Listing 1 - 6 of 6 |
Sort by
|
Choose an application
Choose an application
Choose an application
Choose an application
Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.
Computational neuroscience. --- Neural networks (Neurobiology). --- Neurons. --- Neuroplasticity. --- Neurons --- Neuronal Plasticity --- Nerve Net --- Models, Neurological --- Nervous System Physiological Processes --- Models, Biological --- Nervous System --- Cells --- Models, Theoretical --- Anatomy --- Nervous System Physiological Phenomena --- Musculoskeletal and Neural Physiological Phenomena --- Investigative Techniques --- Phenomena and Processes --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Neuroscience --- Human Anatomy & Physiology --- Health & Biological Sciences --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Musculoskeletal and Neural Physiological Concepts --- Musculoskeletal and Neural Physiological Phenomenon --- Musculoskeletal and Neural Physiology --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Axon Pruning --- Axonal Pruning --- Dendrite Arborization --- Dendrite Pruning --- Dendritic Arborization --- Dendritic Pruning --- Dendritic Remodeling --- Neural Plasticity --- Neurite Pruning --- Neuronal Arborization --- Neuronal Network Remodeling --- Neuronal Pruning --- Neuronal Remodeling --- Neuroplasticity --- Synaptic Plasticity --- Synaptic Pruning --- Brain Plasticity --- Plasticity, Neuronal --- Arborization, Dendrite --- Arborization, Dendritic --- Arborization, Neuronal --- Arborizations, Dendrite --- Arborizations, Dendritic --- Arborizations, Neuronal --- Axon Prunings --- Axonal Prunings --- Brain Plasticities --- Dendrite Arborizations --- Dendrite Prunings --- Dendritic Arborizations --- Dendritic Prunings --- Dendritic Remodelings --- Network Remodeling, Neuronal --- Network Remodelings, Neuronal --- Neural Plasticities --- Neurite Prunings --- Neuronal Arborizations --- Neuronal Network Remodelings --- Neuronal Plasticities --- Neuronal Prunings --- Neuronal Remodelings --- Neuroplasticities --- Plasticities, Brain --- Plasticities, Neural --- Plasticities, Neuronal --- Plasticities, Synaptic --- Plasticity, Brain --- Plasticity, Neural --- Plasticity, Synaptic --- Pruning, Axon --- Pruning, Axonal --- Pruning, Dendrite --- Pruning, Dendritic --- Pruning, Neurite --- Pruning, Neuronal --- Pruning, Synaptic --- Prunings, Axon --- Prunings, Axonal --- Prunings, Dendrite --- Prunings, Dendritic --- Prunings, Neurite --- Prunings, Neuronal --- Prunings, Synaptic --- Remodeling, Dendritic --- Remodeling, Neuronal --- Remodeling, Neuronal Network --- Remodelings, Dendritic --- Remodelings, Neuronal --- Remodelings, Neuronal Network --- Synaptic Plasticities --- Synaptic Prunings --- Cell Plasticity --- Nervous System Physiological Concepts --- Nervous System Physiological Phenomenon --- Nervous System Physiological Process --- Physiology, Nervous System --- Nervous System Physiologic Processes --- Nervous System Physiology --- System Physiology, Nervous --- Anatomies --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Cell --- Cell Biology --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Nerve Cells --- Cell, Nerve --- Cells, Nerve --- Nerve Cell --- Neuron --- physiology --- Computational neuroscience --- Neural networks (Neurobiology) --- 681.3*I51 --- Nervous system plasticity --- Neural adaptation --- Neural plasticity --- Neuronal adaptation --- Neuronal plasticity --- Plasticity, Nervous system --- Soft-wired nervous system --- Synaptic plasticity --- Adaptation (Physiology) --- Neurophysiology --- Developmental neurobiology --- Nerve cells --- Neurocytes --- Nervous system --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Computational neurosciences --- Computational biology --- Neurosciences --- 681.3*I51 Models: deterministic; fuzzy set; geometric; statistical; structural (Patternrecognition) --- Models: deterministic; fuzzy set; geometric; statistical; structural (Patternrecognition)
Choose an application
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as Generalized Linear Models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.
Physiology of nerves and sense organs --- Cognitive neuroscience. --- Neural networks (Neurobiology). --- Neurobiology. --- Neurobiology --- Neural networks (Neurobiology) --- Cognitive neuroscience --- Neurons --- Nonlinear Dynamics --- Nerve Net --- Cognition --- Models, Neurological --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Non-linear Dynamics --- Non-linear Models --- Chaos Theory --- Models, Nonlinear --- Chaos Theories --- Dynamics, Non-linear --- Dynamics, Nonlinear --- Model, Non-linear --- Model, Nonlinear --- Models, Non-linear --- Non linear Dynamics --- Non linear Models --- Non-linear Dynamic --- Non-linear Model --- Nonlinear Dynamic --- Nonlinear Model --- Nonlinear Models --- Theories, Chaos --- Theory, Chaos --- Fractals --- Cognitive neuropsychology --- Cognitive science --- Neuropsychology --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Neural circuitry --- Neurosciences --- physiology
Choose an application
Listing 1 - 6 of 6 |
Sort by
|