Neurophysicists to everyone: “There is an optimal brain frequency”
We may be familiar with the concept of electrical/chemical signals relating to neural communication. So, now imagine of every synapse branching out from every neuron - like an antenna, is tuned to a different frequency signal with a specific optimal point and this optimum frequency point depends on the location of the synapse on a neuron. The farther away the synapse is from the neuron’s cell body, the higher the optimum frequency was found to be.  And it seems the more rhythmicly synced the frequencies were - the stronger the connection for memory and learning synapses.

 The researchers found that not only does each synapse have a preferred frequency for achieving optimal learning, but for the best effect, the frequency needs to be perfectly rhythmic — timed at exact intervals. Even at the optimal frequency, if the rhythm was thrown off, synaptic learning was substantially diminished.

 

Their research also showed that once a synapse learns, its optimal frequency changes. In other words, if the optimal frequency for a naïve synapse — one that has not learned anything yet — was, say, 30 spikes per second, after learning, that very same synapse would learn optimally at a lower frequency, say 24 spikes per second. Thus, learning itself changes the optimal frequency for a synapse.

As well as possibly strengthening and enhancing learning and memory, learning-induced re-tuning and de-tuning could be have “important implications for treating disorders related to forgetting, such as PTSD disorder”.  via

Life is just a frequency…

The image shows a neuron with a tree trunk-like dendrite. Each triangular shape touching the dendrite represents a synapse, where inputs from other neurons, called spikes, arrive (the squiggly shapes). Synapses that are further away on the dendritic tree from the cell body require a higher spike frequency (spikes that come closer together in time) and spikes that arrive with perfect timing to generate maximal learning. VIA

image

Neurophysicists to everyone: “There is an optimal brain frequency”

We may be familiar with the concept of electrical/chemical signals relating to neural communication. So, now imagine of every synapse branching out from every neuron - like an antenna, is tuned to a different frequency signal with a specific optimal point and this optimum frequency point depends on the location of the synapse on a neuron. The farther away the synapse is from the neuron’s cell body, the higher the optimum frequency was found to be.  And it seems the more rhythmicly synced the frequencies were - the stronger the connection for memory and learning synapses.

 The researchers found that not only does each synapse have a preferred frequency for achieving optimal learning, but for the best effect, the frequency needs to be perfectly rhythmic — timed at exact intervals. Even at the optimal frequency, if the rhythm was thrown off, synaptic learning was substantially diminished.

Their research also showed that once a synapse learns, its optimal frequency changes. In other words, if the optimal frequency for a naïve synapse — one that has not learned anything yet — was, say, 30 spikes per second, after learning, that very same synapse would learn optimally at a lower frequency, say 24 spikes per second. Thus, learning itself changes the optimal frequency for a synapse.

As well as possibly strengthening and enhancing learning and memory, learning-induced re-tuning and de-tuning could be have “important implications for treating disorders related to forgetting, such as PTSD disorder”.  via

Life is just a frequency…

The image shows a neuron with a tree trunk-like dendrite. Each triangular shape touching the dendrite represents a synapse, where inputs from other neurons, called spikes, arrive (the squiggly shapes). Synapses that are further away on the dendritic tree from the cell body require a higher spike frequency (spikes that come closer together in time) and spikes that arrive with perfect timing to generate maximal learning. VIA

image

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