Backpropagation-free spiking neural networks with the forward-forward algorithm. [PDF]
Ghader M +3 more
europepmc +1 more source
'Backpropagation and the brain' realized in cortical error neuron microcircuits. [PDF]
Max K +4 more
europepmc +1 more source
Cellular and subcellular specialization enables biology-constrained deep learning. [PDF]
Galloni AR +3 more
europepmc +1 more source
The Reward Positivity Tracks Positive Reward Prediction Errors From Feedback to Cues During Reinforcement Learning. [PDF]
Gao Y, Wilson R, Karpov G, Baker TE.
europepmc +1 more source
Closed-form feedback-free learning with forward projection. [PDF]
O'Shea R, Rajendran B.
europepmc +1 more source
Developing an Integrated Toolbox for Raman Spectral Analysis with Both Artificial Neural Networks and Machine Learning Algorithms. [PDF]
Kong X +6 more
europepmc +1 more source
Adaptive and lightweight surrogate gradients: enhancing training efficiency of spiking neural networks. [PDF]
Hou K, Wu K, Zhou Y.
europepmc +1 more source
Constructing biologically constrained RNNs via Dale's backpropagation and topologically informed pruning. [PDF]
Balwani A, Wang AQ, Najafi F, Choi H.
europepmc +1 more source
Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. [PDF]
Kumru E +5 more
europepmc +1 more source
Fully Differentiable dMRI Streamline Propagation in PyTorch. [PDF]
Yoon J +6 more
europepmc +1 more source

