Neuromodulated Dopamine Plastic Networks for Heterogeneous Transfer Learning with Hebbian Principle
The plastic modifications in synaptic connectivity is primarily from changes triggered by neuromodulated dopamine signals. These activities are controlled by neuromodulation, which is itself under the control of the brain. The subjective brain’s self-modifying abilities play an essential role in lea...
Main Authors: | Arjun Magotra, Juntae Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/13/8/1344 |
Similar Items
-
Improvement of Heterogeneous Transfer Learning Efficiency by Using Hebbian Learning Principle
by: Arjun Magotra, et al.
Published: (2020-08-01) -
Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation
by: Zuzanna Brzosko, et al.
Published: (2017-07-01) -
Deep Learning With Asymmetric Connections and Hebbian Updates
by: Yali Amit
Published: (2019-04-01) -
Timing is not everything: neuromodulation opens the STDP gate
by: Verena Pawlak, et al.
Published: (2010-10-01) -
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
by: Samuel Schmidgall, et al.
Published: (2021-09-01)