large-scale_networks

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may …

Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains

Neurons receive a large number of excitatory and inhibitory synaptic inputs whose temporal interplay determines their spiking behavior. On average, excitation (Gexc) and inhibition (Ginh) balance each other, such that spikes are elicited by …

Functional properties of feed-forward inhibition

see this subsequent paper in the Journal of Computational Neuroscience

Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study

In the primary visual cortex (V1), single cell responses to simple visual stimuli (gratings) are usually dense but with a high trial-by-trial variability. In contrast, when exposed to full field natural scenes, the firing patterns of these neurons …