748 search results - page 17 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
NECO
2010
13 years 5 months ago
2010
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
ISCAS
2003
IEEE
14 years 9 hour ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
IWANN
1997
Springer
13 years 11 months ago
1997
Springer
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
KES
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
ISCAS
2011
IEEE
12 years 10 months ago
2011
IEEE
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...