scholarly journals Differential Experience-Dependent Plasticity of Form and Motion Mechanisms in Anisometropic Amblyopia

2019 ◽  
Vol 60 (13) ◽  
pp. 4109
Author(s):  
Sean I. Chen ◽  
Arvind Chandna ◽  
Spero Nicholas ◽  
Anthony M. Norcia
Keyword(s):  
Dependent Plasticity ◽  
Anisometropic Amblyopia ◽  
Differential Experience

scholarly journals Experience Dependent Plasticity of human Form and Motion Mechanisms in Anisometropic Amblyopia

2010 ◽  
Vol 10 (7) ◽  
pp. 19-19
Author(s):  
A. M. Norcia ◽  
S. I. Chen ◽  
A. Chandna
Keyword(s):  
Human Form ◽  
Dependent Plasticity ◽  
Anisometropic Amblyopia

Rehabilitation of Attention

2003 ◽  
Vol 14 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Ian H. Robertson
Keyword(s):  
Brain Damage ◽  
Dependent Plasticity ◽  
Attention Systems ◽  
The Brain

Abstract: In this paper, evidence is reviewed for separable attention systems in the brain, and it is argued a) that attention may have a privileged role in mediating experience dependent plasticity in the brain and b) that at least some types of attention may be capable of rehabilitation following brain damage.

Stable Competitive Dynamics Emerge from Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity

2006 ◽  
Vol 18 (10) ◽  
pp. 2414-2464 ◽  
Author(s):  
Peter A. Appleby ◽  
Terry Elliott
Keyword(s):  
Synaptic Plasticity ◽  
Stochastic Model ◽  
Higher Order ◽  
Spike Timing ◽  
Competitive Dynamics ◽  
Spike Timing Dependent Plasticity ◽  
Interaction Function ◽  
Dependent Plasticity ◽  
Order Interaction ◽  
Synaptic Dynamics

In earlier work we presented a stochastic model of spike-timing-dependent plasticity (STDP) in which STDP emerges only at the level of temporal or spatial synaptic ensembles. We derived the two-spike interaction function from this model and showed that it exhibits an STDP-like form. Here, we extend this work by examining the general n-spike interaction functions that may be derived from the model. A comparison between the two-spike interaction function and the higher-order interaction functions reveals profound differences. In particular, we show that the two-spike interaction function cannot support stable, competitive synaptic plasticity, such as that seen during neuronal development, without including modifications designed specifically to stabilize its behavior. In contrast, we show that all the higher-order interaction functions exhibit a fixed-point structure consistent with the presence of competitive synaptic dynamics. This difference originates in the unification of our proposed “switch” mechanism for synaptic plasticity, coupling synaptic depression and synaptic potentiation processes together. While three or more spikes are required to probe this coupling, two spikes can never do so. We conclude that this coupling is critical to the presence of competitive dynamics and that multispike interactions are therefore vital to understanding synaptic competition.

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