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Attractor Dynamics in the Energy - Accuracy Space in an Artificial Neurovascular Network

Feedforward neural networks, when trained optimally perform classification and function approximation tasks with reasonably high accuracy. Biological neural networks, unlike their artificial counterparts, require energy which is provided by a network …

Encoding Temporal Relations using Complex-Valued Synapses

In this work, we show that by representing the neural activity and synaptic activity in the complex domain, it is possible to encode temporal relations among the neural oscillations. The complex representation is also able to bring out learning …

Do tuned responses in cerebral microvessels imply lateral interactions among vessels? A computational study

Studies on cat’s visual cortex (O’Herron et al 2016) have shown the existence of orientation and direction sensitivity in cerebral microvessels. In some cases, interestingly, orientation tuning of the vessels is quite different from the orientation …

Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map

The traditional approach to characterization of orientation maps as they were expounded by Hubel and Wiesel treats them as static representations. Only the magnitude of a neuron’s firing response to orientation is considered and the neuron with the …

Informational dynamics of vasomotion in microvascular networks: a review

Vasomotion refers to spontaneous oscillation of small vessels observed in many microvascular beds. It is an intrinsic phenomenon unrelated to cardiac rhythm or neural and hormonal regulation. Vasomotion is found to be particularly prominent under …