528 citations · 528 across the 2 of their papers we have counts for
2 papers
q-bio.NC2019
Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks
Cecilia Jarne, Rodrigo Laje
Recurrent Neural Networks (RNNs) are frequently used to model aspects of brain function and structure. In this work, we trained small fully-connected RNNs to perform temporal and f…
nlin.CD2012★ 528 cited
Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control
Rodrigo Laje, Dean V. Buonomano
It is widely accepted that the complex dynamics characteristic of recurrent neural circuits contributes in a fundamental manner to brain function. Progress has been slow in underst…