Biologically inspired spiking neural networks are increasingly popular in the field of artificial
intelligence due to their ability to solve complex problems while being power efficient. They …

Non-invasive brain stimulation (NIBS) is a method for the study of cognitive function that is
quickly gaining popularity. It bypasses the correlative approaches of other imaging …

This is the first comprehensive book on information geometry, written by the founder of the
field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide …

Artificial neural networks (ANNs) have experienced a rapid advancement for their success in
various application domains, including autonomous driving and drone vision. Researchers …

Most voluntary actions rely on neural circuits that map sensory cues onto appropriate motor
responses. One might expect that for everyday movements, like reaching, this mapping …

Biological structures can be seen as collections of special devices coordinated by a matrix of
organization. Devices are dif? cult to evolve and are meticulously conserved through the …

Decoding the activity of a population of neurons is a fundamental problem in neuroscience.
A key aspect of this problem is determining whether correlations in the activity, ie, noise …

In many cortical and subcortical areas, neurons are known to modulate their average firing
rate in response to certain external stimulus features. It is widely believed that information …

In this paper, we reviewed the recent trends on neuromorphic computing using emerging
memory technologies. Two representative learning algorithms used to implement a …

In many regions of the brain, information is represented by patterns of activity occurring over
populations of neurons. Understanding the encoding of information in neural population …