4 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
Naresh Ravichandran, Anders Lansner, Pawel Herman
Neural networks that can capture key principles underlying brain computation offer exciting new opportunities for developing artificial intelligence and brain-like computing algori…
Spiking representation learning for associative memories
Naresh Ravichandran, Anders Lansner, Pawel Herman
Networks of interconnected neurons communicating through spiking signals offer the bedrock of neural computations. Our brains spiking neural networks have the computational capacit…
Benchmarking Hebbian learning rules for associative memory
Anders Lansner, Naresh B Ravichandran, Pawel Herman
Associative memory or content addressable memory is an important component function in computer science and information processing and is a key concept in cognitive and computation…