NeuronConnectionsResearch
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Neural Connections Research
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What are connections
- connection is made between two neurons
- connection is uni-directional
- source of connection is always axon branch of first neuron
- target of connection can be dendrite, soma or initial axon segment of second neuron
- axon-axon connections are usually ignored in neural network models
- axon-dendrite connection elements are:
- neuron1 soma
- neuron1 initial axon segment
- neuron1 axon trunk (myelinated)
- neuron1 axon branchX
- neuron1 axon branchX terminal
- inter-neuron space (synaptic cleft)
- receptors of post-synaptic cell membrane on spine of neuron2 dendrite
- neuron2 dendrite trunk
- neuron2 soma
- there are two types of synapses, electrical and chemical
- electrical synapse - protein junction forms hole between axon terminal and post-synaptic neuron membranes, allowing the electrical signal to pass directly from one cell to another;
- electrical synapse is much faster than chemical synapse, but unlike chemical synapse, cannot be regulated or controlled
- chemical synapses may be regulated and are affected by methamphetamine, signals always travel from presynaptic membrane, through synaptic cleft, and to postsynaptic membrane
Connection dynamics
- connection can be stronger or weaker, thus having connectivity factor (see Jeff Hawkins)
- above certain connectivity factor threshold connection allows signal propagation, when presynaptic signal (action potential) produces post-synaptic signal
- below threshold connection still exists, because activity in both neurons affects connectivity factor
- connectivity factor differs from connection weight of classical neural networks, as weight always produces output which depends on weight value; connectivity factor is continuous, but its effect is binary
When connection is enforced
Options under consideration:
- when signal propagates through connection
- when action potential encounters fire state (Hebb's learning), e.g.:
- just after firing there is negative potential in all dendrites
- which electically attracts axon terminal having positive action potential
- while firing is impossible (refractory period) and action potential energy is spent for increasing connectivity factor
- using interneurons and non-neuron interneuron matter (glia)
- using complex structures as controllers (bump attractors and so on)