Table of Contents
29 relations: AMPA receptor, Associative memory (psychology), Bayes' theorem, Behavior selection algorithm, Ca2+/calmodulin-dependent protein kinase II, Cerebral cortex, Cortical column, Cortical minicolumn, Data mining, Feedforward neural network, Gamma wave, Hebbian theory, KTH Royal Institute of Technology, LTP induction, MNIST database, Neocortex, Neural backpropagation, Neural network (machine learning), Neuromodulation, Neuroplasticity, NMDA receptor, Recurrent neural network, Reinforcement learning, Second-order co-occurrence pointwise mutual information, Spiking neural network, SpiNNaker, Synaptic tagging, Winner-take-all (computing), Working memory.
AMPA receptor
The α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (also known as AMPA receptor, AMPAR, or quisqualate receptor) is an ionotropic transmembrane receptor for glutamate (iGluR) and predominantly Na+ ion channel that mediates fast synaptic transmission in the central nervous system (CNS).
Associative memory (psychology)
In psychology, associative memory is defined as the ability to learn and remember the relationship between unrelated items.
See BCPNN and Associative memory (psychology)
Bayes' theorem
Bayes' theorem (alternatively Bayes' law or Bayes' rule, after Thomas Bayes) gives a mathematical rule for inverting conditional probabilities, allowing us to find the probability of a cause given its effect.
Behavior selection algorithm
In artificial intelligence, a behavior selection algorithm, or action selection algorithm, is an algorithm that selects appropriate behaviors or actions for one or more intelligent agents.
See BCPNN and Behavior selection algorithm
Ca2+/calmodulin-dependent protein kinase II
/calmodulin-dependent protein kinase II (CaM kinase II or CaMKII) is a serine/threonine-specific protein kinase that is regulated by the /calmodulin complex.
See BCPNN and Ca2+/calmodulin-dependent protein kinase II
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.
Cortical column
A cortical column is a group of neurons forming a cylindrical structure through the cerebral cortex of the brain perpendicular to the cortical surface.
Cortical minicolumn
A cortical minicolumn (also called cortical microcolumn) is a vertical column through the cortical layers of the brain.
See BCPNN and Cortical minicolumn
Data mining
Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
Feedforward neural network
A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers.
See BCPNN and Feedforward neural network
Gamma wave
A gamma wave or gamma rhythm is a pattern of neural oscillation in humans with a frequency between 25 and 140 Hz, the 40 Hz point being of particular interest.
Hebbian theory
Hebbian theory is a neuropsychological theory claiming that an increase in synaptic efficacy arises from a presynaptic cell's repeated and persistent stimulation of a postsynaptic cell.
KTH Royal Institute of Technology
The KTH Royal Institute of Technology (lit), abbreviated KTH, is a public research university in Stockholm, Sweden.
See BCPNN and KTH Royal Institute of Technology
LTP induction
The induction of NMDA receptor-dependent long-term potentiation (LTP) in chemical synapses in the brain occurs via a fairly straightforward mechanism.
MNIST database
The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems.
Neocortex
The neocortex, also called the neopallium, isocortex, or the six-layered cortex, is a set of layers of the mammalian cerebral cortex involved in higher-order brain functions such as sensory perception, cognition, generation of motor commands, spatial reasoning and language.
Neural backpropagation
Neural backpropagation is the phenomenon in which, after the action potential of a neuron creates a voltage spike down the axon (normal propagation), another impulse is generated from the soma and propagates towards the apical portions of the dendritic arbor or dendrites (from which much of the original input current originated).
See BCPNN and Neural backpropagation
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. BCPNN and neural network (machine learning) are artificial neural networks.
See BCPNN and Neural network (machine learning)
Neuromodulation
Neuromodulation is the physiological process by which a given neuron uses one or more chemicals to regulate diverse populations of neurons.
Neuroplasticity
Neuroplasticity, also known as neural plasticity or brain plasticity, is the ability of neural networks in the brain to change through growth and reorganization.
NMDA receptor
The N-methyl-D-aspartate receptor (also known as the NMDA receptor or NMDAR), is a glutamate receptor and predominantly Ca2+ ion channel found in neurons.
Recurrent neural network
Recurrent neural networks (RNNs) are a class of artificial neural networks for sequential data processing.
See BCPNN and Recurrent neural network
Reinforcement learning
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward.
See BCPNN and Reinforcement learning
Second-order co-occurrence pointwise mutual information
In computational linguistics, second-order co-occurrence pointwise mutual information is a semantic similarity measure.
See BCPNN and Second-order co-occurrence pointwise mutual information
Spiking neural network
Spiking neural networks (SNNs) are artificial neural networks (ANN) that more closely mimic natural neural networks. BCPNN and Spiking neural network are artificial neural networks.
See BCPNN and Spiking neural network
SpiNNaker
SpiNNaker (spiking neural network architecture) is a massively parallel, manycore supercomputer architecture designed by the Advanced Processor Technologies Research Group (APT) at the Department of Computer Science, University of Manchester.
Synaptic tagging
Synaptic tagging, or the synaptic tagging hypothesis, has been proposed to explain how neural signaling at a particular synapse creates a target for subsequent plasticity-related product (PRP) trafficking essential for sustained LTP and LTD.
See BCPNN and Synaptic tagging
Winner-take-all (computing)
Winner-take-all is a computational principle applied in computational models of neural networks by which neurons compete with each other for activation. BCPNN and Winner-take-all (computing) are artificial neural networks.
See BCPNN and Winner-take-all (computing)
Working memory
Working memory is a cognitive system with a limited capacity that can hold information temporarily.