Abstract
A simplified primary cortex model is developed that can be used in pattern recognition. There are 1024 excitatory, 256 inhibitory cells. Integrate and Fire neuron model is chosen in the simulations. Each cell in the model may have three type of sources for input; sensory, connection and a constant background. Spike Timing Dependent Plasticity (STDP) is incorporated to change connection coefficient of two connected cells.
Keywords
Visual cortex
Spike (software development)
Computer science
Excitatory postsynaptic potential
Inhibitory postsynaptic potential
Connection (principal bundle)
Biological neuron model
Neuroscience
Pattern recognition (psychology)
Sensory system
Cortex (anatomy)
Constant (computer programming)
Artificial intelligence
Artificial neural network
Mathematics
Psychology
Subject Areas
Neural dynamics and brain function
·Cognitive Neuroscience ·Life Sciences
Advanced Memory and Neural Computing
·Electrical and Electronic Engineering ·Physical Sciences
CCD and CMOS Imaging Sensors
·Electrical and Electronic Engineering ·Physical Sciences
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