Online supervised learning of temporal patterns in biological neural networks under feedback control
Reservoir computing is a machine learning paradigm that exploits the transient dynamics of high-dimensional nonlinear systems. Although it was originally inspired by the mammalian brain and widely ...
Explore our campus, meet lecturers and current students, and learn more about what it's like to study at Manchester. We place social responsibility at the heart of your learning which means you can ...
Explore our campus, meet lecturers and current students, and learn more about what it's like to study at Manchester. Lay the foundations of a rewarding career with mathematics at its base by ...
1 Bouaké Regional Office, National Centre for Agricultural Research (CNRA), Bouaké, Côte d’Ivoire. 2 Laboratory of Food Biochemistry and Processing of Tropical Products, Nangui Abrogoua University, ...
This important paper shows that the acquisition and expression of Pavlovian conditioned responding are lawfully related to temporal characteristics of an animal's conditioning experience. It showcases ...
MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...
Autofluorescence lifetime images reveal unique characteristics of endogenous fluorescence in biological samples. Comprehensive understanding and clinical diagnosis rely on co-registration with the ...
Deep neural network models of sensory systems are often proposed to learn representational transformations with invariances like those in the brain. To reveal these invariances we generated "model ...
a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...
Speech sound learning in adulthood is a highly dynamic process. Here, we used direct neurophysiology of the human brain to examine learning-associated changes in neural activity with unprecedented ...
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