Brainloop
 
9. Intro - Information processing in living organisms
  9.1. Biological Neural Systems

One of the most important parts of a neuron is its membrane, which separates the interior and the exterior of a neuron spatially and electrically.
A prominent feature of the cell membrane is, that it maintains a voltage difference between the interior and the exterior.
This so called membrane potential is subject to change if a neuron receives some input via its synapses from other neurons.

There are two basic types of input:

  1) excitatory input increases the membrane potential
   
  2) inhibitory input decreases the membrane potential.

If enough excitatory input accumulates the membrane potential at the axon hillock eventually reaches a threshold. If this event occurs the membrane follows a stereotyped trajectory, the so called action potential or spike. This spike travels along the axon to all its terminals which connects the axon to other neurons (postsynaptic neurons) via synapses.
A complicated chemical process transforms the spike into a change of the membrane potential of the postsynaptic neuron, the so called postsynaptic potential (PSP) which comprise the above mentioned input of the next neuron.

 
Picture: Drawing of the canonical shape of a postsynaptic potential and the action potential. Excitatory synapses produce an EPSP whereas inhibitory synapses produce an IPSP.

 
9. Intro - Information processing in living organisms
  9.1. Biological Neural Systems
  9.1.2. The First Generation of Models
9.1.3. The Second Generation
9.1.4. The Third Generation
  9.1.4.1. Temporal Coding
9.1.4.2. Computational Power
9.1.4.3. Hypothesis for Biological Neural Systems
9.1.4.4.. Learning
 

Source: Networks of Spiking Neurons: A New Generation of Neural Network Models, Thomas Natschläger, December 1998
 
 
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