Faculty Opinions recommendation of The contribution of activity-dependent synaptic plasticity to classical conditioning in Aplysia.

Author(s):  
Yadin Dudai
2001 ◽  
Vol 21 (16) ◽  
pp. 6413-6422 ◽  
Author(s):  
Igor Antonov ◽  
Irina Antonova ◽  
Eric R. Kandel ◽  
Robert D. Hawkins

2006 ◽  
Vol 573 (3) ◽  
pp. 711-721 ◽  
Author(s):  
Aude Panatier ◽  
Stephen J. Gentles ◽  
Charles W. Bourque ◽  
Stéphane H. R. Oliet

2022 ◽  
Author(s):  
Alberto Lazari ◽  
Piergiorgio Salvan ◽  
Michiel Cottaar ◽  
Daniel Papp ◽  
Matthew FS Rushworth ◽  
...  

Synaptic plasticity is required for learning and follows Hebb's Rule, the computational principle underpinning associative learning. In recent years, a complementary type of brain plasticity has been identified in myelinated axons, which make up the majority of brain's white matter. Like synaptic plasticity, myelin plasticity is required for learning, but it is unclear whether it is Hebbian or whether it follows different rules. Here, we provide evidence that white matter plasticity operates following Hebb's Rule in humans. Across two experiments, we find that co-stimulating cortical areas to induce Hebbian plasticity leads to relative increases in cortical excitability and associated increases in a myelin marker within the stimulated fiber bundle. We conclude that Hebbian plasticity extends beyond synaptic changes, and can be observed in human white matter fibers.


1994 ◽  
Vol 1 (4) ◽  
pp. 243-257
Author(s):  
G A Clark ◽  
R D Hawkins ◽  
E R Kandel

A hallmark of many forms of classical conditioning is a precise temporal specificity: Learning is optimal when the conditioned stimulus (CS) slightly precedes the unconditioned stimulus (US), but the learning is degraded at longer or backward intervals, consistent with the notion that conditioning involves learning about predictive relationships in the environment. To further examine the cellular mechanisms contributing to the temporal specificity of classical conditioning of the siphon-withdrawal response in Aplysia, we paired action potential activity in siphon sensory neurons (the neural CS) with tail nerve shock (the US) at three critical time points. We found that CS-US pairings at short (0.5 sec) forward intervals produced greater synaptic facilitation at sensorimotor connections than did either 0.5-sec backward pairings or longer (5 sec) forward pairings, as reflected in a differential increase in both the amplitude and rate of rise of the synaptic potential. In the same preparations, forward pairings also differentially reduced the sensory neuron afterhyperpolarization relative to backward pairings, suggesting that changes in synaptic efficacy were accompanied by temporally specific changes in ionic currents in the sensory neurons. Additional experiments demonstrated that short forward pairings of sensory cell activity and restricted applications of the neuromodulatory transmitter serotonin (normally released by the US) differentially enhanced action potential broadening in siphon sensory neurons, relative to backward pairings. Taken together, these results suggest that temporally specific synaptic enhancement engages both spike-width-dependent and spike-width-independent facilitatory processes and that activity-dependent enhancement of presynaptic facilitation may contribute to both the CS-US sequence and proximity requirements of conditioning.


2002 ◽  
Vol 14 (10) ◽  
pp. 2353-2370 ◽  
Author(s):  
Terry Elliott ◽  
Jörg Kramer

We couple a previously studied, biologically inspired neurotrophic model of activity-dependent competitive synaptic plasticity and neuronal development to a neuromorphic retina chip. Using this system, we examine the development and refinement of a topographic mapping between an array of afferent neurons (the retinal ganglion cells) and an array of target neurons. We find that the plasticity model can indeed drive topographic refinement in the presence of afferent activity patterns generated by a real-world device. We examine the resilience of the developing system to the presence of high levels of noise by adjusting the spontaneous firing rate of the silicon neurons.


Author(s):  
Patricia S. Churchland ◽  
Terrence J. Sejnowski

This chapter examines the physical mechanisms in nervous systems in order to elucidate the structural bases and functional principles of synaptic plasticity. Neuroscientific research on plasticity can be divided into four main streams: the neural mechanism for relatively simple kinds of plasticity, such as classical conditioning or habituation; anatomical and physiological studies of temporal lobe structures, including the hippocampus and the amygdala; study of the development of the visual system; and the relation between the animal's genes and the development of its nervous system. The chapter first considers the role of the mammalian hippocampus in learning and memory before discussing Donald Hebb's views on synaptic plasticity. It then explores the mechanisms underlying neuronal plasticity and those that decrease synaptic strength, the relevance of time with respect to plasticity, and the occurrence of plasticity during the development of the nervous system. It also describes modules, modularity, and networks in the brain.


2012 ◽  
Vol 122 (3) ◽  
pp. 582-593 ◽  
Author(s):  
GuoQi Zhu ◽  
YuYing Huang ◽  
Ying Chen ◽  
YingHan Zhuang ◽  
Thomas Behnisch

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