This depolarization, called retrograde inhibition, makes it more difficult for the subsequent neural impulse to stimulate that neuron until it's at least partially repolarized.
In this paper, the synchronization problem has been investigated for nonidentical chaotic neural networks with discrete and distributed time-varying delays as well as leakage delay, which is more difficult and challenging than the ones for identical chaotic neural networks and nonidentical chaotic neural networks with constant delay but without leakage delay.
Two computer scientists have leveled the playing field by asking a computer program called a neural network to do something much more difficult than beat a defenseless human at checkers.
However, both these brain activation and lesion impairments could arise simply because maintaining multiple items in memory is more difficult rather than due to a true difference in neural mechanisms responsible for remembering single versus multiple items in memory.
However, imaging neural activity in the spinal cord is more difficult than in the brain.
In their review, Hayes and Kraemer (2017) draw on theories of neural processing, including Hebbian learning and predictive coding, to propose that sensorimotor contingencies are mapped more directly onto neural targets, while abstractions are more flexible but more difficult to acquire and more fragile.
The reason might lie in the fact that under a high sea state circumstance, the increased degree of freedom and fluctuation in sea clutter makes it more difficult to approximate the de-AM signal with a structure fixed neural network.
While a direct comparison between cortical and spinal cord derived neural progenitor cells within the same experiment would be interesting, from a practical point of view human neural progenitor cells derived from the spinal cord are more difficult to expand than those from the cortex [51] and may therefore be less useful for future clinical studies.
The point is that all these things compete for neural resources in your brain, cluttering your thoughts, making it more difficult to devote attention to what is at hand.
This could be caused by malfunctioning synapses, which would make neural networks less reliable and would make signals from the world more difficult to interpret, Dinstein speculates.
