Now showing items 1-6 of 6
Mapping nonlinear receptive field structure in primate retina at single cone resolution.
The function of a neural circuit is shaped by the computations performed by its interneurons, which in many cases are not easily accessible to experimental investigation. Here, we elucidate the transformation of visual signals ...
The evolving capabilities of rhodopsin-based genetically encoded voltage indicators.
(Curr Opin Chem Biol, 2015-08)
Protein engineering over the past four years has made rhodopsin-based genetically encoded voltage indicators a leading candidate to achieve the task of reporting action potentials from a population of genetically targeted ...
Convergent differential regulation of SLIT-ROBO axon guidance genes in the brains of vocal learners.
(J Comp Neurol, 2015-04-15)
Only a few distantly related mammals and birds have the trait of complex vocal learning, which is the ability to imitate novel sounds. This ability is critical for speech acquisition and production in humans, and is attributed ...
Presynaptic Inputs to Any CNS Projection Neuron Identified by Dual Recombinant Virus Infection.
(PLoS One, 2015)
Although neuroanatomical tracing studies have defined the origin and targets of major projection neurons (PN) of the central nervous system (CNS), there is much less information about the circuits that influence these neurons. ...
Transsynaptic Tracing from Peripheral Targets with Pseudorabies Virus Followed by Cholera Toxin and Biotinylated Dextran Amines Double Labeling.
(J Vis Exp, 2015-09-14)
Transsynaptic tracing has become a powerful tool used to analyze central efferents that regulate peripheral targets through multi-synaptic circuits. This approach has been most extensively used in the brain by utilizing ...
Building an organic computing device with multiple interconnected brains.
(Scientific reports, 2015-07-09)
Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing ...