David Herzfeld

Department:
Neuroscience

Education:
2016 – Ph.D. Johns Hopkins University, Department of Biomedical Engineering
2011 – M.S. Marquette University, Department of Biomedical Engineering
2010 – B.S. Marquette University, Department of Biomedical Engineering

Research Description: Neural Circuits for Adaptive Behavior

The Herzfeld Lab is broadly interested in understanding how neural circuits perform computations that support movement, learning, decision-making, and higher-order cognitive processes. We frequently use motor control tasks, such as eye and limb movements, to link neural computations to behavior. Our focus on motor control is motivated by the fact that movement is readily observable, quantifiable, and tightly linked to neural activity. However, we are also interested in the neural circuits underlying other measurable, non-motor behaviors.

In addition to understanding how circuits drive behavior, we are fundamentally interested in the mechanisms of learning and memory, from synaptic plasticity to dynamic changes in population-level dynamics.

To investigate how circuits control behavior, and how they are modified through learning, we combine large-scale extracellular recordings, including single-unit neurophysiology and local field potentials, with causal manipulation techniques such as optogenetics, pharmacology, and electrical microstimulation, all performed in awake, behaving nonhuman primates. This approach allows us to causally probe the role of specific neural populations in real time.

A central feature of our work is the integration of computational modeling, machine learning, and AI-based analysis to extract fundamental principles of brain function from complex, high-dimensional neural and behavioral datasets. Our lab encourages students to engage deeply with both experimental and computational neuroscience.

Research Key Words:
Neurophysiology, Motor Control, Computational Neuroscience, Neural Circuits, Circuit Dissection

Link to Lab Website

Link to Publications