Explore the critical role of microcomputers in advancing neurosciences, from processing complex data sets in brain imaging to simulating neural networks. These compact yet powerful devices are indispensable for modern neurological research, facilitating breakthroughs in understanding the brain's functions and disorders.
Explore the foundational principles of computational modelling in neuroscience, delving into the essential techniques and theoretical underpinnings used to simulate and understand brain function. This resource covers key methodologies for building effective neuroscience models, from single neuron dynamics to complex neural networks, providing crucial insights into the brain's intricate mechanisms through advanced computational approaches.
Dive into the essentials of Computational Neuroscience and Cognitive Modelling with this student-focused introduction. This guide outlines key methods and procedures, providing aspiring scientists with a foundational understanding of how to approach brain function and neural network simulation.
Uncover the intricate mechanisms of memory formation and learning with this introductory guide to neural network modeling of the hippocampus. This resource provides a gateway to understanding how computational approaches illuminate the brain's capacity for acquiring and retaining information.
Explore the critical role of modeling in the neurosciences, specifically focusing on how detailed ionic channel modeling provides fundamental insights into neuronal excitability and signal transduction. This interdisciplinary field of computational neuroscience is essential for understanding complex brain functions and developing new therapeutic strategies.
Explore the foundational mathematics of neurons modeling within this essential introduction, part of the acclaimed Cambridge Studies in Mathematical Biology series. This book provides a clear framework for understanding complex neural dynamics specifically through the lens of the frequency domain, offering crucial insights for students and researchers in computational neuroscience and mathematical biology. Delve into analytical techniques vital for comprehending how neural networks process information, making it an indispensable resource for anyone studying neurons modeling.
Delve into the intricate world of brain, behavior, and cognition disorders through a unique neurocomputational perspective. This exploration bridges neuroscience with computational models, offering profound insights into the underlying mechanisms of cognitive dysfunction and its manifestations.
Dive into the fascinating world of dynamic modeling as applied to neuro sensory systems. This introduction explores the foundational principles and techniques used to simulate and understand the complex behavior of biological neural circuits and sensory processing. Discover how computational neuroscience leverages mathematical models to unravel the mysteries of perception, learning, and neurological function, providing essential insights into both healthy and disordered neural dynamics.