Computation Through Neural Population Dynamics
By Saurabh Vyas, Matthew D. Golub, David Sussillo, Krishna V. Shenoy. Annual Review of Neuroscience, 2020
657 citations recorded by the source corpus.
Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural populations. An emerging challenge now is to uncover the nature of the associated computations, how they are implemented, and what role they play in driving behavior. We term this computation through neural population dynamics. If successful, this framework will reveal general motifs of neural population activity and quantitatively describe how neural population dynamics implement computations necessary for driving goal-directed behavior. Here, we start with a mathematical primer on dynamical systems theory and analytical tools necessary to apply this perspective to experimental data. Next, we highlight some recent discoveries resulting from successful application of dynamical systems. We focus on studies spanning motor control, timing, decision-making, and working memory. Finally, we briefly discuss promising recent lines of investigation and future directions for the computation through neural population dynamics framework.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ed0b7573644c1728a9f3c3bf33b8ff83c7920222
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Citations in the corpus
- AI of Brain and Cognitive Sciences: From the Perspective of First Principles (2023, background): “Computer Science Review, 2009; 3: 127-149 (2009). [44] Lukoševičius M, Jaeger H and Schrauwen B.”
- Neural correlates of perceptual consciousness from within: A narrative review of human intracranial research (2025, unknown): “Second, key computations at the level of population dynamics can only be uncovered by unit-level recordings ( Vyas et al., 2020 ).”
- Cognition is an emergent property (2024, unknown): “Coordination at this scale is crucial for attention, decision-making, action generation, and memory retrieval [4–6].”