Neural plasticity plays an important role in learning and memory. Reward-modulation of plasticity offers an explanation for the ability of the brain to adapt its neural activity to achieve a rewarded goal. Here, we define a neural network model that learns through the interaction of Intrinsic Plasticity (IP) and reward-modulated Spike-Timing-Dependent Plasticity (STDP). IP enables the network t...

Long-term potentiation (LTP) is a form of activity-dependent plasticity that occurs during learning. Potassium channels are the most diverse group of all ion channels that related to synaptic plasticity. Small-conductance calcium-activated potassium channels (SKs) are found in hippocampal CA1 neurons and by inhibiting of postsynaptic potentials are involved in synaptic transmission impairment. ...

A multiscale modeling methodology that combines the predictive capability of discrete dislocation plasticity and the computational efficiency of continuum crystal plasticity is developed. Single crystal configurations of different grain sizes modeled with periodic boundary conditions are analyzed using discrete dislocation plasticity (DD) to obtain grain size-dependent stress-strain predictions...

Little is understood of how damaged white matter interacts with developmental plasticity. The authors propose that computational neuroscience methods are underused in this problem. In this article, they present a nondeterministic, in silico model of activity-dependent plasticity. Using this model, they compared the impact of neuronal cell loss or axonal dysfunction on the ability of the system ...

introduction: neuro-plasticity is the neuronal system ability to modify and recover itself after the occurrence of impairment and injuries. following the abolition of a sensory modality, modifications will be applied to other modalities and their cortical function in a way that the processing of these modalities not only will happen in their own specific cortical area, but also in those areas t...

Ocular dominance plasticity has long served as a successful model for examining how cortical circuits are shaped by experience. In this paradigm, altered retinal activity caused by unilateral eye-lid closure leads to dramatic shifts in the binocular response properties of neurons in the visual cortex. Much of the recent progress in identifying the cellular and molecular mechanisms underlying oc...

This paper explores the computational consequences of simultaneous intrinsic and synaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism for a continuous activation model neuron based on low order moments of the neuron’s firing rate distribution. The goal of the intrinsic plasticity mechanism is to enforce a sparse distribution of the neuron’s activity ...

Since synaptic plasticity is regarded as a potential mechanism for memory formation and learning, there is growing interest in the study of its underlying mechanisms. Recently several evolutionary models of cellular development have been presented, but none have been shown to be able to evolve a range of biological synaptic plasticity regimes. In this paper we present a biologically plausible e...