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Systems neuroscience

– Definition of Systems Neuroscience: – Subdiscipline of neuroscience and systems biology – Studies structure and function of neural circuits and systems – Analyzes sensory […]

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– Definition of Systems Neuroscience:
– Subdiscipline of neuroscience and systems biology
– Studies structure and function of neural circuits and systems
– Analyzes sensory information, perceptions, decisions, and movements
– Concerned with molecular and cellular approaches to brain function
– Studies high-level mental functions like language and memory

– Techniques Used in Systems Neuroscience:
– Electrophysiology: single-unit and multi-electrode recording
– Functional magnetic resonance imaging (fMRI)
– Positron emission tomography (PET) scans
– Tools to understand network function of neurons
– Commonly used in educational settings and neuroscience departments

– Notable Works and References:
– Bear, M. F. et al. Eds. (1995): “Neuroscience: Exploring The Brain”
– Hemmen J. L., Sejnowski T. J. (2006): “23 Problems in Systems Neuroscience”
– Eryomin A.L. (2022): “Biophysics of Evolution of Intellectual Systems”
– List of notable researchers in the field
– References in systems neuroscience literature

– Relationship with Other Neuroscience Disciplines:
– Distinction from behavioral and cognitive neuroscience
– Overlaps with cellular/molecular neuroscience
– Focus on neural pathways, circuits, and brain networks
– Studies brain structure and function at different levels
– Interdisciplinary approach to understanding brain function

– Educational and Research Applications:
– Common sequence of graduate school neuroscience courses
– Techniques used for understanding neural networks
– Study of brain function and mental processes
– Employed in research and educational institutions
– Advances in technology for studying neural circuits and systems

Systems neuroscience (Wikipedia)

Systems neuroscience is a subdiscipline of neuroscience and systems biology that studies the structure and function of neural circuits and systems. Systems neuroscience encompasses a number of areas of study concerned with how nerve cells behave when connected together to form neural pathways, neural circuits, and larger brain networks. At this level of analysis, neuroscientists study how different neural circuits analyze sensory information, form perceptions of the external world, make decisions, and execute movements. Researchers in systems neuroscience are concerned with the relation between molecular and cellular approaches to understanding brain structure and function, as well as with the study of high-level mental functions such as language, memory, and self-awareness (which are the purview of behavioral and cognitive neuroscience). Systems neuroscientists typically employ techniques for understanding networks of neurons as they are seen to function, by way of electrophysiology using either single-unit recording or multi-electrode recording, functional magnetic resonance imaging (fMRI), and PET scans. The term is commonly used in an educational framework: a common sequence of graduate school neuroscience courses consists of cellular/molecular neuroscience for the first semester, then systems neuroscience for the second semester. It is also sometimes used to distinguish a subdivision within a neuroscience department in a university.

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