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From Neuron to Cognition via Computational Neuroscience
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders...
Priming Translation
This innovative volume builds on Michael S. Gazzaniga’s Interpreter Theory toward radically expanding the theoretical and methodological scope of translational priming research. Gazzaniga’s Interpreter Theory, based on empirical studies carried out with split-brain patients, argues for the Left-Brain Interpreter (LBI), a module in the brain’s left hemisphere that seeks to make sense of their world based on available evidence—and, where no evidence is available, primed by past memories, confabulates coherence. The volume unpacks this idea in translation research to test whether translators are primed to confabulate by the LBI in their own work. Robinson investigates existing empirical...
Statement of Disbursements of the House
Covers receipts and expenditures of appropriations and other funds.
Modeling Neural Circuits Made Simple with Python
An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between...
The Oxford Handbook of Transcranial Stimulation
Transcranial stimulation encompasses noninvasive methods that transmit physical fields-such as magnetic, electric, ultrasound, and light-to the brain to modulate its function. The most widespread approach, transcranial magnetic stimulation (TMS), has emerged as an important tool in several areas of neuroscience as well as in clinical applications in psychiatry and neurology. Originally envisioned as a way to measure the responsiveness and conduction speed of neurons and synapses in the brain and spinal cord, TMS has also become an important tool for changing the activity of brain neurons and the functions they subserve as well as an causal adjunct to brain imaging and mapping techniques. Alo...
An Introductory Course in Computational Neuroscience
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and...
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