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Found 6 papers, 0 papers with code
Adaptive stimulus selection for optimizing neural population responses
When recording from a population of neurons, it is usually not possible to find a single stimulus that maximizes the firing rates of all neurons.
Extracting Latent Structure From Multiple Interacting Neural Populations
Developments in neural recording technology are rapidly enabling the recording of populations of neurons in multiple brain areas simultaneously, as well as the identification of the types of neurons being recorded (e. g., excitatory vs. inhibitory).
Deterministic Symmetric Positive Semidefinite Matrix Completion
We consider the problem of recovering a symmetric, positive semidefinite (SPSD) matrix from a subset of its entries, possibly corrupted by noise.
Empirical models of spiking in neural populations
Neurons in the neocortex code and compute as part of a locally interconnected population.
Dynamical segmentation of single trials from population neural data
Simultaneous recordings of many neurons embedded within a recurrently-connected cortical network may provide concurrent views into the dynamical processes of that network, and thus its computational function.
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
We applied these methods to the activity of 61 neurons recorded simultaneously in macaque premotor and motor cortices during reach planning and execution.
