Response: The intellectual thrust of our article (1) was to show the neurobiologist how a conceptual framework and methodology could be used to understand how a class of model neural circuits solve specific computational problems. In addition, we used examples of model circuit computation to illustrate the general problems neurobiologists face in understanding computation in biological neural circuits
A neuron network is a computational model based on structure and functions of biological neural netw...
The concept of a “Neural Code " is based on the assumption that the brain performs computations...
In this chapter I have provided a brief and somewhat superficial survey of the specialized hardware ...
Response: The intellectual thrust of our article (1) was to show the neurobiologist how a conceptual...
A new conceptual framework and a minimization principle together provide an understanding of computa...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Neural systems found in the brains of even very simple animals are amazingly effective at performing...
One of the more interesting debates of the present day centers on whether human intelligence can be ...
Deep learning continues to play as a powerful state-of-art technique that has achieved extraordinary...
David Marr famously proposed three levels of analysis (implementational, algorithmic, and computatio...
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While the...
David Marr famously proposed three levels of analysis (implementational, algorithmic, and computatio...
that has attracted a number of researchers is the mathematical evaluation of neural networks as info...
There has been a long tradition of casting models of information processing which entail elementary ...
A neuron network is a computational model based on structure and functions of biological neural netw...
The concept of a “Neural Code " is based on the assumption that the brain performs computations...
In this chapter I have provided a brief and somewhat superficial survey of the specialized hardware ...
Response: The intellectual thrust of our article (1) was to show the neurobiologist how a conceptual...
A new conceptual framework and a minimization principle together provide an understanding of computa...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Neural systems found in the brains of even very simple animals are amazingly effective at performing...
One of the more interesting debates of the present day centers on whether human intelligence can be ...
Deep learning continues to play as a powerful state-of-art technique that has achieved extraordinary...
David Marr famously proposed three levels of analysis (implementational, algorithmic, and computatio...
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While the...
David Marr famously proposed three levels of analysis (implementational, algorithmic, and computatio...
that has attracted a number of researchers is the mathematical evaluation of neural networks as info...
There has been a long tradition of casting models of information processing which entail elementary ...
A neuron network is a computational model based on structure and functions of biological neural netw...
The concept of a “Neural Code " is based on the assumption that the brain performs computations...
In this chapter I have provided a brief and somewhat superficial survey of the specialized hardware ...