Enhance e-prop plasticity with biologically inspired features #3207
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Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
* make clear that no validation in first iteration
Co-authored-by: JesusEV <[email protected]>
Refactor nmnist tutorial
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
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* remove `regular_spike_arrival` flag and `P_z_in` since = 1
* do spike-threshold crossing reset at the beginning of the time step
… neuron Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
Co-authored-by: JesusEV <[email protected]>
clinssen
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Dec 12, 2024
| van Albada SJ, Bolten M, Diesmann M. Event-based implementation of | ||
| eligibility propagation (in preparation) | ||
| .. [3] Korcsak-Gorzo A, Stapmanns J, Espinoza Valverde JA, Plesser HE, | ||
| Dahmen D, Bolten M, Van Albada SJ*, Diesmann M*. Event-based |
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| Dahmen D, Bolten M, Van Albada SJ*, Diesmann M*. Event-based | |
| Dahmen D, Bolten M, Van Albada SJ, Diesmann M. Event-based |
clinssen
reviewed
Dec 12, 2024
| .. [3] Korcsak-Gorzo A, Stapmanns J, Espinoza Valverde JA, Dahmen D, van Albada SJ, Bolten M, Diesmann M. | ||
| Event-based implementation of eligibility propagation (in preparation) | ||
| .. [3] Korcsak-Gorzo A, Stapmanns J, Espinoza Valverde JA, Plesser HE, | ||
| Dahmen D, Bolten M, Van Albada SJ*, Diesmann M*. Event-based |
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| Dahmen D, Bolten M, Van Albada SJ*, Diesmann M*. Event-based | |
| Dahmen D, Bolten M, Van Albada SJ, Diesmann M. Event-based |
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This PR extends the previous efforts (PR #2867 "Implement e-prop plasticity") in porting the eligibility propagation (e-prop) plasticity mechanism by Bellec et al. (2020) from TensorFlow to NEST by introducing several novel, bio-inspired enhancements to e-prop.
Changes
_bsshslm_2020, aligning with NEST's naming convention that reflects the first letters of the authors' last names and the publication year.eprop_iafeprop_iaf_psc_deltaeprop_iaf_adapteprop_readouteprop_synapseeprop_learning_signal_connectioneprop_archiving_nodewith added support for new models.test_eprop_plasticity.pyeprop_supervised_regression_sine-waves.pyeprop_supervised_classification_neuromorphic_mnist.pyeprop_supervised_classification_evidence-accumulation.pyA manuscript by Korcsak-Gorzo, Stapmanns, and Espinoza Valverde et al. detailing these enhancements is in preparation.
References
Bellec G, Scherr F, Subramoney F, Hajek E, Salaj D, Legenstein R, Maass W (2020). A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications, 11:3625. DOI
Korcsak-Gorzo A, Stapmanns J, Espinoza Valverde JA, Dahmen D, van Albada SJ, Plesser HE, Bolten M, Diesmann M. Event-based implementation of eligibility propagation. (in preparation)
Co-authored-by: Agnes Korcsak-Gorzo [email protected]