6 citations · 8 across the 4 of their papers we have counts for
4 papers
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation
M Ganesh Kumar, Cheston Tan, Camilo Libedinsky +2
Navigation to multiple cued reward locations has been increasingly used to study rodent learning. Though deep reinforcement learning agents have been shown to be able to learn the…
One-shot learning of paired association navigation with biologically plausible schemas
M Ganesh Kumar, Cheston Tan, Camilo Libedinsky +2
After learning a multiple paired-association (MPA) navigation task, rodents can rapidly learn new cue-location associations after a single exposure, a phenomenon proposed to be fac…
Experimental Comparison of Hardware-Amenable Spike Detection Algorithms for iBMIs
Shoeb Shaikh, Rosa So, Camilo Libedinsky +1
This paper presents an experiment based comparison of absolute threshold (AT) and non-linear energy operator (NEO) spike detection algorithms in Intra-cortical Brain Machine Interf…
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip
Shoeb Shaikh, Rosa So, Tafadzwa Sibindi +2
This paper presents for the first time a real-time closed loop neuromorphic decoder chip-driven intra-cortical brain machine interface (iBMI) in a non-human primate (NHP) based exp…