In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology.
Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines.
Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience.
An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.
In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology.
Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines.
Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience.
An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.
During National Learning and Development Month in October, we celebrate the growth of students and the educators who help with their success. Here is a collection of titles with books that inform on different techniques for learning that can help students to grow to their fullest potential.
For National Depression Education and Awareness Month in October, we are sharing a collection of titles that educates and informs on depression, including personal stories from those who have experienced depression and topics that range from causes and symptoms of depression to how to develop coping mechanisms to battle depression.
For Health Literacy Month in October, we are sharing a list of titles that focus on education about health information and making information about personal and public health easier to understand.
For Emotional Wellness Month in October, we are sharing a collection of titles that includes books that can help students with prioritizing emotional health and aid with stress management. The collection also gives insight on the psychology of emotional health and wellness from an academic perspective. Find the full collection of titles here.
For LGBTQIA+ History Month in October, we’re celebrating the shared history of individuals within the community and the importance of the activists who have fought for their rights and the rights of others. We acknowledge the varying and diverse experiences within the LGBTQIA+ community that have shaped history and have led the way for those
Penguin Random House Education is proud to celebrate Latinx & Hispanic Heritage Month, which runs annually from September 15th through October 15th. We are highlighting the works of our authors and illustrators from the Latinx and Hispanic community, whose stories and characters have a profound impact on our society. Here is a collection of titles
