61 citations · 121 across the 7 of their papers we have counts for
8 papers
Evolving Dyadic Strategies for a Cooperative Physical Task
Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth
Many cooperative physical tasks require that individuals play specialized roles (e.g., leader-follower). Humans are adept cooperators, negotiating these roles and transitions betwe…
infotheory: A C++/Python package for multivariate information theoretic analysis
Madhavun Candadai, Eduardo J. Izquierdo
This paper introduces \texttt{infotheory}: a package written in C++ and usable from Python and C++, for multivariate information theoretic analyses of discrete and continuous data.…
Multifunctionality in embodied agents: Three levels of neural reuse
Madhavun Candadai, Eduardo Izquierdo
The brain in conjunction with the body is able to adapt to new environments and perform multiple behaviors through reuse of neural resources and transfer of existing behavioral tra…
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks
Madhavun Candadai Vasu, Eduardo Izquierdo
The nervous system encodes continuous information from the environment in the form of discrete spikes, and then decodes these to produce smooth motor actions. Understanding how spi…
Optimal modularity and memory capacity of neural reservoirs
Nathaniel Rodriguez, Eduardo Izquierdo, Yong-Yeol Ahn
The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabili…
Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in Caenorhabditis elegans
Erick Olivares, Eduardo J. Izquierdo, Randall D. Beer
Despite the relative simplicity of C. elegans, its locomotion machinery is not yet well understood. We focus on the generation of dorsoventral body bends. While central pattern gen…
Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Elucidating principles that underlie computation in neural networks is currently a major research topic of interest in neuroscience. Transfer Entropy (TE) is increasingly used as a…
Information flow through a model of the C. elegans klinotaxis circuit
Eduardo J. Izquierdo, Paul L. Williams, Randall D. Beer
Understanding how information about external stimuli is transformed into behavior is one of the central goals of neuroscience. Here we characterize the information flow through a c…