Attention modulation of neural tuning through peak and base rate in correlated firing

Neural Networks

Volumn 15, Issue 1, 2002, Pages 41-55

  Nakahara, H ^a   Amari, S I ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Attention; Correlated firing; Encoding accuracy; Fisher information; Multiplicative response; Unfaithful model

Indexed keywords

DECODING; MODULATION;

NEURAL TUNING;

NEURAL NETWORKS;

ACCURACY; ARTICLE; ATTENTION; CELL POPULATION; NERVE POTENTIAL; NERVE STIMULATION; NORMAL DISTRIBUTION; PRIORITY JOURNAL; TUNING CURVE;

EID: 0036123361     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00126-5     Document Type: Article

References (69)

1. The effect of correlated variability on the accuracy of a population code
2. Neurobiological computational systems
3. The analysis of visual motion: A comparison of neuronal and psychophysical performance
4. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells
5. Mutual information. Fisher information, and population coding
6. Function of the thalamic reticular complex: The searchlight hypothesis
7. The significance of neural ensemble codes during behavior and cognition
8. The variability of discharge of simple cells in the cat striate cortex
9. Neural representation and the cortical code
10. Reading population codes: A neural implementation of ideal observers
11. Neural mechanisms of selective visual attention
12. Multidimensional encoding strategy of spiking neurons
13. How independent are the messages carried by adjacent inferior temporal cortical neurons?
14. Coding strategies in monkey v1 and inferior temporal cortices
15. State dependent activity in monkey visual cortex - I: Single cell activity in V1 and V4 on visual tasks
16. Feedback interactions between neuronal pointers and maps for attentional processing
17. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque
18. Shifts in selective visual attention: Towards the underlying neural circuitry
19. Attention activates winner-take-all competition among visual filters
20. Network model of shape-from-shading: Neural function arises from both receptive and projective fields
21. Seeing white: Qualia in the context of decoding population codes
22. Neural mechanisms of spatial selective attention in areas V1, V2 and V3 of macaque visual vortex
23. Attention modulates tuning curves from two stimuli inside the receptive field of MT/MST cells in the macaque monkey
24. Neuronal interactions improve cortical population coding of movement direction
25. Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4
26. Effects of attention on the reliability of individual neurons in monkey visual cortex
27. Attention to both space and feature modulates neuronal responses in macaque area v4
28. Selective attention gates visual processing in the extrastriate cortex
29. Focal attention produces spatially selective processing visual cortical areas V1, V2, and V4 in the presence of competing stimuli
30. Attention modulation of neural tuning through peak and base rate
31. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
32. The 'ideal homunculus' decoding neural population signals
33. A theory for use of visual orientation information which exploits the columnar structure of striate cortex
34. Sense and the single neuron: Probing the physiology of perception
35. Computation of the exact information matrix of Gaussian time series with stationary random components
36. The attention system of the human brain
37. Statistically efficient estimation using population coding
38. Narrow versus wide tuning curves: What's best for a population code
39. The role of neural mechanisms of attention in solving the binding problem
40. Competitive mechanisms subserve attention in macaque areas V2 and V4
41. Attention increases sensitivity of v4 neurons
42. Vector reconstruction from firing rates
43. Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons
44. Simple models for reading neuronal population codes
45. A computational analysis of the relationship between neuronal and behavioral responses to visual motion
46. A model of neuronal responses in visual area mt
47. Parameter extraction from population codes: A critical assessment
48. Increased attention enhances both behavioral and neuronal performance
49. Perceptual and motor processing stages identified in the activity of macaque frontal eye field neurons during visual search
50. The statistical reliability of signals in single neurons in cat and monkey visual cortex
51. Attentional modulation of visual motion processing in cortical areas MT and MST
52. Feature-based attention influences motion processing gain in macaque visual cortex
53. Effects of attention on the processing of motion in macaque middle temporal and medial superior temporal visual cortical areas
54. How well do response changes of striate neurons signal differences in orientation: A study in the discriminating monkey
55. The response variability of striate cortical neurons in the behaving monkey
56. Representational accuracy of stochastic neural populations
57. Unfaithful population coding
58. Population decoding based on an unfaithful model
59. Population coding and decoding in a neural field: A computational study
60. Population coding with correlation and an unfaithful model
61. The effect of correlations on the Fisher information of population codes
62. Probabilistic interpretation of population codes
63. Neural tuning: To sharpen or broaden
64. Interpreting neuronal population activity by reconstruction: Unified framework with application tohippocampal place cells
65. Correlated neuronal discharge rate and its implications for psychophysical performance
66. Population coding of visual stimuli by cortical neurons tuned to more than one dimension