Search for tag: "center."

Santosh Vempala - Emergent Computation and Learning from Assemblies of Neurons

Despite breathtaking advances in ML, and in our understanding of the brain at the level of neurons, synapses, and neural circuits, we lack a satisfactory explanation for the brain's performance…

From  Steven Marzec 5 plays 0  

Takaki Komiyama - Motor Cortex Circuits for Movement Control and Learning

Animals constantly modify their behavior through experience. Flexible behavior is key to our ability to adapt to the ever-changing environment. My laboratory is interested in studying the activity of…

From  Steven Marzec 10 plays 0  

Michelle J. Johnson - Feasibility and acceptability of using affordable robots for persons with motor and/or cognitive impairments in low-resource settings

Robots in Medicine are here to stay. While their use in medicine and rehabilitation is increasing in high income countries, there is still a need to find ways to extend their utility to more diverse…

From  Katie Gentilello 5 plays 0  

Douglas Weber - Neural prostheses for restoring sensory and motor functions

Significant advances in materials and microelectronics over the last decade have enabled clinically relevant neurotechnologies that measure and regulate neural activity in the brain, spinal cord, and…

From  Katie Gentilello 29 plays 0  

Mark Churchland - From Spikes to Factors: Understanding Large-scale Neural Computations

It is widely accepted that human cognition is the product of spiking neurons. Yet even for basic cognitive functions, such as the ability to make decisions or prepare and execute a voluntary…

From  Katie Gentilello 20 plays 0  

Aadeel Akhtar - PSYONIC - Advances in Commercial Sensorimotor Bionic Limbs

Commercially available bionic limbs have been far behind the state-of-the-art research that has been developed at academic institutions around the world. PSYONIC's Ability Hand was developed to…

From  Katie Gentilello 15 plays 0  

Adam Hantman - Neural Basis for Skilled Movements

Skillful movements contribute to the major functions of the brain, such as perception and manipulation of the world. Skill involves understanding the world, developing appropriate plans, converting…

From  Katie Gentilello 38 plays 0  

Matthew D. Johnson - Modulation of Pathways with Deep Brain Stimulation

Recent advances in neurotechnology for basic science research and healthcare have created new and exciting opportunities to interface with our nervous system. Deep brain stimulation (DBS) is one…

From  Katie Gentilello 27 plays 0  

Mario Penzo - The Role of the Paraventricular Thalamus in Fear

Fear learning is associated with the expression of defensive behaviors upon fear memory retrieval. In rodents, these behaviors range from reactions such as freezing, to instrumental responses like…

From  Katie Gentilello 34 plays 0  

Thurmon Lockhart - Movement Complexity and Falls

In this presentation, previously funded NSF/BRAIN projects related to validating a wearable fall risk assessment tool will be discussed. These studies investigated capabilities of using a wearable…

From  Katie Gentilello 15 plays 0  

Christopher Rozell - Peeking Inside Black Boxes: Understanding Depression Recovery with Deep Brain Stimulation Using Explainable AI

Simultaneous advances in neural interfacing and data science have created a remarkable opportunity to reshape our understanding of the brain in health and disease. Unfortunately, the most powerful…

From  Katie Gentilello 57 plays 0  

BJ Casey - Developmental Cognitive Neuroscience in an Age of Discovery

Just as the brain changes over the life course to meet unique challenges and make new discoveries at each developmental phase, so too is the field of cognitive neuroscience changing. Over the years,…

From  Katie Gentilello 37 plays 0  

Anqi Wu - Understand The Brain Using Interpretable Machine Learning Models

Computational neuroscience is a burgeoning field embracing exciting scientific questions, a deluge of data, an imperative demand for quantitative models, and a close affinity with artificial…

From  Katie Gentilello 18 plays 0  

Frank Tong - Investigating the basis of noise-robust object recognition in humans and convolutional neural networks

It has been claimed that convolutional neural networks (CNNs) have now achieved human-level performance at object recognition tasks. However, modest changes to the object stimuli or to the viewing…

From  Katie Gentilello 2 plays 0  

Kamesh Munagala - Group Fairness in Combinatorial Optimization

Consider the following classical network design model. There are n clients in a multi-graph with a single sink node. Each edge has a cost to buy, and a length if bought; typically, costlier edges…

From  Katie Gentilello 1 plays 0  

Todd E. White - Lessons Learned from Behavioral and Molecular Characterization of Chronic Preclinical TBI

As many as 30% of Veterans have suffered traumatic brain injury (TBI). Even with mild TBI (mTBI), the effects of the injury can be detrimental to the Veteran’s quality of life. Persistent…

From  Katie Gentilello 14 plays 0