Eduardo J. Izquierdo

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 25

Top Topics

Theoretic Analysis

Pattern Generation

Top Venues

Publications

Jason A. Yoder, Cooper B. Anderson, Cehong Wang, Eduardo J. Izquierdo
Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks. Frontiers Comput. Neurosci. 16 (2022)
Erick Olivares, Eduardo J. Izquierdo, Randall D. Beer
A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans. Frontiers Comput. Neurosci. 15 (2021)
Muneki Ikeda, Hirotaka Matsumoto, Eduardo J. Izquierdo
Persistent thermal input controls steering behavior in Caenorhabditis elegans. PLoS Comput. Biol. 17 (1) (2021)
Abe Leite, Eduardo J. Izquierdo
Generating reward structures on a parameterized distribution of dynamics tasks. ALIFE (2021)
Brian A. Dahlberg, Eduardo J. Izquierdo
. ALIFE (2020)
Graham Todd, Madhavun Candadai, Eduardo J. Izquierdo
Interaction Between Evolution and Learning in NK Fitness Landscapes. ALIFE (2020)
Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth
Evolving Dyadic Strategies for a Cooperative Physical Task. HAPTICS (2020)
Abe Leite, Madhavun Candadai, Eduardo J. Izquierdo
Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution. ALIFE (2020)
Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth
Evolving Dyadic Strategies for a Cooperative Physical Task. CoRR (2020)
Madhavun Candadai, Eduardo J. Izquierdo
infotheory: A C++/Python package for multivariate information theoretic analysis. J. Open Source Softw. 5 (47) (2020)
Mahi Luthra, Eduardo J. Izquierdo, Peter M. Todd
Cognition Evolves with the Emergence of Environmental Patchiness. ALIFE (2020)
Lauren V. Benson, Madhavun Candadai, Eduardo J. Izquierdo
Neural reuse in multifunctional neural networks for control tasks. ALIFE (2020)
Madhavun Candadai, Eduardo J. Izquierdo
infotheory: A C++/Python package for multivariate information theoretic analysis. CoRR (2019)
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Three levels of neural reuse through the dynamical lens: structural network, autonomous dynamics and transient dynamics. CoRR (2018)
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Multifunctionality in embodied agents: Three levels of neural reuse. CogSci (2018)
Jason A. Yoder, Eduardo J. Izquierdo
Behavioral Stability in the Face of Neuromodulation in Brain-Body-Environment Systems. ALIFE (2018)
Miguel Aguilera, Carlos Alquezar-Baeta, Eduardo J. Izquierdo
Signatures of criticality in a maximum entropy model of the C. elegans brain during free behaviour. ECAL (2017)
Matthew Setzler, Eduardo J. Izquierdo
Adaptability and Neural Reuse in Minimally Cognitive Agents. CogSci (2017)
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks. CoRR (2017)
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. CoRR (2017)
Madhavun Candadai Vasu, Eduardo J. Izquierdo
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. ICANN (1) (2017)
Randall D. Beer, Eduardo J. Izquierdo
Propagation of rhythmic dorsoventral wave in a neuromechanical model of locomotion in Caernohabditis elegans. ALIFE (2016)
Eduardo J. Izquierdo, Matthew Setzler
Evolvability of Minimally Cognitive Agents. ALIFE (2016)
Eduardo J. Izquierdo, Randall D. Beer
. ECAL (2015)
Eduardo J. Izquierdo, Paul L. Williams, Randall D. Beer
Information flow through a model of the C. elegans klinotaxis circuit. CoRR (2015)
Eduardo J. Izquierdo, Randall D. Beer
Klinotaxis. PLoS Comput. Biol. 9 (2) (2013)
Eduardo J. Izquierdo, Miguel Aguilera, Randall D. Beer
Analysis of Ultrastability in Small Dynamical Recurrent Neural Networks. ECAL (2013)