Almost Gate

Published July 2018 M-Anation, slightly abbreviated

Any two sets of inputs, which exceed the threshold, will be treated the same by all neurons downstream. Think of that–different sensations will be treated as the same. This, in rudimentary terms, explains the automatic abstraction of input which leads to categorization and is used in associations.

It’s not to be overlooked that the Almost Gate is not restricted to sensory handling. Uniform cortical structure shows that the Almost Gate operates again and again as information and memories work their way up to executive functions in the prefrontal lobe.

Two Biological Properties

The first key to understanding the Almost Gate comes from the result of two basic biological properties of neuron.

  1. Each neuron has an electrical threshold. When the neural body receives electrical inputs, that when summed exceeds its threshold, the neuron sends a signal down its axon to all receiving neurons.
  2. The All-or-None principle. When the neuron fires, it always fires the same signal. There is no gradation of electrical signal. It’s a full signal or there is no signal.

Simplified Input

For simplicity, this discussion assumes all inputs have the same weighting across the synaptic gaps. That does not affect the existence of the phenomenon, only the specific values for which it occurs.

These two properties combine to imply that a neuron fires with the same output under different conditions. The neuron treats difference inputs as the same.  Consider a neuron which has 100 inputs (the typical cortical neuron has about 10 thousand connections).  With the cortical neuron electrical charge exceeds 85 mV, it fires. This can happen due to different inputs. In the example figure, 12 excitatory and 4 inhibitory inputs cause the neuron to signal downstream that it has been activated.

Neural threshold exceeded example

Neural threshold exceeded example

As you can well imagine, these particular 12 excitatory and 4 inhibitory inputs are not the only combinations of inputs that cause the neuron’s threshold to be exceeded. Since actual neurons have 10 thousand interconnections, 7 thousand excitatory and 3 thousand inhibitory, there are a vast multitude of combinations which can cause the neuron to fire.

However with Hebb’s Law (neurons that fire together will fire together more easily in the future) in conjunction with a gross stability in our environment, inputs cluster in their firing.

And of the input sets than exceed the 85 mV neural threshold, small changes between the input sets are not passed to downstream neurons, but all present the same effect downstream.

Almost Gate

In this way, the neuron’s threshold and its all-or-none signaling results in almost matches being treated equally downstream in the brain. The Almost Gate lets many inputs over its barrier. Henceforth they are treated the same.

Hebb’s Law

The Almost Gate truncates (abstracts) information, but it requires more that one neuron to put the information into patterns. That requires an assembly of neurons and Hebb’s Law. Hebb’s Law (neurons that fire together will fire together more easily in the future) in conjunction with a basic stability in our environment, clusters inputs to trigger the same neurons in the future.

Pattern Formation Described

Patterns. Named and Unnamed


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