Neural coding with spikes and bursts: characterizing neurons and networks with noisy input

Neural coding with spikes and bursts: characterizing neurons and networks with noisy input

This paper investigated how the reliability of a thalamocortical relay (TCR) cell changes if it goes from a bursting to a spiking regime, using two measures: the coincidence factor and the Hunter and Milton measure.

Neural coding with spikes and bursts: characterizing neurons and networks with noisy input

It is shown that feed-forward inhibition makes the output more precise when all events or when only single spikes are taken into account, but not if the analysis is restricted to bursts, which is more versatile than feedback inhibition in shaping the computation in a microcircuit.

Learning in spiking neural networks with a calcium-based Hebbian rule for spike timing-dependent plasticity

This work presents a Hebbian local learning rule that models synaptic modification as a function of calcium traces tracking neuronal activity and demonstrates how spike timing and rate can be complementary in their role of shaping the connectivity of spiking neural networks.

Neural coding with spikes and bursts: characterizing neurons and networks with noisy input

Multiplexing of functionally distinct inputs by intrinsic modulation of spike timing in a monoaminergic nucleus.

This work shows that DRN 5-HT neurons exhibit separable spiking representations of two major excitatory inputs-those from the lateral habenula and the medial prefrontal cortex and confirms that this emergent population spike synchrony code provides a means for the DRN to widely broadcast these streams as a multiplexed...

Estimation of the time course of excitatory and inhibitory conductance during oscillatory periods

Determining the amount of information a neuron receives per unit of time is key to understanding brain connectivity and how neural networks encode and transmit information. In particular, estimating this information flow by distinguishing between excitatory and inhibitory synaptic contributions is critical to understan...