Detecting chaos in lineage-trees: A deep learning approach
Many complex phenomena, from weather systems to heartbeat rhythm patterns, are effectively modeled as low-dimensional dynamical systems. Such systems may behave chaotically under certain conditions, and so the ability to detect chaos based on empirical measurement is an important step in understandi...
Main Authors: | Hagai Rappeport, Irit Levin Reisman, Naftali Tishby, Nathalie Q. Balaban |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2022-03-01
|
Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.4.013223 |
Similar Items
-
Dopaminergic balance between reward maximization and policy complexity
by: Naama eParush, et al.
Published: (2011-05-01) -
Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach
by: Amichai Painsky, et al.
Published: (2020-02-01) -
A simple model of the attentional blink and its modulation by mental training.
by: Nadav Amir, et al.
Published: (2022-08-01) -
The Representation of Prediction Error in Auditory Cortex.
by: Jonathan Rubin, et al.
Published: (2016-08-01) -
Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach
by: Kristina Ulicna, et al.
Published: (2021-10-01)