What do we mean by the dimensionality of behavior?
arXiv:2008.09574 · doi:10.1073/pnas.2021860119
Abstract
There is growing effort in the "physics of behavior" that aims at complete quantitative characterization of animal movements under more complex, naturalistic conditions. One reaction to the resulting explosion of data is the search for low dimensional structure. Here I try to define more clearly what we mean by the dimensionality of behavior, where observable behavior may consist either of continuous trajectories or sequences of discrete states. This discussion also serves to isolate situations in which the dimensionality of behavior is effectively infinite. I conclude with some more general perspectives about the importance of quantitative phenomenology.
arXiv commentBased in part on a presentation at the Physics of Behavior Virtual Workshop (30 April 2020). Videos of the lectures and discussion are available at https://www.youtube.com/watch?v=xSwWAgp2VdU
References in corpus (15)
- Weak pairwise correlations imply strongly correlated network states in a neural population
- Identification of direct residue contacts in protein-protein interaction by message passing
- Statistical mechanics for natural flocks of birds
- Dimensionality and dynamics in the behavior of C. elegans
- Deep learning tools for the measurement of animal behavior in neuroscience
- Searching for collective behavior in a network of real neurons
- Social interactions dominate speed control in driving natural flocks toward criticality
- Collective behavior of place and non-place neurons in the hippocampal network
- Stimulus-dependent maximum entropy models of neural population codes
- Local equilibrium in bird flocks
- Maximum Caliber: a general variational principle for dynamical systems
- Dynamical criticality in the collective activity of a population of retinal neurons
- Dynamical maximum entropy approach to flocking
- Rediscovering the power of pairwise interactions
- Memories of Murray and the Quark Model
Cited by in corpus (8)
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- Universal scale-free representations in human visual cortex
- Canalisation and plasticity on the developmental manifold of Caenorhabditis elegans
- Nucleon Short-Range Correlations and High-Momentum Dynamics: Implications on the Equation of State of Dense Matter
- Extrinsic vs Intrinsic Criticality in Systems with Many Components