RT Conference Proceedings
T1 Spatial memory based on an STDP driven neural network
A1 Zharinov, Alexey
A1 Makarov Slizneva, Valeriy
A1 Kazntsev, Victor B.
A1 Lobov, Sergei
AB We propose a model of spatial memory implemented in a Spiking Neural Network (SNN) and test it on a robot moving in an environment with neutral and harmful regions. Neurons in the SNN play the role of place cells, and their population dynamics determines the robot movements. We show that STDP rearranges the couplings in the SNN and forms spatial memory similar to cognitive maps associated with the negative experience. Then, the robot learns to avoid harmful zones.
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/8947
UL https://hdl.handle.net/20.500.14352/8947
LA eng
DS Docta Complutense
RD 17 abr 2025