A survey of encoding techniques for signal processing in spiking neural networks
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 …
intelligence due to their ability to solve complex problems while being power efficient. They …
[HTML][HTML] Modelling non-invasive brain stimulation in cognitive neuroscience
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 …
quickly gaining popularity. It bypasses the correlative approaches of other imaging …
[图书][B] Information geometry and its applications
S Amari - 2016 - books.google.com
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 …
field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide …
Advancements in algorithms and neuromorphic hardware for spiking neural networks
Artificial neural networks (ANNs) have experienced a rapid advancement for their success in
various application domains, including autonomous driving and drone vision. Researchers …
various application domains, including autonomous driving and drone vision. Researchers …
How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching
T Verstynen, PN Sabes - Journal of Neuroscience, 2011 - Soc Neuroscience
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 …
responses. One might expect that for everyday movements, like reaching, this mapping …
[图书][B] Computational maps in the visual cortex
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 …
organization. Devices are dif? cult to evolve and are meticulously conserved through the …
Synergy, redundancy, and independence in population codes, revisited
PE Latham, S Nirenberg - Journal of Neuroscience, 2005 - Soc Neuroscience
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 …
A key aspect of this problem is determining whether correlations in the activity, ie, noise …
Implications of neuronal diversity on population coding
M Shamir, H Sompolinsky - Neural computation, 2006 - ieeexplore.ieee.org
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 …
rate in response to certain external stimulus features. It is widely believed that information …
Emerging memory technologies for neuromorphic computing
In this paper, we reviewed the recent trends on neuromorphic computing using emerging
memory technologies. Two representative learning algorithms used to implement a …
memory technologies. Two representative learning algorithms used to implement a …
Neural population codes
TD Sanger - Current opinion in neurobiology, 2003 - Elsevier
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 …
populations of neurons. Understanding the encoding of information in neural population …