no code implementations • 8 Sep 2023 • Vidyesh Rao Anisetti, Ananth Kandala, J. M. Schwarz
This physical interpretation suggests that by encoding more detailed information into input and feedback boundary forces, the process of emergent learning can be rather ubiquitous and, thus, serve as a very early physical mechanism, from an evolutionary standpoint, for learning in biological systems.
no code implementations • 17 Apr 2023 • Tao Zhang, Sarthak Gupta, Madeline A. Lancaster, J. M. Schwarz
We postulate that the enhancement of ZEB2 expression driving this intermediate state is potentially due to chromatin reorganization.
no code implementations • 10 Aug 2022 • Vidyesh Rao Anisetti, A. Kandala, B. Scellier, J. M. Schwarz
In a resistive electrical circuit with variable resistors, an activation current is applied at a set of input nodes at one frequency, and an error current is applied at a set of output nodes at another frequency.
no code implementations • 22 Mar 2022 • Vidyesh Rao Anisetti, B. Scellier, J. M. Schwarz
Such efforts include equilibrium propagation (EP) and coupled learning (CL), which require storage of two different states-the free state and the perturbed state-during the learning process to retain information about gradients.
no code implementations • 17 Aug 2020 • Kuang Liu, Alison E. Patteson, Edward J. Banigan, J. M. Schwarz
Experiments indicate that correlated chromosome dynamics and nuclear shape fluctuations arise from motor activity.
no code implementations • 29 Jun 2020 • Amanda Parker, M. Cristina Marchetti, M. Lisa Manning, J. M. Schwarz
Cellularized tissue and polymer networks can both transition from floppy to rigid as a function of their control parameters, and, yet, the two systems often mechanically interact, which may affect their respective rigidities.
