Systems Neuroscience: Definition, Importance, Applications and More!

The human brain, with its billions of neurons and intricate networks, is one of the most complex and fascinating organs in the human body. Think about it. How does it work? How does it give rise to our thoughts, emotions, and behaviors? In this article, we will try to understand what is systems neuroscience, its importance, and the exciting possibilities it presents.

What is Systems Neuroscience?

Systems neuroscience is a branch of neuroscience. It focuses on understanding how different parts of the brain and nervous system work together to produce complex processes. Consequently, systems neuroscience studies how neural circuits (networks of neurons) integrate and process information to control behaviors, thoughts, and emotions.

However, unlike other areas of neuroscience that may focus on individual neurons or specific brain regions, systems neuroscience looks at the broader picture. How do these elements interact as a whole system? As a result, this field combines experimental techniques from biology, psychology, and physics with theoretical models to understand the complex dynamics of neural systems.

human behavior

The ultimate goal is to see how the brain’s intricate network of connections gives life to human experience and behavior.

Why is Systems Neuroscience Important?

Systems neuroscience is critically important for understanding the brain’s complex networks for several reasons:

  1. Integration of Brain Functions: It helps in comprehending how different brain regions and neural circuits work together to produce integrated functions like memory, learning, and decision-making. This integration is crucial for understanding the full scope of brain activity.
  2. Understanding Behavior: By studying neural networks, systems neuroscience provides insights into the biological basis of behaviors. This includes how we respond to stimuli, make choices, and adapt to our environment.
  3. Cognitive Processes: It sheds light on the neural underpinnings of cognitive functions such as attention, perception, and consciousness. Understanding these processes is key to addressing cognitive disorders and enhancing cognitive abilities. We can even go deeper into topics such as consciousness and finally make sense of why we all are here!
  4. Neurological and Mental Health Disorders: Systems neuroscience aids in identifying how disruptions in neural networks can lead to neurological and psychiatric disorders. As you can imagine, this understanding is essential for developing effective treatments and interventions.
  5. Bridging Biological and Psychological Perspectives: This field bridges the gap between the biological processes in the brain and psychological phenomena. Thus it offers a more comprehensive understanding of mental processes and behaviors.
systems neuroscience

In essence, systems neuroscience is crucial for a holistic approach on how the brain functions as an interconnected system. A system that influences everything from basic sensory processing to complex functions such as thought and behavior.

Key Components of Systems Neuroscience

As a way to understand the role of systems neuroscience, we first need to see its key concepts. The three primary components of neural systems are the neurons, synapses, and neural circuits.


Neurons are the basic building blocks of the nervous system. They are specialized cells responsible for transmitting and processing information in the brain and throughout the body.

Each neuron consists of a cell body, dendrites, and an axon. The cell body contains the nucleus and provides the necessary life support for the cell. Dendrites extend from the cell body and receive signals from other neurons, while the axon is a long, slender projection that transmits electrical impulses away from the cell body.

Neurons communicate with each other via these impulses, playing a vital role in every action, thought, and emotion experienced by an organism.


Synapses are the junctions where neurons connect and communicate. They are critical for the transmission of information across neurons.

There are two main types of synapses: electrical and chemical.

  • Electrical synapses allow direct flow of ionic current from one neuron to another, facilitating rapid communication.
  • Chemical synapses are more common in the human brain. They involve the release of neurotransmitters from the presynaptic neuron (the neuron sending the signal) into the synaptic cleft, a small gap between the neurons. These neurotransmitters then bind to receptors on the postsynaptic neuron (the neuron receiving the signal), triggering a response (excitatory or inhibitory).

Neural Circuits

Neural circuits are networks of neurons interconnected by synapses, forming pathways that process and transmit information. These circuits can be relatively simple, involving a few neurons, or incredibly complex, encompassing millions of neurons.

These circuits are the basis for all neural functions, from basic reflexes to sophisticated cognitive processes. The organization and interaction of neural circuits determine how the nervous system interprets sensory information, makes decisions, and controls bodily actions.

The plasticity of these circuits, meaning their ability to change and adapt in response to experience, is a fundamental aspect of learning and memory.

In simple words, neurons act as the information processing units, synapses as the communication links, and neural circuits as the complex networks that underlie every aspect of brain function and behavior.

But how all these are measured?

Research Methods and Technologies in Systems Neuroscience

Some technologies have been developed recently that help neuroscientists to examine theories and data. Research methods such as fMRI, EEG, and optogenetics have collectively advanced our understanding of the brain’s complex networks.

Functional Magnetic Resonance Imaging (fMRI)

fMRI is a non-invasive imaging technique that measures and maps brain activity. It detects changes in blood flow and oxygen levels in the brain, which are indicative of neural activity. fMRI has been pivotal in identifying the brain regions involved in various cognitive functions and behaviors. It allows researchers to observe the brain “in action” and understand which areas are activated during specific tasks or in response to certain stimuli.

Impact on Understanding Neural Systems: fMRI has provided insights into the functional organization of the brain. This helps to map out which areas are responsible for various tasks and how different brain regions interact.

Electroencephalography (EEG)

EEG involves placing electrodes on the scalp to record electrical activity in the brain. This method is essential for studying the temporal dynamics of brain activity, as it provides real-time data on electrical patterns such as brain waves. EEG is widely used in research on sleep, cognition, and neurological disorders. Its high temporal resolution makes it particularly useful for understanding the timing of neural processes.

Impact on Understanding Neural Systems: EEG has been crucial in understanding the brain’s electrical activity and its relation to different states of consciousness, cognitive processes, and various neurological conditions.

Interstingly, EEG has now become a home-used device. More specifically, it is used for monitoring brain waves during meditation. You don’t believe me? Check this: Brain Waves During Meditation – Time To Use A Monitoring Device?


A more recent advancement, optogenetics, allows for the control of specific neurons in living tissue using light. This method involves genetically modifying neurons to express light-sensitive ion channels. By shining light on specific wavelengths, researchers can activate or inhibit these neurons. Optogenetics has revolutionized neuroscience by providing precise control over individual neurons and neural circuits.

Impact on Understanding Neural Systems: Optogenetics has allowed scientists to explore the causal relationships between specific neural activities and behaviors, offering a more in-depth understanding of neural circuits’ roles.

Indeed, optogenetics is a very interesting field. Karl Deisseroth’s book Projections: A Story of Human Emotions by Karl Deisseroth explains a lot about this method.

Projections Karl Deisseroth

Major Discoveries in Systems Neuroscience

Systems neuroscience has witnessed several significant historical discoveries. In fact, there is a very interesting article posted in The Journal of Neuroscience: The Next 50 Years of Neuroscience. Within this article, among others, the writers discuss the below:

  1. Advancements in Cellular and Molecular Neuroscience: Over the past 50 years, our understanding of the cellular and molecular processes that drive thoughts, desires, and actions has grown immensely. This progress was facilitated by technological innovations like patch-clamp electrophysiology, PCR, and genomic sequencing. These advancements have propelled us toward comprehending how billions of brain components work together to generate behavior, lead to disease, and differentiate the human brain from other species.
  2. Neurodevelopment Research: This field has made substantial strides in understanding how internal and external factors influence the development of individual neurons, circuits, and the brain, affecting disease risk and behavior. Key focuses include transcriptional characterization of neurons and the use of whole genome sequencing to map cell lineage. These approaches have been pivotal in revealing how neural progenitors form complex circuits in the nervous system.
  3. Evolution of Brain Mapping: Our understanding of the brain has evolved from knowing just 47 brain regions in 1909 to a current map featuring 98 regions in the cortex alone. The development of genetic tools has enabled more precise manipulation of circuits in animal models, enhancing our understanding of sensory processing, motor control, and memory.
  4. Gene-Editing Strategies: The recent development of virally mediated gene-editing strategies has been transformative. These techniques have brought circuit-based experiments to the forefront, elucidating the connections and specific roles of unique neural populations. This progress is expected to continue, possibly contributing to our understanding of neural ensembles and consciousness.

Current Research Trends in Systems Neuroscience

Recent trends and hot topics in systems neuroscience reflect the ongoing evolution as they mentioned in the Qmenta’s article about neuroscince trends.

  1. Psychedelics Treatments: Psychedelic drugs are being researched for their potential in treating various psychological disorders. Studies indicate that substances like psilocybin and MDMA may alter brain communication patterns, potentially aiding in the treatment of PTSD, depression, anxiety, and more. We have also tried to make an overview of Psychedelics and its use to treat Depression. And the truth is that psychedelics might be the future of treatment!
  2. Brain Implants: Brain-computer interfaces (BCIs), like those developed by companies such as Braingate and Neuralink, are emerging technologies. They enable communication between the brain and electronic devices. They aim to restore function in individuals affected by neurological disorders like Parkinson’s Disease, stroke, and spinal cord injury.
  3. Advancements in MRI Technology: MRI machines are evolving in two directions. Larger and more capable, and smaller and more portable. The introduction of high-field 7 Tesla MRI scanners has allowed for unprecedented insights into the human body and brain.
  4. New PET Radiotracers: Novel positron emission tomography (PET) radiotracers have shown promise in measuring brain changes in diseases like Alzheimer’s before symptoms appear. These tracers are crucial for guiding the discovery and development of disease-modifying therapeutics in neurodegenerative diseases.
  5. AI Diagnostics in Clinical Practice: The use of AI and machine-learning-based biomarker tools in neuroscience is on the rise. These tools are expected to become more integrated into clinical practice, assisting in tasks like tumor segmentation in MRI scans, and increasing diagnostic accuracy. The NHS AI Lab in the UK is one example of an initiative pushing this integration forward.

These current trends reflect the field’s ongoing endeavor to deepen our understanding of the brain and improve the treatment and management of neurological disorders.

Applications and Implications

Research in systems neuroscience has a wide range of applications that significantly impact various aspects of health, technology, and understanding human cognition.

1. Developing Treatments for Neurological Disorders

By understanding how neural networks malfunction in disorders such as Alzheimer’s, Parkinson’s, and epilepsy, systems neuroscience research can lead to the development of more effective treatments. This includes both pharmacological interventions and techniques like deep brain stimulation, which can alleviate symptoms and improve quality of life for patients with these conditions.

2. Enhancing Learning and Memory

Insights into the neural circuits involved in learning and memory can lead to methods for enhancing these cognitive functions. This could be particularly beneficial in educational settings and for individuals with learning disabilities or memory impairments. Techniques such as neurofeedback and targeted brain stimulation are being explored as ways to enhance cognitive capabilities.

3. Creating Advanced AI Systems

The study of neural networks and brain function is a key inspiration for the development of artificial intelligence and machine learning algorithms. By mimicking the way the brain processes and integrates information, researchers can develop more sophisticated and efficient AI systems. This not only advances technology but also provides a feedback loop, as AI can be used to model and understand the brain’s functioning better.

Ethical Considerations

The research in systems neuroscience, while promising, raises several ethical considerations and future implications:

Privacy and Consent

With advanced neuroimaging and brain-computer interfaces, there are concerns about privacy and the potential misuse of neural data. Ensuring informed consent and maintaining strict confidentiality are essential.


The potential for enhancing cognitive abilities raises questions about fairness, access, and the definition of ‘normal’ brain function. There are concerns about creating inequalities or societal pressures to use such enhancements.

AI and Autonomy

The development of AI systems based on neural principles could lead to ethical dilemmas around autonomy, consciousness, and the treatment of AI entities.

Harmful Use

There’s a risk that neurological research could be used for harmful purposes, such as developing neuro-weapons or methods of mind control, emphasizing the need for ethical guidelines and regulations.

Impact on Identity and Agency

Interventions that alter brain function could affect an individual’s sense of self or agency, raising philosophical questions about identity and the nature of the human experience.

Indeed this research could lead us to a Black Mirror episode!

The future implications of systems neuroscience research are profound and require careful ethical consideration and dialogue among scientists, ethicists, policymakers, and the public to ensure responsible and beneficial use of these advancements.

READ ALSO: The Dark Side of the Brain: The Neuroscience of Violence and War


In conclusion, systems neuroscience stands as a pivotal field in understanding the complex networks of the brain and their influence on behavior and cognitive functions. Through its study of neurons, synapses, and neural circuits, and the employment of advanced methods like fMRI, EEG, and optogenetics, it has made significant strides to explore the intricacies of neural interactions and processing. Major historical discoveries and current research trends highlight its dynamic nature, with applications ranging from treating neurological disorders to enhancing cognitive functions and developing sophisticated AI systems.

However, the ethical implications of these advancements necessitate careful consideration. The future potential of systems neuroscience is vast, holding promise not only in the realm of healthcare and technology but also in enriching our understanding of the human experience, ensuring its significance across various fields.

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