Sensory neuronSensory neurons, also known as afferent neurons, are neurons in the nervous system, that convert a specific type of stimulus, via their receptors, into action potentials or graded receptor potentials. This process is called sensory transduction. The cell bodies of the sensory neurons are located in the dorsal ganglia of the spinal cord. The sensory information travels on the afferent nerve fibers in a sensory nerve, to the brain via the spinal cord.
Biological neuron modelBiological neuron models, also known as a spiking neuron models, are mathematical descriptions of the properties of certain cells in the nervous system that generate sharp electrical potentials across their cell membrane, roughly one millisecond in duration, called action potentials or spikes (Fig. 2). Since spikes are transmitted along the axon and synapses from the sending neuron to many other neurons, spiking neurons are considered to be a major information processing unit of the nervous system.
Psychological projectionPsychological projection is a defence mechanism of alterity concerning "inside" content mistaken to be coming from the "outside" Other. It forms the basis of empathy by the projection of personal experiences to understand someone else's subjective world. In its malignant forms, it is a defense mechanism in which the ego defends itself against disowned and highly negative parts of the self by denying their existence in themselves and attributing them to others, breeding misunderstanding and causing untold interpersonal damage.
Id, ego and super-egoIn psychoanalytic theory, the id, ego and super-ego are three distinct, interacting agents in the psychic apparatus, defined in Sigmund Freud's structural model of the psyche. The three agents are theoretical constructs that Freud employed to describe the basic structure of mental life as it was encountered in psychoanalytic practice. Freud himself used the German terms das Es, Ich, and Über-Ich, which literally translate as "the it", "I", and "over-I". The Latin terms id, ego and super-ego were chosen by his original translators and have remained in use.
Neural gasNeural gas is an artificial neural network, inspired by the self-organizing map and introduced in 1991 by Thomas Martinetz and Klaus Schulten. The neural gas is a simple algorithm for finding optimal data representations based on feature vectors. The algorithm was coined "neural gas" because of the dynamics of the feature vectors during the adaptation process, which distribute themselves like a gas within the data space. It is applied where data compression or vector quantization is an issue, for example speech recognition, or pattern recognition.
