The ability to adapt behavior flexibly to changing environments is a hallmark of intelligence. However, the biological ...
9Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. Current address for A. Hayashi: Department of Pathology, Kyorin University School of ...
Online supervised learning of temporal patterns in biological neural networks under feedback control
Reservoir computing is a machine learning paradigm that exploits the transient dynamics of high-dimensional nonlinear systems. Although it was originally inspired by the mammalian brain and widely ...
Pavlov demonstrated that effective conditioning requires the conditioned stimulus (CS) to slightly precede the unconditioned stimulus (US), but the underlying neural substrates that fulfill this ...
The MSC Section aims to promote the advancement and diffusion of the use of mathematics, statistics and computing in psychology and to arrange conferences, meetings, lectures and discussions of ...
Additionally, we revisit the existing literature in alignment with this novel framework, highlighting gaps and challenges, and outlining promising directions for future research. The proposed ...
ρ-CP is a crystal plasticity solver that interfaces with the open source finite element solver, MOOSE (https://github.com/idaholab/moose), for crystal plasticity ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results