Dendrites are the main recipients of synaptic inputs and are important sites that determine
neurons' input-output functions. This review focuses on thin neocortical dendrites, which …

Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

Replay of neuronal activity during hippocampal sharp wave-ripples (SWRs) is essential in
memory formation. To understand the mechanisms underlying the initiation of irregularly …

Neural population equations such as neural mass or field models are widely used to study
brain activity on a large scale. However, the relation of these models to the properties of …

The use of graphene-based materials to engineer sophisticated biosensing interfaces that
can adapt to the central nervous system requires a detailed understanding of how such …

Neurons communicate primarily with spikes, but most theories of neural computation are
based on firing rates. Yet, many experimental observations suggest that the temporal …

Neuronal processing is classically conceptualized as dendritic input, somatic integration,
and axonal output. The axon initial segment, the proposed site of action potential …

Neurons encode information in sequences of spikes, which are triggered when their
membrane potential crosses a threshold. In vivo, the spiking threshold displays large …

The response time of physical computational elements is finite, and neurons are no
exception. In hierarchical models of cortical networks each layer thus introduces a response …

In most vertebrate neurons, action potentials are triggered at the distal end of the axon initial
segment (AIS). Both position and length of the AIS vary across and within neuron types, with …