Areas of computational neuroscience (Part II)

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Nowadays there are several ways in which computational neuroscience is forming our understanding of this aspect of science.

Single Neuron Modeling

This aspect involves how showing how neurons have and work with different ion concentrations and voltages

Neurons in the brain

Development, Axonal Patterning and Guidance

This includes the investigation of how synapses, axons and dendrites develop as well as how neurons come to be in the right position. 

Sensory processing

Getting the maximum quantity of information transmitted with as few neurons as possible for the sake of efficiency.

Memory and synaptic plasticity

When the system creates new memories neural connections become strengthened which is how humans learn.

Model of Neural Connections

Cognition, Discrimination and Learning

Our understanding of this area is less comprehensive. It deals with lower cognitive functions such as face recognition.


The ultimate goal of neuroscience is to be able to explain the every day experience of conscious life. This part is more philosophical, for example in asking what is the mind, consciousness and is it actually possible to model it.

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 Ingo Wey, September 2008