Does computational neuroscience need new synaptic learning paradigms?

Editorial: Computational Neuroscience and Modeling of Diseases: Do We Need New Paradigms?

Beyond spike-timing-dependent plasticity: a computational study of plasticity gradients across basal dendrites

Synaptic plasticity is thought to be the principal mechanism underlying learning in the brain. The majority of plastic networks in computational neuroscience combine point neurons with spike-timing-dependent plasticity (STDP) as the learning rule. However, a point neuron does not capture the complexity of dendrites. These long branches emanating from the soma allow nonlinear local processing of...

TOPICAL REVIEW Computational modelling of memory retention from synapse to behaviour

One of our most intriguing mental abilities is the capacity to store information and recall it from memory. Computational neuroscience has been in uential in developing models and concepts of learning and memory. In this tutorial review we focus on the interplay between learning and forgetting. We discuss recent advances in the computational description of the learning and forgetting processes ...

Computational modelling of memory retention from synapse to behaviour

One of our most intriguing mental abilities is the capacity to store information and recall it from memory. Computational neuroscience has been in uential in developing models and concepts of learning and memory. In this tutorial review we focus on the interplay between learning and forgetting. We discuss recent advances in the computational description of the learning and forgetting processes ...

Springer Series in Computational Neuroscience

The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. DynamicClamp: From Principles to Applications contains contributions from leading researchers in the ...