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Neural Binding of Space and Time

Some of the central problems to be solved by the brain, such as figure-ground coding and object recognition, concern the binding;

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Neural Binding of Space and Time: Spatial and Temporal Mechanisms of Feature-Object Binding: A Special Issue of Visual Cognition

Some of the central problems to be solved by the brain, such as figure-ground coding and object recognition, concern the binding;

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Space, Objects, Minds and Brains

to explore the cognitive and neural basis of spatial representations and their contributions to spatial awareness, object formation;

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Space, Objects, Minds and Brains

to explore the cognitive and neural basis of spatial representations and their contributions to spatial awareness, object formation;

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Handbook of Binding and Memory

? What are the neural processes that underlie binding? Do these binding processes change with age? This book offers an unrivalled overview;

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Advanced State Space Methods for Neural and Clinical Data

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data;

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Binding

, shape, and orientation. Binding refers to the set of cognitive and neural mechanisms that re-integrate these features to create a holistic;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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The Relevance of the Time Domain to Neural Network Models

segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models;

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Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities

intelligence, and neural engineering has been working on the cutting edge of exploring brain machine interfaces for application in space as solutions;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas;

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Handbook of Neural Engineering

theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes;

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Computer Physics

experimental data processing in nuclear physics; solving the vibrational Schrodinger equation using a combined neural network collocation approach; the;

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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos exist in several levels of neural systems from micro to macro levels. This is a strong motivation for the addition of nonlinear;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault;

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Neural Control of Space Coding and Action Production

entitled "Neural control of space coding and action production". The book emphasizes the reciprocal relationship between perception and action, and;

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Circuit Complexity and Neural Networks

amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how;

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Neural Network Control of Nonlinear Discrete-Time Systems

neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;

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Discrete-Time Neural Observers

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete;

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Unbinding the Binding of Isaac

story have been mined by the Jewish, Islamic, and Christian faiths for a protracted period of time. The Aqedah, as the binding story is known;

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Automated Deep Learning Using Neural Network Intelligence

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI;

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Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series

Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented;

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Supervised Learning with Complex-valued Neural Networks

complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This;

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Nonlinear Dynamical Systems

The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural;

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Neural Information Processing

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information;

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