How does information get recorded on the brain ??

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  • 1 decade ago
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    Recognition Memory (RM)

    Recognition memory is really the perceptual network itself. It consists of the sensory, separation and coincidence layers. It remembers or recognizes learned event patterns whenever its sensors are presented with those patterns. The output of recognition memory is divided into identical parallel pathways that feed directly into short and long-term memory.

    Short-Term Memory (STM)

    Short-term memory receives afferent master signals from recognition memory and recurrent master signals from long-term memory. It sends its outputs to long-term memory as slave connections. Every STM neuron can make as many slave connections as possible with neurons in long-term memory. As its name implies, STM retains events for a short period after their arrival. This means that STM neurons repeatedly fire for a short time after been triggered. The sustained firing is part of the mechanism that allows the memory system to create event associations over multiple-time scales.

    STM is divided into two modules, one for past events (PE) and one for future or anticipated events (FE). A module is essentially a two-dimensional sheet of neurons. For every neuron that reaches maturity in the coincidence layer there is a corresponding target neuron in each of the STM modules. The function of the two modules can only be understood in conjunction with their integration with long-term memory.

    Long-Term Memory (LTM)

    Long-term memory is where the system's causal knowledge and most of its intelligence reside. This is where temporal correlations over multiple time scales are discovered. Its operation is tightly integrated with short-term memory. As with STM, LTM is divided into two complementary modules called reactive memory and anticipatory memory. For every neuron that reaches maturity in the coincidence layer, there is at least one corresponding target neuron in each of the LTM modules. As it stands, a coincidence neuron can only sprout two axonal branches that synapse onto one LTM neuron and one STM neuron.

    Each LTM module forms a recurrent loop with its counterpart in STM. This is explained below. LTM neurons receive master connections from the coincidence layer and slave connections from STM. They send their outputs to motor areas and back to STM.

    http://pages.sbcglobal.net/louis.savain/AI/memory....

  • 1 decade ago

    neural traces and neuron branching.

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