Computation Through Neural Population Dynamics
Neurosciences Institute · Stanford University · +2 more institutions
Abstract
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…
Citation impact
- FWCI
- 39.51
- Percentile
- 100%
- References
- 166
Authors
4- SVSaurabh VyasCorresponding
Neurosciences Institute, Stanford University
- MDMatthew D. Golub
Neurosciences Institute, Stanford University
- DSDavid Sussillo
Google (United States), Neurosciences Institute, Stanford University
- KVKrishna V. Shenoy
Howard Hughes Medical Institute, Neurosciences Institute, Stanford University
Topics & keywords
- Models of neural computation
- Computer science
- Computation
- Population
- Artificial intelligence
- Perspective (graphical)
- Dynamical systems theory
- Artificial neural network
- Peace, Justice and strong institutions