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Data-Driven Computational Neuroscience

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain;

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Advances in Applications of Data Driven Computing

relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network;

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The Computational Brain

book to bring together computational concepts and behavioral data within a neurobiological framework. Computer models constrained by;

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The Computational Brain

to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski address the;

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Connectomics

students in computer science, data science, computational neuroscience, computational physics, or mathematics who need to understand how;

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Data-Driven Personas

methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a;

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Detecting Regime Change in Computational Finance

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, this book applies;

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Philosophy of Computational Cultural Neuroscience

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these;

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Philosophy of Computational Cultural Neuroscience

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these;

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Computational Psychiatry

Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars;

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Mathematical and Theoretical Neuroscience

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics;

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Computational Biology

Computational biology is a field that deals with the development and application of data-analytical and theoretical methods for studying;

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Computational Neuroscience

Computational neuroscience is the branch of neuroscience that uses mathematical models, theoretical analysis and abstractions, to;

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Computational Modelling in Behavioural Neuroscience

increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and;

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Computational Modelling in Behavioural Neuroscience

increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and;

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Nonlinear Dynamics in Computational Neuroscience

This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear;

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Computational Neuroscience and Cognitive Modelling: A Student's Introduction to Methods and Procedures

This unique, self-contained and accessible textbook provides an introduction to computational modelling in psychology and neuroscience;

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Computational Science ICCS 2021

; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis;

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Computational Psychometrics New Methodologies for a New Generation of Digital L

provide a better methodological framework for analysing complex data from digital learning and assessments. The term computational has been;

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Computational Neuroscience: Second Latin American Workshop, Lawcn 2019, São João Del-Rei, Brazil, September 18-20, 2019, Proceedings

This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in Sao;

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MATLAB for Neuroscientists

experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition;

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Bioinformatics and Biomedical Engineering

representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes;

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Bioinformatics and Biomedical Engineering

representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes;

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Artificial Intelligence Driven by a General Neural Simulation System (Genesis)

part of their efforts to understand how different neural systems function. As experimental data continue to amass, it is increasingly clear;

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Complex Systems and Computational Biology Approaches to Acute Inflammation

cost while increasing the information value of the data being obtained. By presenting the role of computational modeling as an integrated;

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MATLAB for Neuroscientists

computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were;

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Group Processes

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial;

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