1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NE2016★ 1 cited
About Learning in Recurrent Bistable Gradient Networks
J. Fischer, S. Lackner
Recurrent Bistable Gradient Networks are attractor based neural networks characterized by bistable dynamics of each single neuron. Coupled together using linear interaction determi…
cs.NE2016★ 1 cited
Reconstructing Neural Parameters and Synapses of arbitrary interconnected Neurons from their Simulated Spiking Activity
J. Fischer, P. Manoonpong, S. Lackner
To understand the behavior of a neural circuit it is a presupposition that we have a model of the dynamical system describing this circuit. This model is determined by several para…