Stimulus Timing-Dependent Plasticity in Cortical Processing of Orientation

Yao, Haishan; Dan, Yang

doi:10.1016/s0896-6273(01)00460-3

Cited by 218 publications

(262 citation statements)

References 39 publications

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“…2). This finding is robust and has been found in neurons from the hippocampus using acute, (23) organotypic slices, (31) or dissociated cell culture, (32) and in layers V (33,34) and II/III (35) of the cerebral cortex, as well as in vivo preparations using cat (36,37) and Xenopus (38) visual systems. The temporal window permissive for LTP induction is 10-20 ms (milliseconds) whereas the window in which the presynaptic spike can follow the postsynaptic spike in order to induce LTD ranges from 20 to 100 ms in different preparations.…”

Section: Introductionsupporting

confidence: 66%

Complexity of calcium signaling in synaptic spines

Franks¹,

Sejnowski²

2002

BioEssays

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SummaryLong-term potentiation and long-term depression are thought to be cellular mechanisms contributing to learning and memory. Although the physiological phenomena have been well characterized, little consensus of their underlying molecular mechanisms has emerged. One reason for this may be the under-appreciated complexity of the signaling pathways that can arise if key signaling molecules are discretely localized within the synapse. Recent findings suggest an unanticipated degree of structural organization at the synapse, and improved methods in cellular imaging of living tissue have provided much-needed information about the intracellular dynamics of Ca 2þ , thought to be critical for both LTP and LTD. In this review, we briefly summarize some of these developments, and show that a more complete understanding of cellular signaling depends on the successful integration of traditional biochemistry and molecular biology with the spatial and temporal details of synaptic ultrastructure. Biophysically realistic computer simulations can have an important role in bridging these disciplines.

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Section: Introductionsupporting

confidence: 66%

Complexity of calcium signaling in synaptic spines

Franks¹,

Sejnowski²

2002

BioEssays

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“…Intuitively, one might think that the observed shift of the tuning-curve peaks away from the adapted orientation in anesthetized animals (Dragoi et al 2000;Müller et al 1999) could explain the tilt aftereffect. However, it has been pointed out previously that precisely the opposite is likely to be true (Gilbert and Wiesel 1990;Yao and Dan 2001). The key point is that it is the peak location (or weighted average orientation) of the population response, instead of the tuning curve, that determines the perceived orientation.…”

Section: Psychophysical Comparisonsmentioning

confidence: 98%

Learning and Adaptation in a Recurrent Model of V1 Orientation Selectivity

Teich

Niu

2003

Journal of Neurophysiology

145

164

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Learning and adaptation in the domain of orientation processing are among the most studied topics in the literature. However, little effort has been devoted to explaining the diverse array of experimental findings via a physiologically based model. We have started to address this issue in the framework of the recurrent model of V1 orientation selectivity and found that reported changes in V1 orientation tuning curves after learning and adaptation can both be explained with the model. Specifically, the sharpening of orientation tuning curves near the trained orientation after learning can be accounted for by slightly reducing net excitatory connections to cells around the trained orientation, while the broadening and peak shift of the tuning curves after adaptation can be reproduced by appropriately scaling down both excitation and inhibition around the adapted orientation. In addition, we investigated the perceptual consequences of the tuning curve changes induced by learning and adaptation using signal detection theory. We found that in the case of learning, the physiological changes can account for the psychophysical data well. In the case of adaptation, however, there is a clear discrepancy between the psychophysical data from alert human subjects and the physiological data from anesthetized animals. Instead, human adaptation studies can be better accounted for by the learning data from behaving animals. Our work suggests that adaptation in behaving subjects may be viewed as a short-term form of learning.

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“…Recent experiments demonstrating that input timing on the order of milliseconds can be the difference between synaptic strengthening and weakening provides a potential mechanism that would allow sensory statistics to precisely control the connectivity and temporal dynamics of large networks of neurons (Bi and Poo, 1999;Feldman, 2000;Froemke and Dan, 2002;Schuett et al, 2001;Song and Abbott, 2001;Song et al, 2000;Yao and Dan, 2001;Zhang et al, 1998). Network models that incorporate this form of Hebbian learning, called spike-timing dependent synaptic plasticity (STDP), are highly sensitive to changes in input correlation (Song and Abbott, 2001).…”

Section: Potential Mechanismsmentioning

confidence: 99%

Asynchronous inputs alter excitability, spike timing, and topography in primary auditory cortex

Pandya¹,

Moucha²,

Engineer³

et al. 2005

Hearing Research

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Correlation-based synaptic plasticity provides a potential cellular mechanism for learning and memory. Studies in the visual and somatosensory systems have shown that behavioral and surgical manipulation of sensory inputs leads to changes in cortical organization that are consistent with the operation of these learning rules. In this study, we examine how the organization of primary auditory cortex (A1) is altered by tones designed to decrease the average input correlation across the frequency map. After one month of separately pairing nucleus basalis stimulation with 2 and 14 kHz tones, a greater proportion of A1 neurons responded to frequencies below 2 kHz and above 14 kHz. Despite the expanded representation of these tones, cortical excitability was specifically reduced in the high and low frequency regions of A1, as evidenced by increased neural thresholds and decreased response strength. In contrast, in the frequency region between the two paired tones, driven rates were unaffected and spontaneous firing rate was increased. Neural response latencies were increased across the frequency map when nucleus basalis stimulation was associated with asynchronous activation of the high and low frequency regions of A1. This set of changes did not occur when pulsed noise bursts were paired with nucleus basalis stimulation. These results are consistent with earlier observations that sensory input statistics can shape cortical map organization and spike timing.

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Stimulus Timing-Dependent Plasticity in Cortical Processing of Orientation

Cited by 218 publications

References 39 publications

Complexity of calcium signaling in synaptic spines

Complexity of calcium signaling in synaptic spines

Learning and Adaptation in a Recurrent Model of V1 Orientation Selectivity

Asynchronous inputs alter excitability, spike timing, and topography in primary auditory cortex

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