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68 relations: Action potential, Alan Lloyd Hodgkin, Analog computer, Analog delay line, Analogue electronics, Anatomical terms of location, Andrew Huxley, Artificial neural network, Backpropagation, Central pattern generator, Coefficient, Cognitive architecture, Cognitive map, Computational neuroscience, Contrast (vision), Control theory, Cross-correlation, Curve fitting, Digital data, Digital electronics, Drosophila, Dynamical system, FitzHugh–Nagumo model, Gauss–Newton algorithm, Genetic algorithm, Gradient descent, Graphical user interface, Halteres, High-pass filter, Hindmarsh–Rose model, Hoc (programming language), Horseshoe crab, Illusion, Inhibitory postsynaptic potential, Interaural time difference, Lateral inhibition, Levenberg–Marquardt algorithm, Linear algebra, Linear filter, Lloyd A. Jeffress, Low-pass filter, Luminance, Mach bands, Motion perception, Neural coding, Neural correlate, Neural decoding, Neuroethology, Neuroinformatics, Neuron, ..., Neuron (software), Newton's method, Nonlinear system, Optical flow, Ordinary differential equation, Parallel computing, Photoreceptor cell, Python (programming language), Scientific modelling, Sigmoid function, Signal processing, Spiking neural network, Squid giant axon, Systems neuroscience, Transfer function, Voltage clamp, Voltage-gated ion channel, Von Neumann architecture. Expand index (18 more) »
Action potential
In physiology, an action potential occurs when the membrane potential of a specific axon location rapidly rises and falls: this depolarisation then causes adjacent locations to similarly depolarise.
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Alan Lloyd Hodgkin
Sir Alan Lloyd Hodgkin (5 February 1914 – 20 December 1998) was an English physiologist and biophysicist, who shared the 1963 Nobel Prize in Physiology or Medicine with Andrew Huxley and John Eccles.
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Analog computer
An analog computer or analogue computer is a form of computer that uses the continuously changeable aspects of physical phenomena such as electrical, mechanical, or hydraulic quantities to model the problem being solved.
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Analog delay line
An analog delay line is a network of electrical components connected in cascade, where each individual element creates a time difference or phase change between its input signal and its output signal.
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Analogue electronics
Analogue electronics (also spelled analog electronics) are electronic systems with a continuously variable signal, in contrast to digital electronics where signals usually take only two levels.
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Anatomical terms of location
Standard anatomical terms of location deal unambiguously with the anatomy of animals, including humans.
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Andrew Huxley
Sir Andrew Fielding Huxley (22 November 191730 May 2012) was a Nobel Prize-winning English physiologist and biophysicist.
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Artificial neural network
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
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Backpropagation
Backpropagation is a method used in artificial neural networks to calculate a gradient that is needed in the calculation of the weights to be used in the network.
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Central pattern generator
Central pattern generators (CPGs) are biological neural circuits that produce rhythmic outputs in the absence of rhythmic input.
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Coefficient
In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series or any expression; it is usually a number, but may be any expression.
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Cognitive architecture
A cognitive architecture can refer to a theory about the structure of the human mind.
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Cognitive map
A cognitive map (sometimes called a mental map or mental model) 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.
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Computational neuroscience
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
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Contrast (vision)
Contrast is the difference in luminance or colour that makes an object (or its representation in an image or display) distinguishable.
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Control theory
Control theory in control systems engineering deals with the control of continuously operating dynamical systems in engineered processes and machines.
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Cross-correlation
In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other.
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Curve fitting
Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.
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Digital data
Digital data, in information theory and information systems, is the discrete, discontinuous representation of information or works.
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Digital electronics
Digital electronics or digital (electronic) circuits are electronics that operate on digital signals.
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Drosophila
Drosophila is a genus of flies, belonging to the family Drosophilidae, whose members are often called "small fruit flies" or (less frequently) pomace flies, vinegar flies, or wine flies, a reference to the characteristic of many species to linger around overripe or rotting fruit.
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Dynamical system
In mathematics, a dynamical system is a system in which a function describes the time dependence of a point in a geometrical space.
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FitzHugh–Nagumo model
The FitzHugh–Nagumo model (FHN), named after Richard FitzHugh (1922–2007) who suggested the system in 1961 and J. Nagumo et al.
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Gauss–Newton algorithm
The Gauss–Newton algorithm is used to solve non-linear least squares problems.
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Genetic algorithm
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA).
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Gradient descent
Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function.
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Graphical user interface
The graphical user interface (GUI), is a type of user interface that allows users to interact with electronic devices through graphical icons and visual indicators such as secondary notation, instead of text-based user interfaces, typed command labels or text navigation.
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Halteres
In dipterous insects, halteres (singular halter or haltere) are minute dumbbell-shaped organs which have been modified from hindwings to provide a means of encoding body rotations during flight.
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High-pass filter
A high-pass filter (HPF) is an electronic filter that passes signals with a frequency higher than a certain cutoff frequency and attenuates signals with frequencies lower than the cutoff frequency.
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Hindmarsh–Rose model
The Hindmarsh–Rose model of neuronal activity is aimed to study the spiking-bursting behavior of the membrane potential observed in experiments made with a single neuron.
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Hoc (programming language)
hoc, an acronym for High Order Calculator, is an interpreted programming language that was used in the 1984 book The Unix Programming Environment to demonstrate how to build interpreters using Yacc.
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Horseshoe crab
Horseshoe crabs are marine and brackish water arthropods of the family Limulidae, suborder Xiphosurida, and order Xiphosura.
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Illusion
An illusion is a distortion of the senses, which can reveal how the human brain normally organizes and interprets sensory stimulation.
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Inhibitory postsynaptic potential
An inhibitory postsynaptic potential (IPSP) is a kind of synaptic potential that makes a postsynaptic neuron less likely to generate an action potential.
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Interaural time difference
The interaural time difference (or ITD) when concerning humans or animals, is the difference in arrival time of a sound between two ears.
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Lateral inhibition
In neurobiology, lateral inhibition is the capacity of an excited neuron to reduce the activity of its neighbors.
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Levenberg–Marquardt algorithm
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used to solve non-linear least squares problems.
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Linear algebra
Linear algebra is the branch of mathematics concerning linear equations such as linear functions such as and their representations through matrices and vector spaces.
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Linear filter
Linear filters process time-varying input signals to produce output signals, subject to the constraint of linearity.
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Lloyd A. Jeffress
Lloyd Alexander Jeffress (November 15, 1900 – April 2, 1986) was an acoustical scientist, a professor of Experimental Psychology at the University of Texas at Austin, a developer of mine-hunting models for the US Navy during World War II and after, and the man Nobel Laureate Linus Pauling credited with getting him interested in chemistry.
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Low-pass filter
A low-pass filter (LPF) is a filter that passes signals with a frequency lower than a certain cutoff frequency and attenuates signals with frequencies higher than the cutoff frequency.
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Luminance
Luminance is a photometric measure of the luminous intensity per unit area of light travelling in a given direction.
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Mach bands
Mach bands is an optical illusion named after the physicist Ernst Mach.
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Motion perception
Motion perception is the process of inferring the speed and direction of elements in a scene based on visual, vestibular and proprioceptive inputs.
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Neural coding
Neural coding is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the individual or ensemble neuronal responses and the relationship among the electrical activity of the neurons in the ensemble.
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Neural correlate
A neural correlate of a content of experience is any bodily component, such as an electro-neuro-biological state or the state assumed by some biophysical subsystem of the brain, whose presence necessarily and regularly correlates with such a specific content of experience.
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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.
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Neuroethology
Neuroethology is the evolutionary and comparative approach to the study of animal behavior and its underlying mechanistic control by the nervous system.
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Neuroinformatics
Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools.
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Neuron
A neuron, also known as a neurone (British spelling) and nerve cell, is an electrically excitable cell that receives, processes, and transmits information through electrical and chemical signals.
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Neuron (software)
Neuron is a simulation environment for modeling individual and networks of neurons.
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Newton's method
In numerical analysis, Newton's method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function.
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Nonlinear system
In mathematics and science, a nonlinear system is a system in which the change of the output is not proportional to the change of the input.
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Optical flow
Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene.
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Ordinary differential equation
In mathematics, an ordinary differential equation (ODE) is a differential equation containing one or more functions of one independent variable and its derivatives.
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Parallel computing
Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.
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Photoreceptor cell
A photoreceptor cell is a specialized type of neuroepithelial cell found in the retina that is capable of visual phototransduction.
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Python (programming language)
Python is an interpreted high-level programming language for general-purpose programming.
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Scientific modelling
Scientific modelling is a scientific activity, the aim of which is to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate by referencing it to existing and usually commonly accepted knowledge.
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Sigmoid function
A sigmoid function is a mathematical function having a characteristic "S"-shaped curve or sigmoid curve.
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Signal processing
Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements.
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Spiking neural network
Spiking neural networks (SNNs) fall into the third generation of artificial neural network models, increasing the level of realism in a neural simulation.
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Squid giant axon
The squid giant axon is the very large (up to 1 mm in diameter; typically around 0.5 mm) axon that controls part of the water jet propulsion system in squid.
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Systems neuroscience
Systems neuroscience is a subdiscipline of neuroscience and systems biology that studies the function of neural circuits and systems.
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Transfer function
In engineering, a transfer function (also known as system function or network function) of an electronic or control system component is a mathematical function giving the corresponding output value for each possible value of the input to the device.
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Voltage clamp
The voltage clamp is an experimental method used by electrophysiologists to measure the ion currents through the membranes of excitable cells, such as neurons, while holding the membrane voltage at a set level.
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Voltage-gated ion channel
Voltage-gated ion channels are a class of transmembrane proteins that form ion channels that are activated by changes in the electrical membrane potential near the channel.
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Von Neumann architecture
The von Neumann architecture, which is also known as the von Neumann model and Princeton architecture, is a computer architecture based on the 1945 description by the mathematician and physicist John von Neumann and others in the First Draft of a Report on the EDVAC.
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References
[1] https://en.wikipedia.org/wiki/Models_of_neural_computation
