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. This article aims to provide an overview of the most definitive models of neuro-biological computation as well as the tools commonly used to construct and analyze them.
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- enModels 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. This article aims to provide an overview of the most definitive models of neuro-biological computation as well as the tools commonly used to construct and analyze them.
- Has abstract
- enModels 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. This article aims to provide an overview of the most definitive models of neuro-biological computation as well as the tools commonly used to construct and analyze them.
- Hypernym
- Attempts
- Is primary topic of
- Models of neural computation
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- enModels of neural computation
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- www.dickinson.caltech.edu/
- www.proberts.net/research/
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- Action potential
- Action potentials
- Alan Lloyd Hodgkin
- Analog computer
- Analog delay line
- Analogue electronics
- Andrew Huxley
- Artificial neural network
- Axon
- Backpropagation
- Category:Computational neuroscience
- Category:Ethology
- Category:Neuroethology
- Central nervous system
- Central pattern generator
- Cerebellum
- Coefficients
- Cognitive architecture
- Cognitive map
- Computational neuroscience
- Contrast (vision)
- Control theory
- Cross-correlation
- Curve fitting
- Density
- Digital data
- Digital electronics
- Drosophila
- Dynamical systems
- FitzHugh–Nagumo model
- Gauss–Newton algorithm
- Genetic algorithms
- Geometrization
- Gradient descent
- Graphical user interface
- Halteres
- High-pass filter
- Hindmarsh–Rose model
- Hoc (programming language)
- Hodgkin–Huxley model
- Horseshoe crab
- Illusion
- Inhibitory
- Interaural time difference
- Ipsilateral
- Lateral inhibition
- Levenberg–Marquardt algorithm
- Linear algebra
- Linear filter
- Lloyd A. Jeffress
- Low-pass filter
- LTI System Theory
- Luminance
- Mach bands
- Motion perception
- Neural coding
- Neural correlate
- Neural decoding
- Neuroethology
- Neuroinformatics
- Neuron (software)
- Neuronal networks
- Neurons
- Newton's method
- Nonlinearity
- Optical flow
- Ordinary differential equation
- Parallel computing
- Photoreceptor cell
- Python (programming language)
- Quantitative models of the action potential
- Rodolfo Llinas
- Scientific model
- Sensory-motor coupling
- Sigmoid function
- Signal processing
- Solitary wave (water waves)
- Soliton
- Soliton model in neuroscience
- Sound
- Space-time
- Spiking neural network
- Squid giant axon
- Systems neuroscience
- Tensor
- Tensor network theory
- Transfer function
- Transformation geometry
- Voltage clamp
- Voltage-gated ion channel
- Von Neumann architecture
- SameAs
- 51EXU
- m.09gkfft
- Q8588916
- مدلهای محاسبه عصبی
- Subject
- Category:Computational neuroscience
- Category:Ethology
- Category:Neuroethology
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- Models of neural computation?oldid=1098931727&ns=0
- WikiPageLength
- 25750
- Wikipage page ID
- 25345530
- Wikipage revision ID
- 1098931727
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- Template:Neuroethology
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