Add to ORKGWhat type of computations can neuronal networks per-form? One could reasonable argue that neuronal networks should be able to solve “all ” computational problems of interest, as our brain is made of those networks. However
The human brain efficiently processes information by analog integration of inputs and digital, binar...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
The brain has fascinated mankind from time immemorial due to it computational prowess and complexity...
Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the informa...
In the preceding chapter a number of mathematical models for spiking neurons were introduced. Spikin...
Inspired by the diversity of biological neurons, quadratic artificial neurons can play an important ...
∗ equal contribution. While spike timing has been shown to carry detailed stimulus information at th...
2 Abstract We investigate the computational power of a formal model for networks of spiking neurons....
We have argued for some time [1, 2] that the computation of quadratic forms by neuronal circuits is ...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
While the brain uses spiking neurons for communication, theoretical research on brain computations h...
Learning, cognition and the ability to navigate, interact and manipulate the world around us by perf...
Providing the neurobiological basis of information processing in higher animals, spiking neural netw...
D espite an increasing amount of experimental data and deeper scientific understand-ing, deciphering...
The human brain efficiently processes information by analog integration of inputs and digital, binar...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
The brain has fascinated mankind from time immemorial due to it computational prowess and complexity...
Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the informa...
In the preceding chapter a number of mathematical models for spiking neurons were introduced. Spikin...
Inspired by the diversity of biological neurons, quadratic artificial neurons can play an important ...
∗ equal contribution. While spike timing has been shown to carry detailed stimulus information at th...
2 Abstract We investigate the computational power of a formal model for networks of spiking neurons....
We have argued for some time [1, 2] that the computation of quadratic forms by neuronal circuits is ...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
International audienceSpiking Neuron Networks (SNNs) are often referred to as the 3rd generation ofn...
While the brain uses spiking neurons for communication, theoretical research on brain computations h...
Learning, cognition and the ability to navigate, interact and manipulate the world around us by perf...
Providing the neurobiological basis of information processing in higher animals, spiking neural netw...
D espite an increasing amount of experimental data and deeper scientific understand-ing, deciphering...
The human brain efficiently processes information by analog integration of inputs and digital, binar...
Abstract--The computational power of formal models for networks of spiking neurons is compared with ...
The brain has fascinated mankind from time immemorial due to it computational prowess and complexity...