Dendritic inhibition enhances neural coding properties

Cerebral Cortex

Volumn 11, Issue 12, 2001, Pages 1144-1149

  Spratling, M W ^a   Johnson, M H ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CALCULATION; CODING; COMPETITION; DENDRITE; MODEL; NERVE CELL INHIBITION; NERVE FIBER; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; TASK PERFORMANCE;

EID: 0035181255     PISSN: 10473211     EISSN: None     Source Type: Journal    
DOI: 10.1093/cercor/11.12.1144     Document Type: Article

References (43)

1. Visual input evokes transient and strong shunting inhibition in visual cortical neurons
2. Effect, number and location of synapses made by single pyramidal cells onto aspiny interneurones of cat visual cortex
3. Masking fields: A massively parallel neural architecture for learning, recognizing, and predicting multiple groupings of patterned data
4. Adaptive network for optimal linear feature extraction
5. Forming sparse representations by local anti-Hebbian learning
6. Learning invariance from transformation sequences
7. The temporal correlation hypothesis of visual feature integration: Still alive and well
8. Competitive learning: From interactive activation to adaptive resonance
9. Synaptic function: Dendritic democracy
10. Diversity and dynamics of dendritic signalling
11. Inhibitory control of excitable dendrites in neocortex
12. Nonlinear interactions in a dendritic tree: Localization, timing, and role in information processing
13. The role of single neurons in information processing
14. Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
15. Generalization and exclusive allocation of credit in unsupervised category learning
16. Synaptic integration in an excitable dendritic tree
17. Information processing in dendritic trees
18. Why have dendrites? A computational perspective
19. Neural networks, principle components, and subspaces
20. Six principles for biologically based computational models of cortical cognition
21. Theoretical significance of dendritic trees for neuronal input-output relations
22. The role of neural mechanisms of attention in solving the binding problem
23. Neural computation and self-organizing maps
24. Complex microstructures of sensory cortical connections
25. The implementation of visual routines
26. Feature discovery by competitive learning
27. Optimal unsupervised learning in a single-layer linear feedforward neural network
28. Dendritic processing
29. Excitable dendrites and spines: Earlier theoretical insights elucidate recent direct observations
30. Neuronal synchrony: A versatile code for the definition of relations?
31. Cooperative self-organization of afferent and lateral connections in cortical maps
32. Cortical circuitry underlying inhibitory processes in cat area 17
33. The development of topography in the visual cortex: A review of models
34. Fast IPSPs elicited via multiple synaptic release sites by different types of GABAergic neurone in the cat visual cortex
35. Localized versus distributed representations
36. Self-organisation of orientation sensitive cells in the striate cortex
37. The correlation theory of brain function
38. Using spatio-temporal correlations to learn invariant object recognition