Overcoming Catastrophic Interference in Connectionist Networks Using Gram-Schmidt Orthogonalization

Open Access

Peer-reviewed

Research Article

Vipin Srivastava ,

* E-mail: vipinsri02@gmail.com

Affiliations School of Physics, University of Hyderabad, Hyderabad, India, Centre for Neural and Cognitive Sciences, University of Hyderabad, Hyderabad, India
⨯
Suchitra Sampath,

Affiliation Centre for Neural and Cognitive Sciences, University of Hyderabad, Hyderabad, India
⨯
David J. Parker

Affiliation Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom
⨯

Reader Comments (0)

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

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

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

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

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

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

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

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

Thanks for your feedback.