Lectures in Supercomputational Neuroscience
indgår i Understanding Complex Systems serien
- Indbinding:
- Paperback
- Sideantal:
- 388
- Udgivet:
- 30. november 2010
- Størrelse:
- 155x21x235 mm.
- Vægt:
- 587 g.
- 2-3 uger.
- 30. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Lectures in Supercomputational Neuroscience
Computational Neurosciences is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our knowledge.
The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat's brain, supported with data from experimental studies.
This book is particularly suited for graduate students and nonspecialists from related fields with a general science background, looking for a substantial but ¿hands-on¿ introduction to the subject matter.
The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat's brain, supported with data from experimental studies.
This book is particularly suited for graduate students and nonspecialists from related fields with a general science background, looking for a substantial but ¿hands-on¿ introduction to the subject matter.
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Bogen Lectures in Supercomputational Neuroscience findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori > Kybernetik og systemteori
- Matematik og naturvidenskab > Fysik > Matematisk fysik
- Matematik og naturvidenskab > Fysik > Anvendt fysik > Biofysik
- Matematik og naturvidenskab > Biologi og biovidenskab > Biovidenskab: generelle emner > Neurovidenskab
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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