1989
DOI: 10.1002/bies.950100209
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Specific protein changes during memory acquisition and storage

Abstract: Changes in several distinct types of neuronal proteins are now known to be associated with learning. In this review, we will summarize the properties of these proteins and relate these properties to prominent theories of the biochemical basis of memory.

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Cited by 15 publications
(1 citation statement)
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References 30 publications
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“…During acquisition of a light-rotation association (behaviorally indexed by reduced phototaxis and foot contraction in the presence of light), the B photoreceptors of the Hermissenda's eye undergo a transient, depolarization-induced rise in levels of intracellular Ca2+ (Connor and Alkon, 1984). This increase in free Ca2+ results in phosphorylation of specific proteins (e.g., 20 kDa) in these cells (Neary et al, 198 1;Nelson and Alkon, 1989) that have been related to the inactivation of a fast, voltage-dependent K+ current (IA) and a slower, Ca*+-dependent K+ current (I,). Reduction of these currents decreases conductance across the photoreceptor's membrane and thereby increases the cell's resistance to current and, hence, its excitability, which is thought to bias the neural network toward new behavioral responses.…”
mentioning
confidence: 99%
“…During acquisition of a light-rotation association (behaviorally indexed by reduced phototaxis and foot contraction in the presence of light), the B photoreceptors of the Hermissenda's eye undergo a transient, depolarization-induced rise in levels of intracellular Ca2+ (Connor and Alkon, 1984). This increase in free Ca2+ results in phosphorylation of specific proteins (e.g., 20 kDa) in these cells (Neary et al, 198 1;Nelson and Alkon, 1989) that have been related to the inactivation of a fast, voltage-dependent K+ current (IA) and a slower, Ca*+-dependent K+ current (I,). Reduction of these currents decreases conductance across the photoreceptor's membrane and thereby increases the cell's resistance to current and, hence, its excitability, which is thought to bias the neural network toward new behavioral responses.…”
mentioning
confidence: 99%