- Cell-type-specific cortical feedback coordinates hierarchical credit assignment
2026/06/17 by Will Greedy, Heng Wei Zhu, Alexia Duriez +4 · 2 voices
Neuroscience · #Control (management) #Curse of dimensionality #Interneuron #Learning rule #Mechanism (biology) #Memory and Neural Mechanisms #Neural dynamics and brain function #Neuroplasticity #Neuroscience and Neuropharmacology Research #Perspective (graphical) #Synaptic plasticity
- Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks
2020/09/17 by Timo C. Wunderlich, Christian Pehle · 2 voices · 22 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Activation function #Advanced Memory and Neural Computing #Artificial neural network #Backpropagation #Ferroelectric and Negative Capacitance Devices #Learning rule #MNIST database #Neural Networks and Reservoir Computing #Spike (software development) #Spike train #Spiking neural network #cs.NE #q-bio.NC
- The basins of attraction of a new Hopfield learning rule
1999/07/01 by Amos Storkey, A.J. Storkey, R. Valabregue +1 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Algorithms and Applications #Artificial intelligence #Artificial neural network #Attraction #Blind Source Separation Techniques #Computer science #Geology #Learning rule #Locality #Mathematics #Neural Networks and Applications #Paleontology #Structural basin
- Phase transitions of an oscillator neural network with a standard Hebb learning rule
1998/08/12 by Toru Aonishi · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #Algorithm #Artificial intelligence #Artificial neural network #Asymmetry #Computer science #Coupling (piping) #Function (biology) #Hopfield network #Learning rule #Materials science #Neural Networks and Applications #Neural dynamics and brain function #Noise (video) #Nonlinear Dynamics and Pattern Formation #Phase (matter) #Phase transition #Physics #Quantum mechanics #SIGNAL (programming language) #Statistical physics #cond-mat.dis-nn #cond-mat.stat-mech
- Increasing the capacity of a hopfield network without sacrificing functionality
1997/01/01 by Amos Storkey · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Blind Source Separation Techniques #Computer science #Fractal and DNA sequence analysis #Generalization #Generalization error #Hebbian theory #Heuristic #Hopfield network #Inverse #Leabra #Learning rule #Mathematical optimization #Mathematics #Neural Networks and Applications #Process (computing) #Wake-sleep algorithm