activity
20082026
most citedAn Integrative Introduction to Human Augmentation Science

5 citations · 19 across the 23 of their papers we have counts for

collaborators

25 papers

cs.LG2026

DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics

Jayadratha Gayen, Bradly Alicea

Understanding how a nervous system wires itself from birth to adulthood is a fundamental challenge in developmental neuroscience. We present DevoTG, a temporal graph framework that…

q-bio.QM2023

Hypergraphs Demonstrate Anastomoses During Divergent Integration

Bradly Alicea

Complex networks can be used to analyze structures and systems in the embryo. Not only can we characterize growth and the emergence of form, but also differentiation. The process o…

q-bio.NC2023★ 1 cited

Super-performance: sampling, planning, and ecological information

Bradly Alicea

The connection between active perception and the limits of performance provide a path to understanding naturalistic behavior. We can take a comparative cognitive modeling perspecti…

q-bio.NC2022

Layers, Folds, and Semi-Neuronal Information Processing

Bradly Alicea, Jesse Parent

What role does phenotypic complexity play in the systems-level function of an embodied agent? The organismal phenotype is a topologically complex structure that interacts with a ge…

cs.NE2022

Flipping the switch on local exploration: Genetic Algorithms with Reversals

Ankit Grover, Vaishali Yadav, Bradly Alicea

One important feature of complex systems are problem domains that have many local minima and substructure. Biological systems manage these local minima by switching between differe…

q-bio.NC2021★ 3 cited

Meta-brain Models: biologically-inspired cognitive agents

Bradly Alicea, Jesse Parent

Artificial Intelligence (AI) systems based solely on neural networks or symbolic computation present a representational complexity challenge. While minimal representations can prod…