Gustavo Deco (born in 1961 in Argentina) is Research Professor from the Institució Catalana de Recerca i Estudis Avançats at the Pompeu Fabra University (UPF) where he is leading the Computational Neuroscience group at the Department of Technology and he is also director of the doctoral program in Computer Science and Digital Communication. His research interest includes computational neuroscience, neuropsycholgy, psycholinguistics, biological networks, statistical formulation of neural networks, and chaos theory.Edmund T. Rolls is a neuroscientist at The Oxford Centre for Computational Neuroscience, Oxford, and was Professor of Experimental Psychology at the University of Oxford, and a Fellow and Tutor of Corpus Christi College, Oxford. He performs research linking computational neuroscience approaches to neurophysiological, human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding human brain function and its disorders.

• 1. Introduction: neuronal, cortical, and network foundations ; 2. Stochastic neurodynamics ; 3. Short-term memory and stochastic dynamics ; 4. Attention and stochastic dynamics ; 5. Probabilistic decision-making ; 6. Confidence and decision-making ; 7. Perceptual detection and stochastic dynamics ; 8. Applications of this stochastic dynamical theory to brain function ; A. Mean-field analyses, and stochastic dynamics ; References ; Index ; B. Colour Plates

Gustavo Deco (born in 1961 in Argentina) is Research Professor from the Institució Catalana de Recerca i Estudis Avançats at the Pompeu Fabra University (UPF) where he is leading the Computational Neuroscience group at the Department of Technology and he is also director of the doctoral program in Computer Science and Digital Communication. His research interest includes computational neuroscience, neuropsycholgy, psycholinguistics, biological networks, statistical formulation of neural networks, and chaos theory.Edmund T. Rolls is a neuroscientist at The Oxford Centre for Computational Neuroscience, Oxford, and was Professor of Experimental Psychology at the University of Oxford, and a Fellow and Tutor of Corpus Christi College, Oxford. He performs research linking computational neuroscience approaches to neurophysiological, human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding human brain function and its disorders.

• 1. Introduction: neuronal, cortical, and network foundations ; 2. Stochastic neurodynamics ; 3. Short-term memory and stochastic dynamics ; 4. Attention and stochastic dynamics ; 5. Probabilistic decision-making ; 6. Confidence and decision-making ; 7. Perceptual detection and stochastic dynamics ; 8. Applications of this stochastic dynamical theory to brain function ; A. Mean-field analyses, and stochastic dynamics ; References ; Index ; B. Colour Plates

Gustavo Deco (born in 1961 in Argentina) is Research Professor from the Institució Catalana de Recerca i Estudis Avançats at the Pompeu Fabra University (UPF) where he is leading the Computational Neuroscience group at the Department of Technology and he is also director of the doctoral program in Computer Science and Digital Communication. His research interest includes computational neuroscience, neuropsycholgy, psycholinguistics, biological networks, statistical formulation of neural networks, and chaos theory.Edmund T. Rolls is a neuroscientist at The Oxford Centre for Computational Neuroscience, Oxford, and was Professor of Experimental Psychology at the University of Oxford, and a Fellow and Tutor of Corpus Christi College, Oxford. He performs research linking computational neuroscience approaches to neurophysiological, human functional neuroimaging and neuropsychological studies in order to provide a fundamental basis for understanding human brain function and its disorders.

• 1. Introduction: neuronal, cortical, and network foundations ; 2. Stochastic neurodynamics ; 3. Short-term memory and stochastic dynamics ; 4. Attention and stochastic dynamics ; 5. Probabilistic decision-making ; 6. Confidence and decision-making ; 7. Perceptual detection and stochastic dynamics ; 8. Applications of this stochastic dynamical theory to brain function ; A. Mean-field analyses, and stochastic dynamics ; References ; Index ; B. Colour Plates