Metaplasticity

…such neuroscience-inspired method is metaplasticity, which refers to a network's ability to change the learning capacity of its synapses based on its cu

…Metaplasticity in which the timescale of synaptic modifications made by an individual neuron changes could resolve this flexibility-stability tradeoff. We propose that this strategy may be implemented in the olfactory bulb (OB). A striking, characte

Transcranial Magnetic Stimulation (TMS) offers a non-invasive clinical treatment for intractable neuropsychiatric disorders, including Major Depressive Disorder (MDD). Repetitive TMS (rTMS) involves administering a series of patterned magnetic pulses through the skull to modulate cortical brain activity and induce synaptic plasticity in aberrant neural circuitry. When successful, rTMS results in lasting therapeutic changes that may reflect an amelioration in cognitive symptoms. The salient parameters that comprise rTMS protocols, such as pulse frequency, amplitude, etc., interact to determine

Metaplasticity is the change in plasticity of a synapse, and an important mechanism for resolving the stability-plasticity dilemma. However, the exact synaptic or neuron properties that modulate metaplasticity still remains unclear. In this work we use meta-continual learning to discover the importance of factors that contribute to metaplasticity. We use a linear model to assign the relative contribution of four commonly used synaptic properties to metaplasticity: the Hessian, gradient, magnitude of the weights, and activity of the post-synaptic neuron. The coefficients of the linear model ar