Independent component analysis at the neural cocktail party

Trends in Neurosciences

Volumn 24, Issue 1, 2001, Pages 54-63

  Brown, G D ^a   Yamada, S ^a   Sejnowski, T J ^a  

^a SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ANTENNA; ARTIFACT; CELL SEPARATION; ELECTROENCEPHALOGRAM; MEMBRANE POTENTIAL; NERVE CELL; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REVIEW; TECHNIQUE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; LINEAR MODELS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS;

EID: 0035054585     PISSN: 01662236     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0166-2236(00)01683-0     Document Type: Article

References (55)

1. Some experiments on the recognition of speech, with one and with two ears
2. Blind beamforming for non-Gaussian signals
3. Independent component analysis, a new concept?
4. An information-maximisation approach to blind separation and blind deconvolution
5. A new learning algorithm for blind signal separation
6. 448-Detector optical recording system: Development and application to Aplysia gill-withdrawal reflex
7. Multi-neuronal signals from the retina: Acquisition and analysis
8. Single unit recording capabilities of a 100 microelectrode array
9. Reconstructing the engram: Simultaneous, multisite, many single neuron recordings
10. Voltage-sensitive dyes for monitoring multineuronal activity in the intact central nervous system
11. Motor pools in the Tritonia swimming neural network revealed by optical recording
12. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
13. Multispike train analysis
14. Application of optimal multichannel filtering to simulated nerve signals
15. Automatic wave form classification of extracellular multineuron recordings
16. A review of methods for spike sorting: The detection and classification of neural action potentials
17. Variability of extracellular spike waveforms of cortical neurons
18. Classification of non-stationary neural signals
19. The stereotrode: A new technique for simultaneous isolation of several single units in the central nervous system from multiple unit records
20. Cross channel correlations in tetrode recordings: Implications for spike-sorting
21. Axonal trees and cortical architecture
22. Neural component placement
23. Optimal sizes of dendritic and axonal arbors in a topographic projection
24. Motor organization of Tritonia swimming. I. Quantitative analysis of swim behavior and flexion neuron firing patterns
25. Isolated-brain parallels to simple types of learning and memory in Tritonia
26. Data processing for multi-channel optical recording: Action potential detection by neural network
27. Improved indicators of cell membrane potential that use fluorescence resonance energy transfer
28. Learning overcomplete representations
29. A fast fixed-point algorithm for independent component analysis
30. Independent component analysis using autoregressive models
31. Independent factor analysis
32. Superefficiency in blind source separation
33. Spatially independent activity patterns in functional magnetic resonance imaging data during the Stroop color-naming task
34. Independent component analyses for quantifying neuronal ensemble interactions
35. Cortical ensemble activity increasingly predicts behavior outcomes during learning of a motor task
36. Blind separation of convolved sources based on information maximization
37. Blind source separation and deconvolution: The dynamic component analysis algorithm
38. The tetrode: A new technique for multi-unit extracellular recording
39. Blind separation of auditory event-related brain responses into independent components
40. A simple coding procedure enhances a neuron's information capacity
41. Local synaptic learning rules suffice to maximize mutual information in a linear network
42. A neural cocktail-party processor
43. Modality-specific frontal and parietal areas for auditory and visual spatial localization in humans
44. Unsupervised learning
45. Predictive coding: A fresh view of inhibition in the retina
46. An optimal estimation approach to visual perception and learning
47. Toward a theory of early visual processing
48. Multineuronal codes in retinal signaling
49. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
50. The 'independent components' of natural scenes are edge filters
51. Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex