18 results on '"Blake A. Richards"'
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2. Synaptic Weight Distributions Depend on the Geometry of Plasticity.
3. Towards Scaling Difference Target Propagation by Learning Backprop Targets.
4. A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions.
5. How gradient estimator variance and bias impact learning in neural networks.
6. Learning better with Dale's Law: A Spectral Perspective.
7. Formalizing locality for normative synaptic plasticity models.
8. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL.
9. A Unified, Scalable Framework for Neural Population Decoding.
10. Adversarial Feature Desensitization.
11. The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.
12. Your head is there to move you around: Goal-driven models of the primate dorsal pathway.
13. PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks.
14. Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.
15. $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.
16. Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units.
17. Spike-based causal inference for weight alignment.
18. Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.
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