How far neuroscience is from understanding brains (2023)

Unraveling the Enigma of Brain Function: Navigating Conceptual and Technical Frontiers
The Conceptual Labyrinth: Rethinking How We Understand the Brain
While cellular neuroscience has made impressive strides, a unifying theory of brain function remains elusive. Current neuroscientific models often fall short, failing to capture the intricate dance of neuronal interactions that give rise to complex behaviors and cognitive processes.
A key challenge lies in our reliance on borrowed concepts from other disciplines. Analogies from computer science, physics, and psychology, while useful for initial exploration, ultimately fail to explain the unique biological mechanisms underlying brain activity. As György Buzsáki aptly points out, "The brain-cognitive behavior problem necessitates moving beyond metaphorical descriptions to a focus on the physiological mechanisms themselves."
Another conceptual roadblock is the traditional view of time as the independent variable in brain processes. Groundbreaking work by Sonja Grün and colleagues reveals spatial dynamics in neuron firing sequences, challenging this temporal framework. Their research demonstrates that the timing of spikes is intricately linked to the spatial arrangement of neurons, highlighting the need for a spatiotemporal perspective.
Beyond the Wiring Diagram: The Importance of Dendritic Processing and Network Dynamics
Connectomics provides detailed maps of neural connections, but simply understanding the wiring diagram is insufficient. The complexity of dendritic processing, where the bulk of neuronal computation occurs, adds another layer to the puzzle.
Dendrites are not passive recipients of signals but active integrators, capable of supporting a multitude of processes in parallel. Local and global dendritic spikes, plateau potentials, and intricate interactions between different dendritic compartments contribute to the decision of whether a neuron will fire an action potential. This complex dendritic landscape is largely ignored in most current brain models.
Furthermore, the brain’s activity is not solely driven by external stimuli but also characterized by intrinsic, self-organized dynamics. This ongoing activity, often dismissed as “spontaneous,” plays a crucial role in shaping brain states and behavior.
Technical Hurdles and Experimental Conundrums
Advancements in electrophysiological, magnetic, and optical recording techniques have opened new windows into brain activity. However, technical limitations persist. Capturing the fast-paced spatial dynamics of dendritic and axonal processing remains a significant challenge, particularly in primates.
Another experimental obstacle lies in defining appropriate baseline and reference conditions. The ever-changing nature of brain activity makes it difficult to establish a true “rest” state. The brain’s proactive nature, preparing for tasks even before they begin, adds further complexity to experimental design and interpretation.
Reframing the Question: Towards a Theory of Spatial Dynamics
To overcome these conceptual and technical hurdles, a paradigm shift is needed. Instead of relying on borrowed analogies and treating time as the sole independent variable, embracing the concept of spatial dynamics offers a promising path forward.
Spatial dynamics, the propagation of changes in activity variables through the neural network, captures the intricate interplay of space and time in brain processes. This framework can be applied at different scales, from single neurons to large populations, providing a more holistic view of brain function.
The journey towards a comprehensive theory of brain function is a challenging one, requiring us to rethink fundamental assumptions and develop new conceptual tools. However, by embracing the complexity of spatial dynamics and developing innovative techniques, we can begin to unravel the enigma of how the brain truly works.