about
The BRAIN Initiative: developing technology to catalyse neuroscience discovery.Past, present and future of spike sorting techniquesInvisible Brain: Knowledge in Research Works and Neuron ActivitySpike sorting for large, dense electrode arraysSpike sorting for polytrodes: a divide and conquer approachSpike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the RetinaPhysical principles for scalable neural recording.Predictive information in a sensory population.Thermodynamics and signatures of criticality in a network of neurons.Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution.Complexity optimization and high-throughput low-latency hardware implementation of a multi-electrode spike-sorting algorithmSlow waves, sharp waves, ripples, and REM in sleeping dragons.A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings.Revealing neuronal function through microelectrode array recordingsNeuroGrid: recording action potentials from the surface of the brain.Searching for collective behavior in a large network of sensory neuronsAnatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.High Accuracy Decoding of Dynamical Motion from a Large Retinal PopulationConsensus-Based Sorting of Neuronal Spike WaveformsError-Robust Modes of the Retinal Population Code.A Molecular Code for Identity in the Vomeronasal System.Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays.Identifying functional bases for multidimensional neural computations.Alert response to motion onset in the retina.Robust encoding of stimulus identity and concentration in the accessory olfactory systemA Tractable Method for Describing Complex Couplings between Neurons and Population Rate.Probing the functional impact of sub-retinal prosthesis.Sorting Overlapping Spike Waveforms from Electrode and Tetrode Recordings.Recent progress in multi-electrode spike sorting methods.On the Mathematical Consequences of Binning Spike Trains.Robust spike sorting of retinal ganglion cells tuned to spot stimuliClustering of neural code words revealed by a first-order phase transition.Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.Nonlinear Spatiotemporal Integration by Electrical and Chemical Synapses in the Retina.Spike sorting of synchronous spikes from local neuron ensembles.Test statistics for the identification of assembly neurons in parallel spike trains.Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization.High-dimensional cluster analysis with the masked EM algorithm.Rapid mapping of visual receptive fields by filtered back projection: application to multi-neuronal electrophysiology and imaging.Signatures of criticality arise from random subsampling in simple population models.
P2860
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P2860
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Mapping a complete neural population in the retina
@en
type
label
Mapping a complete neural population in the retina
@en
prefLabel
Mapping a complete neural population in the retina
@en
P2093
P2860
P1476
Mapping a complete neural population in the retina
@en
P2093
Dario Amodei
Frederick Soo
Kolia Sadeghi
Michael J Berry
Timothy E Holy
P2860
P304
14859-14873
P356
10.1523/JNEUROSCI.0723-12.2012
P407
P577
2012-10-01T00:00:00Z