Literature DB >> 9989409

Coherence of gamma-band EEG activity as a basis for associative learning.

W H Miltner1, C Braun, M Arnold, H Witte, E Taub.   

Abstract

Different regions of the brain must communicate with each other to provide the basis for the integration of sensory information, sensory-motor coordination and many other functions that are critical for learning, memory, information processing, perception and the behaviour of organisms. Hebb suggested that this is accomplished by the formation of assemblies of cells whose synaptic linkages are strengthened whenever the cells are activated or 'ignited' synchronously. Hebb's seminal concept has intrigued investigators since its formulation, but the technology to demonstrate its existence had been lacking until the past decade. Previous studies have shown that very fast electroencephalographic activity in the gamma band (20-70 Hz) increases during, and may be involved in, the formation of percepts and memory, linguistic processing, and other behavioural and perceptual functions. We show here that increased gamma-band activity is also involved in associative learning. In addition, we find that another measure, gamma-band coherence, increases between regions of the brain that receive the two classes of stimuli involved in an associative-learning procedure in humans. An increase in coherence could fulfil the criteria required for the formation of hebbian cell assemblies, binding together parts of the brain that must communicate with one another in order for associative learning to take place. In this way, coherence may be a signature for this and other types of learning.

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Year:  1999        PMID: 9989409     DOI: 10.1038/17126

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  173 in total

1.  Gamma and beta frequency oscillations in response to novel auditory stimuli: A comparison of human electroencephalogram (EEG) data with in vitro models.

Authors:  C Haenschel; T Baldeweg; R J Croft; M Whittington; J Gruzelier
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

2.  Gap junctions linking the dendritic network of GABAergic interneurons in the hippocampus.

Authors:  T Fukuda; T Kosaka
Journal:  J Neurosci       Date:  2000-02-15       Impact factor: 6.167

3.  Human cortical muscle coherence is directly related to specific motor parameters.

Authors:  J M Kilner; S N Baker; S Salenius; R Hari; R N Lemon
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

4.  Learning about pain: the neural substrate of the prediction error for aversive events.

Authors:  A Ploghaus; I Tracey; S Clare; J S Gati; J N Rawlins; P M Matthews
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

5.  Nonlinear phase desynchronization in human electroencephalographic data.

Authors:  Michael Breakspear
Journal:  Hum Brain Mapp       Date:  2002-03       Impact factor: 5.038

6.  Self-organized synaptic plasticity contributes to the shaping of gamma and beta oscillations in vitro.

Authors:  A Bibbig; H J Faulkner; M A Whittington; R D Traub
Journal:  J Neurosci       Date:  2001-11-15       Impact factor: 6.167

7.  Long-range synchrony in the gamma band: role in music perception.

Authors:  J Bhattacharya; H Petsche; E Pereda
Journal:  J Neurosci       Date:  2001-08-15       Impact factor: 6.167

8.  Transient interhemispheric neuronal synchrony correlates with object recognition.

Authors:  T Mima; T Oluwatimilehin; T Hiraoka; M Hallett
Journal:  J Neurosci       Date:  2001-06-01       Impact factor: 6.167

9.  Studies of cortical interactions over short periods of time during the search for verbal associations.

Authors:  A R Nikolaev; G A Ivanitskii; A M Ivanitskii
Journal:  Neurosci Behav Physiol       Date:  2001 Mar-Apr

10.  Right-hemisphere dominance for the processing of sound-source lateralization.

Authors:  J Kaiser; W Lutzenberger; H Preissl; H Ackermann; N Birbaumer
Journal:  J Neurosci       Date:  2000-09-01       Impact factor: 6.167

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