3 papers
q-bio.NC2025
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
Shanshan Qin, Joshua L. Pughe-Sanford, Alexander Genkin +4
We introduce a biologically inspired, multilayer neural architecture composed of Rectified Spectral Units (ReSUs). Each ReSU projects a recent window of its input history onto a ca…
q-bio.NC2025
Neurons as Detectors of Coherent Sets in Sensory Dynamics
Joshua L. Pughe-Sanford, Xuehao Ding, Jason J. Moore +4
We model sensory streams as observations from high-dimensional stochastic dynamical systems and conceptualize sensory neurons as self-supervised learners of compact representations…
q-bio.NC2024
The Neuron as a Direct Data-Driven Controller
Jason Moore, Alexander Genkin, Magnus Tournoy +3
In the quest to model neuronal function amidst gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a…