Neural Cells as Harmony Detectors :: Neurology Brain Essays

Neural Cells as Harmony Detectors The issues of harmony have notably mild profile in the current AI research. Meanwhile, when it comes to brain computer architecture, harmony plays the cardinal role. As we hope to demonstrate in this essay, neural cells act in general as local harmony detectors. On a less local scale, the consensus is that perceptions correspond to certain stable periodic patterns of neuron firing. A harmony-based architecture would probably be more successful than current AI paradigms.It would sustain here to recall the basics of neuron firing theory. In the pillow state neuron membrane typically has electrochemical polarization emfity of 70 millivolts. When the firing impulse comes to the neuron from another neuron via the check synapse (the site of their connection), this polarization potential changes, typically by 1-2 millivolts or less. If the polarization potential decreases beyond the threshold of approximately 60 or 55 millivolts, the neuron exculpates, otherwise the polarization potential tends to rapidly relax to the pilot film rest level of 70 millivolts.Hence, when the reception of an impulse via a synapse decreases the membrane polarization potential of the receiving neuron, we call this synaptic connection stimulative, because the decrease of the polarization potential makes it easier to fire for our neuron. Otherwise, the synaptic connection is called inhibitory. Because the reception of an impulse changes the polarization potential by at to the highest degree 2 millivolts and because the polarization potential tends to rapidly relax back to 70 millivolts, the neuron can fire only if it receives several (from 4 to more than a dozen) impulses via excitatory connections simultaneously or in a very quick succession.Hence the neuron plant life as a detector of several excitatory impulses glide slope almost simultaneously. So we can say that the neuron detects the harmony between its incoming impulses.Now we shal l turn to learning mechanisms in the brain, and observe that the local learning (on the level of one neuron) is directed towards detecting this harmony level(p) better. As we have noted, the reception of an impulse changes the polarization potential normally by 2 millivolts or less. The actual value of this change is usually called synaptic authority. This value is not constant, but changes with time. This ability of synaptic strength to change is the key mechanism of neural learning and is called synaptic plasticity.The most typical rule of synaptic plasticity for excitatory connection works approximately as follows. If a neuron fires shortly after receiving an excitatory impulse (i.