A Developmental Approach to Predicting Neuronal Connectivity from Small Biological Datasets: A Gradient-Based Neuron Growth Model

Open Access

Peer-reviewed

Research Article

Roman Borisyuk ,

* E-mail: rborisyuk@plymouth.ac.uk

Affiliations School of Computing and Mathematics, Plymouth University, Plymouth, United Kingdom, Institute of Mathematical Problems in Biology of the Russian Academy of Sciences, Pushchino, Russia
⨯
Abul Kalam al Azad,

Current address: Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh

Affiliation School of Computing and Mathematics, Plymouth University, Plymouth, United Kingdom
⨯
Deborah Conte,

Affiliation School of Biological Sciences, University of Bristol, Bristol, United Kingdom
⨯
Alan Roberts,

Affiliation School of Biological Sciences, University of Bristol, Bristol, United Kingdom
⨯
Stephen R. Soffe

Affiliation School of Biological Sciences, University of Bristol, Bristol, United Kingdom
⨯

Reader Comments (0)

Axons
Is the Subject Area "Axons" applicable to this article?

Thanks for your feedback.
Neurons
Is the Subject Area "Neurons" applicable to this article?

Thanks for your feedback.
Tadpoles
Is the Subject Area "Tadpoles" applicable to this article?

Thanks for your feedback.
Neuronal dendrites
Is the Subject Area "Neuronal dendrites" applicable to this article?

Thanks for your feedback.
Chemoattractant axon guidance
Is the Subject Area "Chemoattractant axon guidance" applicable to this article?

Thanks for your feedback.
Spinal cord
Is the Subject Area "Spinal cord" applicable to this article?

Thanks for your feedback.
Optimization
Is the Subject Area "Optimization" applicable to this article?

Thanks for your feedback.
Random variables
Is the Subject Area "Random variables" applicable to this article?

Thanks for your feedback.