Evolutionary Developmental Neurocomputing (EvoDevoNeuro)

Computational Modeling of Neural Organization in Evolution

• Major divergence in neural achitecture in evolution of primitive nervous systems
• Brain-body co-evolution and co-development
• Influence of proprioceptive feedback
• Energy constraints

Computational Modeling Neural Development and Neural Plasticity

• Cell division, migration and differentiation
• Axon growth, dendrite outgrowth and synapse maturation
• Synaptic plasticity, intrinsic plasticity and homeostatic plasticity
• Metaplasticity
• Structural plasticity

Developmental Approach to Reservoir Computing

• Modeling structural and synaptic plasticiy in reservoir computing
• Development under selection pressure
• Evolution of neural networks using generative encoding
• Semi-supervised and multi-objective learning in reservoir computing

Applications to Learning in Nonstationary and Uncertain Environments

• Learning of spatiotemporal patterns
• Learning in changing environments
• Learning imbalanced and high-dimensional data

References

1. Joseph Chrol-Cannon and Yaochu Jin. Learning structure of sensory inputs with synaptic plasticity leads to interference. Frontiers in Computational Neuroscience, 2015.doi: 10.3389/fncom.2015.00103
2. Joseph Chrol-Cannon and Yaochu Jin. Computational modeling of neural plasticity for self-organization of neural networks. BioSystems, 125:43-54, 2014 Also here
3. Joseph Chrol-Cannon and Yaochu Jin. On the correlation between reservoir metrics and performance for time series classification under the influence of synaptic plasticity. PLOS ONE, DOI: 10.1371/journal.pone.0101792, July 10, 2014.
4. Daniel Bush and Yaochu Jin. Calcium control of hippocampal STDP. Journal of Computational Neuroscience. 33(3):495-514, 2012
5. Joseph Chrol-Cannon, Andre Gruning and Yaochu Jin. The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 2012
6. Joseph Chrol-Cannon, Andre Gruning and Yaochu Jin. The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities. 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 2012
7. Jun Yin, Yan Meng and Yaochu Jin. A Developmental Approach to Structural Self-Organization in Reservoir Computing. IEEE Transactions on Autonomous Mental Development, 2011 (accepted)
8. Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter. Evolving neural fields for problems with large input and output spaces. Neural Networks, 28:24-39, 2012
9. Yan Meng, Yaochu Jin and Jun Yin. Modeling activity-dependent plasticity in BCM spiking neural networks with application to human behavior recognition. IEEE Transactions on Neural Networks, 22(12):1952-1966, 2011
10. Daniel Bush, Yaochu Jin. A unified computational model of the genetic regulatory networks underlying synaptic, intrinsic and homeostatic plasticity. BMC Neuroscience, 12(Suppl 1):P161, 2011
11. Daniel Bush and Yaochu Jin. A unified computational model of the genetic regulatory networks underlying synaptic, intrinsic and homeostatic plasticity. 2011 International Conference on Wiring the Brain: Making Connections, April 12-15, 2011, County Wicklow, Ireland (oral presentation)
12. Yuyang Zhang, Yan Meng, Yaochu Jin. Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways. Neurocomputing, 74(17): 3158-3169, 2011
13. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. Emerged optimal distribution of computational workload in the evolution of an undulatory animat. The 11th International Conference on Simulation of Adaptive Behaviors (SAB 2010), August 24-28, 2010
14. Yan Meng, Yaochu Jin, Jun Yin, and Matthew Conforth. Human activity detection using spiking neural networks regulated by a gene regulatory network. International Joint Conference on Neural Networks (IJCNN), pp.2232-2237, Barcelona, July 2010
15. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. The effect of proprioceptive feedback on the distribution of sensory information in a model of an undulating organism. 10th European Conference on Artificial Life, Budapest, September 2009
16. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. The evolutionary emergence of neural organization in a hydra-like animat. Frontiers in Computational Neuroscience, Conference Abstract:Bernstein Conference on Computational Neuroscience, doi: 10.3389/conf.neuro.10.2009.14.057, 2009
17. Yaochu Jin, Lisa Schramm, and Bernhard Sendhoff. A gene regulatory model for the development of primitive nervous systems. INNS-NNN Symposia on Modeling the Brain and Nervous Systems, November 2008, Auckland, New Zealand, LNCS 5506, pp.48-55, 2009
18. Lisa Schramm, Yaochu Jin, Bernhard Sendhoff. Emerged coupling of motor control and morphological development in evolution of multi-cellular animates. 10th European Conference on Artificial Life, Budapest, September 2009
19. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. Evolving functional symmetry in a three dimensional model of an elongated organism. Artificial Life XI, pp.305-312, 2008
20. Yaochu Jin, Ruojing Wen, and Bernhard Sendhoff. Evolutionary multi-objective optimization of spiking neural networks. International Conference on Neural Networks, LNCS 4668, 1:370--379, 2007

Copyright©2011-2012. Last update in March, 2012 by Yaochu Jin. All rights reserved. The views expressed on this home page are personal and do NOT necessarily reflect the views of his employer.