Neurons and Networks: An Introduction to Neuroscience

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An understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. The third edition of From Molecules to Networks provides the solid foundation of the morphological, biochemical, and biophysical properties of nerve cells.

[PDF] Neurons and networks : an introduction to neuroscience - Semantic Scholar

In keeping with previous editions, the unique content focus on cellular and molecular neurobiology and related computational neuroscience is maintained and enhanced. All chapters have been thoroughly revised for this third edition to reflect the significant advances of the past five years. The new edition expands on the network aspects of cellular neurobiology by adding new coverage of specific research methods e.

Written and edited by leading experts in the field, the third edition completely and comprehensively updates all chapters of this unique textbook and insures that all references to primary research represent the latest results. Byrne is an internationally acclaimed Neuroscientist. Heidelberger is an accomplished cellular neurophysiologist specializing in mechanisms of neurotransmitter release. She received her doctoral training under the guidance of Gary Matthews and her postdoctoral training under the direction of Nobel Laureate Erwin Neher.

Heidelberger is a former president and executive board member of the Biophysical Society's Subgroup on Exocytosis and Endocytosis and serves on the editorial board of the Journal of Neurophysiology. She has directed and taught graduate-level courses in cellular neurophysiology and membrane biophysics for more than a decade. He has developed and directed graduate-level courses in cellular and molecular neurobiology for more than two decades.


He is at once a first class experimentalist, bringing to bear a variety of cellular, molecular and imaging approaches to study the mechanisms of learning and memory storage. Here his work has led to a number of penetrating insights, including the first demonstration of operant conditioning in Aplysia. This has led to his finding a series of paradigms for enhancing memory storage that are quite remarkable.

1 Introduction

Conveying the integrated story to readers coherently is a major task. This third edition of the now classic From Molecules to Networks text accomplishes all of this with elegance, even better than the preceding two volumes. It will be of inestimable value to student and professional alike.

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Become a Data Scientist datacamp. Build and share your own catalog of courses with Class Central's custom lists. Neurons in isolation are fascinating and complicated, but the real magic of neuroscience happens in the interaction between neurons. In this course, we examine how neurons pass signals to one another and how complex dynamics can result from just a few neurons arranged in relatively simple circuits. Continue your journey through our Fundamentals of Neuroscience series with animations that explore the richness and complexity of the brain, documentaries about working labs around Cambridge.

Join us as we use virtual labs that simulate neuron circuitry as we investigate the collective behavior of neurons and learn how the brain modulates the signals in those networks.

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Get personalized course recommendations, track subjects and courses with reminders, and more. Home Subjects Science Biology. Membrane Voltage 2.

Neurons and Networks

Dynamics of the Action Potential 3. Synaptic Transmission 4. Synaptic Plasticity 5. Neuromodulators 6.

Neuronal Communication Beyond Synapses 7. Microcircuits of the Neocortex 8. Microcircuits of the Hippocampus. Unit Activity Optical Measurements and Perturbations Deep Brain Stimulation Noninvasive Brain Stimulation Network Interactions. Low-Frequency Oscillations Theta Oscillations Alpha Oscillations Beta Oscillations Gamma Oscillations High-Frequency Oscillations.

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