Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between
neurons, is considered a key ingredient underlying learning and memory in the brain …

We review a body of theoretical and experimental research on Hebbian and homeostatic
plasticity, starting from a puzzling observation: while homeostasis of synapses found in …

Real-time learning needs algorithms operating in a fast speed comparable to human or
animal, however this is a huge challenge in processing visual inputs. Research shows a …

Space is represented in the mammalian brain by the activity of hippocampal place cells, as
well as in their spike-timing correlations. Here, we propose a theory for how this temporal …

This report provides a wide-angle survey on computational paradigms which have a
possible bearing on the development of unconventional computational substrates and …

Pulse coupled neural network (PCNN) is the third-generation model of artificial networks,
which is based on the construction of the cat visual principle. When processing the image, it …

For most animal species, reliable and fast visual pattern recognition is vital for their survival.
Ventral stream, a primary pathway within visual cortex, plays an important role in object …

This thesis focuses on the development of new batch/online learning algorithms for evolving
spiking neural networks that can be used for pattern classification problems. The input and …