Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model. However, neural networks are complex, sometimes don't work well ...

The neural basis of cognition has been primarily investigated in terms of task-evoked activation level changes. Over the past decade a separate focus on spontaneous (non-task-evoked) activity has ...

During training, the neural network adjusts the weights of the synapses so that an input produces the desired output. Here, in more detail, is how the process works: The first layer of neurons ...

Neurons in the human brain form an astonishing number of connections; it's thought that there are anywhere from tens of billions to trillions of links. Scientists that are seeking to understand those ...

Then, each person's EEG readings for team, solo, and non-flow state were mapped onto a multidimensional space. The team found that the closer two participants' readings were in this space, the ...