Table of Contents
93 relations: Action potential, All-or-none law, Amplitude, Analog signal, Associative memory (psychology), Auditory system, Autoencoder, Basis (linear algebra), Binding problem, Biological neuron model, Brain, Cerebral cortex, Channelrhodopsin, Chemical synapse, Cognitive map, Copula (probability theory), Deep learning, Depression (mood), Digital data, Drosophila, Edgar Adrian, Electrophysiology, Feature integration theory, Fraction, Frequency, GABAergic, Graded potential, Grandmother cell, Grid cell, High-frequency oscillations, Hippocampus, Kenyon cell, Light, Linear combination, Local field potential, Matching pursuit, Maximum entropy probability distribution, Maximum likelihood estimation, Mitral cell, Models of neural computation, Moment (mathematics), Muscle, Mushroom bodies, Mutual information, Neural coding, Neural correlates of consciousness, Neural decoding, Neural network, Neural network (biology), Neural network (machine learning), ... Expand index (43 more) »
- Neural circuitry
Action potential
An action potential occurs when the membrane potential of a specific cell rapidly rises and falls. Neural coding and action potential are Computational neuroscience.
See Neural coding and Action potential
All-or-none law
In physiology, the all-or-none law (sometimes the all-or-none principle or all-or-nothing law) is the principle that if a single nerve fibre is stimulated, it will always give a maximal response and produce an electrical impulse of a single amplitude.
See Neural coding and All-or-none law
Amplitude
The amplitude of a periodic variable is a measure of its change in a single period (such as time or spatial period).
See Neural coding and Amplitude
Analog signal
An analog signal is any continuous-time signal representing some other quantity, i.e., analogous to another quantity.
See Neural coding and Analog signal
Associative memory (psychology)
In psychology, associative memory is defined as the ability to learn and remember the relationship between unrelated items.
See Neural coding and Associative memory (psychology)
Auditory system
The auditory system is the sensory system for the sense of hearing.
See Neural coding and Auditory system
Autoencoder
An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).
See Neural coding and Autoencoder
Basis (linear algebra)
In mathematics, a set of vectors in a vector space is called a basis (bases) if every element of may be written in a unique way as a finite linear combination of elements of.
See Neural coding and Basis (linear algebra)
Binding problem
The consciousness and binding problem is the problem of how objects, background, and abstract or emotional features are combined into a single experience.
See Neural coding and Binding problem
Biological neuron model
Biological neuron models, also known as spiking neuron models, are mathematical descriptions of the conduction of electrical signals in neurons. Neural coding and Biological neuron model are Computational neuroscience.
See Neural coding and Biological neuron model
Brain
The brain is an organ that serves as the center of the nervous system in all vertebrate and most invertebrate animals.
Cerebral cortex
The cerebral cortex, also known as the cerebral mantle, is the outer layer of neural tissue of the cerebrum of the brain in humans and other mammals.
See Neural coding and Cerebral cortex
Channelrhodopsin
Channelrhodopsins are a subfamily of retinylidene proteins (rhodopsins) that function as light-gated ion channels.
See Neural coding and Channelrhodopsin
Chemical synapse
Chemical synapses are biological junctions through which neurons' signals can be sent to each other and to non-neuronal cells such as those in muscles or glands.
See Neural coding and Chemical synapse
Cognitive map
A cognitive map is a type of mental representation which serves an individual to acquire, code, store, recall, and decode information about the relative locations and attributes of phenomena in their everyday or metaphorical spatial environment.
See Neural coding and Cognitive map
Copula (probability theory)
In probability theory and statistics, a copula is a multivariate cumulative distribution function for which the marginal probability distribution of each variable is uniform on the interval.
See Neural coding and Copula (probability theory)
Deep learning
Deep learning is the subset of machine learning methods based on neural networks with representation learning.
See Neural coding and Deep learning
Depression (mood)
Depression is a mental state of low mood and aversion to activity.
See Neural coding and Depression (mood)
Digital data
Digital data, in information theory and information systems, is information represented as a string of discrete symbols, each of which can take on one of only a finite number of values from some alphabet, such as letters or digits.
See Neural coding and Digital data
Drosophila
Drosophila is a genus of fly, belonging to the family Drosophilidae, whose members are often called "small fruit flies" or pomace flies, vinegar flies, or wine flies, a reference to the characteristic of many species to linger around overripe or rotting fruit.
See Neural coding and Drosophila
Edgar Adrian
Edgar Douglas Adrian, 1st Baron Adrian (30 November 1889 – 4 August 1977) was an English electrophysiologist and recipient of the 1932 Nobel Prize for Physiology, won jointly with Sir Charles Sherrington for work on the function of neurons.
See Neural coding and Edgar Adrian
Electrophysiology
Electrophysiology (from Greek ἥλεκτ, ēlektron, "amber"; φύσις, physis, "nature, origin"; and -λογία, -logia) is the branch of physiology that studies the electrical properties of biological cells and tissues.
See Neural coding and Electrophysiology
Feature integration theory
Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing.
See Neural coding and Feature integration theory
Fraction
A fraction (from fractus, "broken") represents a part of a whole or, more generally, any number of equal parts.
See Neural coding and Fraction
Frequency
Frequency (symbol f), most often measured in hertz (symbol: Hz), is the number of occurrences of a repeating event per unit of time.
See Neural coding and Frequency
GABAergic
In molecular biology and physiology, something is GABAergic or GABAnergic if it pertains to or affects the neurotransmitter gamma-aminobutyric acid (GABA).
See Neural coding and GABAergic
Graded potential
Graded potentials are changes in membrane potential that vary according to the size of the stimulus, as opposed to being all-or-none.
See Neural coding and Graded potential
Grandmother cell
The grandmother cell, sometimes called the "Jennifer Aniston neuron", is a hypothetical neuron that represents a complex but specific concept or object.
See Neural coding and Grandmother cell
Grid cell
A grid cell is a type of neuron within the entorhinal cortex that fires at regular intervals as an animal navigates an open area, allowing it to understand its position in space by storing and integrating information about location, distance, and direction.
See Neural coding and Grid cell
High-frequency oscillations
High-frequency oscillations (HFO) are brain waves of the frequency faster than ~80 Hz, generated by neuronal cell population. Neural coding and High-frequency oscillations are Computational neuroscience and neural circuitry.
See Neural coding and High-frequency oscillations
Hippocampus
The hippocampus (hippocampi; via Latin from Greek ἱππόκαμπος, 'seahorse') is a major component of the brain of humans and other vertebrates.
See Neural coding and Hippocampus
Kenyon cell
Kenyon cells are the intrinsic neurons of the mushroom body, a neuropil found in the brains of most arthropods and some annelids.
See Neural coding and Kenyon cell
Light
Light, visible light, or visible radiation is electromagnetic radiation that can be perceived by the human eye.
Linear combination
In mathematics, a linear combination is an expression constructed from a set of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of x and y would be any expression of the form ax + by, where a and b are constants).
See Neural coding and Linear combination
Local field potential
Local field potentials (LFP) are transient electrical signals generated in nerves and other tissues by the summed and synchronous electrical activity of the individual cells (e.g. neurons) in that tissue.
See Neural coding and Local field potential
Matching pursuit
Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete (i.e., redundant) dictionary D. The basic idea is to approximately represent a signal f from Hilbert space H as a weighted sum of finitely many functions g_ (called atoms) taken from D.
See Neural coding and Matching pursuit
Maximum entropy probability distribution
In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of a specified class of probability distributions.
See Neural coding and Maximum entropy probability distribution
Maximum likelihood estimation
In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data.
See Neural coding and Maximum likelihood estimation
Mitral cell
Mitral cells are neurons that are part of the olfactory system.
See Neural coding and Mitral cell
Models of neural computation
Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. Neural coding and Models of neural computation are Computational neuroscience.
See Neural coding and Models of neural computation
Moment (mathematics)
In mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph.
See Neural coding and Moment (mathematics)
Muscle
Muscle is a soft tissue, one of the four basic types of animal tissue.
Mushroom bodies
The mushroom bodies or corpora pedunculata are a pair of structures in the brain of arthropods, including insects and crustaceans, and some annelids (notably the ragworm Platynereis dumerilii).
See Neural coding and Mushroom bodies
Mutual information
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables.
See Neural coding and Mutual information
Neural coding
Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the neuronal responses, and the relationship among the electrical activities of the neurons in the ensemble. Neural coding and neural coding are Computational neuroscience and neural circuitry.
See Neural coding and Neural coding
Neural correlates of consciousness
The neural correlates of consciousness (NCC) are the minimal set of neuronal events and mechanisms sufficient for the occurrence of the mental states to which they are related.
See Neural coding and Neural correlates of consciousness
Neural decoding
Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already been encoded and represented in the brain by networks of neurons. Neural coding and Neural decoding are Computational neuroscience and neural circuitry.
See Neural coding and Neural decoding
Neural network
A neural network is a group of interconnected units called neurons that send signals to one another.
See Neural coding and Neural network
Neural network (biology)
A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Neural coding and neural network (biology) are Computational neuroscience.
See Neural coding and Neural network (biology)
Neural network (machine learning)
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. Neural coding and neural network (machine learning) are Computational neuroscience.
See Neural coding and Neural network (machine learning)
Neural oscillation
Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural coding and neural oscillation are Computational neuroscience and neural circuitry.
See Neural coding and Neural oscillation
Neuron
A neuron, neurone, or nerve cell is an excitable cell that fires electric signals called action potentials across a neural network in the nervous system.
Neuronal ensemble
A neuronal ensemble is a population of nervous system cells (or cultured neurons) involved in a particular neural computation.
See Neural coding and Neuronal ensemble
Neuroscience
Neuroscience is the scientific study of the nervous system (the brain, spinal cord, and peripheral nervous system), its functions and disorders.
See Neural coding and Neuroscience
Noise
Noise is sound, chiefly unwanted, unintentional, or harmful sound considered unpleasant, loud, or disruptive to mental or hearing faculties.
Normal distribution
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable.
See Neural coding and Normal distribution
Olfactory bulb
The olfactory bulb (Latin: bulbus olfactorius) is a neural structure of the vertebrate forebrain involved in olfaction, the sense of smell.
See Neural coding and Olfactory bulb
Olfactory system
The olfactory system or sense of smell is the sensory system used for smelling (olfaction).
See Neural coding and Olfactory system
Optogenetics
Optogenetics is a biological technique to control the activity of neurons or other cell types with light.
See Neural coding and Optogenetics
Organism
An organism is defined in a medical dictionary as any living thing that functions as an individual.
See Neural coding and Organism
Parkinson's disease
Parkinson's disease (PD), or simply Parkinson's, is a long-term neurodegenerative disease of mainly the central nervous system that affects both the motor and non-motor systems of the body.
See Neural coding and Parkinson's disease
Peristimulus time histogram
In neurophysiology, peristimulus time histogram and poststimulus time histogram, both abbreviated PSTH or PST histogram, are histograms of the times at which neurons fire.
See Neural coding and Peristimulus time histogram
Photoreceptor cell
A photoreceptor cell is a specialized type of neuroepithelial cell found in the retina that is capable of visual phototransduction.
See Neural coding and Photoreceptor cell
Point process
In statistics and probability theory, a point process or point field is a collection of mathematical points randomly located on a mathematical space such as the real line or Euclidean space.
See Neural coding and Point process
Population vector
In neuroscience, a population vector is the sum of the preferred directions of a population of neurons, weighted by the respective spike counts. Neural coding and population vector are Computational neuroscience.
See Neural coding and Population vector
Postsynaptic potential
Postsynaptic potentials are changes in the membrane potential of the postsynaptic terminal of a chemical synapse.
See Neural coding and Postsynaptic potential
Probability
Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur.
See Neural coding and Probability
Probability distribution
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.
See Neural coding and Probability distribution
Probability theory
Probability theory or probability calculus is the branch of mathematics concerned with probability.
See Neural coding and Probability theory
Purkinje cell
Purkinje cells or Purkinje neurons, named for Czech physiologist Jan Evangelista Purkyně who identified them in 1837, are a unique type of prominent large neurons located in the cerebellar cortex of the brain. With their flask-shaped cell bodies, many branching dendrites, and a single long axon, these cells are essential for controlling motor activity.
See Neural coding and Purkinje cell
Receptive field
The receptive field, or sensory space, is a delimited medium where some physiological stimuli can evoke a sensory neuronal response in specific organisms.
See Neural coding and Receptive field
Saccade
A saccade (jerk) is a quick, simultaneous movement of both eyes between two or more phases of fixation in the same direction.
Schizophrenia
Schizophrenia is a mental disorder characterized by reoccurring episodes of psychosis that are correlated with a general misperception of reality.
See Neural coding and Schizophrenia
Scholarpedia
Scholarpedia is an English-language wiki-based online encyclopedia with features commonly associated with open-access online academic journals, which aims to have quality content in science and medicine.
See Neural coding and Scholarpedia
Sense of smell
The sense of smell, or olfaction, is the special sense through which smells (or odors) are perceived.
See Neural coding and Sense of smell
Somatosensory system
The somatosensory system is a subset of the sensory nervous system responsible for the perception of touch.
See Neural coding and Somatosensory system
Sound
In physics, sound is a vibration that propagates as an acoustic wave through a transmission medium such as a gas, liquid or solid.
Sound localization
Sound localization is a listener's ability to identify the location or origin of a detected sound in direction and distance.
See Neural coding and Sound localization
Sparse approximation
Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations.
See Neural coding and Sparse approximation
Sparse dictionary learning
Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims at finding a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves.
See Neural coding and Sparse dictionary learning
Sparse distributed memory
Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center.
See Neural coding and Sparse distributed memory
Sparse matrix
In numerical analysis and scientific computing, a sparse matrix or sparse array is a matrix in which most of the elements are zero.
See Neural coding and Sparse matrix
Spike-timing-dependent plasticity
Spike-timing-dependent plasticity (STDP) is a biological process that adjusts the strength of connections between neurons in the brain.
See Neural coding and Spike-timing-dependent plasticity
Statistical dispersion
In statistics, dispersion (also called variability, scatter, or spread) is the extent to which a distribution is stretched or squeezed.
See Neural coding and Statistical dispersion
Statistical fluctuations
Statistical fluctuations are fluctuations in quantities derived from many identical random processes.
See Neural coding and Statistical fluctuations
Statistics
Statistics (from German: Statistik, "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.
See Neural coding and Statistics
Stimulus (physiology)
In physiology, a stimulus is a detectable change in the physical or chemical structure of an organism's internal or external environment.
See Neural coding and Stimulus (physiology)
Taste
The gustatory system or sense of taste is the sensory system that is partially responsible for the perception of taste (flavor).
Temporal lobe
The temporal lobe is one of the four major lobes of the cerebral cortex in the brain of mammals.
See Neural coding and Temporal lobe
Vector quantization
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors.
See Neural coding and Vector quantization
Visual cortex
The visual cortex of the brain is the area of the cerebral cortex that processes visual information.
See Neural coding and Visual cortex
Wavelet
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times.
Yngve Zotterman
Yngve Zotterman (20 September 1898 in Vadstena – 13 March 1982 in Stockholm) was a Swedish neurophysiologist who received his medical training at the Karolinska Institute.
See Neural coding and Yngve Zotterman
See also
Neural circuitry
- Brain–body interaction
- Confabulation (neural networks)
- Cortical column
- Cultured neuronal network
- Default mode network
- Frontoparietal network
- Frontostriatal circuit
- Galves–Löcherbach model
- High-frequency oscillations
- Hybrid neural network
- Large-scale brain network
- Memory-prediction framework
- Nervous system network models
- Neural backpropagation
- Neural circuit
- Neural coding
- Neural decoding
- Neural oscillation
- Neural pathway
- Neurally controlled animat
- Neuronal sprouting
- Neuroplasticity
- Non-spiking neuron
- Nonsynaptic plasticity
- Oja's rule
- Phase precession
- Phase resetting in neurons
- Reentry (neural circuitry)
- Salience network
- Sleep spindle
- Synaptic plasticity
- Synaptic weight
- Target selection
- The NeuroGenderings Network
- Wilson–Cowan model
References
Also known as Brain code, Correlation code, Correlation coding, Correlation encoding, Independent-spike code, Independent-spike coding, Independent-spike encoding, Neural code, Neural encoding, Neural representation, NeuroElectroDynamics, Neuronal code, Neuronal coding, Phase-of-firing code, Population code, Population coding, Population encoding, Rate code, Rate coding, Rate encoding, Sparse code, Sparse coding, Sparse encoding, Sparseness, Temporal code, Temporal coding, Temporal encoding.