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.
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Over the past five years there has been an explosion of research the deep learning field. Companies like Google, Facebook, and OpenAI have created neural networks that are significantly more...
During this seminar I will present details of my path from Beckman Scholar to MD-PhD, advanced training as a neurologist, then a neurointensivist, and the interleaving of additional research...
In the adult mammalian hippocampus, neurogenesis (in which new neurons are generated and integrated into the CNS) is believed to underlie learning and memory. Within the hippocampus, numerou...
Identifying the diversity of neuronal cell types of the nervous system is one of the main objectives of the BRAIN Initiative, with the vision that distinct neuronal identities will allow for...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Over the past five years there has been an explosion of research the deep learning field. Companies like Google, Facebook, and OpenAI have created neural networks that are significantly more...
During this seminar I will present details of my path from Beckman Scholar to MD-PhD, advanced training as a neurologist, then a neurointensivist, and the interleaving of additional research...
In the adult mammalian hippocampus, neurogenesis (in which new neurons are generated and integrated into the CNS) is believed to underlie learning and memory. Within the hippocampus, numerou...
Identifying the diversity of neuronal cell types of the nervous system is one of the main objectives of the BRAIN Initiative, with the vision that distinct neuronal identities will allow for...
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