365 citations · 1.1k across the 17 of their papers we have counts for
17 papers
State-switching navigation strategies in C. elegans are beneficial for chemotaxis
Kevin S. Chen, Andrew M. Leifer, Jonathan W. Pillow
Animals employ different strategies for relating sensory input to behavioral output to navigate sensory environments, but what strategy to use, when to switch and why remain unclea…
Measuring amount of computation done by C.elegans using whole brain neural activity
Junang Li, Andrew M. Leifer, David H. Wolpert
Many dynamical systems found in biology, ranging from genetic circuits to the human brain to human social systems, are inherently computational. Although extensive research has exp…
Diverging network architecture of the connectome and signaling network
Sophie Dvali, Caio Seguin, Richard Betzel +1
The connectome describes the complete set of synaptic contacts through which neurons communicate. While the architecture of the connectome has been extensivel…
Olfactory learning alters navigation strategies and behavioral variability in C. elegans
Kevin S. Chen, Anuj K. Sharma, Jonathan W. Pillow +1
Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest…
Continuous odor profile monitoring to study olfactory navigation in small animals
Kevin S. Chen, Rui Wu, Marc H. Gershow +1
Olfactory navigation is observed across species and plays a crucial role in locating resources for survival. In the laboratory, understanding the behavioral strategies and neural c…
Inhibitory feedback from the motor circuit gates mechanosensory processing in C. elegans
Sandeep Kumar, Anuj K Sharma, Andrew Tran +1
Animals must integrate sensory cues with their current behavioral context to generate a suitable response. How this integration occurs is poorly understood. Previously we developed…
Neural signal propagation atlas of C. elegans
Francesco Randi, Anuj K. Sharma, Sophie Dvali +1
A fundamental problem in neuroscience is understanding how a network's properties dictate its function. Connectomics provides one avenue to predict nervous system function. To test…
Correcting motion induced fluorescence artifacts in two-channel neural imaging
Matthew S. Creamer, Kevin S. Chen, Andrew M. Leifer +1
Imaging neural activity in a behaving animal presents unique challenges in part because motion from an animal's movement creates artifacts in fluorescence intensity time-series tha…
Closed-loop targeted optogenetic stimulation of C. elegans populations
Mochi Liu, Sandeep Kumar, Anuj K Sharma +1
We present a high-throughput optogenetic illumination system capable of simultaneous closed-loop light delivery to specified targets in populations of moving Caenorhabditis elegans…
Large-scale neural recordings call for new insights to link brain and behavior
Anne E. Urai, Brent Doiron, Andrew M. Leifer +1
Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and beha…
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training
Xinwei Yu, Matthew S. Creamer, Francesco Randi +3
We present an automated method to track and identify neurons in C. elegans, called "fast Deep Learning Correspondence" or fDLC, based on the transformer network architecture. The m…
Nonequilibrium Green's functions for functional connectivity in the brain
Francesco Randi, Andrew M. Leifer
A theoretical framework describing the set of interactions between neurons in the brain, or functional connectivity, should include dynamical functions representing the propagation…
Searching for collective behavior in a small brain
Xiaowen Chen, Francesco Randi, Andrew M. Leifer +1
In large neuronal networks, it is believed that functions emerge through the collective behavior of many interconnected neurons. Recently, the development of experimental technique…
Temporal processing and context dependency in C. elegans mechanosensation
Mochi Liu, Anuj K Sharma, Joshua W Shaevitz +1
A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computati…
Automatically tracking neurons in a moving and deforming brain
Jeffrey P. Nguyen, Ashley N. Linder, George S. Plummer +2
Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals. Brain motion in these recordings pose a…
Simultaneous optogenetic manipulation and calcium imaging in freely moving C. elegans
Frederick B. Shipley, Christopher M. Clark, Mark J. Alkema +1
A fundamental goal of systems neuroscience is to probe the dynamics of neural activity that drive behavior. Here we present an instrument to simultaneously manipulate neural activi…
Optogenetic manipulation of neural activity in C. elegans: from synapse to circuits and behavior
Steven J. Husson, Alexander Gottschalk, Andrew M. Leifer
The emerging field of optogenetics allows for optical activation or inhibition of neurons and other tissue in the nervous system. In 2005 optogenetic proteins were expressed in the…