Author response: Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks
Vishwa Goudar, Dean V. Buonomano · 2018
A recurrent network model trained to transcribe temporally scaled spoken digits into handwritten digits proposes that the brain flexibly encodes time-varying stimuli as neural trajectories that can be traversed at different speeds.