8:00pm (CEST) Candida auris is a multi-drug resistant yeast that continues to be a global threat for infection and transmission in h...
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...
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...
We are in critical need of targeted and individualized treatments for mental health disorders, which affect nearly 50% of Americans during our lifetimes. Brain stimulation treatments, includ...
Date: October 26, 2021 Time: 6:00am (PDT), 9:00am (EDT), 3:00pm (CEST) With the IR Biotyper®, Dr. Markus Meyer will introduce the audience into the world of FT-IR (Fourier Transform Infr...
In 1910, Harrison published the first report of frog embryonic sympathetic ganglia grown in hanging drops of lymph for a few days, where single neurons extended nerve fibers with complex gro...
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...
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...
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...
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...
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...
Nanopore sequencing has enormous potential in epigenetic applications; unlike traditional sequencing-by-synthesis technologies, it can distinguish covalently modified nucleotides directly th...
Date: November 10, 2020 Time: 5:00am (PST), 8:00am (EST), 2:00pm (CET) Dr. Stefan Zimmermann will talk about the use of Fourier Transform Infrared Spectroscopy for fast and reliable typing o...
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...
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