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Eduardo Izquierdo-Torres
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- affiliation: Indiana University Bloomington, Luddy School of Informatics, Computing, and Engineering, Cognitive Science Program, IN, USA
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2020 – today
- 2024
- [j9]Haily Merritt, Gabriel J. Severino, Eduardo J. Izquierdo:
The Dynamics of Social Interaction Among Evolved Model Agents. Artif. Life 30(2): 216-239 (2024) - 2022
- [j8]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: 818985 (2022) - 2021
- [j7]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: 572339 (2021) - [j6]Muneki Ikeda, Hirotaka Matsumoto, Eduardo J. Izquierdo:
Persistent thermal input controls steering behavior in Caenorhabditis elegans. PLoS Comput. Biol. 17(1) (2021) - [c25]Abe Leite, Eduardo J. Izquierdo:
Generating reward structures on a parameterized distribution of dynamics tasks. ALIFE 2021: 118 - 2020
- [j5]Madhavun Candadai, Eduardo J. Izquierdo:
infotheory: A C++/Python package for multivariate information theoretic analysis. J. Open Source Softw. 5(47): 1609 (2020) - [c24]Chelsea Campbell, Eduardo Izquierdo, Robert L. Goldstone:
How much to copy from others? The role of partial copying in social learning. CogSci 2020 - [c23]Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth:
Evolving Dyadic Strategies for a Cooperative Physical Task. HAPTICS 2020: 684-689 - [c22]Brian A. Dahlberg, Eduardo J. Izquierdo:
Contributions from parallel strategies for spatial orientation in C. elegans. ALIFE 2020: 16-24 - [c21]Lauren V. Benson, Madhavun Candadai, Eduardo J. Izquierdo:
Neural reuse in multifunctional neural networks for control tasks. ALIFE 2020: 210-218 - [c20]Abe Leite, Madhavun Candadai, Eduardo J. Izquierdo:
Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution. ALIFE 2020: 441-449 - [c19]Mahi Luthra, Eduardo J. Izquierdo, Peter M. Todd:
Cognition Evolves with the Emergence of Environmental Patchiness. ALIFE 2020: 450-458 - [c18]Graham Todd, Madhavun Candadai, Eduardo J. Izquierdo:
Interaction Between Evolution and Learning in NK Fitness Landscapes. ALIFE 2020: 761-767 - [i7]Saber Sheybani, Eduardo J. Izquierdo, Eatai Roth:
Evolving Dyadic Strategies for a Cooperative Physical Task. CoRR abs/2004.10558 (2020)
2010 – 2019
- 2019
- [i6]Madhavun Candadai, Eduardo J. Izquierdo:
infotheory: A C++/Python package for multivariate information theoretic analysis. CoRR abs/1907.02339 (2019) - 2018
- [j4]Jesús Mario Siqueiros-García, Tom Froese, Carlos Gershenson, Wendy Aguilar, Hiroki Sayama, Eduardo Izquierdo:
ALife and Society: Editorial Introduction to the Artificial Life Conference 2016 Special Issue. Artif. Life 24(1) (2018) - [c17]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Multifunctionality in embodied agents: Three levels of neural reuse. CogSci 2018 - [c16]Jason A. Yoder, Eduardo J. Izquierdo:
Behavioral Stability in the Face of Neuromodulation in Brain-Body-Environment Systems. ALIFE 2018: 268-275 - [i5]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Three levels of neural reuse through the dynamical lens: structural network, autonomous dynamics and transient dynamics. CoRR abs/1802.03891 (2018) - 2017
- [c15]Matthew Setzler, Eduardo J. Izquierdo:
Adaptability and Neural Reuse in Minimally Cognitive Agents. CogSci 2017 - [c14]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: 29-35 - [c13]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. ICANN (1) 2017: 236-244 - [i4]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks. CoRR abs/1704.04199 (2017) - [i3]Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. CoRR abs/1706.01831 (2017) - [i2]Nathaniel Rodriguez, Eduardo Izquierdo, Yong-Yeol Ahn:
Optimal modularity and memory capacity of neural networks. CoRR abs/1706.06511 (2017) - 2016
- [c12]Eduardo J. Izquierdo, Matthew Setzler:
Evolvability of Minimally Cognitive Agents. ALIFE 2016: 284-285 - [c11]Randall D. Beer, Eduardo J. Izquierdo:
Propagation of rhythmic dorsoventral wave in a neuromechanical model of locomotion in Caernohabditis elegans. ALIFE 2016: 544-545 - [c10]Peng Chen, Tom Evans, Michael Frisby, Eduardo Izquierdo, Beth Plale:
A hybrid approach to population construction for agricultural agent-based simulation. eScience 2016: 313-322 - [e1]Tom Froese, Jesús Mario Siqueiros-García, Wendy Aguilar, Eduardo J. Izquierdo, Hiroki Sayama, Carlos Gershenson:
Fifteenth International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2016, Cancun, Mexico, July 4-6, 2016. MIT Press 2016 [contents] - 2015
- [c9]Eduardo J. Izquierdo, Randall D. Beer:
An Integrated Neuromechanical Model of Steering in C. elegans. ECAL 2015: 199-206 - [i1]Eduardo J. Izquierdo, Paul L. Williams, Randall D. Beer:
Information flow through a model of the C. elegans klinotaxis circuit. CoRR abs/1502.04262 (2015) - 2013
- [j3]Eduardo J. Izquierdo, Randall D. Beer:
Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis. PLoS Comput. Biol. 9(2) (2013) - [c8]Eduardo J. Izquierdo, Miguel Aguilera, Randall D. Beer:
Analysis of Ultrastability in Small Dynamical Recurrent Neural Networks. ECAL 2013: 51-58
2000 – 2009
- 2008
- [j2]Eduardo Izquierdo, Inman Harvey, Randall D. Beer:
Associative Learning on a Continuum in Evolved Dynamical Neural Networks. Adapt. Behav. 16(6): 361-384 (2008) - [c7]Eduardo Izquierdo, Thomas Bührmann:
Analysis of a Dynamical Recurrent Neural Network Evolved for Two Qualitatively Different Tasks: Walking and Chemotaxis. ALIFE 2008: 257-264 - [c6]Eduardo Izquierdo, Chrisantha Fernando:
The Evolution of Evolvability in Gene Transcription Networks. ALIFE 2008: 265-273 - 2007
- [c5]Peter Fine, Ezequiel A. Di Paolo, Eduardo Izquierdo:
Adapting to Your Body. ECAL 2007: 203-212 - [c4]Eduardo Izquierdo, Inman Harvey:
The Dynamics of Associative Learning in an Evolved Situated Agent. ECAL 2007: 365-374 - [c3]Tom Froese, Nathaniel Virgo, Eduardo Izquierdo:
Autonomy: A Review and a Reappraisal. ECAL 2007: 455-464 - [c2]Eduardo Izquierdo-Torres, Inman Harvey:
Hebbian Learning using Fixed Weight Evolved Dynamical 'Neural' Networks. ALIFE 2007: 394-401 - 2006
- [j1]Fernando Almeida e Costa, Eduardo Izquierdo-Torres:
Special Issue on the Dynamical Systems Approach to Cognition. Adapt. Behav. 14(2): 101-103 (2006) - 2005
- [c1]Eduardo Izquierdo-Torres, Ezequiel A. Di Paolo:
Is an Embodied System Ever Purely Reactive? ECAL 2005: 252-261
Coauthor Index
aka: Madhavun Candadai
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last updated on 2024-08-29 20:58 CEST by the dblp team
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