Neural Recording, such as that done by electroencephalogram (EEG), is performed to measure activity in the brain by monitoring neurons. To perform neural recording, sensors are attached to the scalp where they monitor electrical signals produced by the brain. A machine records the electrical signals which can be reviewed by a healthcare professional to diagnosis injury, illness, and disease.
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...
Deep–Brain Stimulation (DBS) has become an effective means of treating a variety of neurological conditions. Most DBS systems work are "open-loop," and apply constant stimula...
In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement require...
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...
Treatment-resistant depression is an immense source of disability and suffering, and represents a major unmet clinical need for innovative and effective therapies. Deep brain stimulation tri...
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...
Brain wave synchronization, also called neuronal coherence, is a fundamental mechanism of communication in the brain, where synchronized field potentials coordinate synaptic and spiking even...
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...
Detection of neural signatures related to pathological behavioral states could enable adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for neurologic...
While our lives unfold over time, weaving dynamic information into continuous experience, our memories are organized as discrete events. Detection of cognitive boundaries is critical for seg...
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...
Understanding how populations of neurons work together to represent stimuli, build percepts, and generate complex behaviors, is a fundamental challenge in neuroscience. To establish a link b...
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...
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...
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...
Our work focuses on developing an optical brain-machine interface capable of interacting with neural activity in real-time. In this talk, I will describe our progress toward building the com...
The BRAIN Initiative has enabled the development of novel neural recording tools that can benefit many labs, but are difficult to transition to industry for a variety of reasons. Here we ass...
DATE: March 24, 2020 TIME: 11:00am PT, 2:00pm ET While in vitro cell culture has long been used to study neurological diseases, researchers have come to the realization that 2-D systems do n...
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...
Brain machine interfaces (BMIs) aim to help patients with paralysis to use their recorded brain activity to control assistive devices. BMI research requires the collaboration of neuroscienti...
Approximately 300,000 people in the United States have a spinal cord injury with many of these individuals experiencing permanent motor and sensory deficits. For individuals with cervical sp...
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...
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...
Deep–Brain Stimulation (DBS) has become an effective means of treating a variety of neurological conditions. Most DBS systems work are "open-loop," and apply constant stimula...
In this talk, I will discuss the development of interpretable machine learning models to test scientific hypotheses, with a specific focus on spinal motor control. Voluntary movement require...
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...
Treatment-resistant depression is an immense source of disability and suffering, and represents a major unmet clinical need for innovative and effective therapies. Deep brain stimulation tri...
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...
Brain wave synchronization, also called neuronal coherence, is a fundamental mechanism of communication in the brain, where synchronized field potentials coordinate synaptic and spiking even...
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...
Detection of neural signatures related to pathological behavioral states could enable adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for neurologic...
While our lives unfold over time, weaving dynamic information into continuous experience, our memories are organized as discrete events. Detection of cognitive boundaries is critical for seg...
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...
Understanding how populations of neurons work together to represent stimuli, build percepts, and generate complex behaviors, is a fundamental challenge in neuroscience. To establish a link b...
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...
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...
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...
Our work focuses on developing an optical brain-machine interface capable of interacting with neural activity in real-time. In this talk, I will describe our progress toward building the com...
The BRAIN Initiative has enabled the development of novel neural recording tools that can benefit many labs, but are difficult to transition to industry for a variety of reasons. Here we ass...
DATE: March 24, 2020 TIME: 11:00am PT, 2:00pm ET While in vitro cell culture has long been used to study neurological diseases, researchers have come to the realization that 2-D systems do n...
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...
Brain machine interfaces (BMIs) aim to help patients with paralysis to use their recorded brain activity to control assistive devices. BMI research requires the collaboration of neuroscienti...
Approximately 300,000 people in the United States have a spinal cord injury with many of these individuals experiencing permanent motor and sensory deficits. For individuals with cervical sp...
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...
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