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A neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated. [1] Multiple neural circuits interconnect with one another to form large scale brain networks. [2] Neural circuits have inspired the design of artificial neural networks, though there are significant differences.
In psychology, parallel processing is the ability of the brain to simultaneously process incoming stimuli of differing quality. [1] Parallel processing is associated with the visual system in that the brain divides what it sees into four components: color, motion, shape, and depth. These are individually analyzed and then compared to stored ...
A linear circuit is an electronic circuit which obeys the superposition principle. This means that the output of the circuit F (x) when a linear combination of signals ax1(t) + bx2(t) is applied to it is equal to the linear combination of the outputs due to the signals x1(t) and x2(t) applied separately: It is called a linear circuit because ...
The Papez circuit involves various structures of the brain. It begins and ends with the hippocampus (or the hippocampal formation). Fiber dissection indicates that the average size of the circuit is 350 millimeters. The Papez circuit goes through the following neural pathways: Hippocampal formation (subiculum) → fornix → mammillary bodies ...
Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural ...
For Schramm, communication is about sharing information or having a common attitude towards signs. His model is based on three basic components: a source, a destination, and a message. The process starts with an idea in the mind of the source. This idea is then encoded into a message using signs and sent to the destination.
Neural network. A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network.
Psychology. Affective neuroscience is the study of how the brain processes emotions. This field combines neuroscience with the psychological study of personality, emotion, and mood. [1] The basis of emotions and what emotions are remains an issue of debate within the field of affective neuroscience. [2]